CN115599354A

CN115599354A - Flow canvas generation method and device, electronic equipment and storage medium

Info

Publication number: CN115599354A
Application number: CN202211292688.6A
Authority: CN
Inventors: 桑文锋; 曹犟; 刘耀洲; 付力力; 郭雪东; 汪安佳
Original assignee: Sensors Data Network Technology Beijing Co Ltd
Current assignee: Sensors Data Network Technology Beijing Co Ltd
Priority date: 2022-10-21
Filing date: 2022-10-21
Publication date: 2023-01-13

Abstract

The application discloses a process canvas generation method, a device, an electronic device and a storage medium, comprising: receiving a canvas establishment request, and generating an initial canvas, wherein the initial canvas comprises marketing activity information corresponding to the canvas establishment request; comparing the marketing activity information with activity information in a preset process canvas, and acquiring the same type of canvas corresponding to the initial canvas from the preset process canvas; acquiring a marketing audience set associated with the same type of canvas; and associating the marketing audience set with the initial canvas to obtain a marketing process canvas. Therefore, the process canvas generation method provided by the embodiment of the application can obtain the same kind of canvas with activity information similar to marketing activity information, takes the marketing audience set associated with the same kind of canvas as the crowd set to be associated with the initial canvas, and does not need to send a request to an audience computing system when the canvas is newly built every time, so that the times of data transmission can be greatly reduced, and the occupation amount of bandwidth resources is further reduced.

Description

Flow canvas generation method and device, electronic equipment and storage medium

Technical Field

The application relates to the technical field of canvas generation, in particular to a process canvas generation method and device, electronic equipment and a storage medium.

Background

The flow canvas is a visual marketing tool commonly used by merchants, and can be used for carrying out automatic marketing on target crowds in appointed marketing time, so that the marketing cost of the merchants can be effectively reduced.

However, when the flow canvas is newly created, a crowd set to be screened needs to be requested by an external audience computing server, and the crowd set is associated with the flow canvas, so that when marketing is performed, a target crowd can be screened from the crowd set, and when one flow canvas is newly created, a request needs to be made to the audience computing server once, and a large amount of network bandwidth resources are occupied in the new creation process.

Disclosure of Invention

The application provides a flow canvas generation method, a flow canvas generation device, electronic equipment and a storage medium, and aims to solve the calculation problem that a large amount of network bandwidth resources are occupied when a new flow canvas is created by the existing flow canvas generation method.

In a first aspect, the present application provides a method for generating a process canvas, including:

receiving a canvas establishment request, and generating an initial canvas, wherein the initial canvas comprises marketing activity information corresponding to the canvas establishment request;

comparing the marketing activity information with activity information in a preset process canvas, and acquiring the same type of canvas corresponding to the initial canvas from the preset process canvas;

acquiring a marketing audience set associated with the same type of canvas;

and associating the marketing audience set with the initial canvas to obtain a marketing process canvas.

In a possible implementation manner of the present application, the associating the marketing audience set with the initial canvas, and after obtaining the marketing procedure canvas, further includes:

receiving an attribute query request for the marketing process canvas, and acquiring a target audience corresponding to the attribute query request;

and querying a target audience attribute of the target audience from the marketing audience set associated with the marketing process canvas.

In a possible implementation manner of the present application, comparing the marketing campaign information with the campaign information in the preset flow canvas, and obtaining the same kind of canvas corresponding to the initial canvas from the preset flow canvas includes:

performing hash value calculation processing on the marketing activity information to obtain a target characteristic value corresponding to the initial canvas;

the method comprises the steps of obtaining a plurality of preset canvas index nodes and identification characteristic values corresponding to the canvas index nodes, wherein each canvas index node is associated with a preset process canvas, the preset process canvas associated with each canvas index node is determined based on activity information of the preset process canvas, and the identification characteristic value corresponding to each canvas index node is obtained by calculating the activity information of the associated preset process canvas;

and comparing the target characteristic value with the identification characteristic values corresponding to the canvas index nodes to obtain a target node with the similarity between the identification characteristic value and the target characteristic value being greater than or equal to a preset threshold value, and taking a preset process canvas associated with the target node as the same type of canvas corresponding to the initial canvas.

In a possible implementation manner of the present application, before obtaining a plurality of preset canvas index nodes and an identification feature value corresponding to each canvas index node, the method further includes:

acquiring a preset flow canvas and a marketing time category of the preset flow canvas;

if the marketing time category is periodic marketing, determining a preset flow canvas associated with each preset node according to a marketing activity number and a marketing rule text in activity information of the preset flow canvas for each preset node to obtain a plurality of canvas index nodes associated with the preset flow canvas;

for each canvas index node, determining a target time period corresponding to each canvas index node according to a marketing time period in activity information of each associated preset process canvas;

and calculating to obtain an identification characteristic value corresponding to each canvas index node according to the target time period, the marketing activity number and the marketing rule text corresponding to each canvas index node.

