CN108920342B - Method and device for realizing data acquisition of application - Google Patents

Method and device for realizing data acquisition of application Download PDF

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Publication number
CN108920342B
CN108920342B CN201810416153.2A CN201810416153A CN108920342B CN 108920342 B CN108920342 B CN 108920342B CN 201810416153 A CN201810416153 A CN 201810416153A CN 108920342 B CN108920342 B CN 108920342B
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data
user
end page
retention
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CN108920342A (en
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李宠波
刘旺
孙逸旻
程思源
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Beijing Qihoo Technology Co Ltd
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Beijing Qihoo Technology Co Ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00Error detection; Error correction; Monitoring
    • G06F11/30Monitoring
    • G06F11/34Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation ; Recording or statistical evaluation of user activity, e.g. usability assessment
    • G06F11/3466Performance evaluation by tracing or monitoring
    • G06F11/3476Data logging

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Abstract

The invention discloses a method and a device for realizing data acquisition of an application, electronic equipment and a computer-readable storage medium. The method comprises the following steps: acquiring buried point data corresponding to each buried point of the designated application, and storing the data to a designated database; providing a front-end page; receiving a buried point selection instruction of a user about a specified application through a front-end page; and searching corresponding buried point data from the specified database according to the buried point selection instruction, and displaying the data through a front-end page. Therefore, according to the technical scheme, the full-buried points can be firstly carried out on the designated application according to the requirement, and the buried point data of all the buried points can be obtained. When the embedded point demands exist, corresponding embedded point data are directly obtained from the corresponding database, so that the user does not need to manually embed the point, the situation of mistaken embedded point is not easy to occur, the embedded point data can be obtained in real time, time and labor are saved, convenience is brought to the user, and the embedded point demands of the user are met.

Description

Method and device for realizing data acquisition of application
Technical Field
The invention relates to the technical field of computers, in particular to a method and a device for realizing data acquisition of an application, electronic equipment and a computer-readable storage medium.
Background
In the field of computers, after an application is developed and released, in order to meet the requirements of monitoring the application or analyzing the cause of a problem and the like, the application needs to be embedded to obtain corresponding data, the obtained data is analyzed, and then monitoring of the application or searching of the cause of the problem is completed, so that the running condition of the application is mastered, and the performance of the application is improved according to the mastered condition, so that higher requirements of users are met. In the prior art, the situation that the temporary spot burying is required or the spot burying is forgotten for the published specific application inevitably occurs, and the spot burying needs to be carried out manually. However, the manual spot burying engineering is large in quantity, easy to make mistakes carelessly, long in development period, time-consuming and labor-consuming.
Disclosure of Invention
In view of the above, the present invention has been made to provide a method, an apparatus, an electronic device and a computer readable storage medium for implementing data collection of an application that overcome or at least partially solve the above-mentioned problems.
According to one aspect of the invention, a method for realizing data acquisition of an application is provided, wherein the method is suitable for a specific application of a buried point, and the method comprises the following steps:
Acquiring buried point data corresponding to each buried point of the specified application, and storing the data to a specified database;
providing a front-end page;
receiving a buried point selection instruction of a user about the specified application through the front-end page;
and searching corresponding buried point data from the specified database according to the buried point selection instruction, and displaying the data through the front-end page.
According to another aspect of the present invention, there is provided an apparatus for implementing data acquisition of an application, wherein the apparatus is suitable for a specific application of a buried point, the apparatus includes:
the buried point data acquisition unit is suitable for acquiring buried point data corresponding to each buried point of the specified application and storing the buried point data to a specified database;
a providing unit adapted to provide a front-end page;
a buried point instruction receiving unit, which is suitable for receiving a buried point selection instruction of a user about the specified application through the front end page;
and the buried point data display unit is suitable for searching corresponding buried point data from the specified database according to the buried point selection instruction and displaying the data through the front-end page.
According to still another aspect of the present invention, there is provided an electronic apparatus, wherein the electronic apparatus includes:
A processor; and a memory arranged to store computer executable instructions that, when executed, cause the processor to perform a method according to the foregoing.
According to yet another aspect of the present invention, there is provided a computer readable storage medium, wherein the computer readable storage medium stores one or more programs which, when executed by a processor, implement the aforementioned method.
According to the technical scheme of the invention, the data of the buried points corresponding to the buried points of the designated application are obtained and stored in the designated database; providing a front-end page; receiving a buried point selection instruction of a user about a specified application through a front-end page; and searching corresponding buried point data from the specified database according to the buried point selection instruction, and displaying the data through a front-end page. Therefore, according to the technical scheme, the full-buried points can be firstly carried out on the designated application according to the requirement, and the buried point data of all the buried points can be obtained. When the embedded point demands exist, corresponding embedded point data are directly obtained from the corresponding database, so that the user does not need to manually embed the point, the situation of mistaken embedded point is not easy to occur, the embedded point data can be obtained in real time, time and labor are saved, convenience is brought to the user, and the embedded point demands of the user are met.
The foregoing description is only an overview of the technical solutions of the present invention, and the embodiments of the present invention are described below in order to make the technical means of the present invention more clearly understood and to make the above and other objects, features, and advantages of the present invention more clearly understandable.
Drawings
Various additional advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the invention. Also, like reference numerals are used to refer to like parts throughout the drawings. In the drawings:
FIG. 1 shows a flow diagram of a method of implementing data collection for an application, according to one embodiment of the invention;
FIG. 2 illustrates an effect diagram of a front end page according to one embodiment of the invention; FIG. 2(a) shows a schematic diagram of a front-end page showing address information for buried point selection for a specified application; FIG. 2(b) shows a schematic diagram of address information being triggered; FIG. 2(c) shows a schematic diagram of receiving a buried point selection by a specified application; FIG. 2(d) is a schematic diagram showing the receipt of description information of a buried point by a specified application; FIG. 2(e) shows a schematic diagram of the display of buried dots at the front end page; FIG. 2(f) is a schematic diagram illustrating the effect of receiving a first preset condition through a front end page; fig. 2(g) is another effect diagram for receiving a first preset condition through a front page; FIG. 2(h) shows a schematic diagram of a data analysis result packet presentation; FIG. 2(i) is a schematic diagram illustrating the receipt of a save as single graph request by a front end page; FIG. 2(j) is a schematic diagram illustrating the receipt of a Save as a pointer request by a front end page; FIG. 2(k) shows a schematic diagram of a metrics management page of the front end page; FIG. 2(l) shows a schematic diagram of adding metrics through a front end page; FIG. 2(m) shows a schematic diagram of creating a composite index through a front end page; FIG. 2(n) shows a schematic diagram of receiving a retention analysis request through a retention analysis page of a front-end page; FIG. 2(o) shows a schematic diagram of a retention result presentation; FIG. 2(p) shows a schematic diagram of another retention result presentation; FIG. 2(q) shows another schematic diagram of receiving a retention analysis request through a retention analysis page of a front-end page; FIG. 2(r) shows a schematic diagram of receiving a persistence comparison request through a persistence analysis page of a front-end page; FIG. 2(s) shows a schematic of a retention comparison result presentation; FIG. 2(t) shows a schematic diagram of another retention comparison result presentation;
Fig. 3 shows a schematic structural diagram of an apparatus for implementing data acquisition of an application according to an embodiment of the present invention.
FIG. 4 shows a schematic structural diagram of an electronic device according to one embodiment of the invention;
fig. 5 shows a schematic structural diagram of a computer-readable storage medium according to an embodiment of the present invention.
Detailed Description
Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
FIG. 1 shows a flow diagram of a method of implementing data collection for an application, according to one embodiment of the invention. As shown in fig. 1, the method is suitable for the designated application of the buried point, and the present embodiment explains the scheme from the server side. The method comprises the following steps:
and step S110, acquiring buried point data corresponding to each buried point of the specified application, and storing the data to a specified database.
The designated application applicable to the embodiment has been completely embedded, that is, when the designated application is released, embedding meeting various requirements has been performed.
Step S120, providing a front page.
In step S130, a buried point selection instruction of the user about the specified application is received through the front end page.
The server establishes connection with the terminal equipment (for example, a PC and the like), provides a front-end page for the terminal equipment through the connection, inputs a corresponding embedded point selection instruction in the front-end page by a user, returns the embedded point selection instruction to the server through the connection, and receives the embedded point selection instruction.
Step S140, according to the buried point selection instruction, finding out the corresponding buried point data from the specified database, and displaying through the front-end page.
Therefore, according to the embodiment, the full-buried point can be firstly carried out on the designated application according to the requirement, and the buried point data of all the buried points can be obtained. When the embedded point demands exist, corresponding embedded point data are directly obtained from the corresponding database, so that the user does not need to manually embed the point, the situation of mistaken embedded point is not easy to occur, the embedded point data can be obtained in real time, time and labor are saved, convenience is brought to the user, and the embedded point demands of the user are met.
In an embodiment of the present invention, the obtaining of the buried point data corresponding to each buried point of the designated application in step S110 includes: and acquiring the data of the buried points corresponding to the buried points of the appointed application at regular time or according to a preset frequency.
The designated application can be actively sent to the server after generating the buried point data, so that the server can store the buried point data in the designated database. The server may also obtain the buried point data as the designated application, in this embodiment, the server obtains the buried point data corresponding to each buried point of the designated application at regular time or according to a preset frequency, for example, once a day; the acquisition was performed once at 24 o' clock each day.
In one embodiment of the present invention, the receiving, through the front end page, the user' S buried point selection instruction regarding the specified application in step S130 includes: generating address information for performing buried point selection on a specified application, and displaying the address information on a front-end page; when the address information is triggered, displaying a corresponding page for performing embedded point selection on the specified application to the user, and receiving an embedded point selection instruction of the specified application from the user through the page.
In this embodiment, in order to facilitate the user to perform the buried point selection, corresponding address information for performing the buried point selection is generated, and then displayed on the front-end page, so that the user performs the buried point selection through the address information. Because the address information corresponds to the page for performing embedded point selection on the specified application, the user can enter the page through the address information and perform embedded point selection in the page, and the server can complete embedded point selection on the specified application according to the operation of the user.
Specifically, the page for performing the embedded point selection on the specified application may be a list of embedded point information of the embedded point of the specified application, and the user may perform the selection through the list, or may be address information of the specified application, and the user performs the embedded point selection by accessing the specified application, which is described in detail below.
(1) The above-mentioned address information is address information of a page including a buried point information list specifying a buried point in an application.
Then the above-mentioned presenting the corresponding page for performing the buried point selection on the specified application to the user includes: a page is presented to the user that includes a list of buried point information that specifies buried points in the application.
For example, the buried points include open login activity, open dialogng, and the like, and then the buried points such as open login activity, open dialogng, and the like are listed in the buried point information list of the page for buried point selection, and the user can perform buried point selection by clicking the buried points in the list.
(2) The address information is a two-dimensional code or a website link corresponding to the specified application.
The above-mentioned presenting a page for performing the buried point selection on the specified application to the user, and the receiving, through the page, the buried point selection instruction of the user about the specified application includes: and jumping to the corresponding specified application, and receiving a buried point selection instruction of the specified application by the specified application.
In this embodiment, a user may access a corresponding designated application by scanning a two-dimensional code or opening a website link, and then perform a buried point selection in the designated application. Here, jumping to the corresponding designated application means that the server controls the corresponding terminal to jump to the designated application.
Specifically, when the address information is a two-dimensional code corresponding to the designated application and it is monitored that the two-dimensional code is scanned by a terminal device, before jumping to the corresponding designated application, the method further includes: judging whether the terminal equipment is provided with the specified application or not according to the two-dimensional code; if yes, controlling the terminal equipment to jump to a specified application; if not, prompting without appointed application is carried out.
For example, a two-dimensional code corresponding to a specified application is displayed in a front-end page, and a user scans the two-dimensional code through a mobile phone, and then controls the mobile phone to jump to a specified application interface. It should be noted that it needs to be ensured that the specified application is installed on the mobile phone, so it needs to be determined whether the specified application is installed on the mobile phone first, and when the specified application is installed, it needs to be ensured that the specified application further includes a corresponding data acquisition SDK for implementing the embodiment.
Specifically, when the address information is a website link and it is monitored that the specified information is clicked, jumping to the specified application includes: and opening a new page in the browser, and loading the webpage corresponding to the address information in the new page according to the address information.
In this embodiment, the front page is opened through a browser of a terminal device, for example, a browser installed in a desktop computer, and when the website link is opened, a new page needs to be opened by the browser or a default browser of the terminal device, and a corresponding web page is loaded in the page.
Further, the receiving, by the specified application, the user's buried point selection instruction about the specified application includes: loading a covering layer on a page of a specified application, wherein the covering layer comprises a draggable selection identifier; and monitoring the dragging action of the selection identifier of the covering layer, when the selection identifier stops being dragged, determining the corresponding element information of the designated application according to the position of the selection identifier in the display interface when the selection identifier stops being dragged, and obtaining the buried point which is selected by the user and is related to the designated application according to the determined element information.
In order to facilitate the user to select the buried point, the server can receive the buried point selection of the user. After the user triggers the address information, a corresponding page is loaded with a cover layer, and the cover layer has a draggable selection identifier, such as a circle with a proper size. The user can select by dragging the selection identifier, and the server monitors the action of the selection identifier to judge which buried point is selected by the user.
Still further, the obtaining of the user-selected buried point related to the specified application according to the determined element information further includes obtaining description information of the user-selected buried point related to the specified application, and specifically includes: and acquiring a screenshot of the determined element, receiving input of a name corresponding to the screenshot through a designated application, and taking the acquired screenshot and the received name as description information of the selected buried point.
When the user selects the buried point, the buried point selected by the user is displayed in a front-end page, for example, in a circle selection index interface in an index management page shown in fig. 2 (k).
In a specific example, fig. 2 shows an effect diagram of a front end page according to an embodiment of the present invention. The front-end page shown in fig. 2 further includes a data overview page, an OLAP analysis page, an index management page, a single-graph page, a retention analysis page, a user grouping page, and a circled page. The technical scheme about the point burying of the above embodiments can be realized by circling pages.
FIG. 2(a) shows a schematic diagram of a front-end page showing address information for buried point selection for a specified application; FIG. 2(b) shows a schematic diagram of address information being triggered; FIG. 2(c) shows a schematic diagram of receiving a buried point selection by a specified application; FIG. 2(d) is a schematic diagram showing the receipt of description information of a buried point by a specified application; fig. 2(e) shows a schematic diagram showing buried dots at the front page. As shown in fig. 2(a) to 2(e), displaying a two-dimensional code of a specific application on a circled page in a front-end page, prompting to use a browser of a mobile phone to scan the two-dimensional code, and clicking to wake up the circled selection; when a user uses the mobile phone to scan the two-dimensional code, whether the specified application is opened or not is prompted, and after an opening instruction is received, the mobile phone is controlled to jump to the specified application, and a covering layer is loaded in a page of the specified application, wherein the covering layer comprises a selection identifier (such as a circular identifier in fig. 2 (b)) for dragging; and monitoring the action of dragging the circular mark by the user, and when the user stops dragging the circular mark, determining the position of the circular mark. The method comprises the steps that the position of an open view alias element of an application is specified, the element selected by a user is the open view alias element through position acquisition, namely a selected buried point is the open view alias; acquiring a screenshot of the determined alias element of the open view, displaying the screenshot in the specified application opened by the mobile phone, receiving an input of the name of the buried point through the specified application, namely 'live to ninety nine', and storing the buried point selected by the user after the storage control is triggered; in the circled index list in the circled index interface of the index management page shown in fig. 2, if the name of the circled buried point index is "live to ninety nine", the type is a circled index, and when the user clicks the index, the description information of the index is shown: the "name" information, the "page" information, and the screenshot information of the element, and the data information of the buried point (not shown in the figure) are also displayed.
