CN117829912A

CN117829912A - Data processing method, device, electronic equipment and storage medium

Info

Publication number: CN117829912A
Application number: CN202211165068.6A
Authority: CN
Inventors: 肖怡雯
Original assignee: Tencent Technology Beijing Co Ltd
Current assignee: Tencent Technology Beijing Co Ltd
Priority date: 2022-09-23
Filing date: 2022-09-23
Publication date: 2024-04-05

Abstract

The embodiment of the application discloses a data processing method, a data processing device, electronic equipment and a storage medium; comprising the following steps: in a preset time period, multimedia resources are sent to a preset number of users, the starting time point of the preset time period is a first time node, the ending time point is a second time node, and the multimedia resources contain the content of preset products; when a first time node is acquired, each user aims at a first object behavior of a preset product; determining a first user level corresponding to the first object behavior of each user; when obtaining attribution time nodes, each user acts on a second object of a preset product, wherein the attribution time nodes are time points after a preset attribution period is delayed from the second time nodes; determining a second user hierarchy corresponding to a second object behavior of each user; comparing the level changes of the first user level and the second user level of the preset number of users, and displaying in a preset interface. The embodiment of the application can more comprehensively evaluate the sending value of the multimedia resource.

Description

Data processing method, device, electronic equipment and storage medium

Technical Field

The present disclosure relates to the field of computers, and in particular, to a data processing method, apparatus, electronic device, and storage medium.

Background

In the prior art, when evaluating the putting value of a certain brand of advertisement, the evaluation is usually performed according to the instant return on investment (Return On Investment, abbreviated as ROI) after the putting of the certain brand of advertisement. For example, the placement value of a brand advertisement may be assessed by the amount of play a consumer generates in the placement of that brand advertisement.

In the prior art, the problem of single evaluation dimension of the putting value of the advertisement exists.

Disclosure of Invention

The embodiment of the application provides a data processing method, a data processing device, electronic equipment and a storage medium, which can solve the problem that in the prior art, the evaluation dimension of the putting value of advertisements is single.

The embodiment of the application provides a data processing method, which comprises the following steps: transmitting multimedia resources to a preset number of users in a preset time period, wherein the starting time point of the preset time period is a first time node, the ending time point is a second time node, and the multimedia resources contain the content of preset products; when the first time node is obtained, each user aims at a first object behavior of the preset product, wherein the first object behavior reflects a first interested degree of the user on the preset product at the first time node; determining a first user level corresponding to a first object behavior of each user, wherein the first user level is a section in which the first interest degree is located; when obtaining attribution time nodes, each user aims at second object behaviors of the preset products, wherein the attribution time nodes are time points after a preset attribution period is delayed from the second time nodes, and the second object behaviors reflect second interest degrees of the users on the preset products at the attribution time nodes; determining a second user level corresponding to a second object behavior of each user, wherein the second user level is a section in which the second interest degree is located; comparing the level changes of the first user level and the second user level of the preset number of users, and displaying the level changes on a preset interface.

The embodiment of the application also provides a data processing device, which comprises:

the multimedia resource transmission unit is used for transmitting multimedia resources to a preset number of users in a preset time period, wherein the starting time point of the preset time period is a first time node, the ending time point is a second time node, and the multimedia resources contain the content of preset products;

a first behavior acquisition unit, configured to acquire, when the first time node is set, a first object behavior of each user for the preset product, where the first object behavior reflects a first interest degree of the user for the preset product at the first time node;

the first hierarchy determining unit is used for determining a first user hierarchy corresponding to the first object behaviors of each user, wherein the first user hierarchy is a section in which the first interest degree is located;

a second behavior acquisition unit configured to acquire, when attributing to a time node, a second object behavior of each user with respect to the preset product, wherein the attributing to the time node is a time point after a delay of one preset attribution period from the second time node, and the second object behavior reflects a second degree of interest of the user in the preset product at the attributing to the time node;

A second hierarchy determining unit, configured to determine a second user hierarchy corresponding to a second object behavior of each user, where the second user hierarchy is a section where the second interest degree is located;

the hierarchy change comparison unit is used for comparing the hierarchy changes of the first user hierarchy and the second user hierarchy of the preset number of users and displaying the hierarchy changes on a preset interface.

In some embodiments, the first behavior obtaining unit is specifically configured to obtain, at the first time node, a first object behavior that is executed by each of the users in the first number of sub-applications.