In a possible implementation manner of the present application, for each canvas index node, determining a target time period corresponding to each canvas index node according to a marketing time period in activity information of each associated preset flow canvas includes:

for each canvas index node, counting marketing time periods in activity information of each associated preset process canvas to obtain a shortest time period containing each marketing time period;

and setting the shortest time period as a target time period corresponding to each canvas index node.

In a possible implementation manner of the present application, the obtaining of the preset flow canvas and after the marketing time category of the preset flow canvas further include:

if the marketing time category is aperiodic marketing, determining a preset flow canvas associated with each preset node according to a marketing activity number, a marketing time point and a marketing rule text in activity information of the preset flow canvas for each preset node to obtain a plurality of canvas index nodes associated with the preset flow canvas;

and calculating to obtain an identification characteristic value corresponding to each canvas index node according to the marketing activity number, the marketing time point and the marketing rule text corresponding to each canvas index node.

receiving a canvas deletion request, and determining a node to be deleted corresponding to the canvas deletion request in each preset canvas index node and a canvas to be deleted corresponding to the canvas deletion request in a preset flow canvas associated with the node to be deleted;

acquiring the canvas quantity of other canvases except the canvas to be deleted in the preset process canvas associated with the node to be deleted;

and if the number of the canvas is zero, deleting the nodes to be deleted from the canvas index nodes to obtain the deleted canvas index nodes.

In a second aspect, the present application provides a flow canvas generation apparatus, including:

the generating unit is used for receiving a canvas establishment request and generating an initial canvas, wherein the initial canvas comprises marketing activity information corresponding to the canvas establishment request;

the comparison unit is used for comparing the marketing activity information with activity information in a preset process canvas and acquiring the same type of canvas corresponding to the initial canvas from the preset process canvas;

the acquisition unit is used for acquiring the marketing audience set associated with the same type of canvas;

and the associating unit is used for associating the marketing audience set with the initial canvas to obtain a marketing process canvas.

In a possible implementation manner of the present application, the associating unit is further configured to:

and querying a marketing audience set associated with the marketing process canvas to obtain the target audience attribute of the target audience.

In a possible implementation manner of the present application, the comparison unit is further configured to:

In a third aspect, the present application further provides an electronic device, where the electronic device includes a processor, a memory, and a computer program stored in the memory and executable on the processor, and the processor executes the steps in any one of the process canvas generation methods provided in the present application when calling the computer program in the memory.

In a fourth aspect, the present application further provides a storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the computer program implements the steps in any one of the process canvas generation methods provided in the present application.

To sum up, the method for generating the flow canvas provided by the embodiment of the present application includes: receiving a canvas establishment request, and generating an initial canvas, wherein the initial canvas comprises marketing activity information corresponding to the canvas establishment request; comparing the marketing activity information with activity information in a preset process canvas, and acquiring the same type of canvas corresponding to the initial canvas from the preset process canvas; acquiring a marketing audience set associated with the same type of canvas; and associating the marketing audience set with the initial canvas to obtain a marketing process canvas.

Therefore, the process canvas generation method provided by the embodiment of the application can obtain the same kind of canvas with activity information similar to marketing activity information, takes the marketing audience set associated with the same kind of canvas as the crowd set to be associated with the initial canvas, does not need to send a request to an audience computing system when the canvas is newly built every time, can greatly reduce the times of data transmission, and further reduces the occupation amount of bandwidth resources.

Drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present application, 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 application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.

Fig. 1 is an application scenario diagram of a flow canvas generation method provided in an embodiment of the present application;

FIG. 2 is a diagram of a flow canvas provided in an embodiment of the present application;

fig. 3 is a schematic flow chart diagram of a method for generating a flow canvas provided in an embodiment of the present application;

FIG. 4 is a schematic flow chart of obtaining canvas of the same type provided in the embodiment of the present application;

FIG. 5 is a schematic flow chart of obtaining a canvas index node provided in an embodiment of the present application;

FIG. 6 is a schematic structural diagram of an embodiment of a flow canvas generation apparatus provided in an embodiment of the present application;

fig. 7 is a schematic structural diagram of an embodiment of an electronic device provided in the embodiment of the present application.

Detailed Description

The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.

In the description of the embodiments of the present application, it should be understood that the terms "first", "second", and the like are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or to implicitly indicate the number of technical features indicated. Thus, features defined as "first" and "second" may explicitly or implicitly include one or more of the described features. In the description of the embodiments of the present application, "a plurality" means two or more unless specifically defined otherwise.