In one embodiment of the present invention, the method shown in fig. 1 further comprises: acquiring service data of a designated application, and storing the acquired service data to a designated database; receiving a data analysis request aiming at one or more specified indexes meeting a first preset condition through a front-end page; acquiring service data meeting a first preset condition from a specified database according to a data analysis request, and acquiring analysis results of one or more specified indexes according to the acquired service data meeting the first preset condition; and displaying the obtained analysis result of one or more specified indexes on a front-end page.
After an application is released, in order to facilitate better understanding of the situation of the released application, a large amount of data analysis needs to be performed according to the business data generated after the application is released, so as to obtain a desired analysis result. In the prior art, a demander puts forward a demand of the demander to a data analyzer, or acquires relevant data from a large amount of service data according to the demand of the demander, and manually analyzes the acquired data to obtain a required analysis result, which increases the labor cost of data processing for application and reduces the efficiency.
After the designated application is successfully published, a large amount of service data, such as behavior data of a user, a channel of a data source and the like, is generated, and after the service data of the designated application is acquired, the acquired data is stored in a designated database. In this embodiment, the data analysis requests for the specified indexes meeting the first preset condition, where the specified indexes are related data that the user needs to obtain, such as the number of users, the number of events, the number of log entries, and the like, and the first preset condition is the specified indexes meeting which conditions the specified indexes to obtain. For example, if the designated index is the number of users, the data analysis request is a data analysis request of the number of users meeting the first preset condition.
The method includes the steps that original service data of designated application stored in a designated database are obtained, and if data analysis results of one or more designated indexes meeting a first preset condition are obtained, corresponding original service data need to be obtained from the designated database, the obtained original service data are analyzed, and then the data analysis results of the one or more designated indexes meeting the first preset condition are obtained. The data analysis result obtained here is data meeting one or more specified indexes of the first preset condition, for example, based on the above example, the data analysis result obtained is the number of users meeting the first preset condition.
In this embodiment, the obtained data analysis result is displayed on a front-end page for a user to view, so that data visualization is realized.
Therefore, according to the embodiment, the user can obtain the corresponding analysis result only by providing the data analysis request according to the own requirement, the data analysis efficiency is improved, the operation is simple, the labor cost is saved, the visual display of the data analysis result is realized, and the user experience is improved.
FIG. 2 illustrates an effect diagram of a front end page according to one embodiment of the invention. As shown in fig. 2, the user may input a data analysis request meeting one or more specified criteria of a first preset condition through the front-end page. Fig. 2 shows data analysis results corresponding to data analysis requests of the number of users, the number of log entries (r), and the number of events (event _ acc) in 12 months and 1 days in 2017. The number of users is 1613, the number of log entries is 1.9 ten thousand, and the number of events is 3917. It should be noted that the number of users here is m2 as a statistical unit, and m2 here is determined by the IMEI, android ID, and product serial number SN of the device, which is not a key point of the present technical solution, and is not specifically described here. The statistical unit of the number of users can be set according to the demand. As shown in fig. 2, an index list is displayed in the lower left corner of the front-end page, and a user can perform index selection at the position, and the current state shown in fig. 2 is a state in which all three indexes are selected, and the user can also select one or more of the three indexes, that is, the user can receive the selection of one or more designated indexes through the front-end page.
In addition, the front-end page shown in fig. 2 further specifically includes a data overview page, an OLAP analysis page, an index management page, a single-graph page, a retention analysis page, a user grouping page, and a circled page, where receiving a data analysis request of a user and displaying a data analysis result are mainly performed on the OLAP analysis page, a point-burying scheme is mainly implemented by the circled page, and specific conditions of other pages will be described in detail below.
In an embodiment of the present invention, the service data stored in the designated database is correspondingly stored according to a dimension; each dimension includes one or more sub-dimensions.
The providing of the front end page in step S120 includes: the dimension list is presented at a specified location in the front page.
The first preset condition includes: business data filtering criteria for one or more of the sub-dimensions;
the obtaining, according to the data analysis request, the service data meeting the first preset condition from the specified database includes: and acquiring the business data corresponding to the corresponding one or more sub-dimensions from the specified database according to a first preset condition.
In this embodiment, the designated database may store the service data in the storage manner shown in table 1.
TABLE 1
Time Channel for irrigation Region of origin User ID
T1 C1 D1 ID-1
T2 C2 D2 ID-2
T3 C1 D3 ID-3
As shown in table 1, time, channel, and region represent dimensions, with each row representing a piece of data. The designated database in this embodiment is stored by dimension, for example, a library database.
In this embodiment, the specified application is installed with a corresponding SDK for acquiring service data, and according to the service data acquired by the SDK, dimension information matched with the specified application can be acquired, that is, each dimension in the specified database is matched with the specified application. In order to meet the requirement of a user for data analysis of various dimensions during data analysis, a dimension list is displayed in a front-end page. As shown in fig. 2, the dimension list is presented at the top left of the front page, including: the method comprises the following steps of active user identification, Cpu, resolution, an operating system version number, a network type, an App name, an App package name, an App version number (integer), an App version number (character), an App version before upgrading and other dimension information. Each dimension, in turn, includes one or more sub-dimensions, e.g., the operating system dimensions include a sub-dimension ios system and a sub-dimension android system. When a user inputs a data analysis request in the front page as shown in fig. 2, a filtering condition, i.e., a first preset condition, may be input at the location of "filtering". When the user inputs the first preset condition, the server may obtain corresponding data from the specified database according to the first preset condition, for example, if the filtering condition input by the user is "channel 1", it is sufficient that the data of channel 1 is correspondingly obtained and recorded from the channel dimension in the specified database.
Specifically, the receiving, by the front-end page, a data analysis request for one or more specified indicators meeting a first preset condition includes: monitoring the dragging operation of a front-end page to one dimension in the dimension list, displaying the sub-dimension list of the dimension at a first designated position when the dimension is dragged to the first designated position of the front-end page, receiving the selection of one or more sub-dimensions of the dimension by a user through the front-end page, and taking the selected one or more sub-dimensions of the dimension as service data filtering conditions.
In this embodiment, the dimensions in the dimension list are draggable. As shown in fig. 2, when the user inputs a first preset condition, a dimension may be selected from the dimension list of the front page, and the dimension may be dragged directly to the "filtering" position, that is, the first designated position is the "filtering" position. For example, fig. 2(f) shows an effect diagram of receiving a first preset condition through a front-end page, and when a user selects a "mobile phone brand" dimension in a dimension list and drags the dimension to a "filtering" position, a sub-dimension list of the "mobile phone brand" dimension is presented, including the sub-dimensions: the method comprises the steps that when a user selects one or more sub-dimensions, clicking is determined, and the first preset condition is received through a front-end page.
In this embodiment, the first designated position may also be a position of "drawing top plate" as shown in fig. 2, and a prompt of "drag dimension to here" is presented. Fig. 2(g) shows another effect diagram of receiving the first preset condition through the front-end page, when the user selects the "mobile phone brand" dimension to drag to the position of the "top of the figure", a list of sub-dimensions of the "mobile phone brand" dimension is also shown, including the sub-dimensions: samsung, Huawei, coolpad, xiaomi, etc., when a user selects one or more of the sub-dimensions, the selected sub-dimensions may be presented at a "filter" location. In this case, the operation can be made more convenient.
Further, the obtaining, according to the first preset condition, the service data corresponding to the corresponding one or more sub-dimensions from the specified database includes: when it is monitored that one dimension in the dimension list is dragged to a first specified position, all service data of the dimension are obtained from a specified database; when one or more sub-dimensions of the dimension are monitored to be selected, acquiring the corresponding service data of the selected one or more sub-dimensions from all the acquired service data of the dimension. For example, if it is monitored that the dimension of the 'mobile phone brand' is dragged to the 'filtering' position, all service data of the mobile phone brand are acquired from the specified database, and when the sub-dimension 'Huawei' is selected, the service data of the Huawei are acquired from all the service data of the mobile phone brand. Namely, the mode of acquiring the service data in real time is adopted, so that the speed of acquiring the service data can be improved, and the efficiency of data analysis is further improved.
Specifically, the filtration condition is any one of the following conditions: is equal to a condition; comprising the condition; the conditions were excluded.
The filtering condition is explained for the dimension in the first preset condition, the equal condition is equal to the selected dimension, and the included condition is included in the selected dimension; the exclusion condition is that the selected dimension is not included.
In an embodiment of the present invention, the data analysis request further includes: the conditions are presented with respect to the grouping of one or more dimensions.
The displaying the obtained analysis result of one or more specified indexes on the front-end page includes: and grouping the obtained analysis results of one or more specified indexes according to the grouping display conditions of one or more dimensions and displaying the analysis results on the front-end page according to the sub-dimensions corresponding to the one or more dimensions.
In order to make the analysis result clearer and make the data visualization more friendly, the analysis result can be grouped during data display, namely, the grouped display is performed. Fig. 2(h) shows a schematic diagram of data analysis result grouping presentation. As shown in fig. 2(h), at the "grouping" position, adding city dimension, and at the channel dimension, grouping the analysis results according to the city, and then grouping the analysis results according to the channel in each city group, for example, the group in beijing city contains the analysis result data of each channel; if the channel dimension is added firstly, and the city dimension is added, the analysis results are grouped according to the channels firstly and then grouped according to the cities in each channel.
Specifically, the above grouping presentation condition with respect to one or more dimensions is determined by the following steps: and monitoring the dragging operation of the front-end page to one dimension in the dimension list, and when the dimension is dragged to a second designated position of the front-end page, determining the dimension as a grouping condition of the second dimension.
In this embodiment, the second designated position may be a "grouping" position as shown in fig. 2, and the dragging is similar to the way of receiving the filtering condition, that is, a dimension selected from the dimension list is dragged to the second designated position, and the dimension may be used as a grouping condition.
In an embodiment of the present invention, the displaying, on the front end page, the analysis result of the obtained one or more specified indicators includes: and displaying the obtained analysis result of one or more specified indexes on a front-end page in a specified data graph mode.
Specifically, the specified data pattern form described above includes: a data table form; or, in the form of a data bar graph; alternatively, the data is in the form of a graph.
As shown in fig. 2, the data graph type list is displayed below the "filtering" position, and for the data graph type, the user can select the data graph type list in the front-end page according to the requirement, and the analysis result is displayed in the selected data graph type.
In one embodiment of the invention, the method shown in fig. 1 further comprises: receiving a storage request of an analysis result through a front-end page; and storing the analysis results of one or more specified indexes displayed in the front-end page according to the storage request of the analysis results.
And providing a 'saving' control in the front-end page, and executing a step of saving the analysis result when the control is monitored to be triggered. As shown in FIG. 2, a "save" control is provided in the upper right corner of the front end page, and the user can send a save request by clicking on the control.
Here, the analysis result may be stored as a single graph or as an index. See the following description for details.
In an embodiment of the present invention, the storage request of the analysis result is a storage request of a single graph.
Then, the storing the analysis result of the one or more specified indexes displayed in the front-end page according to the storage request of the analysis result includes: storing the analysis result of one or more specified indexes displayed in the front-end page as a single graph in a current data display form according to the single graph storage request, wherein the stored single graph also comprises the description information of the single graph; the description information includes: the name corresponding to the single graph, the corresponding first preset condition and one or more specified indexes.
When a request for saving the analysis result into a single graph is received, saving the analysis result into the single graph according to the request, for example, if the current data graph form of the analysis result is a data list form, saving the analysis result into the data list form; and if the current data graph form of the analysis result is the form of the data bar graph, storing the data bar graph form. In addition, in order to facilitate the user to view the specific information of the saved single picture, the user can also input the name of the single picture to be saved through the front-end page, and then the name, the corresponding first preset condition and one or more specified indexes are saved together during saving.
FIG. 2(i) shows a schematic diagram of the receipt of a save as single graph request by a front end page. As shown, when the "save" control in the front page is triggered, an option of saving as a single graph or as a pointer is prompted. When the single graph is selected to be stored, a request for storing the single graph is received.
As shown in fig. 2(i), when the user needs to save the data analysis results of the time "11/27/2017", the number of users of the mobile phone brand Huawei, the number of log entries, and the number of events as a single graph. Then in the options saved as a single graph, there are associated descriptive information "name (requiring user input)", "description (requiring user input)", "filter condition" information, "grouping condition" information, and index information. And when the user inputs a name and a description (optional) and clicks for determination, correspondingly storing a data list of the data analysis result and related description information. If the user needs to view the single image to be saved, the user can view the single image through the single image page in the front-end page shown in fig. 2, and all the saved single images are displayed on the page.
Further, the method further comprises: when the business data in the designated database is updated, according to a first preset condition in the description information of the single graph, the updated analysis result matched with the single graph is obtained by using the corresponding updated business data of the designated database, and the stored analysis result in the single graph is updated by using the updated analysis result.
In this embodiment, in order to make the analysis result shown in the single graph the latest analysis result, when the business data in the designated database is updated, the analysis result in the single graph needs to be further detailed. Specifically, the updated service data meeting the first preset condition in the description information may be obtained from the specified database according to the description information of the single graph, and then the corresponding data analysis result is obtained and updated.
On the basis of the above example, if the data in the designated database is updated, the service data of the ' cell phone brand is Huawei ' meeting ' 11/27/2017 is acquired from the designated database, the corresponding analysis result is obtained, the analysis result is grouped according to channels and cities, and then the stored single graph is further refined.
In this embodiment, the updated single-diagram presentation allows the user to view the single-diagram page of the front-end page.
Further, the method further comprises:
when a data query request of a specified time period of an analysis result in a stored single image is received through a front-end page, acquiring corresponding service data of the specified time period from a specified database according to a first preset condition in description information corresponding to the single image; obtaining an analysis result of the specified time period matched with the stored single graph according to the obtained corresponding service data of the specified time period; and updating the analysis result in the stored single graph by using the obtained analysis result of the specified time period.
In this embodiment, the stored single graph is mainly a single graph of analysis result data in a certain time, for example, data analysis results of one or more specified indexes meeting the first preset condition in the last seven days. The user may also select other time periods for presentation of the data analysis results, for example, a control providing time period selection in a single graph page in the front page.
For example, a stored single graph shows analysis result data of the number of users meeting the first preset condition from 12/1/2017 to 12/7/2017, so that when the user selects between 11/22/2017 and 11/29/2017, the service data meeting the first preset condition in the time period is obtained to obtain an analysis result of the number of users, and the analysis result of the number of users from 11/22/2017 to 11/29/2017 is displayed in the single graph.
In one embodiment of the present invention, the method shown in fig. 1 further comprises: receiving a request for a data overview through a front-end page; and displaying the one or more stored designated single graphs on a front-end page according to a preset display mode.
When too many single images are saved and a user needs to separately view a part of the single images, the embodiment further provides a data overview function, for example, the data overview function is triggered by clicking a data overview page of the front page shown in fig. 2. A drop-down list of saved single charts is provided in the page, one or more of which may be selected by the user for presentation on the data overview page.
The preset display mode in this embodiment includes information such as a display order of the single pictures, a size of the displayed single picture, and the like, and when the user selects the single picture to be displayed, the single picture is displayed according to the preset display mode.
Further, the method further comprises: receiving an editing operation on the one or more displayed specified single graphs through the front-end page; and editing the displayed one or more designated single pictures according to the editing operation, and updating the preset display mode by using the display mode of the edited one or more designated single pictures.