In some embodiments, each of the users has a second number of identities in the first number of sub-applications; correspondingly, the first behavior acquisition unit comprises:

an identity determination subunit, configured to determine, for each of the users, a uniform identity from the second number of identities;

a first behavior acquisition subunit, configured to acquire a first object behavior executed by the user in a sub-application program corresponding to the uniform identity;

and the identity mark modification subunit is used for modifying the set identity mark into the unified identity mark according to the identity mark mapping relation when the set identity mark of one sub-application program exists in the first number of sub-application programs and is not the unified identity mark, and the sub-application program corresponds to the first object behavior executed by the user, and recording the first object behavior corresponding to the sub-application program and executed by the user.

In some embodiments, the first hierarchy determining unit includes:

a sub-program obtaining subunit, configured to obtain, for each of the users, a plurality of first object behaviors that are executed by the user in the first number of sub-applications;

the hierarchy acquisition subunit is used for acquiring the user hierarchies respectively corresponding to the plurality of first object behaviors according to the mapping relation between the object behaviors and the user hierarchies;

and the high-level selecting subunit is used for selecting a user level with the highest level number from a plurality of user levels, wherein the user level with the highest level number is the first user level of the user.

In some embodiments, the second behavior acquisition unit is specifically configured to acquire, at the attribution time node, a second object behavior executed by each of the users in the third number of sub-applications.

In some embodiments, each of the users has a fourth number of identities in the third number of sub-applications; correspondingly, the second behavior acquisition unit includes:

an identification statistics subunit, configured to determine, for each user, a uniform identity from the fourth number of identities;

A second behavior subunit, configured to obtain a second object behavior executed by the user in a sub-application corresponding to the uniform identity;

and the identity modification subunit is used for modifying the set identity identifier into the unified identity identifier according to the identity identifier mapping relation when the set identity identifier of one sub-application program exists in the third number of sub-application programs and is not the unified identity identifier, and the sub-application program corresponds to the second object behavior executed by the user, and recording the second object behavior executed by the user and corresponding to the sub-application program.

In some embodiments, the second hierarchy determining unit includes:

a sub-program execution sub-unit, configured to obtain, for each of the users, a plurality of second object behaviors executed by the user in the third number of sub-applications;

a second-level subunit, configured to obtain user levels corresponding to the plurality of second object behaviors respectively according to a mapping relationship between the object behaviors and the user levels;

and the second high-level selecting subunit is used for selecting a user level with the highest level from a plurality of user levels, wherein the user level with the highest level is the second user level of the user.

In some embodiments, the apparatus further comprises:

the hierarchical division unit is used for obtaining a target user group corresponding to a preset time node, and performing hierarchical division on the target user group to obtain a plurality of user hierarchies corresponding to the target user group;

the circulation efficiency calculation unit is used for calculating circulation efficiency of each user level corresponding to the target user group;

the target hierarchy determining unit is configured to determine, from a plurality of user hierarchies corresponding to the target user group, a target user hierarchy whose circulation efficiency meets a preset requirement, where a user corresponding to the target user hierarchy is a user to be sent by the multimedia resource.

In some embodiments, the hierarchical partitioning unit includes:

a target user subunit, configured to obtain, in a preset historical time period earlier than the preset time node, a plurality of target users sent by the multimedia resource, where the plurality of target users form the target user group;

a target behavior subunit, configured to obtain an object behavior of each target user for the preset product;

and the target level subunit is used for determining the user level of each target user according to the mapping relation between the object behaviors and the user level and the object behaviors of each target user.

In some embodiments, the flow efficiency comprises a flow rate; correspondingly, the circulation efficiency calculating unit comprises:

the circulation ratio subunit is used for acquiring the circulation ratio of the number of people flowing to the current user level from the low user level to the initial number of people from the low user level in the target historical time period for each user level;

a first circulation rate subunit, configured to, when the circulation ratio is one, set the circulation ratio to be the circulation rate of the current user level;

and the second circulation rate subunit is used for calculating the summation of the plurality of circulation rate values when the circulation rate values are a plurality of, wherein the summation is the circulation rate of the current user level.

In some embodiments, the flow efficiency comprises flow cost performance; correspondingly, the circulation efficiency calculating unit further comprises:

a transaction total sub-unit, configured to obtain, for each user level, a commodity transaction total generated by the current user level in a target historical time period;

a budget obtaining subunit, configured to obtain a multimedia resource budget corresponding to the current user level;

and the ratio calculating subunit is used for calculating the ratio of the commodity transaction total sum to the multimedia resource budget, wherein the ratio is the flow cost performance of the current user level.