The following description is presented to enable any person skilled in the art to make and use the application. In the following description, details are set forth for the purpose of explanation. It will be apparent to one of ordinary skill in the art that the present application may be practiced without these specific details. In other instances, well-known processes have not been described in detail so as not to obscure the description of the embodiments of the present application with unnecessary detail. Thus, the present application is not intended to be limited to the embodiments shown, but is to be accorded the widest scope consistent with the principles and features disclosed in the embodiments herein.

The embodiment of the application provides a method and a device for generating a flow canvas, electronic equipment and a storage medium. The flow canvas generating apparatus may be integrated in an electronic device, and the electronic device may be a server or a terminal.

The execution main body of the method for generating the flow canvas according to the embodiment of the present application may be the flow canvas generating apparatus provided in the embodiment of the present application, or different types of electronic devices such as a server device, a physical host, or a User Equipment (UE) integrated with the flow canvas generating apparatus, where the flow canvas generating apparatus may be implemented in a hardware or software manner, and the UE may specifically be a terminal device such as a smart phone, a tablet computer, a notebook computer, a palm computer, a desktop computer, or a Personal Digital Assistant (PDA).

The electronic device may adopt a working mode of independent operation, or may also adopt a working mode of a device cluster.

Referring to fig. 1, fig. 1 is a scene schematic diagram of a flow canvas generation system provided in an embodiment of the present application. The process canvas generation system may include an electronic device 101, and a process canvas generation apparatus is integrated in the electronic device 101.

In addition, as shown in fig. 1, the flow canvas generation system may further include a memory 102 for storing data, such as storing text data.

It should be noted that the scene schematic diagram of the flow canvas generation system shown in fig. 1 is only an example, and the flow canvas generation system and the scene described in the embodiment of the present application are for more clearly illustrating the technical solution of the embodiment of the present application, and do not form a limitation on the technical solution provided in the embodiment of the present application.

In the following, a method for generating a flow canvas provided in an embodiment of the present application is described, where an electronic device is used as an execution main body in the embodiment of the present application, and for simplification and convenience of description, the execution main body is omitted in a subsequent method embodiment, and the method for generating a flow canvas includes: receiving a canvas establishment request, and generating an initial canvas, wherein the initial canvas comprises marketing activity information corresponding to the canvas establishment request; comparing the marketing activity information with activity information in a preset process canvas, and acquiring the same type of canvas corresponding to the initial canvas from the preset process canvas; acquiring a marketing audience set associated with the same type of canvas; and associating the marketing audience set with the initial canvas to obtain a marketing process canvas.

For convenience of understanding, an application scenario of the embodiment of the present application is first described: in a marketing scenario, in order to automatically determine an audience of a marketing campaign, a process canvas is generally used as a marketing tool. The process canvas is a flow chart-like visual marketing tool, and referring to fig. 2, a process canvas 200 is shown in fig. 2, and in the process canvas 200, there is an audience rule node 201 containing marketing campaign information. The marketing campaign information may include, among other things, the rules for audience screening, the time the marketing campaign was triggered, and the campaign number for the marketing campaign. For example, in fig. 2, the rule of audience filtering in the marketing campaign information is "registered users", the time of marketing campaign triggering is "18 o' clock at 4/1/2022", the campaign number of the marketing campaign is not shown, but may also be obtained by reading the marketing campaign information contained in the audience rule node 201. Through the flow canvas tool, automation and timing of audience screening can be realized, and time of merchants is saved. It can be understood that, in order to obtain the audience corresponding to the marketing campaign, for the audience rule node in the process canvas corresponding to each marketing campaign, a filtered crowd set should be corresponding to each audience rule node, where the crowd set includes audience attributes such as the ID and gender of the audience. The screened crowd set can send a request to an external audience computing system based on audience rules when the flow canvas is newly built, and the crowd set returned after the audience computing system is screened is associated with the newly built canvas, so that the flow canvas which can be used for marketing is obtained. However, in the method for constructing the process canvas, each time a new process canvas is created, a request needs to be sent to the audience computing system, the number of data transmission times is large, and bandwidth resources are wasted.

Referring to fig. 3, fig. 3 is a schematic flow diagram of a method for generating a flow canvas according to an embodiment of the present application. It should be noted that, although a logical order is shown in the flow chart, in some cases, the steps shown or described may be performed in an order different than that shown or described herein. The flow canvas generation method may specifically include the following steps 301 to 304, where:

301. receiving a canvas establishment request, and generating an initial canvas, wherein the initial canvas comprises marketing activity information corresponding to the canvas establishment request.