Specifically, the editing operation herein includes one or more of the following: deleting one or more specified single graphs currently displayed; adding one or more designated single graphs; changing the size of one or more specified single graphs that are exposed; and changing the display position of one or more specified single graphs displayed.
In an embodiment of the invention, the request for saving the analysis result is a request for saving the index.
Then, the storing the analysis result of the one or more specified indexes displayed in the front-end page according to the request for storing the analysis result includes: and according to the storage request of the indexes, storing one of one or more specified indexes corresponding to the analysis result in the front-end page as a self-defined index.
When a request for storing the index is received, one index corresponding to the analysis result is stored as the index according to the request, and the index is defined by the user and is stored as a self-defined index. Which specific index is stored here can be obtained from the received request to store as an index.
FIG. 2(j) shows a schematic diagram of the receipt of a Save as index request by a front end page. As shown, when the "save" control in the front page is triggered, an option of saving as a single graph or as a pointer is prompted. When the index is selected to be stored, the request stored as the index is received. Because the index is for one index, the user can only select one of the one or more specified indexes to save.
After the data is stored as the user-defined index, the user does not need to input the first preset condition again, and the user can directly select the user-defined index to obtain a corresponding data analysis result.
Furthermore, the stored user-defined index also comprises the description information of the user-defined index.
Wherein the description information includes: and displaying the description information on the front-end page through the name of the self-defined index received by the front-end page and a first preset condition corresponding to the analysis result. .
In addition, in order to facilitate the user to check the specific information of the saved index, the user can also input the name of the customized index to be saved through the front-end page, so that the name and the corresponding first preset condition are correspondingly saved during saving, and when the user checks the customized index, the corresponding description information is displayed, so that the user can know the meaning of the customized index during checking.
As shown in fig. 2(j), when the user needs to save the user number with the filter condition of "any one of the cellular phone brands, Huawei" as the user definition. Then in the options saved as indices, there are associated descriptive information "name (requiring user input)", "description (requiring user input)", "filter condition" information, and index information. When the user inputs the index name and description (optional), selects one of the designated indexes, and clicks to determine, the user-defined index and the related description information are correspondingly stored. If the user needs to view the stored user-defined index, the user can view the stored user-defined index through the index management page in the front-end page shown in fig. 2, all the stored user-defined indexes are displayed on the page, and the description information corresponding to the respective defined indexes is also displayed on the page.
Fig. 2(k) shows a schematic diagram of the index management page of the front end page. As shown in the figure, the stored customized indicator is displayed in the page, for example, the stored customized indicator with the name "the brand of the mobile phone is hua yi", and when the customized indicator is clicked, the description information "name", "filtering" information, "indicator" information, and the recent analysis result of the customized indicator are displayed.
In addition, the user can directly create the custom index instead of saving the custom index in a saving mode. The control for creating a simple index as shown in fig. 2(k) is triggered to enter an interface for creating a custom index.
In an embodiment of the present invention, the method further includes: receiving a request to add an index through a front-end page; displaying the stored self-defined index in a window of a front-end page to which the index is to be added according to the index adding request; and receiving a selection instruction of the user-defined index through the front-end page, determining the selected user-defined index as the index needing to be added, and displaying the determined index needing to be added in the front-end page.
In this embodiment, a function of analyzing the user-defined index again may also be implemented, where the user-defined index is used as a specified index in the data analysis request. In order to enable the user to select the custom metrics, an add metrics control is provided in the front end page.
Fig. 2(l) shows a schematic diagram of adding indexes by a front end page. As shown in the figure, when the plus sign in the index list in fig. 2 is triggered, the stored self-defined index is displayed in a window to be added with an index of the front-end page, for example, the stored index has self-defined indexes such as "the brand of a mobile phone is hua chi", "the brand of a mobile phone is millet", and the user can select the self-defined index by clicking, and then the selected self-defined index is displayed in a list bar of the "selected index", and after the selection is finished, the user clicks to store, and then the selected self-defined index is displayed in the index list shown in fig. 2, so that the user can select the index when inputting a data analysis request.
Further, the method further comprises: receiving a sharing instruction of the stored analysis result through a front-end page; sharing the stored analysis result to a specified user according to the sharing instruction; and when the login of the appointed user is monitored, displaying the stored analysis result in a front-end page of the appointed user.
In this embodiment, the stored analysis results, such as the single graph or the custom index, may be shared, so that other people may also obtain corresponding analysis result data.
Preferably, the technical scheme can be applied to the interior of an enterprise, and the user can use the technical scheme by registering an account, because the user is used in the interior of the enterprise, the user can distinguish between a group and a department, and when the user needs to share, the stored analysis result can be shared to other users in the same group or other users in the same department or a designated user through a sharing instruction. And when the shared user logs in by using the registered account, displaying the shared analysis result in the front-end page of the user. For example, the user 1 shares the stored user-defined index 1 with the user 2, and after the user 2 is detected to log in, the user-defined index 1 is displayed in an index management page in a front-end page of the user 2. Preferably, while the custom index 1 is shown in the front page, note that the custom index 1 is shared by the user 2 to the user 2.
In one embodiment of the present invention, the method shown in fig. 1 further comprises:
receiving a request for creating a composite index through a front-end page, wherein the request for creating the composite index comprises the name of the composite index to be created, two or more corresponding specified indexes and the operation relation of the two or more specified indexes; according to the request for creating the composite index, correspondingly storing the name of the composite index to be created, the corresponding two or more designated indexes and the operation relationship of the two or more designated indexes as one composite index; and displaying the stored composite index on a front-end page.
In this embodiment, the user may add a composite index through the front-end page, where the composite index is formed by an operation relationship between two or more specified indexes, and the specified index is the specified index or the custom index in the above description. When creating the composite index, the user may input the name of the corresponding composite index, select two or more specified indexes from the specified index list, and select an operation relationship between the two or more specified indexes, such as addition, subtraction, multiplication, division, and the like, or may be a composite operation relationship, such as index 1+ index 2 × index 3. When the user finishes inputting through the front page, the composite index can be created according to the composite index creating request of the user.
In this embodiment, in order to facilitate the user to view the created composite index, after the composite index is created, the composite index is displayed on the front-end page.
As shown in fig. 2(k), the index management page includes not only a simple index interface but also a composite index interface, and the user may also complete the creation of the composite index by triggering the creation of the composite index control at the upper right corner of the page, and after the creation of the composite index is completed, the created composite index is displayed in a list in the composite index interface. Fig. 2(m) shows a schematic diagram of creating a composite index through the front end page, and as shown in the figure, the composite index list includes the created composite index "Top 3 total amount ratio", "pop-up conversion rate", and the like. The composite index "pop-up conversion rate" is the number of users clicked by the index pop-up divided by the number of users displayed by the pop-up.
Further, the method further comprises: receiving a data analysis request for the stored composite index through a front-end page; acquiring service data for obtaining two or more designated indexes in the composite indexes from a designated database according to the data analysis request of the composite indexes; obtaining two or more pieces of specified index data according to the obtained service data; calculating two or more pieces of specified index data according to the stored operational relationship of the two or more pieces of specified indexes of the composite index to obtain an analysis result corresponding to the composite index; and displaying the analysis result corresponding to the obtained composite index on a front-end page.
In this embodiment, data analysis may also be performed on the composite index, and specifically, if the corresponding composite index is clicked, the operation relationship information of the composite index and the data analysis result of the composite index may be displayed in the front-end page, where the data analysis result is displayed in a designated data graph form.
As shown in fig. 2(m), when the user clicks the composite index "pop-up conversion rate", the corresponding operation relationship of the composite index is shown, that is, the number of users clicked by the index pop-up divided by the number of users displayed by the pop-up, and the graph of the data analysis result of the composite index.
Preferably, the user may also download the composite index, that is, may download the stored information of the composite index and the current data analysis result.
In an embodiment of the present invention, the method further includes: correspondingly storing the service data which are acquired from the specified database and accord with the first preset condition and the analysis result of the corresponding one or more specified indexes into a cache; and when the business data in the designated database is updated, updating the business data meeting the first preset condition in the cache, and obtaining and storing the analysis result of the updated one or more designated indexes according to the updated business data meeting the first preset condition.
In view of that it takes a certain time to acquire data from a designated database with a huge data volume each time data analysis is performed, in this embodiment, after a user performs data analysis of one or more designated indexes, corresponding service data and analysis results are stored in a cache and updated according to update of the service data in the designated database, so that when the user performs the same data analysis again, the corresponding data analysis results can be directly acquired from the cache, the time for acquiring data is saved, and the efficiency of data analysis is improved.
Further, the method further comprises: when a data analysis request aiming at one or more specified indexes meeting the first preset condition is received again through the front-end page, the corresponding updated analysis result of the one or more specified indexes is obtained from the cache and displayed in the front-end page.
For example, after the user saves the data analysis result of this time in the form of a user-defined index or a single graph, when the analysis result displayed in the single graph is updated or the user performs the data analysis of the user-defined index again, the corresponding analysis result can be directly obtained through the cache, the data analysis result can be quickly displayed to the user, and the user experience is improved.
In one embodiment of the present invention, the method shown in fig. 1 further comprises: receiving a user retention analysis request meeting a second preset retention condition through a front-end page; acquiring corresponding service data from the designated database according to a second preset retention condition, and acquiring a user retention result meeting the second preset retention condition according to the acquired service data; and displaying the obtained user retention result meeting the second preset retention condition on a front-end page in a specified data graph mode.
After the designated application is released and operated, the user can use the designated application, but the user may abandon the use of the designated application after using the designated application for a period of time, which may cause the product value of the designated application to be reduced. Therefore, user retention analysis for a given application is crucial.
In this embodiment, the retention analysis request is a user retention analysis request meeting a first preset retention condition, that is, a retention condition of a user using the specified application is analyzed, specifically, a condition of the user starting to use the application within a certain period of time and continuing to use the application after a certain period of time.
Through the embodiment, the user retention analysis is carried out on the designated application according to the business data of the designated application, the user can input the corresponding second preset retention condition in the front-end page according to the requirement, and the obtained result is the user retention result which accords with the second preset retention condition. Like this, the user that obtains satisfying the demand that the user can be convenient reserves the result to realized reserving the visualization of result, improved the efficiency of reserving the analysis, need not user manual analysis, easy operation satisfies user's reservation analysis demand, improves user and uses experience.
In one embodiment of the present invention, the specified data pattern form includes: a data graph form and/or a data table form.
In this embodiment, the retention result may be displayed in the form of a data curve graph, or may be displayed in the form of a data table; in addition, because the data curve graph can show the trend condition more intuitively, and the data table form can show the specific data more intuitively, in order to be more convenient for the user to check the retention result, the data curve graph and the data table of the retention result can be simultaneously shown on the front-end page.
In an embodiment of the present invention, the second preset retention condition includes an initial behavior condition and a subsequent behavior condition.
The initial behavior condition and the subsequent behavior condition in this embodiment may limit the requirement that a user needing to perform retention analysis needs to meet, that is, the retention analysis is the retention condition of the analyzed user meeting the initial condition while using the user meeting the subsequent behavior condition, for example, the initial behavior condition is login, the subsequent behavior condition is clicking element 1 in the specified application, and the retention result is the user retention condition after the login operation is started and the clicking operation of element 1 is performed.
The initial behavior condition and the subsequent behavior condition may be the same or different.
Fig. 2(n) shows a schematic diagram of receiving a retention analysis request through a retention analysis page of a front-end page, as shown, a user can input corresponding initial behavior conditions and subsequent behavior conditions through the retention analysis page, because to perform the retention analysis, an active user can be selected in a user type, and a trend type is a retention trend. When the user clicks the initial behavior, a corresponding drop-down list appears, the list lists corresponding operation behaviors that the user can perform on the specified application, such as the click times of a recording button, the click times of a personal avatar, and the like, and similarly, subsequent behavior conditions can also be selected in the same manner.
Fig. 2(o) shows a schematic diagram of a retention result presentation, as shown, the retention result is the retention result of all behavior-compliant users that meet the initial behavior condition "personal avatar click number", and the subsequent behavior condition "personal avatar click number". Wherein 27 days 11 and 2017 are regarded as retention rate of 100%, and retention rate data of six days later are shown in the analysis result. When the user places the mouse at the corresponding location, the corresponding specific data may appear, such as "20171127, all behavioral-user 100%". Fig. 2(p) shows a schematic diagram of another retention result presentation, as shown, the retention trend details may also be presented in the form of a data table in the front page, and the forms "All", "#", "%" of the data may be selected for more intuitive viewing of the specific detail data by the user.
In a specific embodiment, the obtaining of the corresponding service data from the specified database according to the second preset retention condition includes: acquiring service data meeting the initial behavior conditions from a specified database, and acquiring service data meeting the subsequent behavior conditions from the specified database;
the obtaining of the user retention result meeting the second preset retention condition according to the obtained service data includes: determining a corresponding first user information set according to the acquired service data meeting the initial behavior condition; determining a corresponding second user information set according to the acquired service data meeting the follow-up behavior conditions; obtaining an intersection of the first user information set and the second user information set to obtain a third user information set; and taking the ratio of the number of the users in the third user information set to the number of the users in the first user information set as a user retention result meeting a second preset retention condition.
In order to more clearly explain the retention analysis in the above description, a retention analysis method is exemplified in this embodiment. The service data meeting the initial behavior condition in the first time is the service data meeting the initial behavior condition, and is generally regarded as the retention rate of 100% as a reference of retention analysis, while the service data meeting the subsequent behavior condition is the service data meeting the subsequent behavior condition in the second time, and is the time needing the retention analysis, for example, if 11 and 27 days in 2017 are the first time, then 11 and 28 days in 2017 are to be performed, and if 11 and 28 days in 2017 are to be performed, then 11 and 28 days in 2017 are the second time.
For example, if the initial behavior condition is "personal avatar click" and the subsequent behavior condition is "personal avatar click", the service data meeting the initial behavior condition is the service data meeting "personal avatar click" in the service data of 27 days 11 and 11 months in 2017, and the service data meeting the subsequent behavior condition is the service data meeting "personal avatar click" in the service data of 28 days 11 and 11 months in 2017. The intersection of the first user information set and the second user information set is taken to obtain the third user information set, so that users meeting the preset retention condition on the day of 11, 28 and 2017 are excluded. Finally, if the number of the third user set is 500 and the number of the users of the first user set is 1000, the retention result is 50%, that is, the retention result of the users meeting the initial behavior condition of "personal avatar click" and the subsequent behavior condition of "personal avatar click" in 2017 is 50% in comparison with the initial behavior condition of 2017 in 11 and 27 in 11 and 28 in 11.
Further, the initial behavior condition further comprises one or more dimension conditions; and/or the subsequent behavior condition further comprises one or more dimension conditions.
In this embodiment, the initial behavior pricing and/or the subsequent behavior conditions are divided more finely, so as to obtain more detailed data analysis results, and the user requirements can be further met.
Specifically, when the initial behavior condition includes a plurality of dimensional conditions, the plurality of dimensional conditions are and/or relationships therebetween; when the subsequent behavior condition comprises a plurality of dimension conditions, the plurality of dimension conditions are and/or relationships.
Fig. 2(q) shows another schematic diagram of receiving a retention analysis request through a retention analysis page of a front-end page, as shown in the figure, a user may further perform a finer division on an initial behavior condition and/or a subsequent behavior condition through the retention analysis page in the front-end page, for example, as shown in the figure, the initial behavior condition further includes: the day-series sub-dimension in the "event attributes" dimension is excluded and includes "millet mi, oppo and Hua hw" in the "channels" dimension.
