CN114387043B - Flow channel analysis configuration method and system based on internet data analysis - Google Patents
Flow channel analysis configuration method and system based on internet data analysis Download PDFInfo
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Abstract
The invention discloses a flow channel analysis configuration method and a system thereof based on internet data analysis, which comprises the steps of obtaining product marketing data generated by a marketing end in a network and user access data generated by a user end; judging whether the acquired product marketing data and the user access data have data related to the product marketing data or not; if the user access data and the product marketing data are in accordance with the product marketing data, performing cluster analysis on the user access data and the product marketing data; the product marketing configuration data and the user configuration data are analyzed to obtain and display corresponding data results, and the client refers, looks over, collects and stores the corresponding data results by accessing the big data analysis configuration module.
Description
Technical Field
The invention relates to the technical field of big data analysis, in particular to a flow channel analysis configuration method and a flow channel analysis configuration system based on internet data analysis.
Background
With the rapid development of internet applications, the number of web application systems based on a cloud architecture is gradually increased, and meanwhile, a large number of web big data analysis is developed domestically, and data acquisition and subsequent analysis are performed on the basis of search engine marketing and search engine optimization for keyword monitoring and keyword management,
however, in the present stage, only one data of the marketing end or the user end is acquired and analyzed, the traditional data analysis has no pertinence to various products of the marketing end, access data generated by the corresponding user end is difficult to acquire and analyze conveniently, it is inconvenient to view corresponding data generated by the user end and the marketing end through a flow channel intuitively, comprehensively, completely and intelligently, the data has general data insights, flexibility and universality, and further it is inconvenient for monitoring and managing marketing products and managing station groups by merchants, and a flow channel analysis configuration method and a system based on internet data analysis are provided for the existing defects.
Disclosure of Invention
This section is for the purpose of summarizing some aspects of embodiments of the invention and to briefly introduce some preferred embodiments. In this section, as well as in the abstract and the title of the invention of this application, simplifications or omissions may be made to avoid obscuring the purpose of the section, the abstract and the title, and such simplifications or omissions are not intended to limit the scope of the invention.
The present invention has been made in view of the above-mentioned problems occurring in the conventional big data analysis.
Therefore, one of the objectives of the present invention is to provide a method and a system for analyzing and configuring a traffic channel based on internet data analysis, wherein the method and the system utilize the acquired product marketing data and user access data to sequentially perform judgment, classification, analysis, selection and import into a matched data block, and can obtain corresponding data intuitively, comprehensively, completely and intelligently through a data insights unit, an independent station management unit and a chart style display, thereby improving the data analysis effect and facilitating the monitoring and management of marketing products and the management of station groups by merchants.
In order to solve the technical problems, the invention provides the following technical scheme: the method specifically comprises the following steps:
s1, the big data acquisition module acquires product marketing data generated by a marketing end and user access data generated by a user end in the network;
s2, correspondingly transmitting the acquired product marketing data and the user access data to a big data analysis configuration module, and judging whether the user access data has data related to the product marketing data through a judging unit;
s3, when data related to the product marketing data exist, inputting the user access data and the product marketing data into an analysis unit for cluster analysis;
s4, analyzing the product marketing configuration data and the user configuration data in the analysis unit, and distributing the data to the corresponding independent station management unit and the data insight unit to obtain and display corresponding data results;
and S5, the client on the client mount side refers to, looks over, collects and stores the corresponding data result by accessing the big data analysis configuration module.
As a preferred scheme of the traffic channel analysis configuration method based on internet data analysis of the present invention, the method comprises: in step S1, the marketing end and the user end acquire corresponding product marketing data and user access data through the integrated marketing acquisition unit in the big data acquisition module, and the integrated marketing uses web data to acquire data generated on a preset website in real time, including search engine marketing and search engine optimization for keyword monitoring and keyword management.
As a preferable scheme of the traffic channel analysis configuration method based on internet data analysis of the present invention, wherein: the specific steps of collecting the product marketing data generated by the marketing end are as follows:
s101, inputting a resource object website;
s102, editing a search formula or keywords to enter search, or selecting universe collection;
s103, mapping corresponding data according to a configuration rule, and automatically identifying and expanding the data;
s104, setting a data time period and adjusting the page cycle setting;
s105, acquiring different source media, regions, most accesses, terminal distribution and flow, identifying data types, identifying data file formats and selecting a derivation path;
s106, the timed task configuration is completed by starting the timed task starting unit, and the timed starting, delayed starting or multi-time period cycle execution task is carried out;
the user access data collection generated by the user side specifically comprises behavior data or browsing behavior data sent by user side equipment, and different source media, regions, most accesses, terminal distribution and flow of the user side are obtained.