The canvas establishment request refers to a computer request to generate a flow canvas. Illustratively, a merchant may trigger a canvas establishment request in the flow canvas tool by clicking on a virtual control used to generate the flow canvas. It will be appreciated that the canvas creation request should include the style information, layout information, and marketing campaign information for the flow canvas. The style information may include color information, font information, and the like of nodes in the process canvas, the layout information may include relative position information of each node in the process canvas on an interface corresponding to the process canvas, and the description of the marketing campaign information may refer to the above, which is not specifically described again.

The initial canvas refers to a process canvas of a collection of unassociated people. The electronic device can construct a flow canvas of the unassociated crowd set according to the style information, the layout information, and the marketing campaign information in the canvas establishment request.

302. And comparing the marketing activity information with activity information in a preset process canvas, and acquiring the same type of canvas corresponding to the initial canvas from the preset process canvas.

The preset flow canvas may refer to a flow canvas that has been associated with a crowd set in a database of the flow canvas tool. It is understood that the campaign information in the pre-set process canvas may also include the rules of audience screening, the time of marketing campaign triggering, and the campaign number of the marketing campaign.

The same kind of canvas corresponding to the initial canvas may refer to a preset flow canvas with activity information similar to marketing activity information. Illustratively, the marketing activity information and the activity information in the preset flow canvas can be respectively converted into vectors, and the similarity between the vectors is compared to obtain the similar canvas with larger similarity. Or, corresponding hash values can be calculated for the calculated marketing activity information and the activity information in the preset flow canvas respectively, and the similarity between the hash values is compared to obtain the similar canvas with larger similarity.

It can be appreciated that the purpose of obtaining a homogeneous canvas is to obtain a set of people to which the initial canvas is to be associated. If the marketing activity information of the initial canvas is similar to the activity information of a certain preset process canvas, the initial canvas and the certain preset process canvas need to be the same crowd set after a request is sent to the audience computing system based on the audience rule, and therefore if the same type of canvas can be obtained, the crowd set associated with the same type of canvas can be used as the crowd set to be associated with the initial canvas without sending the request to the audience computing system again.

303. And acquiring a marketing audience set associated with the same type of canvas.

The marketing audience set associated with the same class of canvas is the crowd set associated with the same class of canvas, and the crowd set comprises audience attributes such as the ID, the gender and the like of the audience.

304. And associating the marketing audience set with the initial canvas to obtain a marketing process canvas.

The marketing flow canvas refers to a flow canvas that has been associated with a set of people.

And taking the crowd set associated with the same type of canvas as a crowd set to be associated with the initial canvas, and associating the initial canvas with the crowd set to be associated to obtain the marketing flow canvas associated with the crowd set.

It should be noted that, if the same kind of canvas as the initial canvas is not obtained in step 302, in order to obtain the marketing process canvas, a request needs to be sent to the audience computing system based on the audience rule, and the crowd set returned by the audience computing system is associated with the initial canvas to obtain the marketing process canvas.

It can be seen that the methods in steps 301-304 do not need to send a request to the audience computing system each time a canvas is newly created, which can greatly reduce the number of data transmission times and further reduce the occupation of bandwidth resources.

After the marketing flow canvas is obtained, a marketing campaign may be implemented based on the marketing flow canvas. At this time, after the step of associating the marketing audience set with the initial canvas to obtain a marketing process canvas, the method further includes:

(A) And receiving an attribute query request for the marketing process canvas, and acquiring a target audience corresponding to the attribute query request.

Wherein the attribute query request is used for querying audience attributes of the target audience. For example, the merchant may input the ID of the target audience in the interface corresponding to the marketing process canvas to trigger an attribute query request for the marketing process canvas to query the audience attributes of the target audience. Wherein, the audience attributes may include audience gender, audience age, and the like, that have been stored in the demographic set associated with the marketing flow canvas, i.e., the marketing audience set.

(B) And querying a marketing audience set associated with the marketing process canvas to obtain the target audience attribute of the target audience.

Therefore, the process canvas generation method provided by the embodiment of the application can obtain the same kind of canvas with activity information similar to marketing activity information, takes the marketing audience set associated with the same kind of canvas as the crowd set to be associated with the initial canvas, and does not need to send a request to an audience computing system when the canvas is newly built every time, so that the times of data transmission can be greatly reduced, and the occupation amount of bandwidth resources is further reduced.