In an embodiment of the present invention, the method further includes: receiving a result saving request saved by a user through a front-end page; and according to the user retention result storage request, storing the user retention result which is displayed in the front-end page and accords with the second preset retention condition into a single image in a current data display form.
If the user wants to save the retention result displayed by the front-end page, a save request can be sent through the front-end page, and then the current data retention result is saved in a single-graph form. In addition, the saved user retention results may also be presented in a front end page, e.g., a single-graph page in the front end page.
In an embodiment of the present invention, the method further includes:
receiving a user retention comparison analysis request meeting a second preset retention condition through a front-end page; requesting two or more specified sub-dimensions including the specified dimension; according to the user retention comparison analysis request, user retention result data corresponding to each designated sub-dimension of the designated dimension are respectively obtained from the obtained user retention result meeting the second preset retention condition; obtaining a user retention comparative analysis result between each appointed sub-dimension of the appointed dimension according to the acquired data corresponding to each appointed sub-dimension of the appointed dimension; and displaying the obtained user retention comparison analysis result on a front-end page in a specified data graph mode.
The embodiment can meet the requirement of the user on comparison of retention results of different dimensions. Fig. 2(r) shows a schematic diagram of receiving a retention comparison request through a retention analysis page of a front-end page, as shown in the figure, a user may trigger a dimension comparison control in the retention analysis page of the front-end page, a server may display a dimension list in the front-end page, and when a dimension is selected, simultaneously display a sub-dimension list of the dimension, as shown in the figure, on the basis of fig. 2(n), after the user selects samsung, xiaomi, oppo, and huawei under a mobile phone brand dimension, the server may receive the retention comparison request meeting the conditions of samsung, xiaomi, oppo, and huawei that are "personal avatar click" as an initial behavior condition and "personal avatar click" as a subsequent behavior condition.
Fig. 2(s) shows a schematic diagram of a retention comparison result display, as shown in the figure, a data graph of retention comparison results of samsung, xiaomi, oppo and huawei which meet the condition that the initial behavior condition is "personal avatar click" and the subsequent behavior condition is "personal avatar click" is displayed, so that a user can visually check corresponding retention trends of samsung, xiaomi, oppo and huawei and the contrast between the retention trends, and when a cursor is placed in a corresponding legend, the data curve of the corresponding legend is highlighted, such as the effect of "circle enlargement" in the figure, so as to be conveniently viewed by the user. Fig. 2(t) shows another schematic diagram of retention comparison result presentation, and as shown in the figure, a retention analysis comparison result data table with retention trend details is also presented in the front-end page, through which a user can view user retention specific data of each dimension in detail.
In an embodiment of the present invention, the method further includes:
according to the user retention comparison analysis request, obtaining user retention result data corresponding to the specified dimension from the obtained user retention result of the second preset retention condition; obtaining a user retention result of the specified dimension according with a second preset retention condition according to the obtained user retention result data corresponding to the specified dimension; and overlapping and displaying the obtained user retention result meeting the second preset retention condition in the specified dimension in the specified data graph of the front-end page for displaying the user retention comparative analysis result.
In this embodiment, the user can also view the comparison between each dimension and the total user retention result in the data graph of the retention comparison analysis result. Such as the data presentation of all behavioral users in fig. 2(s) and fig. 2 (t).
Fig. 3 shows a schematic structural diagram of an apparatus for implementing data acquisition of an application according to an embodiment of the present invention. As shown in fig. 3, the apparatus 300 for implementing data acquisition of an application is suitable for a specified application of a buried point, and the apparatus 300 includes:
the buried point data acquisition unit 310 is suitable for acquiring buried point data corresponding to each buried point of a specified application and storing the data to a specified database;
a providing unit 320 adapted to provide a front-end page;
a buried point instruction receiving unit 330 adapted to receive a buried point selection instruction of a user with respect to a specified application through a front end page;
the buried point data display unit 340 is adapted to find out corresponding buried point data from the specified database according to the buried point selection instruction, and display the data through the front-end page.
In an embodiment of the present invention, the buried point data obtaining unit 310 is adapted to obtain the buried point data corresponding to each buried point of the designated application at regular time or according to a preset frequency.
In an embodiment of the present invention, the embedded point instruction receiving unit 330 is adapted to generate address information for selecting embedded points for a specific application, and display the address information on a front-end page; when the address information is triggered, displaying a corresponding page for performing embedded point selection on the specified application to the user, and receiving an embedded point selection instruction of the specified application from the user through the page.
In one embodiment of the present invention, the address information is address information of a page including a buried point information list specifying buried points in an application;
the buried point instruction receiving unit 330 is adapted to present a page including a buried point information list of the buried point in the specified application to the user.
In one embodiment of the invention, the address information is a two-dimensional code or a website link corresponding to the designated application;
and a buried point instruction receiving unit 330 adapted to jump to a corresponding designated application, and receive a buried point selection instruction of the user about the designated application through the designated application.
In an embodiment of the present invention, when the address information is a two-dimensional code corresponding to a specified application and the embedded point instruction receiving unit monitors that the two-dimensional code is scanned by a terminal device, the apparatus shown in fig. 3 further includes:
the judging unit is suitable for judging whether the terminal equipment is provided with the specified application or not according to the two-dimensional code before the embedded point instruction receiving unit executes the step of jumping to the corresponding specified application; if the terminal equipment is judged to be the embedded point, informing the embedded point instruction receiving end element to execute the step of controlling the terminal equipment to jump to the specified application; if not, prompting without appointed application is carried out.
In an embodiment of the present invention, when the address information is a website link and the embedded point instruction receiving unit monitors that the designated information is clicked, the embedded point instruction receiving unit is adapted to open a new page in the browser, and load a webpage corresponding to the address information in the new page according to the address information.
In an embodiment of the present invention, the dotting instruction receiving unit 330 is adapted to load a cover layer on the page of the specified application, where the cover layer includes a draggable selection identifier; and monitoring the dragging action of the selection identifier of the covering layer, when the selection identifier stops being dragged, determining the corresponding element information of the designated application according to the position of the selection identifier in the display interface when the selection identifier stops being dragged, and obtaining the buried point which is selected by the user and is related to the designated application according to the determined element information.
In an embodiment of the present invention, the buried point instruction receiving unit 330 is further adapted to obtain description information about a buried point of a specific application selected by a user, and specifically includes: and acquiring a screenshot of the determined element, receiving input of a name corresponding to the screenshot through a designated application, and taking the acquired screenshot and the received name as description information of the selected buried point.
In one embodiment of the present invention, the apparatus shown in fig. 3 further comprises:
the service data acquisition unit is suitable for acquiring service data of the appointed application and storing the acquired service data to an appointed database;
the data analysis request receiving unit is suitable for receiving a data analysis request aiming at one or more specified indexes meeting a first preset condition through a front-end page;
The analysis result acquisition unit is suitable for acquiring the service data meeting the first preset condition from the specified database according to the data analysis request and acquiring the analysis results of one or more specified indexes according to the acquired service data meeting the first preset condition;
and the analysis result display unit is suitable for displaying the obtained analysis result of one or more specified indexes on the front-end page.
In an embodiment of the present invention, the service data stored in the designated database is correspondingly stored according to a dimension; each dimension comprises one or more sub-dimensions;
a providing unit 320, further adapted to present a dimension list at a specified position in the front-end page;
the first preset condition includes: business data filtering criteria for one or more of the sub-dimensions;
and the analysis result acquisition unit is suitable for acquiring the service data corresponding to the corresponding one or more sub-dimensions from the specified database according to a first preset condition.
In an embodiment of the invention, the data analysis request receiving unit is adapted to monitor a dragging operation of a front-end page to a dimension in a dimension list, when the dimension is dragged to a first specified position of the front-end page, a sub-dimension list of the dimension is displayed at the first specified position, a user selection of one or more sub-dimensions of the dimension is received through the front-end page, and the selected one or more sub-dimensions of the dimension are used as business data filtering conditions.
In one embodiment of the present invention, the above-mentioned filtering condition is any one of the following conditions:
equal to the condition;
comprising the condition;
the conditions were excluded.
In one embodiment of the present invention, the data analysis request further comprises: grouping presentation conditions with respect to one or more dimensions;
and the analysis result display unit is suitable for grouping the obtained analysis results of one or more specified indexes according to the grouping display conditions of one or more dimensions and displaying the analysis results on the front-end page according to the sub-dimensions corresponding to the one or more dimensions.
In one embodiment of the present invention, the data analysis request receiving unit is adapted to determine the grouping presentation condition for one or more dimensions in the data analysis request by:
and monitoring the dragging operation of the front-end page to one dimension in the dimension list, and when the dimension is dragged to a second designated position of the front-end page, determining the dimension as a grouping condition of the second dimension.
In an embodiment of the present invention, the analysis result presentation unit is adapted to present the obtained analysis result of one or more specified indexes in a specified data graph form on the front-end page.
In one embodiment of the present invention, the specified data pattern form includes:
A data table form;
or, in the form of a data bar graph;
alternatively, in the form of a data graph.
In one embodiment of the present invention, the apparatus shown in fig. 3 further comprises:
a save request receiving unit adapted to receive a save request of the analysis result through the front-end page;
and the result storage unit is suitable for storing the analysis result of one or more specified indexes displayed in the front-end page according to the storage request of the analysis result.
In an embodiment of the present invention, the request for saving the analysis result is a request for saving a single graph;
the result storage unit is suitable for storing the analysis result of one or more specified indexes displayed in the front-end page as a single graph in a current data display form according to the storage request of the single graph, wherein the stored single graph also comprises the description information of the single graph; the description information includes: the name corresponding to the single graph, the corresponding first preset condition and one or more specified indexes.
In one embodiment of the present invention, the apparatus shown in fig. 3 further comprises:
and the single-chart updating unit is suitable for obtaining an updated analysis result matched with the single chart by using the corresponding updated service data of the specified database according to a first preset condition in the description information of the single chart when the service data in the specified database is updated, and updating the stored analysis result in the single chart by using the updated analysis result.
In one embodiment of the present invention, the apparatus shown in fig. 3 further comprises:
the data query unit is suitable for acquiring corresponding service data of a specified time period from a specified database according to a first preset condition in the description information corresponding to the single image when a data query request of the specified time period of the analysis result in the stored single image is received through the front-end page; obtaining an analysis result of the specified time period matched with the stored single graph according to the obtained corresponding service data of the specified time period; and updating the analysis result in the stored single graph by using the obtained analysis result of the specified time period.
In one embodiment of the present invention, the apparatus shown in fig. 3 further comprises:
a data overview unit adapted to receive a request for a data overview through a front-end page; and displaying the one or more stored designated single graphs on a front-end page according to a preset display mode.
In one embodiment of the present invention, the apparatus shown in fig. 3 further comprises:
the single-chart editing unit is suitable for receiving an editing operation on one or more displayed specified single charts through a front-end page; and editing the displayed one or more designated single pictures according to the editing operation, and updating the preset display mode by using the display mode of the edited one or more designated single pictures.
In an embodiment of the present invention, the editing operation includes one or more of the following:
deleting one or more specified single graphs currently displayed;
adding one or more designated single graphs;
changing the size of one or more specified single graphs that are exposed;
and changing the display position of one or more specified single graphs displayed.
In one embodiment of the present invention, the storage request of the analysis result is a storage request of the index;
and the result storage unit is suitable for storing one of one or more specified indexes corresponding to the analysis result in the front-end page as a self-defined index according to the storage request of the indexes.
In an embodiment of the present invention, the stored user-defined index further includes description information of the user-defined index;
the description information includes: and receiving the name of the self-defined index and a first preset condition corresponding to the analysis result through the front-end page.
In one embodiment of the present invention, the apparatus shown in fig. 3 further comprises:
an adding unit adapted to receive a request for adding an index through a front-end page; displaying the stored self-defined index in a window of a front-end page to which the index is to be added according to the index adding request; and receiving a selection instruction of the user-defined index through the front-end page, determining the selected user-defined index as the index needing to be added, and displaying the determined index needing to be added in the front-end page.
In one embodiment of the present invention, the apparatus shown in fig. 3 further comprises:
the sharing unit is suitable for receiving a sharing instruction of the stored analysis result through the front-end page; sharing the stored analysis result to a designated user according to the sharing instruction; and when the login of the appointed user is monitored, displaying the stored analysis result in a front-end page of the appointed user.
In one embodiment of the present invention, the apparatus shown in fig. 3 further comprises:
the composite index creating unit is suitable for receiving a request for creating a composite index through a front-end page, wherein the request for creating the composite index comprises the name of the composite index to be created, two or more corresponding specified indexes and the operation relation of the two or more specified indexes; according to the request for creating the composite index, correspondingly storing the name of the composite index to be created, the corresponding two or more designated indexes and the operation relationship of the two or more designated indexes as one composite index; and displaying the stored composite index on a front-end page.
In one embodiment of the present invention, the apparatus shown in fig. 3 further comprises:
a composite index analysis unit adapted to receive a data analysis request for the stored composite index through the front-end page; acquiring service data for obtaining two or more designated indexes in the composite indexes from a designated database according to the data analysis request of the composite indexes; obtaining two or more pieces of specified index data according to the obtained service data; calculating two or more pieces of specified index data according to the stored operational relationship of the two or more pieces of specified indexes of the composite index to obtain an analysis result corresponding to the composite index; and displaying the analysis result corresponding to the obtained composite index on a front-end page.
In one embodiment of the present invention, the apparatus shown in fig. 3 further comprises:
the cache unit is suitable for correspondingly storing the service data which are acquired from the specified database and meet the first preset condition and the analysis result of the corresponding one or more specified indexes into a cache;
and the cache updating unit is suitable for updating the business data meeting the first preset condition in the cache when the business data in the designated database is updated, and obtaining and storing the updated analysis result of one or more designated indexes according to the updated business data meeting the first preset condition.
In an embodiment of the present invention, the analysis result obtaining unit is further adapted to, when a data analysis request for one or more specified indexes meeting the first preset condition is received again through the front-end page, obtain, from the cache, the corresponding updated analysis result of the one or more specified indexes, and present the corresponding updated analysis result in the front-end page.
In one embodiment of the present invention, the apparatus shown in fig. 3 further comprises:
a retention analysis request receiving unit, adapted to receive a user retention analysis request meeting a second preset retention condition through a front-end page;
the retention result acquisition unit is suitable for acquiring corresponding service data from the specified database according to a second preset retention condition and acquiring a user retention result meeting the second preset retention condition according to the acquired service data;
And the retention result display unit is suitable for displaying the obtained user retention result meeting the second preset retention condition on a front-end page in a specified data graph mode.
In one embodiment of the present invention, the specified data pattern form includes: a data graph form and/or a data table form.
In an embodiment of the present invention, the second preset retention condition includes an initial behavior condition and a subsequent behavior condition.
In an embodiment of the present invention, the retention result obtaining unit is adapted to obtain the service data meeting the initial behavior condition from the specified database, and obtain the service data meeting the subsequent behavior condition from the specified database; obtaining a user retention result meeting a second preset retention condition according to the acquired service data comprises: determining a corresponding first user information set according to the acquired service data meeting the initial behavior condition; determining a corresponding second user information set according to the acquired service data meeting the follow-up behavior conditions; obtaining an intersection of the first user information set and the second user information set to obtain a third user information set; and taking the ratio of the number of the users in the third user information set to the number of the users in the first user information set as a user retention result meeting a second preset retention condition.
In one embodiment of the invention, the initial behavioral conditions further include one or more dimensional conditions; and/or the subsequent behavior condition further comprises one or more dimension conditions.