As a preferable scheme of the traffic channel analysis configuration method based on internet data analysis of the present invention, wherein: analyzing the storage format, standardizing the data and removing repeated data of the collected product marketing data and the user access data sequentially and gradually:
the configuration rule comprises a configuration acquisition range, a configuration acquisition rule, time setting, alias expansion and an object monitoring rule; the acquisition range comprises a source database, a network address and page elements, the configuration acquisition rule comprises an acquisition path, an acquisition picture, a video, an audio, a text type object, an acquisition field item and a data analysis mark, the time setting is the acquisition period setting, the alias extension comprises the existence of various direction descriptions of the object, the unified recording processing is carried out, and the object monitoring rule comprises the resource object positioning, the object classification and the monitoring updating.
As a preferred scheme of the traffic channel analysis configuration method based on internet data analysis of the present invention, wherein: the judging unit extracts information elements as judging behavior data for the user access data in the structured metadata surrounding the user side, judges the information elements with the multi-class product marketing data in the database, circularly and repeatedly verifies the judging result, derives the judging result conforming data and the corresponding product marketing data of the marketing end, and inputs the judging result conforming data and the corresponding product marketing data of the marketing end into the analyzing unit for cluster analysis;
the analysis unit is also used for analyzing the data types and the source characteristics of the product marketing data and the user access data, wherein the source characteristics comprise source addresses, data distribution, storage formats, data fields, updating mechanisms, information dimensions and data quality.
As a preferable scheme of the traffic channel analysis configuration method based on internet data analysis of the present invention, wherein: the analysis unit performs insight classification operation on the information data, including source medium, region distribution, maximum access, terminal distribution and flow channel classification on product marketing data generated by a marketing end and user access data generated by a user end;
meanwhile, the analysis unit configures the information data, configures the product marketing configuration data and the user configuration data to the mapped functional blocks, and specifically performs a product management function and a content management function on the product marketing data generated by the marketing end and the user access data generated by the user end.
As a preferable scheme of the traffic channel analysis configuration method based on internet data analysis of the present invention, wherein: the corresponding data results display obtained in step S4 includes a pie chart for a scale-to-scale display, a line chart for a trend display, a bar chart for a different number of displays, a list for a detailed information display, and map tiles for different regional user displays.
Flow channel analysis configuration system based on internet data analysis includes:
the big data acquisition module is used for acquiring product marketing data generated by a marketing end and user access data generated by a user end in a network, and comprises an integrated marketing acquisition unit, a big data acquisition unit and a big data acquisition unit, wherein the integrated marketing acquisition unit is used for acquiring data generated on a preset website in real time by utilizing web data, and the big data acquisition unit comprises search engine marketing and search engine optimization for keyword monitoring and keyword management;
the big data analysis and configuration module receives the data of the big data acquisition module, is used for analyzing and configuring the product marketing data and the user access data acquired by the big data acquisition module, and comprises a judgment unit, an analysis unit, a data insights unit, an independent station management unit and an information base;
the system comprises a judging unit, a processing unit and a processing unit, wherein the judging unit is used for judging whether the acquired user access data has corresponding product marketing data;
the analysis unit is used for analyzing the product marketing data of the product corresponding to the product end and the user access data of the user corresponding to the user end by using the corresponding behavior data to obtain corresponding product marketing configuration data and user configuration data when the judgment module judges that the behavior data corresponding to the product marketing data exists in the user access data;
the data insight unit is used for the insight classification of the information data of the big data acquisition module of the system and comprises a source medium function block, a region distribution function block, a maximum access function block, a terminal distribution function block and a flow channel function block;
the independent station management unit is used for configuring information data of the system, comprises a product management function block and a content management function block, and configures product marketing configuration data and user configuration data into the product management function block and the content management function block in the mapped independent station management module;
the information base is used for caching and storing the system information data; and
and the client mounting end is used for accessing the big data analysis configuration module by the client.