Although the method of steps 301 to 304 may reduce the occupation amount of bandwidth resources, since the activity information of each preset process canvas needs to be compared with the marketing activity information when step 302 is executed, in the case that there are a lot of preset process canvases and there may be a plurality of preset process canvases having similar activity information, the comparison times are more, and repeated comparison may be performed, which occupies a lot of computing resources. Therefore, in order to solve the problem, a related canvas index node may be first constructed for a preset flow canvas with similar activity information, a characteristic value of the canvas index node is obtained by calculation according to the activity information of the related preset flow canvas, the characteristic value is compared with a characteristic value corresponding to marketing activity information to determine a canvas index node with activity information of the related preset flow canvas similar to the marketing activity information, and the preset flow canvas related to the canvas index node is used as a similar canvas corresponding to an initial canvas.

Referring to fig. 4, at this time, the step of "comparing the marketing campaign information with the campaign information in the preset flow canvas, and obtaining the same kind of canvas corresponding to the initial canvas from the preset flow canvas" includes:

401. and performing hash value calculation processing on the marketing activity information to obtain a target characteristic value corresponding to the initial canvas.

It can be understood that the target feature value corresponding to the initial canvas is a target hash value obtained after hash value calculation is performed on the marketing activity information. The specific process of calculating the hash value is not limited in the embodiments of the present application.

402. The method comprises the steps of obtaining a plurality of preset canvas index nodes and identification characteristic values corresponding to the canvas index nodes, wherein each canvas index node is associated with a preset process canvas, the preset process canvas associated with each canvas index node is determined based on activity information of the preset process canvas, and the identification characteristic value corresponding to each canvas index node is obtained by calculating the activity information of the associated preset process canvas.

As can be seen from the above description, each canvas index node is associated with at least one preset process canvas, and the activity information of the preset process canvas associated with each canvas index node is similar.

As can be understood from the above description, the process canvases with similar activity information should be associated with the same crowd set, and therefore, for each canvas index node, the crowd sets associated with the associated preset process canvases should be the same, that is, each canvas index node corresponds to one crowd set.

The identification characteristic value is obtained by calculation according to the activity information of the associated preset process canvas and is used for judging whether the activity information of the associated preset process canvas is similar to the marketing activity information. When the target feature value refers to a hash value, the identification feature value refers to the hash value as well.

For example, when the preset flow canvas associated with each canvas index node is determined, all the preset flow canvases stored in the preset database may be first obtained, and then the canvas index node associated with the preset flow canvas may be obtained according to the preset flow canvas associated with the same preset node by using at least a part of the preset flow canvases with the same information in the activity information. For example, for a preset flow canvas with a marketing time being periodic time, that is, the marketing time includes multiple periodic time points or periodic time periods, because the rules of audience screening are the same, the campaign numbers of marketing campaigns are the same, but marketing campaigns with different marketing times may still face the same crowd, so that in campaign information, the rules of audience screening are the same, the preset flow canvas with the same campaign number of marketing campaigns is used as the preset flow canvas associated with the same preset node to obtain the canvas index node associated with the preset flow canvas index node, then, according to the marketing time in the preset flow canvas associated with each canvas index node, the target marketing time for representing the overall situation of the marketing time of the preset flow canvas associated with each canvas index node is obtained through statistics, and finally, according to the audience screening rules of the associated preset flow canvas, the marketing campaign numbers, and the target time corresponding to each canvas index node, the identification characteristic value corresponding to each canvas index node is obtained through calculation.

At this time, before the step "obtaining a plurality of preset canvas index nodes and an identification characteristic value corresponding to each canvas index node", the method further includes:

(1.1) acquiring a preset flow canvas and the marketing time category of the preset flow canvas.

Wherein the marketing-time category may be one of periodic marketing and aperiodic marketing. The periodic marketing refers to that the marketing time includes a plurality of periodic time points or periodic time periods, for example, when the marketing time in the activity message of the preset flow canvas is 0 point of No. 1-15 month, the marketing time category of the preset flow canvas is periodic marketing. The aperiodic marketing refers to a time point where the marketing time is fixed, for example, the marketing time of the process canvas 200 in fig. 2 is 18 points at 4 months and 1 day in 2022, and thus the marketing time category of the process canvas 200 in fig. 2 is aperiodic marketing.

Illustratively, the marketing time category may be generated when the preset process canvas is generated, that is, marked manually, and when step (1.1) is executed, the electronic device may directly obtain the marketing time category of the preset process canvas.

(1.2) if the marketing time category is periodic marketing, determining the preset flow canvas associated with each preset node according to the marketing activity number and the marketing rule text in the activity information of the preset flow canvas for each preset node to obtain a plurality of canvas index nodes associated with the preset flow canvas.

The marketing campaign number refers to the campaign number of the marketing campaign, and the marketing rule text refers to the audience screening rule.