In one embodiment of the invention, when the initial behavior condition comprises a plurality of dimension conditions, the plurality of dimension conditions have an and/or relationship therebetween; when the subsequent behavior condition comprises a plurality of dimension conditions, the plurality of dimension conditions are and/or relationships.
In one embodiment of the present invention, the apparatus shown in fig. 3 further comprises:
a retention result saving unit adapted to receive a user retention result saving request through a front-end page; and according to the user retention result storage request, storing the user retention result which is displayed in the front-end page and accords with the second preset retention condition into a single image in a current data display form.
In one embodiment of the present invention, the apparatus shown in fig. 3 further comprises:
the retention comparison unit is suitable for receiving a user retention comparison analysis request meeting a second preset retention condition through the front-end page; requesting two or more specified sub-dimensions including the specified dimension; according to the user retention comparison analysis request, user retention result data corresponding to each designated sub-dimension of the designated dimension are respectively obtained from the obtained user retention result meeting the second preset retention condition; obtaining a user retention comparative analysis result between each appointed sub-dimension of the appointed dimension according to the acquired data corresponding to each appointed sub-dimension of the appointed dimension; and displaying the obtained user retention comparison analysis result on a front-end page in a specified data graph mode.
In one embodiment of the present invention, the apparatus shown in fig. 3 further comprises:
the retention comparison unit is further adapted to obtain user retention result data corresponding to the specified dimension from the obtained user retention result of the second preset retention condition according to the user retention comparison analysis request; obtaining a user retention result of the specified dimension according with a second preset retention condition according to the obtained user retention result data corresponding to the specified dimension; and overlapping and displaying the obtained user retention result meeting the second preset retention condition in the specified dimension in the specified data graph of the front-end page for displaying the user retention comparative analysis result.
It should be noted that, the embodiments of the apparatus shown in fig. 3 are the same as the embodiments of the method shown in fig. 1, and detailed descriptions thereof are already provided above and are not repeated herein.
In summary, according to the technical solution of the present invention, the data of the buried point corresponding to each buried point of the designated application is obtained and stored in the designated database; providing a front-end page; receiving a buried point selection instruction of a user about a specified application through a front-end page; and searching corresponding buried point data from the specified database according to the buried point selection instruction, and displaying the data through a front-end page. Therefore, according to the technical scheme, the full-buried points can be firstly carried out on the designated application according to the requirement, and the buried point data of all the buried points can be obtained. When the embedded point demands exist, corresponding embedded point data are directly obtained from the corresponding database, so that the user does not need to manually embed the point, the situation of mistaken embedded point is not easy to occur, the embedded point data can be obtained in real time, time and labor are saved, convenience is brought to the user, and the embedded point demands of the user are met.
It should be noted that:
the algorithms and displays presented herein are not inherently related to any particular computer, virtual machine, or other apparatus. Various general purpose devices may be used with the teachings herein. The required structure for constructing such a device will be apparent from the description above. Moreover, the present invention is not directed to any particular programming language. It is appreciated that a variety of programming languages may be used to implement the teachings of the present invention as described herein, and any descriptions of specific languages are provided above to disclose the best mode of the invention.
In the description provided herein, numerous specific details are set forth. It is understood, however, that embodiments of the invention may be practiced without these specific details. In some instances, well-known methods, structures and techniques have not been shown in detail in order not to obscure an understanding of this description.
Similarly, it should be appreciated that in the foregoing description of exemplary embodiments of the invention, various features of the invention are sometimes grouped together in a single embodiment, figure, or description thereof for the purpose of streamlining the disclosure and aiding in the understanding of one or more of the various inventive aspects. However, the disclosed method should not be interpreted as reflecting an intention that: that the invention as claimed requires more features than are expressly recited in each claim. Rather, as the following claims reflect, inventive aspects lie in less than all features of a single foregoing disclosed embodiment. Thus, the claims following the detailed description are hereby expressly incorporated into this detailed description, with each claim standing on its own as a separate embodiment of this invention.
Those skilled in the art will appreciate that the modules in the devices in an embodiment may be adaptively changed and arranged in one or more devices different from the embodiment. The modules or units or components in the embodiments may be combined into one module or unit or component, and furthermore, may be divided into a plurality of sub-modules or sub-units or sub-components. All of the features disclosed in this specification (including any accompanying claims, abstract and drawings), and all of the processes or elements of any method or apparatus so disclosed, may be combined in any combination, except combinations where at least some of such features and/or processes or elements are mutually exclusive. Each feature disclosed in this specification (including any accompanying claims, abstract and drawings) may be replaced by alternative features serving the same, equivalent or similar purpose, unless expressly stated otherwise.
Furthermore, those skilled in the art will appreciate that while some embodiments described herein include some features included in other embodiments, rather than other features, combinations of features of different embodiments are meant to be within the scope of the invention and form different embodiments. For example, in the following claims, any of the claimed embodiments may be used in any combination.
The various component embodiments of the invention may be implemented in hardware, or in software modules running on one or more processors, or in a combination thereof. Those skilled in the art will appreciate that a microprocessor or Digital Signal Processor (DSP) may be used in practice to implement some or all of the functions of some or all of the components of the apparatus, electronics, and computer-readable storage medium implementing data acquisition for an application according to embodiments of the present invention. The present invention may also be embodied as apparatus or device programs (e.g., computer programs and computer program products) for performing a portion or all of the methods described herein. Such programs implementing the present invention may be stored on computer-readable media or may be in the form of one or more signals. Such a signal may be downloaded from an internet website or provided on a carrier signal or in any other form.
For example, fig. 4 shows a schematic structural diagram of an electronic device according to an embodiment of the invention. The electronic device 400 conventionally includes a processor 410 and a memory 420 arranged to store computer-executable instructions (program code). The memory 420 may be an electronic memory such as a flash memory, an EEPROM (electrically erasable programmable read only memory), an EPROM, a hard disk, or a ROM. The memory 420 has a memory space 430 that stores program code 440 for performing any of the method steps shown in fig. 1 and in various embodiments. For example, the memory space 430 for the program code may include respective program codes 440 for implementing respective steps in the above method. The program code can be read from or written to one or more computer program products. These computer program products comprise a program code carrier such as a hard disk, a Compact Disc (CD), a memory card or a floppy disk. Such a computer program product is generally a computer-readable storage medium 500 such as described in fig. 5. The computer-readable storage medium 500 may have memory segments, memory spaces, etc. arranged similarly to the memory 420 in the electronic device of fig. 4. The program code may be compressed, for example, in a suitable form. In general, the memory unit stores program code 510 for performing the steps of the method according to the invention, i.e. program code readable by a processor such as 410, which when run by an electronic device causes the electronic device to perform the steps of the method described above.
It should be noted that the above-mentioned embodiments illustrate rather than limit the invention, and that those skilled in the art will be able to design alternative embodiments without departing from the scope of the appended claims. In the claims, any reference signs placed between parentheses shall not be construed as limiting the claim. The word "comprising" does not exclude the presence of elements or steps not listed in a claim. The word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements. The invention may be implemented by means of hardware comprising several distinct elements, and by means of a suitably programmed computer. In the unit claims enumerating several means, several of these means may be embodied by one and the same item of hardware. The usage of the words first, second and third, etcetera do not indicate any ordering. These words may be interpreted as names.
The invention discloses A1, a method for realizing data acquisition of an application, wherein the method is suitable for the specified application of a buried point, and comprises the following steps:
acquiring buried point data corresponding to each buried point of the specified application, and storing the data to a specified database;
Providing a front-end page;
receiving a buried point selection instruction of a user about the specified application through the front-end page;
and searching out corresponding buried point data from the specified database according to the buried point selection instruction, and displaying through the front-end page.
A2, the method as in a1, wherein the obtaining the buried point data corresponding to each buried point of the designated application comprises:
and acquiring the data of the buried points corresponding to the buried points of the designated application at regular time or according to a preset frequency.
A3, the method as in A1, wherein the receiving, by the front end page, a user's buried point selection instruction for the specified application comprises:
generating address information for performing buried point selection on a specified application, and displaying the address information on the front-end page;
and when the address information is monitored to be triggered, displaying a corresponding page for performing embedded point selection on the specified application to a user, and receiving an embedded point selection instruction of the specified application from the user through the page.
A4 the method of A3, wherein,
the address information is address information of a page of a buried point information list including buried points in the specified application;
The step of displaying a corresponding page for selecting the embedded point of the specified application to the user comprises the following steps: and displaying a page comprising a buried point information list of the buried points in the specified application to a user.
A5, the method according to claim 3, wherein the address information is a two-dimensional code or a website link corresponding to the specified application;
the displaying a page for performing embedded point selection on a specified application to a user, and the receiving, through the page, a user's embedded point selection instruction about the specified application includes:
jumping to the corresponding specified application, and receiving a buried point selection instruction of a user about the specified application through the specified application.
A6, the method as in a5, wherein when the address information is a two-dimensional code corresponding to the specified application and it is monitored that the two-dimensional code is scanned by a terminal device, before the jump is made to the corresponding specified application, the method further includes:
judging whether the specified application is installed on the terminal equipment or not according to the two-dimension code; if yes, controlling the terminal equipment to jump to the specified application; if not, prompting without the specified application is carried out.
A7, the method as in a5, wherein when the address information is a website link and it is monitored that the specified information is clicked, the jumping to the specified application comprises:
and opening a new page in the browser, and loading the webpage corresponding to the address information in the new page according to the address information.
A8, the method as in A5, wherein the receiving, by the specified application, a user's buried point selection instruction about the specified application comprises:
loading a covering layer on the page of the specified application, wherein the covering layer comprises a draggable selection identifier;
monitoring the dragging action of the selection identifier of the covering layer, when the selection identifier stops being dragged, determining the corresponding element information of the designated application according to the position of the selection identifier in the display interface when the selection identifier stops being dragged, and obtaining the embedded point of the designated application selected by the user according to the determined element information.
A9, the method as in A8, wherein the obtaining the user-selected burial point about the designated application according to the determined element information further includes obtaining user-selected description information about the burial point about the designated application, and specifically includes:
And acquiring the screenshot of the determined element, receiving the input of the name corresponding to the screenshot through the specified application, and taking the acquired screenshot and the received name as the description information of the selected buried point.
A10, the method according to a1, wherein the method further comprises:
acquiring the service data of the appointed application, and storing the acquired service data to an appointed database;
receiving a data analysis request aiming at one or more specified indexes meeting a first preset condition through the front-end page;
acquiring service data meeting a first preset condition from the specified database according to the data analysis request, and acquiring analysis results of one or more specified indexes according to the acquired service data meeting the first preset condition;
and displaying the obtained analysis result of the one or more specified indexes on the front-end page.
A11 the method of A10, wherein,
the business data stored in the designated database is correspondingly stored according to the dimension; each dimension comprises one or more sub-dimensions;
the providing the front end page comprises: displaying a dimension list at a specified position in the front-end page;
The first preset condition includes: business data filtering criteria for one or more of the sub-dimensions;
the acquiring, according to the data analysis request, the service data meeting a first preset condition from the specified database includes: and acquiring the service data corresponding to the corresponding one or more sub-dimensions from the specified database according to the first preset condition.
A12, the method according to A11, wherein,
the receiving, by the front-end page, a data analysis request for one or more specified indicators meeting a first preset condition includes:
monitoring a dragging operation of the front-end page to one dimension in the dimension list,
when the dimension is dragged to a first designated position of the front-end page, displaying a sub-dimension list of the dimension at the first designated position, receiving a selection of one or more sub-dimensions of the dimension by a user through the front-end page, and taking the selected one or more sub-dimensions of the dimension as business data filtering conditions.
A13, the method of a11, wherein the filtration conditions are any one of the following:
equal to the condition;
comprising the condition;
the conditions were excluded.
A14, the method according to a11, wherein the data analysis request further comprises: a grouping presentation condition with respect to one or more dimensions;
the displaying the obtained analysis result of the one or more specified indexes on the front-end page comprises:
and grouping the obtained analysis results of the one or more specified indexes according to the grouping display conditions of the one or more dimensions and displaying the analysis results in the front-end page according to the sub-dimensions corresponding to the one or more dimensions.
A15, the method as in a11, wherein the grouped presentation conditions for one or more dimensions are determined by:
monitoring a dragging operation of the front-end page to one dimension in the dimension list,
and when the dimension is dragged to a second designated position of the front page, determining the dimension as a grouping condition of a second dimension.
A16, the method as in A10, wherein the presenting the obtained analysis result of the one or more specified indicators in the front page comprises:
and displaying the obtained analysis result of the one or more specified indexes on the front-end page in a specified data graph mode.
A17, the method as in A16, wherein the designated data graph form comprises:
a data table form;
or, in the form of a data bar graph;
alternatively, the data is in the form of a graph.
A18, the method of a10, wherein the method further comprises:
receiving a storage request of an analysis result through the front-end page;
and storing the analysis results of the one or more specified indexes displayed in the front-end page according to the storage request of the analysis results.
A19, the method of A18, wherein the save request of the analysis result is a save request of a single graph;
the storing, according to the storage request for the analysis result, the analysis result of the one or more specified indexes displayed in the front-end page includes:
storing the analysis result of the one or more specified indexes displayed in the front-end page as a single graph in a current data display form according to the single graph storage request, wherein the stored single graph also comprises the description information of the single graph; the description information includes: the name corresponding to the single graph, the corresponding first preset condition and one or more specified indexes.
A20, the method of a19, wherein the method further comprises:
When the service data in the designated database is updated, according to a first preset condition in the description information of the single graph, using the corresponding service data updated by the designated database to obtain an updated analysis result matched with the single graph, and using the updated analysis result to update the stored analysis result in the single graph.
A21, the method of a19, wherein the method further comprises:
when a data query request of a specified time period of the stored analysis result in the single graph is received through the front-end page, acquiring corresponding service data of the specified time period from the specified database according to a first preset condition in the description information corresponding to the single graph;
obtaining an analysis result of the appointed time period matched with the stored single graph according to the acquired corresponding service data of the appointed time period;
and updating the stored analysis result in the single graph by using the obtained analysis result of the specified time period.
A22, the method of a19, wherein the method further comprises:
receiving a request for a data overview through the front-end page;
and displaying the one or more stored appointed single graphs on the front-end page according to a preset display mode.
A23, the method of a22, wherein the method further comprises:
receiving, by the front-end page, an editing operation on the one or more specified single graphs that are presented;
and editing the displayed one or more appointed single pictures according to the editing operation, and updating the preset display mode by using the display mode of the edited one or more appointed single pictures.
A24, the method of A23, wherein the editing operations include one or more of:
deleting one or more specified single graphs currently displayed;
adding one or more designated single graphs;
changing the size of one or more specified single graphs that are exposed;
and changing the display position of one or more specified single graphs displayed.
A25, the method of A18, wherein the request for saving the analysis result is a request for saving the index;
the storing, according to the request for storing an analysis result, the analysis result of the one or more specified indexes displayed in the front-end page includes:
and according to the index storage request, storing one of the one or more specified indexes corresponding to the analysis result in the front-end page as a user-defined index.
A26, the method as A25 recites, wherein the stored custom metrics further include description information of the custom metrics;
the description information includes: and receiving the name of the self-defined index and a first preset condition corresponding to the analysis result through the front-end page.
A27, the method of a25, wherein the method further comprises:
receiving, by the front-end page, a request to add an index;
displaying the stored user-defined index in a window of the front-end page to which the index is to be added according to the index adding request;
and receiving a selection instruction of the user-defined index through the front-end page, determining the selected user-defined index as the index needing to be added, and displaying the determined index needing to be added in the front-end page.