Further, the analysis unit analyzes product marketing configuration data and user configuration data, specifically comprises source medium analysis, regional analysis, maximum access analysis, terminal distribution analysis and flow channel analysis, and product management analysis, content management analysis, data presentation analysis and station group management analysis;
the independent station management unit is connected with the analysis unit and used for outputting the analyzed corresponding product marketing configuration data and user configuration data to the independent station management unit for classification management, wherein the independent station management unit comprises a data presentation block, a theme library selection block, a station group management block, a product management block and a content management block;
and the data insights unit is connected with the analysis unit and used for the analysis unit to output the analyzed corresponding product marketing configuration data and user configuration data to the data insights unit for classification management, wherein the data insights unit comprises a source medium block, a regional distribution block, a maximum access block, a terminal distribution block and a flow channel block.
Furthermore, the data presentation block is used for displaying a statistical chart of a single site, and comprises data of inquiry disks of the site, keywords, browsing volume, users, a jump rate, online time and activity, and the data presentation block adopts the situation of a dashboard to present;
the theme library selecting block is used for providing a theme template for a user;
the site group management block is used for managing the created sites and comprises a site query function block and an editing function block, wherein the site query function block is used for querying to quickly find the site which the site wants to operate under the condition that the sites are more;
the product management block is provided with product screening, product adding and product adding classification and is used for managing products in sites in authority, wherein the product management block is used for editing selected products, setting keyword monitoring and keyword management search engine optimization, deletion, putting on shelf or putting off shelf;
the content management block comprises news management and FAQ management, and the news management block is provided with a news screening block, a news adding block and a news classifying block; the FAQ management includes adding, deleting, or editing FAQ information.
The invention has the beneficial effects that: the flow channel analysis configuration method and the system thereof based on internet data analysis have good data acquisition effect, are provided for user side and marketing end merchants, have the function of accurately, comprehensively and intelligently analyzing the flow channels of the user side and the marketing end, can meet the increasing demands of customers, achieve good applicability and accuracy, and reduce the network marketing cost of the merchant customers; meanwhile, the system application end is simple in overall structure and easy to operate, safe and stable to use and rich in functions, so that the mounted user can visually, comprehensively, completely and intelligently obtain corresponding data, the data analysis effect is improved, monitoring and management of a merchant on marketing products and management of station groups are facilitated, and large-scale popularization and use are facilitated.
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In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the description below are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without inventive labor. Wherein:
FIG. 1 is a block flow diagram of a method in embodiment 1 of the present invention;
FIG. 2 is a schematic block diagram of a system according to embodiment 2 of the present invention;
fig. 3 is a schematic block diagram of an independent station management unit, a data insight unit, and an analysis unit in embodiment 2 of the present invention.
Detailed Description
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in detail below.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, but the present invention may be practiced in other ways than those specifically described and will be readily apparent to those of ordinary skill in the art without departing from the spirit of the present invention, and therefore the present invention is not limited to the specific embodiments disclosed below.
Furthermore, reference herein to "one embodiment" or "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment is included in at least one implementation of the invention. The appearances of the phrase "in one embodiment" in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments.
Embodiment 1, please refer to fig. 1, which is an embodiment of the present invention, and the embodiment provides a traffic channel analysis configuration method based on internet data analysis. The method specifically comprises the following steps:
s1, the big data acquisition module acquires product marketing data generated by a marketing end and user access data generated by a user end in the network;
s2, correspondingly transmitting the acquired product marketing data and the user access data to a big data analysis configuration module, and judging whether the user access data has data related to the product marketing data through a judging unit;
s3, if the judgment unit is in accordance with the judgment unit, transmitting the user access data and the product marketing data and inputting the user access data and the product marketing data into the analysis unit for cluster analysis;
s4, analyzing the product marketing configuration data and the user configuration data in the analysis unit, and distributing the data to the corresponding independent station management unit and the data insight unit to obtain and display corresponding data results;
and S5, the client on the client mounting end consults, looks over, collects and stores the corresponding data result by accessing the big data analysis configuration module.
In step S1, the marketing end and the user end acquire corresponding product marketing data and user access data through the integrated marketing acquisition unit in the big data acquisition module, and the integrated marketing acquires data generated on a preset website in real time by using web data, including search engine marketing and search engine optimization for keyword monitoring and keyword management.