For example, the electronic device may convert the marketing campaign number and the marketing rule text of each preset flow canvas into vectors, and compare the vectors to obtain a plurality of canvas index nodes associated with the preset flow canvas, where the preset flow canvases have the same marketing campaign number and the same marketing rule text are used as the preset flow canvases associated with the same preset node.

(1.3) for each canvas index node, determining a target time period corresponding to each canvas index node according to the marketing time period in the activity information of each associated preset process canvas.

In step (1.3), the marketing time period is the marketing time in the above text, for example, in step (1.1), for the preset process canvas whose marketing time is 0 o 'clock 1-15 of the month, the marketing time period in the activity information contained therein is 0 o' clock 1-15 of the month.

For each canvas index node, the shortest time period including each marketing time period can be obtained according to the marketing time period in the activity information of each associated preset process canvas, the shortest time period is used as a target time period, fine tuning can be performed on the basis of the shortest time period to obtain the target time period, the specific amplitude of the fine tuning can be set according to the actual scene requirements, and the method is not limited in the embodiment of the application. When the shortest time period is taken as a target time period, the step "for each canvas index node, determining the target time period corresponding to each canvas index node according to the marketing time period in the activity information of each associated preset process canvas" includes:

(1.31) for each canvas index node, counting marketing time periods in the activity information of each associated preset process canvas to obtain the shortest time period containing each marketing time period.

Illustratively, for a canvas index node, if the marketing time period in the activity information of the associated preset process canvas a is the 0 o ' clock of the month 1-15, and the marketing time period in the activity information of the associated preset process canvas B is the 0 o ' clock of the month 10-29, the obtained shortest time period including each marketing time period is the 0 o ' clock of the month 1-29.

(1.32) setting the shortest time period as a target time period corresponding to each canvas index node.

Through the steps (1.31) to (1.32), the target time period corresponding to each canvas index node can be obtained.

And (1.4) calculating to obtain an identification characteristic value corresponding to each canvas index node according to the target time period, the marketing activity number and the marketing rule text corresponding to each canvas index node.

When the target characteristic value corresponding to the initial canvas is a hash value, the identification characteristic value corresponding to each canvas index node is a hash value, and the method for calculating the identification characteristic value is not repeated.

For convenience of understanding, the following description will be given of step (1.1) to step (1.4) by taking a specific example:

it is assumed that preset flow canvases a-d exist, and,

for a, the number of the marketing activity is 10, the text of the marketing rule is 'registered user', and the marketing time is '0 point No. 1-15 in the current month';

for b, the number of the marketing campaign is 10, the text of the marketing rule is 'registered user', and the marketing time is '0 point on 10-29 days in the month';

for c, the marketing activity number is 12, the marketing rule text is that the user attribute meets that Email is not empty, and the marketing time is 0 point in 2-8 days of the month;

for d, the marketing activity number is 12, the marketing rule text is that the user attribute satisfies that Email is not empty, and the marketing time is 0 point in 3-9 days of the month;

then, through the steps (1.1) to (1.4), it can be judged that the marketing time categories of the preset process canvases a to d are periodic marketing, and a first canvas index node associated with the preset process canvases a and b and a second canvas index node associated with the preset process canvases c and d are obtained, wherein the target time period corresponding to the first canvas index node is No. 0 point of the month 1-29, and the target time period corresponding to the second canvas index node is No. 0 point of the month 2-9.

And when the marketing time classification is aperiodic marketing, because the marketing activity that the marketing time is fixed time point is even the activity number is the same with the rule that the audience screened, also not necessarily towards same crowd, consequently need not to acquire target time cycle, at this moment, the step "acquire and predetermine the flow canvas, and after the marketing time classification of presetting the flow canvas", still include:

(2.1) if the marketing time category is aperiodic marketing, determining the preset flow canvas associated with each preset node according to the marketing activity number, the marketing time point and the marketing rule text in the activity information of the preset flow canvas for each preset node to obtain a plurality of canvas index nodes associated with the preset flow canvas.

For aperiodic marketing and the description of obtaining the canvas index node, reference may be made to the above description, which is not repeated herein.

And (2.2) calculating to obtain an identification characteristic value corresponding to each canvas index node according to the marketing activity number, the marketing time point and the marketing rule text corresponding to each canvas index node.

Because the activity information of the preset flow canvas associated with each canvas index node is the same, the marketing activity number, the marketing time point and the marketing rule text corresponding to each canvas index node can be understood as the marketing activity number, the marketing time point and the marketing rule text of the preset flow canvas associated with each canvas index node.

403. And comparing the target characteristic value with the identification characteristic values corresponding to the canvas index nodes to obtain a target node with the similarity between the identification characteristic value and the target characteristic value being greater than or equal to a preset threshold value, and taking a preset process canvas associated with the target node as the same type of canvas corresponding to the initial canvas.