A28, the method of a18, wherein the method further comprises:
receiving a sharing instruction of the stored analysis result through the front-end page;
according to the sharing instruction, sharing the stored analysis result to a specified user;
and when the login of the specified user is monitored, displaying the stored analysis result in a front-end page of the specified user.
A29, the method of a10, wherein the method further comprises:
Receiving a request for creating a composite index through the front-end page, wherein the request for creating the composite index comprises the name of the composite index to be created, two or more corresponding specified indexes and the operation relation of the two or more specified indexes;
according to the request for creating the composite index, correspondingly storing the name of the composite index to be created, the corresponding two or more designated indexes and the operation relationship of the two or more designated indexes as a composite index;
and displaying the stored composite index on the front-end page.
A30, the method of a29, wherein the method further comprises:
receiving a data analysis request for the stored composite index through the front-end page;
acquiring service data for obtaining two or more specified indexes in the composite indexes from the specified database according to the data analysis request of the composite indexes;
obtaining the two or more pieces of specified index data according to the obtained service data;
calculating the data of the two or more specified indexes according to the stored operational relationship of the two or more specified indexes of the composite index to obtain an analysis result corresponding to the composite index;
And displaying the analysis result corresponding to the obtained composite index on the front-end page.
A31, the method according to a10, wherein the method further comprises:
correspondingly storing the service data which are acquired from the specified database and accord with the first preset condition and the analysis result of the corresponding one or more specified indexes into a cache;
and when the service data in the appointed database is updated, updating the service data meeting the first preset condition in the cache, and obtaining and storing the updated analysis result of one or more appointed indexes according to the updated service data meeting the first preset condition.
A32, the method according to a31, wherein the method further comprises:
when the data analysis request aiming at one or more specified indexes meeting the first preset condition is received again through the front-end page, obtaining the corresponding updated analysis result of the one or more specified indexes from the cache, and displaying the analysis result in the front-end page.
A33, the method according to a10, wherein the method further comprises:
receiving a user retention analysis request meeting a second preset retention condition through the front-end page;
Acquiring corresponding service data from the designated database according to the second preset retention condition, and acquiring a user retention result meeting the second preset retention condition according to the acquired service data;
and displaying the obtained user retention result meeting the second preset retention condition on the front-end page in a specified data graph mode.
A34, the method as in A33, wherein the designated data graph form comprises:
a data graph form and/or a data table form.
A35, the method of a33, wherein the second preset retention condition comprises an initial behavioral condition and a subsequent behavioral condition.
A36 the method of A35, wherein,
the acquiring of the corresponding service data from the designated database according to the second preset retention condition includes: acquiring the service data meeting the initial behavior condition from the specified database, and acquiring the service data meeting the subsequent behavior condition from the specified database;
the obtaining of the user retention result meeting the second preset retention condition according to the obtained service data includes: determining a corresponding first user information set according to the acquired service data meeting the initial behavior condition; determining a corresponding second user information set according to the acquired service data meeting the subsequent behavior conditions; obtaining an intersection of the first user information set and the second user information set to obtain a third user information set; and taking the ratio of the number of the users in the third user information set to the number of the users in the first user information set as a user retention result meeting a second preset retention condition.
A37 the method of A35, wherein,
the initial behavioral conditions further include one or more dimensional conditions; and/or the subsequent behavior condition further comprises one or more dimension conditions.
A38 the method of A37, wherein,
when the initial behavior condition comprises a plurality of dimension conditions, the plurality of dimension conditions are and/or relationships;
when the subsequent behavior condition comprises a plurality of dimension conditions, the dimension conditions are and/or relationships.
A39, the method of a33, wherein the method further comprises:
receiving a result saving request saved by a user through the front-end page;
and according to the user retention result saving request, saving the user retention result which is displayed in the front-end page and accords with the second preset retention condition into a single image in a current data display form.
A40, the method of a33, wherein the method further comprises:
receiving the user retention comparison analysis request meeting a second preset retention condition through the front-end page; the request includes two or more specified sub-dimensions of the specified dimensions;
according to the user retention comparison analysis request, user retention result data corresponding to each designated sub-dimension of the designated dimension are respectively obtained from the obtained user retention result meeting a second preset retention condition;
Obtaining a user retention comparative analysis result between each appointed sub-dimension of the appointed dimension according to the obtained data corresponding to each appointed sub-dimension of the appointed dimension;
and displaying the obtained user retention comparison analysis result on the front-end page in a specified data graph mode.
A41, the method of a40, wherein the method further comprises:
according to the user retention comparison analysis request, obtaining user retention result data corresponding to the specified dimension from the obtained user retention result of the second preset retention condition;
obtaining a user retention result of the specified dimension according with a second preset retention condition according to the obtained user retention result data corresponding to the specified dimension;
and overlapping and displaying the obtained user retention result meeting the second preset retention condition in the specified data graph of the front-end page, wherein the specified data graph is used for displaying the user retention comparative analysis result.
The invention also discloses B42, a device for realizing the data acquisition of the application, wherein the device is suitable for the specified application of the buried point, and the device comprises:
the buried point data acquisition unit is suitable for acquiring buried point data corresponding to each buried point of the specified application and storing the buried point data to a specified database;
A providing unit adapted to provide a front-end page;
a buried point instruction receiving unit, which is suitable for receiving a buried point selection instruction of a user about the specified application through the front end page;
and the buried point data display unit is suitable for searching corresponding buried point data from the specified database according to the buried point selection instruction and displaying the data through the front-end page.
B43, the device according to B42, wherein,
the buried point data acquisition unit is suitable for acquiring the buried point data corresponding to each buried point of the specified application at regular time or according to a preset frequency.
B44, the device of B42, wherein,
the embedded point instruction receiving unit is suitable for generating address information for selecting embedded points of a specified application and displaying the address information on the front-end page; and when the address information is monitored to be triggered, displaying a corresponding page for performing embedded point selection on the specified application to a user, and receiving an embedded point selection instruction of the specified application from the user through the page.
B45, the device of B44, wherein,
the address information is address information of a page of a buried point information list including buried points in the specified application;
And the buried point instruction receiving unit is suitable for displaying a page comprising a buried point information list of the buried points in the specified application to a user.
B46, the device according to B44, wherein the address information is a two-dimensional code or a website link corresponding to the specified application;
the buried point instruction receiving unit is suitable for jumping to the corresponding specified application and receiving a buried point selection instruction of a user about the specified application through the specified application.
The apparatus of B47, as in B46, wherein when the address information is the two-dimensional code corresponding to the specified application and the pointing instruction receiving unit monitors that the two-dimensional code is scanned by a terminal device, the apparatus further includes:
the judging unit is suitable for judging whether the specified application is installed on the terminal equipment or not according to the two-dimensional code before the embedded point instruction receiving unit executes the step of jumping to the corresponding specified application; if the terminal equipment is judged to be the specified application, informing the embedded point instruction receiving end element to execute a step of controlling the terminal equipment to jump to the specified application; if not, prompting without the specified application is carried out.
The apparatus according to B48, as in B46, wherein when the address information is a website link and the embedded point instruction receiving unit detects that the designated information is clicked, the embedded point instruction receiving unit is adapted to open a new page in the browser, and load a web page corresponding to the address information in the new page according to the address information.
B49, the device according to B46, wherein,
the embedded point instruction receiving unit is suitable for loading a covering layer on the page of the specified application, and the covering layer comprises a draggable selection identifier; monitoring the dragging action of the selection identifier of the covering layer, when the selection identifier stops being dragged, determining the corresponding element information of the designated application according to the position of the selection identifier in the display interface when the selection identifier stops being dragged, and obtaining the embedded point of the designated application selected by the user according to the determined element information.
The apparatus according to B50 or B49, wherein the burial point instruction receiving unit is further adapted to obtain description information about the burial point of the specified application selected by the user, and specifically includes:
and acquiring the screenshot of the determined element, receiving the input of the name corresponding to the screenshot through the specified application, and taking the acquired screenshot and the received name as the description information of the selected buried point.
B51, the apparatus of B42, wherein the apparatus further comprises:
the service data acquisition unit is suitable for acquiring the service data of the specified application and storing the acquired service data to a specified database;
The data analysis request receiving unit is suitable for receiving a data analysis request aiming at one or more specified indexes meeting a first preset condition through the front-end page;
the analysis result acquisition unit is suitable for acquiring the service data meeting the first preset condition from the specified database according to the data analysis request and acquiring the analysis results of the one or more specified indexes according to the acquired service data meeting the first preset condition;
and the analysis result display unit is suitable for displaying the obtained analysis result of the one or more specified indexes on the front-end page.
B52, the device of B51, wherein,
the business data stored in the designated database is correspondingly stored according to the dimension; each dimension comprises one or more sub-dimensions;
the providing unit is further suitable for displaying a dimension list at a specified position in the front-end page;
the first preset condition includes: business data filtering criteria for one or more of the sub-dimensions;
and the analysis result acquisition unit is suitable for acquiring the service data corresponding to the corresponding one or more sub-dimensions from the specified database according to the first preset condition.
B53, the device of B52, wherein,
the data analysis request receiving unit is suitable for monitoring the dragging operation of the front-end page on one dimension in the dimension list, when the dimension is dragged to a first specified position of the front-end page, displaying the sub-dimension list of the dimension at the first specified position, receiving the selection of one or more sub-dimensions of the dimension by a user through the front-end page, and taking the selected one or more sub-dimensions of the dimension as business data filtering conditions.
B54, the device of B52, wherein the filtration condition is any one of the following:
equal to the condition;
comprising the condition;
the conditions were excluded.
B55, the apparatus of B52, wherein the data analysis request further comprises: grouping presentation conditions with respect to one or more dimensions;
the analysis result display unit is adapted to group the obtained analysis results of the one or more specified indexes according to the grouping display conditions related to the one or more dimensions and display the analysis results in the front-end page according to the sub-dimensions corresponding to the one or more dimensions.
B56 the apparatus according to B52, wherein the data analysis request receiving unit is adapted to determine the grouping presentation condition for one or more dimensions in the data analysis request by:
Monitoring a dragging operation of the front-end page to one dimension in the dimension list,
and when the dimension is dragged to a second designated position of the front page, determining the dimension as a grouping condition of a second dimension.
B57, the device according to B52, wherein,
the analysis result display unit is suitable for displaying the obtained analysis result of the one or more specified indexes on the front-end page in a specified data graph form.
B58, the apparatus as in B57, wherein the designated data graph form comprises:
a data table form;
or, in the form of a data bar graph;
alternatively, the data is in the form of a graph.
B59, the apparatus of B51, wherein the apparatus further comprises:
a save request receiving unit adapted to receive a save request of an analysis result through the front-end page;
and the result storage unit is suitable for storing the analysis results of the one or more specified indexes displayed in the front-end page according to the storage request of the analysis results.
B60, the apparatus according to B59, wherein the storage request of the analysis result is a storage request of a single graph;
the result storage unit is suitable for storing the analysis result of the one or more specified indexes displayed in the front-end page as a single graph in a current data display form according to the storage request of the single graph, wherein the stored single graph also comprises the description information of the single graph; the description information includes: the name corresponding to the single graph, the corresponding first preset condition and one or more specified indexes.
B61, the apparatus of B60, wherein the apparatus further comprises:
and the single-chart updating unit is suitable for obtaining an updated analysis result matched with the single chart by using the corresponding updated service data of the specified database according to a first preset condition in the description information of the single chart when the service data in the specified database is updated, and updating the stored analysis result in the single chart by using the updated analysis result.
B62, the apparatus of B60, wherein the apparatus further comprises:
the data query unit is suitable for acquiring corresponding service data of a specified time period from the specified database according to a first preset condition in the description information corresponding to the single graph when a data query request of the specified time period of the stored analysis result in the single graph is received through the front-end page; obtaining an analysis result of the appointed time period matched with the stored single graph according to the acquired corresponding service data of the appointed time period; and updating the stored analysis result in the single graph by using the obtained analysis result of the specified time period.
B63, the apparatus of B60, wherein the apparatus further comprises:
A data overview unit adapted to receive a request for a data overview through the front-end page; and displaying the one or more stored appointed single graphs on the front-end page according to a preset display mode.
B64, the apparatus of B62, wherein the apparatus further comprises:
the single-diagram editing unit is suitable for receiving an editing operation on one or more displayed specified single diagrams through the front-end page; and editing the displayed one or more appointed single pictures according to the editing operation, and updating the preset display mode by using the display mode of the edited one or more appointed single pictures.
B65, the apparatus as in B64, wherein the editing operations include one or more of:
deleting one or more specified single graphs currently displayed;
adding one or more designated single graphs;
changing the size of one or more specified single graphs that are exposed;
and changing the display position of one or more specified single graphs displayed.
B66, the apparatus as in B59, wherein the request for saving the analysis result is a request for saving the index;
and the result storage unit is suitable for storing one of the one or more specified indexes corresponding to the analysis result in the front-end page as a user-defined index according to the index storage request.
B67, the device as B66, wherein the stored self-defined index also includes the description information of the self-defined index;
the description information includes: and receiving the name of the self-defined index and a first preset condition corresponding to the analysis result through the front-end page.
B68, the apparatus of B66, wherein the apparatus further comprises:
an adding unit adapted to receive a request for adding an index through the front-end page; according to the request for adding the indexes, displaying the stored self-defined indexes in a window of the front-end page to which the indexes are to be added; and receiving a selection instruction of the user-defined index through the front-end page, determining the selected user-defined index as the index needing to be added, and displaying the determined index needing to be added in the front-end page.
B69, the apparatus of B59, wherein the apparatus further comprises:
the sharing unit is suitable for receiving a sharing instruction of the stored analysis result through the front-end page; according to the sharing instruction, sharing the stored analysis result to a specified user; and when the login of the specified user is monitored, displaying the stored analysis result in a front-end page of the specified user.
B70, the apparatus of B51, wherein the apparatus further comprises:
the composite index creating unit is suitable for receiving a request for creating a composite index through the front-end page, wherein the request for creating the composite index comprises the name of the composite index to be created, two or more corresponding specified indexes and the operation relation of the two or more specified indexes; according to the request for creating the composite index, correspondingly storing the name of the composite index to be created, the corresponding two or more designated indexes and the operation relationship of the two or more designated indexes as a composite index; and displaying the stored composite index on the front-end page.
B71, the apparatus of B70, wherein the apparatus further comprises:
a composite index analysis unit adapted to receive a data analysis request for the saved composite index through the front-end page; acquiring service data for obtaining two or more specified indexes in the composite indexes from the specified database according to the data analysis request of the composite indexes; obtaining the two or more pieces of specified index data according to the obtained service data; calculating the data of the two or more specified indexes according to the stored operational relationship of the two or more specified indexes of the composite index to obtain an analysis result corresponding to the composite index; and displaying the analysis result corresponding to the obtained composite index on the front-end page.
B72, the apparatus of B51, wherein the apparatus further comprises:
the cache unit is suitable for correspondingly storing the service data which are acquired from the specified database and meet the first preset condition and the analysis result of the corresponding one or more specified indexes into a cache;
and the cache updating unit is suitable for updating the business data meeting the first preset condition in the cache when the business data in the specified database is updated, and obtaining and storing the updated analysis result of one or more specified indexes according to the updated business data meeting the first preset condition.
B73, the device of B72, wherein,
the analysis result obtaining unit is further adapted to obtain, when the data analysis request for the one or more specified indicators meeting the first preset condition is received again through the front-end page, the corresponding updated analysis result of the one or more specified indicators from the cache, and display the analysis result in the front-end page.