Based on the above, the product marketing data collection generated by the marketing end comprises the following specific steps:
s101, inputting a resource object website;
s102, editing a search formula or keywords to enter search, or selecting universe collection;
s103, mapping corresponding data according to a configuration rule, and automatically identifying and expanding the data;
s104, setting a data time period and adjusting the page cycle setting;
s105, acquiring different source media, regions, most accesses, terminal distribution and flow, identifying data types, identifying data file formats and selecting a derivation path;
s106, the timed task configuration is completed by starting the timed task starting unit, and the timed starting, delayed starting or multi-time period cycle execution task is carried out;
the configuration rule of this embodiment specifically includes: configuring an acquisition range, an acquisition rule, time setting, alias expansion and an object monitoring rule; the acquisition range comprises a source database, a network address and page elements, the configuration acquisition rule comprises an acquisition path, an acquisition picture, a video, an audio, a text type object, an acquisition field item and a data analysis mark, the time setting is the acquisition period setting, the alias extension comprises the existence of various direction descriptions of the object, the unified recording processing is carried out, and the object monitoring rule comprises the resource object positioning, the object classification and the monitoring updating;
meanwhile, the user access data acquisition generated by the user side specifically comprises behavior data or browsing behavior data sent in user side equipment, and different source media, regions, most accesses, terminal distribution and flow of the user side are obtained.
Further, the embodiment sequentially and gradually analyzes the storage format, standardizes the data and removes repeated data operations of the collected product marketing data and the user access data.
In this embodiment, the determining unit extracts information elements from the user access data in the metadata structured around the user side as determining behavior data, determines the information elements from the multiple categories of product marketing data in the database, and derives the data conforming to the determining result and the corresponding product marketing data of the marketing end by circularly verifying the determining result for multiple times, and inputs the data and the product marketing data into the analyzing unit for cluster analysis; and
the analysis unit is also used for analyzing the data types and the source characteristics of the product marketing data and the user access data, wherein the source characteristics comprise source addresses, data distribution, storage formats, data fields, updating mechanisms, information dimensions and data quality.
Preferably, in this embodiment, the analyzing unit performs an insight classification operation on the information data, including performing source medium, region distribution, maximum access, terminal distribution and traffic channel classification on product marketing data generated by the marketing terminal and user access data generated by the user terminal;
meanwhile, the analysis unit configures the information data, configures the product marketing configuration data and the user configuration data to the mapped functional blocks, and specifically performs a product management function and a content management function on the product marketing data generated by the marketing end and the user access data generated by the user end.
It should be noted that the data result display obtained in step S4 includes a pie chart for a scale-to-scale display, a line chart for a trend display, a bar chart for different number of displays, a list for detailed information display, and map tiles for different regional user displays. The method comprises the following specific steps:
the pie chart shows the proportion of different media in the user source;
the broken line graph shows the proportion of different media in the user source in nearly seven days and the change of the proportion of a single medium in the user source in nearly seven days;
displaying detailed data of different media user sources by a list;
displaying the occupation ratio of different areas in site visit quantity by using a pie chart;
the access amount of users in different areas is displayed in blocks by using a map;
displaying detailed information of the access volumes of different regions by using a list;
using a broken line statistical graph to represent the broken line statistical graph of the number of times of accessing the page by the user in nearly seven days;
counting the number of times of accessing the page by using the list;
displaying the proportion of different types of equipment by using a pie chart;
displaying the change of the access quantity of different types of terminals in nearly seven days by using a histogram;
displaying different types of terminal access information by using a list;
displaying the flow rate ratio of different channels by using a pie chart;
displaying the variation trend of the flow of different channels in nearly seven days by using a line graph;
and displaying the details of the flow information of different channels by using a list.
Based on the above, the flow channel analysis configuration method provided by the invention is constructed based on internet data analysis, has a good data acquisition effect, is provided for user end and marketing end merchants, has an accurate, comprehensive and intelligent analysis function on the flow channels of the user end and the marketing end, can meet the increasing demands of customers, achieves good applicability and accuracy, reduces the network marketing cost of the merchants, has pertinence in managing different products, has good data insight effect and high flexibility and universality, and meets the product demands of different merchants.