The specific size of the preset threshold may be set according to the actual scene requirement, for example, the preset threshold may be set to 100%, that is, in step 403, in order to obtain a target node whose identification characteristic value is equal to the target characteristic value, the preset process canvas associated with the target node is used as the same kind of canvas corresponding to the initial canvas.

After obtaining the same kind of canvas, the electronic device may obtain a marketing audience set of the same kind of canvas, and it should be noted that, because each canvas index node corresponds to one crowd set (explained in step 402), each canvas index node may also be associated with the corresponding crowd set when the canvas index node is constructed, and when obtaining the marketing audience set of the same kind of canvas, the crowd set associated with the target node may be directly obtained as the marketing audience set of the same kind of canvas.

In some embodiments, in order to save storage space, the merchant deletes the expired default flow canvas, and if there is a canvas index node associated with no more default flow canvas after deletion, the canvas index node may be deleted to further save storage space. Referring to fig. 5, at this time, before the step "obtaining a plurality of preset canvas index nodes and an identification feature value corresponding to each of the canvas index nodes", the method further includes:

501. receiving a canvas deletion request, and determining a node to be deleted corresponding to the canvas deletion request in each preset canvas index node and a canvas to be deleted corresponding to the canvas deletion request in a preset flow canvas associated with the node to be deleted.

The canvas delete request refers to a computer request to delete a flow canvas. Illustratively, a merchant may trigger a canvas delete request in the flow canvas tool by clicking on a virtual control for deleting the flow canvas. It can be appreciated that the canvas deletion request should include information of the canvas to be deleted and the canvas index node associated with the canvas to be deleted, i.e., the node to be deleted.

502. And acquiring the canvas quantity of other canvases except the canvas to be deleted in the preset process canvas associated with the node to be deleted.

The purpose of step 502 is to determine whether the node to be deleted is associated with other preset process canvas besides the canvas to be deleted, if the number of the canvases is zero, it indicates that the node to be deleted is only associated with the canvas to be deleted, and if the number of the canvases is not zero, it indicates that the node to be deleted is also associated with other preset process canvas besides the canvas to be deleted.

503. And if the number of the canvas is zero, deleting the nodes to be deleted from the canvas index nodes to obtain the deleted canvas index nodes.

If the number of the canvases is zero, it indicates that after the canvas to be deleted is deleted, the node to be deleted is no longer associated with any other preset process canvas, so that in order to save the storage space, the node to be deleted may be deleted to obtain the canvas index node after deletion, and at this time, if the step 402 is executed, the obtained canvas index nodes refer to the canvas index node after deletion.

In order to better implement the method for generating the flow canvas in the embodiment of the present application, on the basis of the method for generating the flow canvas, an embodiment of the present application further provides a device for generating the flow canvas, as shown in fig. 6, which is an embodiment of the device for generating the flow canvas in the embodiment of the present application, and the device 600 for generating the flow canvas includes:

the generating unit 601 is configured to receive a canvas establishment request and generate an initial canvas, where the initial canvas includes marketing activity information corresponding to the canvas establishment request;

a comparing unit 602, configured to compare the marketing campaign information with campaign information in a preset process canvas, and obtain a similar canvas corresponding to the initial canvas from the preset process canvas;

an obtaining unit 603, configured to obtain a set of marketing audiences associated with the same class of canvas;

an associating unit 604, configured to associate the marketing audience set with the initial canvas to obtain a marketing procedure canvas.

In a possible implementation manner of the present application, the associating unit 604 is further configured to:

In a possible implementation manner of the present application, the comparing unit 602 is further configured to:

for each canvas index node, counting marketing time periods in activity information of each associated preset flow canvas to obtain the shortest time period containing each marketing time period;

In a possible implementation manner of the present application, the comparison unit 602 is further configured to:

In specific implementation, the above units may be implemented as independent entities, or may be combined arbitrarily, and implemented as the same or several entities, and specific implementations of the above units may refer to the foregoing method embodiment, which is not described herein again.

Since the flow canvas generation apparatus may perform the steps in the flow canvas generation method in any embodiment, beneficial effects that can be achieved by the flow canvas generation method in any embodiment of the present application may be achieved, for details, see the foregoing description, and are not described herein again.

In addition, in order to better implement the method for generating the flow canvas in the embodiment of the present application, on the basis of the method for generating the flow canvas, an electronic device is further provided in the embodiment of the present application, referring to fig. 7, fig. 7 shows a schematic structural diagram of the electronic device in the embodiment of the present application, specifically, the electronic device provided in the embodiment of the present application includes a processor 701, and the processor 701 is configured to implement each step of the method for generating the flow canvas in any embodiment when executing the computer program stored in the memory 702; alternatively, the processor 701 is configured to implement the functions of the units in the corresponding embodiment of fig. 6 when executing the computer program stored in the memory 702.