B74, the apparatus of B51, wherein the apparatus further comprises:
a retention analysis request receiving unit, adapted to receive a user retention analysis request meeting a second preset retention condition through the front-end page;
The retention result acquisition unit is suitable for acquiring corresponding service data from the specified database according to the second preset retention condition and acquiring a user retention result meeting the second preset retention condition according to the acquired service data;
and the retention result display unit is suitable for displaying the obtained user retention result meeting the second preset retention condition on the front-end page in a specified data graph mode.
B75, the apparatus as in B74, wherein the designated data graph form comprises:
a data graph form and/or a data table form.
B76, the apparatus of B74, wherein the second preset retention condition comprises an initial behavior condition and a subsequent behavior condition.
B77, the device of B76, wherein,
the retention result acquisition unit is suitable for acquiring the service data meeting the initial behavior condition from the specified database and acquiring the service data meeting the subsequent behavior condition from the specified database; determining a corresponding first user information set according to the acquired service data meeting the initial behavior condition; determining a corresponding second user information set according to the acquired service data meeting the subsequent behavior conditions; obtaining an intersection of the first user information set and the second user information set to obtain a third user information set; and taking the ratio of the number of the users in the third user information set to the number of the users in the first user information set as a user retention result meeting a second preset retention condition.
B78, the device of B76, wherein,
the initial behavioral conditions further include one or more dimensional conditions; and/or the subsequent behavior condition further comprises one or more dimension conditions.
B79, the device according to B78, wherein,
when the initial behavior condition comprises a plurality of dimension conditions, the plurality of dimension conditions are and/or relationships;
when the subsequent behavior condition comprises a plurality of dimension conditions, the dimension conditions are and/or relationships.
B80, the device according to B74, wherein the device further comprises:
a retention result saving unit adapted to receive a user retention result saving request through the front-end page; and according to the user retention result saving request, saving the user retention result which is displayed in the front-end page and accords with the second preset retention condition into a single image in a current data display form.
B81, the apparatus of B74, wherein the apparatus further comprises:
the retention comparison unit is suitable for receiving the user retention comparison analysis request meeting the second preset retention condition through the front-end page; the request includes two or more specified sub-dimensions of the specified dimensions; according to the user retention comparison analysis request, respectively acquiring user retention result data corresponding to each designated sub-dimension of the designated dimension from the obtained user retention result meeting a second preset retention condition; obtaining user retention comparative analysis results among the designated sub-dimensions of the designated dimensions according to the obtained data corresponding to the designated sub-dimensions of the designated dimensions respectively; and displaying the obtained user retention comparison analysis result on the front-end page in a specified data graph mode.
B82, the apparatus of B81, wherein the apparatus further comprises:
the retention comparison unit is further adapted to obtain user retention result data corresponding to the specified dimension from the obtained user retention result of the second preset retention condition according to the user retention comparison analysis request; obtaining a user retention result of the specified dimension according with a second preset retention condition according to the obtained user retention result data corresponding to the specified dimension; and overlapping and displaying the obtained user retention result meeting the second preset retention condition in the specified data graph of the front-end page, wherein the specified data graph is used for displaying the user retention comparative analysis result.
The invention also discloses C83 and electronic equipment, wherein the electronic equipment comprises:
a processor; and a memory arranged to store computer executable instructions that, when executed, cause the processor to perform a method according to any one of a1 to a 41.
The invention also discloses D84, a computer readable storage medium, wherein the computer readable storage medium stores one or more programs which, when executed by a processor, implement the method of any one of A1-A41.

Claims (84)

1. A method for implementing data collection of an application, wherein the method is adapted to a specific application of a buried point, the method comprising:
acquiring buried point data corresponding to each buried point of the specified application, and storing the data to a specified database; wherein the specified application has performed a full burial of points;
providing a front-end page;
receiving a buried point selection instruction of a user about the specified application through the front-end page;
and searching corresponding buried point data from the specified database according to the buried point selection instruction, and displaying the data through the front-end page.
2. The method of claim 1, wherein the obtaining burial point data corresponding to each burial point of the designated application comprises:
and acquiring the data of the buried points corresponding to the buried points of the designated application at regular time or according to a preset frequency.
3. The method of claim 1, wherein said receiving, by the front-end page, a user's buried point selection instruction for the specified application comprises:
generating address information for performing buried point selection on a specified application, and displaying the address information on the front-end page;
and when the address information is monitored to be triggered, displaying a corresponding page for performing embedded point selection on the specified application to a user, and receiving an embedded point selection instruction of the specified application from the user through the page.
4. The method of claim 3, wherein,
the address information is address information of a page of a buried point information list including buried points in the specified application;
the step of displaying a corresponding page for selecting the embedded point of the specified application to the user comprises the following steps: and displaying a page comprising a buried point information list of the buried points in the specified application to a user.
5. The method of claim 3, wherein the address information is a two-dimensional code or a web address link corresponding to the specified application;
the displaying a page for performing embedded point selection on a specified application to a user, and the receiving, through the page, a user's embedded point selection instruction about the specified application includes:
and jumping to a corresponding specified application, and receiving a buried point selection instruction of a user about the specified application through the corresponding specified application.
6. The method of claim 5, wherein when the address information is a two-dimensional code corresponding to the specified application and it is monitored that the two-dimensional code is scanned by a terminal device, before the jump to the corresponding specified application, the method further comprises:
judging whether the specified application is installed on the terminal equipment or not according to the two-dimension code; if the terminal equipment is judged to be the designated application, the terminal equipment is controlled to jump to the corresponding designated application; if not, prompting without the specified application is carried out.
7. The method of claim 5, wherein when the address information is a website link and it is monitored that the designated information is clicked, the jumping to the corresponding designated application comprises:
and opening a new page in the browser, and loading the webpage corresponding to the address information in the new page according to the address information.
8. The method of claim 5, wherein said receiving, by the specified application, a user's buried point selection instruction for the specified application comprises:
loading a covering layer on the page of the specified application, wherein the covering layer comprises a draggable selection identifier;
monitoring the dragging action of the selection identifier of the covering layer, when the selection identifier stops being dragged, determining the corresponding element information of the designated application according to the position of the selection identifier in the display interface when the selection identifier stops being dragged, and obtaining the embedded point of the designated application selected by the user according to the determined element information.
9. The method of claim 8, wherein said deriving a user-selected burial point about the specified application from the determined elemental information comprises:
and acquiring the screenshot of the determined element, receiving the input of the name corresponding to the screenshot through the appointed application, and taking the acquired screenshot and the received name as the description information of the selected buried point.
10. The method of claim 1, wherein the method further comprises:
acquiring the service data of the appointed application, and storing the acquired service data to an appointed database;
receiving a data analysis request aiming at one or more specified indexes meeting a first preset condition through the front-end page;
acquiring service data meeting a first preset condition from the specified database according to the data analysis request, and acquiring analysis results of one or more specified indexes according to the acquired service data meeting the first preset condition;
and displaying the obtained analysis result of the one or more specified indexes on the front-end page.
11. The method of claim 10, wherein,
the business data stored in the designated database is correspondingly stored according to the dimension; each dimension comprises one or more sub-dimensions;
the providing the front end page comprises: displaying a dimension list at a specified position in the front-end page;
the first preset condition includes: business data filtering criteria for one or more of the sub-dimensions;
the acquiring, according to the data analysis request, the service data meeting a first preset condition from the specified database includes: and acquiring the service data corresponding to the corresponding one or more sub-dimensions from the specified database according to the first preset condition.
12. The method of claim 11, wherein,
the receiving, by the front-end page, a data analysis request for one or more specified indicators meeting a first preset condition includes:
monitoring a dragging operation of the front-end page to one dimension in the dimension list,
when the dimension is dragged to a first designated position of the front-end page, displaying a sub-dimension list of the dimension at the first designated position, receiving a selection of one or more sub-dimensions of the dimension by a user through the front-end page, and taking the selected one or more sub-dimensions of the dimension as business data filtering conditions.
13. The method of claim 11, wherein the filtering condition is any one of the following conditions:
equal to the condition;
comprising the condition;
the conditions were excluded.
14. The method of claim 11, wherein the data analysis request further comprises: grouping presentation conditions with respect to one or more dimensions;
the displaying the obtained analysis result of the one or more specified indexes on the front-end page comprises:
and grouping the obtained analysis results of the one or more specified indexes according to the grouping display conditions of the one or more dimensions and displaying the analysis results in the front-end page according to the sub-dimensions corresponding to the one or more dimensions.
15. The method of claim 11, wherein the group presentation condition with respect to one or more dimensions is determined by:
monitoring a dragging operation of the front-end page to one dimension in the dimension list,
and when the dimension is dragged to a second designated position of the front page, determining the dimension as a grouping condition of a second dimension.
16. The method of claim 10, wherein the presenting the obtained analysis results of the one or more specified metrics on the front-end page comprises:
and displaying the obtained analysis result of the one or more specified indexes on the front-end page in a specified data graph mode.
17. The method of claim 16, wherein the specified data graph form comprises:
a data table form;
or, in the form of a data bar graph;
alternatively, the data is in the form of a graph.
18. The method of claim 10, wherein the method further comprises:
receiving a storage request of an analysis result through the front-end page;
and storing the analysis results of the one or more specified indexes displayed in the front-end page according to the storage request of the analysis results.
19. The method of claim 18, wherein the request for saving the analysis result is a request for saving a single graph;
the storing, according to the storage request for the analysis result, the analysis result of the one or more specified indexes displayed in the front-end page includes:
storing the analysis result of the one or more specified indexes displayed in the front-end page as a single graph in a current data display form according to the single graph storage request, wherein the stored single graph also comprises the description information of the single graph; the description information includes: the name corresponding to the single graph, the corresponding first preset condition and one or more specified indexes.
20. The method of claim 19, wherein the method further comprises:
when the service data in the designated database is updated, according to a first preset condition in the description information of the single graph, using the corresponding service data updated by the designated database to obtain an updated analysis result matched with the single graph, and using the updated analysis result to update the stored analysis result in the single graph.
21. The method of claim 19, wherein the method further comprises:
When a data query request of a specified time period of the stored analysis result in the single graph is received through the front-end page, acquiring corresponding service data of the specified time period from the specified database according to a first preset condition in the description information corresponding to the single graph;
obtaining an analysis result of the appointed time period matched with the stored single graph according to the acquired corresponding service data of the appointed time period;
and updating the stored analysis result in the single graph by using the obtained analysis result of the specified time period.
22. The method of claim 19, wherein the method further comprises:
receiving a request for a data overview through the front-end page;
and displaying the one or more stored appointed single graphs on the front-end page according to a preset display mode.
23. The method of claim 22, wherein the method further comprises:
receiving, by the front-end page, an editing operation on the one or more specified single graphs that are presented;
and editing the displayed one or more appointed single pictures according to the editing operation, and updating the preset display mode by using the display mode of the edited one or more appointed single pictures.
24. The method of claim 23, wherein the editing operation comprises one or more of:
deleting one or more specified single graphs currently displayed;
adding one or more designated single graphs;
changing the size of one or more specified single graphs that are exposed;
and changing the display position of one or more specified single graphs displayed.
25. The method of claim 18, wherein the request for saving the analysis result is a request for saving an index;
the storing, according to the storage request for the analysis result, the analysis result of the one or more specified indexes displayed in the front-end page includes:
and according to the index storage request, storing one of the one or more specified indexes corresponding to the analysis result in the front-end page as a user-defined index.
26. The method of claim 25, wherein the stored user-defined metric further includes description information of the user-defined metric;
the description information includes: and receiving the name of the self-defined index and a first preset condition corresponding to the analysis result through the front-end page.
27. The method of claim 25, wherein the method further comprises:
Receiving, by the front-end page, a request to add an index;
displaying the stored user-defined index in a window of the front-end page to which the index is to be added according to the index adding request;
and receiving a selection instruction of the user-defined index through the front-end page, determining the selected user-defined index as the index needing to be added, and displaying the determined index needing to be added in the front-end page.
28. The method of claim 18, wherein the method further comprises:
receiving a sharing instruction of the stored analysis result through the front-end page;
according to the sharing instruction, sharing the stored analysis result to a specified user;
and when the login of the specified user is monitored, displaying the stored analysis result in a front-end page of the specified user.
29. The method of claim 10, wherein the method further comprises:
receiving a request for creating a composite index through the front-end page, wherein the request for creating the composite index comprises the name of the composite index to be created, two or more corresponding specified indexes and the operation relation of the two or more specified indexes;
according to the request for creating the composite index, correspondingly storing the name of the composite index to be created, the corresponding two or more designated indexes and the operation relationship of the two or more designated indexes as a composite index;
And displaying the stored composite index on the front-end page.
30. The method of claim 29, wherein the method further comprises:
receiving a data analysis request for the stored composite index through the front-end page;
acquiring service data for obtaining two or more than two specified indexes in the composite indexes from the specified database according to the data analysis request of the composite indexes;
obtaining the two or more pieces of specified index data according to the obtained service data;
calculating the data of the two or more specified indexes according to the stored operational relationship of the two or more specified indexes of the composite index to obtain an analysis result corresponding to the composite index;
and displaying the analysis result corresponding to the obtained composite index on the front-end page.
31. The method of claim 10, wherein the method further comprises:
correspondingly storing the service data which are acquired from the specified database and meet the first preset condition and the analysis results of the corresponding one or more specified indexes into a cache;
and when the service data in the appointed database is updated, updating the service data meeting the first preset condition in the cache, and obtaining and storing the updated analysis result of one or more appointed indexes according to the updated service data meeting the first preset condition.
32. The method of claim 31, wherein the method further comprises:
when the data analysis request aiming at one or more specified indexes meeting the first preset condition is received again through the front-end page, obtaining the corresponding updated analysis result of the one or more specified indexes from the cache, and displaying the analysis result in the front-end page.
33. The method of claim 10, wherein the method further comprises:
receiving a user retention analysis request meeting a second preset retention condition through the front-end page;
acquiring corresponding service data from the designated database according to the second preset retention condition, and acquiring a user retention result meeting the second preset retention condition according to the acquired service data;
and displaying the obtained user retention result meeting the second preset retention condition on the front-end page in a specified data graph mode.
34. The method of claim 33, wherein the specified data graph form comprises:
a data graph form and/or a data table form.
35. The method of claim 33, wherein the second preset retention condition comprises an initial behavioral condition and a subsequent behavioral condition.
36. The method of claim 35, wherein,
the acquiring of the corresponding service data from the designated database according to the second preset retention condition includes: acquiring the service data meeting the initial behavior condition from the specified database, and acquiring the service data meeting the subsequent behavior condition from the specified database;
the obtaining of the user retention result meeting the second preset retention condition according to the obtained service data includes: determining a corresponding first user information set according to the acquired service data meeting the initial behavior condition; determining a corresponding second user information set according to the acquired service data meeting the subsequent behavior conditions; obtaining an intersection of the first user information set and the second user information set to obtain a third user information set; and taking the ratio of the number of the users in the third user information set to the number of the users in the first user information set as a user retention result meeting a second preset retention condition.
37. The method of claim 35, wherein,
the initial behavioral conditions further include one or more dimensional conditions; and/or the subsequent behavior condition further comprises one or more dimension conditions.
38. The method of claim 37, wherein,
when the initial behavior condition comprises a plurality of dimension conditions, the plurality of dimension conditions are and/or relationships;
when the subsequent behavior condition comprises a plurality of dimension conditions, the plurality of dimension conditions are and/or relationships.