Embodiment 2, please refer to fig. 2 and fig. 3, which are an embodiment of the present invention, and the embodiment provides a traffic channel analysis configuration system based on internet data analysis based on the method of embodiment 1, including:
the big data acquisition module is used for acquiring product marketing data generated by a marketing end and user access data generated by a user end in a network, and comprises an integrated marketing acquisition unit, a big data acquisition unit and a big data acquisition unit, wherein the integrated marketing acquisition unit is used for acquiring data generated on a preset website in real time by utilizing web data, and the big data acquisition unit comprises search engine marketing and search engine optimization for keyword monitoring and keyword management;
the big data analysis and configuration module receives the data of the big data acquisition module, is used for analyzing and configuring the product marketing data and the user access data acquired by the big data acquisition module, and comprises a judgment unit, an analysis unit, a data insights unit, an independent station management unit and an information base;
the system comprises a judging unit, a processing unit and a processing unit, wherein the judging unit is used for judging whether the acquired user access data has corresponding product marketing data;
the analysis unit is used for analyzing the product marketing data of the product corresponding to the product end and the user access data of the user corresponding to the user end by using the corresponding behavior data to obtain corresponding product marketing configuration data and user configuration data when the judgment module judges that the behavior data corresponding to the product marketing data exists in the user access data;
the data insight unit is used for the insight classification of the information data of the big data acquisition module of the system and comprises a source medium function block, a region distribution function block, a maximum access function block, a terminal distribution function block and a flow channel function block;
the independent station management unit is used for configuring information data of the system, comprises a product management function block and a content management function block, and configures product marketing configuration data and user configuration data into the product management function block and the content management function block in the mapped independent station management module;
the information base is used for caching and storing the system information data; and
and the client mounting end is used for accessing the big data analysis configuration module by the client.
In this embodiment, the analysis unit specifically analyzes product marketing configuration data and user configuration data, and specifically includes source medium analysis, regional analysis, maximum access analysis, terminal distribution analysis, traffic channel analysis, product management analysis, content management analysis, data presentation analysis, and station group management analysis;
the independent station management unit is connected with the analysis unit and used for outputting the analyzed corresponding product marketing configuration data and user configuration data to the independent station management unit for classification management, wherein the independent station management unit comprises a data presentation block, a theme library selection block, a station group management block, a product management block and a content management block;
and the data insights unit is connected with the analysis unit and used for the analysis unit to output the analyzed corresponding product marketing configuration data and user configuration data to the data insights unit for classification management, wherein the data insights unit comprises a source medium block, a regional distribution block, a maximum access block, a terminal distribution block and a flow channel block.
The implementation further illustrates that the data presentation block is used for presenting a statistical chart of a single site, including data of a site inquiry, keywords, browsing volume, users, hop rate, online duration and activity, and the data presentation block adopts a dashboard situation for presentation;
the theme library selecting block is used for providing a theme template for the user to use;
the site group management block is used for managing the created sites and comprises a site query function block and an editing function block, wherein the site query function block is used for querying to quickly find the site which the site wants to operate under the condition that the sites are more;
the product management block is provided with product screening, product adding and product adding classification and is used for managing products in the sites in the authority, and the product screening, product adding and product adding classification comprise the steps of editing the selected products, setting keyword monitoring and optimizing, deleting and putting on shelf or putting off shelf of a keyword management search engine;
the content management block comprises news management and FAQ management, wherein the news management is provided with a news screening block, a news adding block and a news classifying block; the FAQ management includes adding, deleting, or editing FAQ information.
The flow channel analysis and configuration method has good data acquisition effect, is provided for the user side and the marketing end, has the function of accurately, comprehensively and intelligently analyzing the flow channels of the user side and the marketing end, can meet the increasing demands of customers, achieves good applicability and accuracy, and reduces the network marketing cost of the merchants. In addition, the system application end has simple integral structure, easy operation, safe and stable use and rich functions, so that the mounted user can visually, comprehensively, completely and intelligently obtain corresponding data, the data analysis effect is improved, and monitoring and management of a merchant on marketing products and management of station groups are facilitated.
In conclusion, the flow channel analysis configuration method and the flow channel analysis configuration system based on internet data analysis have good data acquisition effect, are provided for user terminals and marketing terminals, have the function of accurately, comprehensively and intelligently analyzing the flow channels of the user terminals and the marketing terminals, can meet the increasing demands of customers, achieve good applicability and accuracy, and reduce the network marketing cost of the marketing terminals; meanwhile, the system application end is simple in overall structure and easy to operate, safe and stable to use and rich in functions, so that the mounted user can visually, comprehensively, completely and intelligently obtain corresponding data, the data analysis effect is improved, monitoring and management of a merchant on marketing products and management of station groups are facilitated, and large-scale popularization and use are facilitated.