Illustratively, a computer program may be partitioned into one or more modules/units, which are stored in the memory 702 and executed by the processor 701 to implement embodiments of the present application. One or more modules/units may be a series of computer program instruction segments capable of performing certain functions, the instruction segments being used to describe the execution of the computer program in the computer apparatus.

The electronic device may include, but is not limited to, a processor 701, a memory 702. Those skilled in the art will appreciate that the illustrations are merely examples of electronic devices and are not meant to be limiting, and may include more or fewer components than those shown, or some components may be combined, or different components.

The Processor 701 may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic, discrete hardware components, etc. The general purpose processor may be a microprocessor or the processor may be any conventional processor or the like, the processor being the control center for the electronic device and various interfaces and lines connecting the various parts of the overall electronic device.

The memory 702 may be used to store computer programs and/or modules, and the processor 701 may implement various functions of the computer apparatus by running or executing the computer programs and/or modules stored in the memory 702 and invoking data stored in the memory 702. The memory 702 may mainly include a program storage area and a data storage area, wherein the program storage area may store an operating system, application programs (such as a sound playing function, an image playing function, etc.) required by at least one function, and the like; the storage data area may store data (such as audio data, video data, etc.) created according to the use of the electronic device, and the like. In addition, the memory may include high-speed random access memory, and may also include non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), at least one magnetic disk storage device, a Flash memory device, or other volatile solid state storage device.

It can be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described flow canvas generation apparatus, the electronic device and the corresponding units thereof may refer to the description of the flow canvas generation method in any embodiment, and are not described herein again in detail.

It will be understood by those skilled in the art that all or part of the steps in the methods of the above embodiments may be performed by instructions or by instructions controlling associated hardware, and the instructions may be stored in a storage medium and loaded and executed by a processor.

For this reason, a storage medium is provided in an embodiment of the present application, where a computer program is stored on the storage medium, and when the computer program is executed by a processor, the steps in the process canvas generation method in any embodiment of the present application are executed, and specific operations may refer to descriptions of the process canvas generation method in any embodiment, which are not described herein again.

Wherein the storage medium may include: a Read Only Memory (ROM), a Random Access Memory (RAM), a magnetic or optical disk, and the like.

Because the instructions stored in the storage medium can execute the steps in the process canvas generation method in any embodiment of the present application, the beneficial effects that can be achieved by the process canvas generation method in any embodiment of the present application can be achieved, which are described in detail in the foregoing description and will not be described herein again.

The method, the apparatus, the storage medium, and the electronic device for generating the flow canvas provided in the embodiments of the present application are described in detail above, and specific examples are applied in the present application to explain the principles and embodiments of the present application, and the description of the embodiments above is only used to help understanding the method and the core idea of the present application; meanwhile, for those skilled in the art, according to the idea of the present application, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present application.

Claims

1. A method for generating a process canvas is characterized by comprising the following steps:

acquiring a marketing audience set associated with the same type of canvas;

2. The process canvas generation method of claim 1, wherein associating the marketing audience set with the initial canvas further comprises, after obtaining a marketing process canvas:

3. The process canvas generation method according to claim 1 or 2, wherein the comparing the marketing campaign information with the campaign information in a preset process canvas to obtain the same class of canvas corresponding to the initial canvas from the preset process canvas comprises:

4. The method for generating the process canvas according to claim 3, wherein before the obtaining the plurality of preset canvas index nodes and the identification feature value corresponding to each canvas index node, the method further comprises:

5. The method for generating the process canvas according to claim 4, wherein the determining, for each canvas index node, the target time period corresponding to each canvas index node according to the marketing time period in the activity information of each associated preset process canvas comprises:

6. The process canvas generation method of claim 4, wherein after the obtaining the preset process canvas and the marketing time category of the preset process canvas, further comprising:

7. The method for generating the process canvas according to claim 3, wherein before the obtaining the plurality of preset canvas index nodes and the identification feature value corresponding to each canvas index node, the method further comprises:

8. A flow canvas generation apparatus, comprising:

and the association unit is used for associating the marketing audience set with the initial canvas to obtain a marketing process canvas.

9. An electronic device comprising a processor, a memory, and a computer program stored in the memory and executable on the processor, the processor implementing the steps in the process canvas generation method according to any one of claims 1 to 7 when executing the computer program.

10. A storage medium having stored thereon a computer program which, when executed by a processor, carries out the steps of the process canvas generation method according to any one of claims 1 to 7.