39. The method of claim 33, wherein the method further comprises:
receiving a result saving request saved by a user through the front-end page;
and according to the user retention result saving request, saving the user retention result which is displayed in the front-end page and accords with the second preset retention condition into a single image in a current data display form.
40. The method of claim 33, wherein the method further comprises:
receiving the user retention comparison analysis request meeting a second preset retention condition through the front-end page; the request includes two or more specified sub-dimensions of the specified dimensions;
according to the user retention comparison analysis request, user retention result data corresponding to each designated sub-dimension of the designated dimension are respectively obtained from the obtained user retention result meeting a second preset retention condition;
Obtaining a user retention comparative analysis result between each appointed sub-dimension of the appointed dimension according to the obtained data corresponding to each appointed sub-dimension of the appointed dimension;
and displaying the obtained user retention comparison analysis result on the front-end page in a specified data graph mode.
41. The method of claim 40, wherein the method further comprises:
according to the user retention comparison analysis request, obtaining user retention result data corresponding to the specified dimension from the obtained user retention result of the second preset retention condition;
obtaining a user retention result of the specified dimension according with a second preset retention condition according to the obtained user retention result data corresponding to the specified dimension;
and overlapping and displaying the obtained user retention result meeting the second preset retention condition in the specified data graph of the front-end page, wherein the specified data graph is used for displaying the user retention comparative analysis result.
42. An apparatus for implementing data acquisition of an application, wherein the apparatus is suitable for a specified application of a buried point, the apparatus comprising:
the buried point data acquisition unit is suitable for acquiring buried point data corresponding to each buried point of the specified application and storing the buried point data to a specified database; wherein the specified application has been fully landed;
A providing unit adapted to provide a front-end page;
a buried point instruction receiving unit, which is suitable for receiving a buried point selection instruction of a user about the specified application through the front end page;
and the buried point data display unit is suitable for searching corresponding buried point data from the specified database according to the buried point selection instruction and displaying the data through the front-end page.
43. The apparatus of claim 42, wherein,
the buried point data acquisition unit is suitable for acquiring the buried point data corresponding to each buried point of the specified application at regular time or according to a preset frequency.
44. The apparatus of claim 42, wherein,
the embedded point instruction receiving unit is suitable for generating address information for selecting embedded points of a specified application and displaying the address information on the front-end page; and when the address information is monitored to be triggered, displaying a corresponding page for performing embedded point selection on the specified application to a user, and receiving an embedded point selection instruction of the specified application from the user through the page.
45. The apparatus of claim 44, wherein,
the address information is address information of a page of a buried point information list including buried points in the specified application;
And the buried point instruction receiving unit is suitable for displaying a page comprising a buried point information list of buried points in the specified application to a user.
46. The apparatus of claim 44, wherein the address information is a two-dimensional code or a web address link corresponding to the specified application;
the buried point instruction receiving unit is suitable for jumping to the corresponding specified application and receiving a buried point selection instruction of a user about the specified application through the specified application.
47. The apparatus of claim 46, wherein when the address information is a two-dimensional code corresponding to the specified application and the embedded point instruction receiving unit monitors that the two-dimensional code is scanned by a terminal device, the apparatus further comprises:
the judging unit is suitable for judging whether the specified application is installed on the terminal equipment or not according to the two-dimensional code before the embedded point instruction receiving unit executes the step of jumping to the corresponding specified application; if the terminal equipment is judged to be the specified application, informing the embedded point instruction receiving end element to execute a step of controlling the terminal equipment to jump to the specified application; if not, prompting without the specified application is carried out.
48. The apparatus according to claim 46, wherein when the address information is a website link and the embedded point instruction receiving unit detects that the specified information is clicked, the embedded point instruction receiving unit is adapted to open a new page in the browser, and load a webpage corresponding to the address information in the new page according to the address information.
49. The apparatus of claim 46, wherein,
the embedded point instruction receiving unit is suitable for loading a covering layer on the page of the specified application, and the covering layer comprises a draggable selection identifier; monitoring the dragging action of the selection identifier of the covering layer, when the selection identifier stops being dragged, determining the corresponding element information of the designated application according to the position of the selection identifier in the display interface when the selection identifier stops being dragged, and obtaining the embedded point of the designated application selected by the user according to the determined element information.
50. The apparatus of claim 49, wherein the burial point instruction receiving unit is further adapted to obtain description information about the burial point of the specified application selected by the user, and specifically comprises:
and acquiring the screenshot of the determined element, receiving the input of the name corresponding to the screenshot through the appointed application, and taking the acquired screenshot and the received name as the description information of the selected buried point.
51. The apparatus of claim 42, wherein the apparatus further comprises:
the service data acquisition unit is suitable for acquiring the service data of the specified application and storing the acquired service data to a specified database;
The data analysis request receiving unit is suitable for receiving a data analysis request aiming at one or more specified indexes meeting a first preset condition through the front-end page;
the analysis result acquisition unit is suitable for acquiring the service data meeting the first preset condition from the specified database according to the data analysis request and acquiring the analysis results of the one or more specified indexes according to the acquired service data meeting the first preset condition;
and the analysis result display unit is suitable for displaying the obtained analysis result of the one or more specified indexes on the front-end page.
52. The apparatus of claim 51, wherein,
the business data stored in the designated database is correspondingly stored according to the dimension; each dimension comprises one or more sub-dimensions;
the providing unit is further suitable for displaying a dimension list at a specified position in the front-end page;
the first preset condition includes: business data filtering criteria for one or more of the sub-dimensions;
and the analysis result acquisition unit is suitable for acquiring the service data corresponding to the corresponding one or more sub-dimensions from the specified database according to the first preset condition.
53. The apparatus of claim 52, wherein,
the data analysis request receiving unit is suitable for monitoring the dragging operation of the front-end page on one dimension in the dimension list, when the dimension is dragged to a first specified position of the front-end page, displaying the sub-dimension list of the dimension at the first specified position, receiving the selection of one or more sub-dimensions of the dimension by a user through the front-end page, and taking the selected one or more sub-dimensions of the dimension as business data filtering conditions.
54. The apparatus of claim 52, wherein the filtering condition is any one of:
equal to the condition;
comprising the condition;
the conditions were excluded.
55. The apparatus of claim 52, wherein the data analysis request further comprises: grouping presentation conditions with respect to one or more dimensions;
the analysis result display unit is adapted to group the obtained analysis results of the one or more specified indexes according to the grouping display conditions related to the one or more dimensions and display the analysis results in the front-end page according to the sub-dimensions corresponding to the one or more dimensions.
56. The apparatus of claim 52, wherein the data analysis request receiving unit is adapted to determine a grouping presentation condition for one or more dimensions in the data analysis request by:
Monitoring a dragging operation of the front-end page to one dimension in the dimension list,
and when the dimension is dragged to a second designated position of the front page, determining the dimension as a grouping condition of a second dimension.
57. The apparatus of claim 52, wherein,
the analysis result display unit is suitable for displaying the obtained analysis result of the one or more specified indexes on the front-end page in a specified data graph form.
58. The apparatus of claim 57, wherein the specified data pattern form comprises:
a data table form;
or, in the form of a data bar graph;
alternatively, the data is in the form of a graph.
59. The apparatus of claim 51, wherein the apparatus further comprises:
a save request receiving unit adapted to receive a save request of an analysis result through the front-end page;
and the result storage unit is suitable for storing the analysis results of the one or more specified indexes displayed in the front-end page according to the storage request of the analysis results.
60. The apparatus of claim 59, wherein the request to save the analysis result is a request to save a single graph;
the result storage unit is suitable for storing the analysis result of the one or more specified indexes displayed in the front-end page as a single graph in a current data display form according to the storage request of the single graph, wherein the stored single graph also comprises the description information of the single graph; the description information includes: the name corresponding to the single graph, the corresponding first preset condition and one or more specified indexes.
61. The apparatus of claim 60, wherein the apparatus further comprises:
and the single-chart updating unit is suitable for obtaining an updated analysis result matched with the single chart by using the corresponding updated service data of the specified database according to a first preset condition in the description information of the single chart when the service data in the specified database is updated, and updating the stored analysis result in the single chart by using the updated analysis result.
62. The apparatus of claim 60, wherein the apparatus further comprises:
the data query unit is suitable for acquiring corresponding service data of a specified time period from the specified database according to a first preset condition in the description information corresponding to the single graph when a data query request of the specified time period of the stored analysis result in the single graph is received through the front-end page; obtaining an analysis result of the appointed time period matched with the stored single graph according to the acquired corresponding service data of the appointed time period; and updating the stored analysis result in the single graph by using the obtained analysis result of the specified time period.
63. The apparatus of claim 60, wherein the apparatus further comprises:
A data overview unit adapted to receive a request for a data overview through the front-end page; and displaying the one or more stored appointed single graphs on the front-end page according to a preset display mode.
64. The apparatus of claim 63, wherein the apparatus further comprises:
the single-diagram editing unit is suitable for receiving an editing operation on one or more displayed specified single diagrams through the front-end page; and editing the displayed one or more appointed single pictures according to the editing operation, and updating the preset display mode by using the display mode of the edited one or more appointed single pictures.
65. The apparatus of claim 64, wherein the editing operations comprise one or more of:
deleting one or more specified single graphs currently displayed;
adding one or more designated sheets;
changing the size of one or more specified single graphs that are exposed;
and changing the display position of one or more specified single graphs displayed.
66. The apparatus of claim 59, wherein the request to save the analysis result is a request to save an index;
and the result storage unit is suitable for storing one of the one or more specified indexes corresponding to the analysis result in the front-end page as a user-defined index according to the index storage request.
67. The apparatus of claim 66, wherein the stored user-defined metric further includes descriptive information of the user-defined metric;
the description information includes: and receiving the name of the self-defined index and a first preset condition corresponding to the analysis result through the front-end page.
68. The apparatus of claim 66, further comprising:
an adding unit adapted to receive a request for adding an index through the front-end page; displaying the stored user-defined index in a window of the front-end page to which the index is to be added according to the index adding request; and receiving a selection instruction of the user-defined index through the front-end page, determining the selected user-defined index as the index needing to be added, and displaying the determined index needing to be added in the front-end page.
69. The apparatus of claim 59, wherein the apparatus further comprises:
the sharing unit is suitable for receiving a sharing instruction of the stored analysis result through the front-end page; according to the sharing instruction, sharing the stored analysis result to a specified user; and when the login of the specified user is monitored, displaying the stored analysis result in a front-end page of the specified user.
70. The apparatus of claim 51, wherein the apparatus further comprises:
the composite index creating unit is suitable for receiving a request for creating a composite index through the front-end page, wherein the request for creating the composite index comprises the name of the composite index to be created, two or more corresponding specified indexes and the operation relation of the two or more specified indexes; according to the request for creating the composite index, correspondingly storing the name of the composite index to be created, the corresponding two or more designated indexes and the operation relationship of the two or more designated indexes as a composite index; and displaying the stored composite index on the front-end page.
71. The apparatus of claim 70, wherein the apparatus further comprises:
a composite index analysis unit adapted to receive a data analysis request for the saved composite index through the front-end page; acquiring service data for obtaining two or more specified indexes in the composite indexes from the specified database according to the data analysis request of the composite indexes; obtaining the two or more pieces of specified index data according to the obtained service data; calculating the data of the two or more specified indexes according to the stored operational relationship of the two or more specified indexes of the composite index to obtain an analysis result corresponding to the composite index; and displaying the analysis result corresponding to the obtained composite index on the front-end page.
72. The apparatus of claim 51, wherein the apparatus further comprises:
the cache unit is suitable for correspondingly storing the service data which are acquired from the specified database and accord with the first preset condition and the analysis result of the corresponding one or more specified indexes into a cache;
and the cache updating unit is suitable for updating the business data meeting the first preset condition in the cache when the business data in the specified database is updated, and obtaining and storing the updated analysis result of one or more specified indexes according to the updated business data meeting the first preset condition.
73. The apparatus of claim 72, wherein,
the analysis result obtaining unit is further adapted to obtain, when the data analysis request for the one or more specified indicators meeting the first preset condition is received again through the front-end page, the corresponding updated analysis result of the one or more specified indicators from the cache, and display the analysis result in the front-end page.
74. The apparatus of claim 51, wherein the apparatus further comprises:
a retention analysis request receiving unit adapted to receive a user retention analysis request meeting a second preset retention condition through the front-end page;
The retention result acquisition unit is suitable for acquiring corresponding service data from the specified database according to the second preset retention condition and acquiring a user retention result meeting the second preset retention condition according to the acquired service data;
and the retention result display unit is suitable for displaying the obtained user retention result meeting the second preset retention condition on the front-end page in a specified data graph mode.
75. The apparatus of claim 74, wherein the specified dataform comprises:
a data graph form and/or a data table form.
76. The apparatus of claim 74, wherein the second preset retention condition comprises an initial behavioral condition and a subsequent behavioral condition.
77. The apparatus of claim 76, wherein,
the retention result acquisition unit is suitable for acquiring the service data meeting the initial behavior condition from the specified database and acquiring the service data meeting the subsequent behavior condition from the specified database; determining a corresponding first user information set according to the acquired service data meeting the initial behavior condition; determining a corresponding second user information set according to the acquired service data meeting the subsequent behavior conditions; obtaining an intersection of the first user information set and the second user information set to obtain a third user information set; and taking the ratio of the number of the users in the third user information set to the number of the users in the first user information set as a user retention result meeting a second preset retention condition.
78. The apparatus of claim 76, wherein,
the initial behavioral conditions further include one or more dimensional conditions; and/or the subsequent behavior condition further comprises one or more dimension conditions.
79. The apparatus of claim 78, wherein,
when the initial behavior condition comprises a plurality of dimension conditions, the plurality of dimension conditions are and/or relationships;
when the subsequent behavior condition comprises a plurality of dimension conditions, the dimension conditions are and/or relationships.
80. The apparatus of claim 74, wherein the apparatus further comprises:
a retention result saving unit adapted to receive a user retention result saving request through the front-end page; and according to the user retention result saving request, saving the user retention result which is displayed in the front-end page and accords with the second preset retention condition into a single image in a current data display form.
81. The apparatus of claim 74, wherein the apparatus further comprises:
the retention comparison unit is suitable for receiving the user retention comparison analysis request meeting the second preset retention condition through the front-end page; the request includes two or more specified sub-dimensions of the specified dimensions; according to the user retention comparison analysis request, user retention result data corresponding to each designated sub-dimension of the designated dimension are respectively obtained from the obtained user retention result meeting a second preset retention condition; obtaining a user retention comparative analysis result between each appointed sub-dimension of the appointed dimension according to the obtained data corresponding to each appointed sub-dimension of the appointed dimension; and displaying the obtained user retention comparison analysis result on the front-end page in a specified data graph mode.
82. The apparatus of claim 81, wherein the apparatus further comprises:
the retention comparison unit is further adapted to obtain user retention result data corresponding to the specified dimension from the obtained user retention result of the second preset retention condition according to the user retention comparison analysis request; obtaining a user retention result of the specified dimension according with a second preset retention condition according to the obtained user retention result data corresponding to the specified dimension; and overlapping and displaying the obtained user retention result meeting the second preset retention condition in the specified data graph of the front-end page, wherein the specified data graph is used for displaying the user retention comparative analysis result.
83. An electronic device, wherein the electronic device comprises:
a processor; and the number of the first and second groups,
a memory arranged to store computer executable instructions that, when executed, cause the processor to perform a method according to any one of claims 1 to 41.
84. A computer readable storage medium, wherein the computer readable storage medium stores one or more programs which, when executed by a processor, implement the method of any of claims 1-41.
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