It should be noted that the above-mentioned embodiments are only for illustrating the technical solutions of the present invention and not for limiting, and although the present invention has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications or equivalent substitutions may be made on the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, which should be covered by the claims of the present invention.
Claims (9)
1. The flow channel analysis configuration method based on internet data analysis is characterized by comprising the following steps:
s1, the big data acquisition module acquires product marketing data generated by a marketing end and user access data generated by a user end in the network;
s2, correspondingly transmitting the obtained product marketing data and user access data to a big data analysis configuration module, judging whether the user access data has data related to the product marketing data, specifically, extracting information elements from the user access data in structured metadata surrounding a user terminal as judgment behavior data, judging with multiple types of product marketing data in a database, circularly verifying the judgment result for multiple times, exporting the judgment result conforming data and the corresponding product marketing data of an marketing terminal, and inputting the judgment result conforming data and the product marketing data of the marketing terminal to an analysis unit for cluster analysis; the analysis unit is further used for analyzing the data types and source characteristics of the product marketing data and the user access data, wherein the source characteristics comprise source addresses, data distribution, storage formats, data fields, an updating mechanism, information dimensions and data quality;
s3, when data related to the product marketing data exist, inputting the user access data and the product marketing data into an analysis unit for cluster analysis; clustering and analyzing product marketing data of a product corresponding to the product end and user access data of a user corresponding to the user end by using corresponding behavior data to obtain corresponding product marketing configuration data and user configuration data;
s4, independent station management and data insight processing are carried out on the product marketing configuration data and the user configuration data after the clustering analysis through an analysis unit, and corresponding product marketing configuration data and user configuration data are obtained and are visually displayed in a chart mode; the independent station management specifically comprises management functions of data presentation, theme library selection, station group management, product management and content management, further comprises data presentation and data display, wherein the data presentation is used for displaying a statistical chart of a single station, the data presentation comprises data of station inquiry disks, keywords, browsing volumes, users, hop rates, online durations and liveness, the theme library selects a theme template used for being provided for the users, the station group management is used for managing the established stations, the station group management comprises a station inquiry function block and an editing function, the product management is provided with product screening, product adding and product adding classification, and is used for managing products in stations in the authority, and the management comprises the steps of editing the selected products, setting keyword monitoring and keyword management search engine optimization, deletion, putting on shelf or putting off shelf; content management comprises news management and FAQ management; the data insights specifically perform corresponding insights and classification operations on data source media, regional distribution, maximum access, terminal distribution and flow channels;
and S5, accessing the big data analysis configuration module, and consulting, looking over, collecting and storing corresponding data results.
2. The internet data analysis-based traffic channel analysis and configuration method of claim 1, wherein in step S1, the marketing end and the user end obtain corresponding product marketing data and user access data through a big data obtaining module, which integrates marketing to obtain data generated on a predetermined website in real time by using web data, including search engine marketing and search engine optimization for keyword monitoring and keyword management.
3. The internet data analysis-based traffic channel analysis configuration method of claim 2, wherein the marketing data collection of the product generated by the marketing end comprises the following specific steps:
s101, inputting a resource object website;
s102, editing a search formula or keywords to enter search, or selecting universe collection;
s103, mapping corresponding data according to a configuration rule, and automatically identifying and expanding the data;
s104, setting a data time period and adjusting the page cycle setting;
s105, acquiring different source media, regions, most accesses, terminal distribution and flow, identifying data types, identifying data file formats and selecting a derivation path;
s106, the timed task configuration is completed by starting the timed task starting unit, and the timed starting, delayed starting or multi-time period cycle execution task is carried out;
the user access data collection generated by the user side comprises behavior data or browsing behavior data sent by user side equipment, and different source media, regions, most accesses, terminal distribution and flow of the user side are obtained.
4. The internet data analysis-based traffic channel analysis and configuration method according to claim 3, wherein the collected product marketing data and user access data are sequentially and gradually subjected to storage format parsing, data standardization processing and repeated data removal operations;
the configuration rule comprises a configuration acquisition range, a configuration acquisition rule, time setting, alias expansion and an object monitoring rule; the acquisition range comprises a source database, a network address and page elements, the configuration acquisition rule comprises an acquisition path, an acquisition picture, a video, an audio, a text type object, an acquisition field item and a data analysis mark, the time setting is the acquisition period setting, the alias extension comprises the existence of various direction descriptions of the object, the unified recording processing is carried out, and the object monitoring rule comprises the resource object positioning, the object classification and the monitoring updating.
5. The internet data analysis-based traffic channel analysis and configuration method according to claim 1, wherein the configuration of the information data by the analysis unit is to configure product marketing configuration data and user configuration data into mapped function blocks, and specifically includes performing product management function and content management function on product marketing data generated by a marketing end and user access data generated by a user end.
6. The internet data analysis-based traffic channel analysis configuration method according to claim 1, wherein in step S4, a visual presentation display is performed in a chart manner, including a pie chart for a proportion scale display, a line chart for a trend display, a bar chart for different number of displays, a list for a detailed information display, and a map section for different regional user displays.
7. The system of the traffic channel analysis configuration method based on internet data analysis as claimed in any one of claims 1 to 6, comprising:
the big data acquisition module is used for acquiring product marketing data generated by a marketing end and user access data generated by a user end in a network, and comprises an integrated marketing acquisition unit, a big data acquisition unit and a big data acquisition unit, wherein the integrated marketing acquisition unit is used for acquiring data generated on a preset website in real time by utilizing web data, and the big data acquisition unit comprises search engine marketing and search engine optimization for keyword monitoring and keyword management;
the big data analysis and configuration module receives the data of the big data acquisition module, is used for analyzing and configuring the product marketing data and the user access data acquired by the big data acquisition module, and comprises a judgment unit, an analysis unit, a data insights unit, an independent station management unit and an information base;
the judging unit is used for judging whether the acquired user access data has corresponding product marketing data;
the analysis unit is used for analyzing the product marketing data of the product corresponding to the product end and the user access data of the user corresponding to the user end by using the corresponding behavior data to obtain corresponding product marketing configuration data and user configuration data when the judgment module judges that the behavior data corresponding to the product marketing data exists in the user access data;
the data insight unit is used for the insight classification of the information data of the system big data acquisition module and comprises a source medium function block, a region distribution function block, a maximum access function block, a terminal distribution function block and a flow channel function block;
the independent station management unit is used for information data configuration of the system, comprises a product management function block and a content management function block, and configures product marketing configuration data and user configuration data into the product management function block and the content management function block in the mapped independent station management module;
the information base is used for caching and storing system information data; and
and the client mounting end is used for accessing the big data analysis configuration module by the client.
8. The system of the flow channel analysis configuration method based on internet data analysis of claim 7, wherein the analysis unit comprises analysis of product marketing configuration data and user configuration data, specifically comprising source medium analysis, regional analysis, most visited analysis, terminal distribution analysis and flow channel analysis, and product management analysis, content management analysis, data presentation analysis and station group management analysis;
the independent station management unit is connected with the analysis unit and used for outputting the analyzed corresponding product marketing configuration data and user configuration data to the independent station management unit for classification management, wherein the independent station management unit comprises a data presentation block, a theme library selection block, a station group management block, a product management block and a content management block;
and the data insights unit is connected with the analysis unit and used for the analysis unit to output the analyzed corresponding product marketing configuration data and user configuration data to the data insights unit for classification management, wherein the data insights unit comprises a source medium block, a regional distribution block, a maximum access block, a terminal distribution block and a flow channel block.
9. The system according to claim 8, wherein the data presentation block is configured to present a statistical chart of a single site, including data of inquiry disks, keywords, browsing volume, users, hop rate, online duration, and activity of the site, and is presented in a dashboard format;
the theme library selecting block is used for providing a theme template for the user to use;
the site group management block is used for managing the created sites and comprises a site query function block and an editing function block, wherein the site query function block is used for querying to quickly find the site which the site wants to operate under the condition that the sites are more;
the product management block is provided with product screening, product adding and product adding classification and is used for managing products in sites in authority, wherein the product management block is used for editing selected products, setting keyword monitoring and keyword management search engine optimization, deletion, putting on shelf or putting off shelf;
the content management block comprises news management and FAQ management, wherein the news management is provided with a news screening block, a news adding block and a news classifying block; the FAQ management includes adding, deleting, or editing FAQ information.
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