In some embodiments, the flow efficiency includes a flow rate and a flow cost performance; correspondingly, the target level determining unit is specifically configured to: and determining a target user level, in which the flow rate meets a first preset requirement and the flow cost performance meets a second preset requirement, from a plurality of user levels corresponding to the target user group.

In the data processing method provided by the embodiment of the application, the multimedia resources including the preset product can be sent to the preset number of users in the preset time period starting from the first time node and ending from the second time node. Then acquiring a first time node, and determining a first user level corresponding to each user by each user on a first object behavior of a preset product; and acquiring attribution time nodes, namely second object behaviors of each user on preset products, and further determining a second user level corresponding to each user, wherein the attribution time nodes are time points after delaying one preset attribution period from the second time nodes. And comparing the hierarchy changes between the first user hierarchy and the second user hierarchy of the preset number of users, and displaying the hierarchy changes.

The present embodiments focus on: the same batch of users aim at the change of the user level of the preset product instead of the instant ROI before and after being sent to the multimedia resource containing the preset product; therefore, the embodiment of the application can evaluate the sending value of the multimedia resource more comprehensively, so that the sending process of the multimedia resource can be adjusted according to the sending value, the maximum utilization of the resource is realized as much as possible, and the cost is saved.

Drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed in the description of the embodiments will be briefly introduced below, it being obvious that the drawings in the following description are only some embodiments of the present application, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.

Fig. 1a is a schematic view of a scenario of a data processing method according to an embodiment of the present application;

FIG. 1b is a flow chart of a data processing method according to an embodiment of the present application;

FIG. 1c shows a schematic diagram of a user-level classification model provided by an embodiment of the present application;

FIG. 1d shows a block flow diagram for visually displaying actual persons corresponding to each user level per day;

FIG. 1e shows a schematic of the circulation rate of cosmetic brand L over a certain historical promotion period;

FIG. 2 is a flow chart of a data processing method according to another embodiment of the present application;

FIG. 3 is a schematic diagram of a data processing apparatus according to an embodiment of the present application;

fig. 4 is a schematic structural diagram of an electronic device according to an embodiment of the present application.

Detailed Description

The following description of the embodiments of the present application will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are only some, but not all, of the embodiments of the present application. All other embodiments, which can be made by those skilled in the art based on the embodiments herein without making any inventive effort, are intended to be within the scope of the present application.

The embodiment of the application provides a data processing method, a data processing device, electronic equipment and a storage medium.

The data processing device may be integrated in an electronic device, which may be a terminal, a server, or other devices. The terminal may be a mobile phone, a tablet computer, an intelligent bluetooth device, a notebook computer, or a personal computer (Personal Computer, PC), and in some embodiments, the server may be a single server, or may be a server cluster formed by multiple servers.

In some embodiments, the data processing apparatus may also be integrated in a plurality of electronic devices, for example, the data processing apparatus may be integrated in a plurality of servers, and the data processing method of the present application is implemented by the plurality of servers.

In some embodiments, the server may also be implemented in the form of a terminal.

For example, the electronic device may perform the following method: transmitting multimedia resources to a preset number of users in a preset time period, wherein the starting time point of the preset time period is a first time node, the ending time point is a second time node, and the multimedia resources contain the content of preset products; when the first time node is obtained, each user aims at a first object behavior of the preset product, wherein the first object behavior reflects a first interested degree of the user on the preset product at the first time node; determining a first user level corresponding to a first object behavior of each user, wherein the first user level is a section in which the first interest degree is located; when obtaining attribution time nodes, each user aims at second object behaviors of the preset products, wherein the attribution time nodes are time points after a preset attribution period is delayed from the second time nodes, and the second object behaviors reflect second interest degrees of the users on the preset products at the attribution time nodes; determining a second user level corresponding to a second object behavior of each user, wherein the second user level is a section in which the second interest degree is located; comparing the level changes of the first user level and the second user level of the preset number of users, and displaying the level changes on a preset interface.

For details, please refer to fig. 1a, the preset number may be m, where m is a positive integer. And in a preset time period starting from the first time node and ending from the second time node, the method comprises the steps of: user 1, user 2, … user m all send multimedia assets containing preset products.

Then, for the first time node, acquiring a first object behavior of each user of the m users on a preset product: first object behavior 1 of user 1 on preset product, first object behavior 2, … of user 2 on preset product, and first object behavior m of user m on preset product; and further determining a first user level corresponding to each user: first user tier 1 corresponding to first object behavior 1, first user tier 2, … corresponding to first object behavior 2, and first user tier m corresponding to first object behavior m.

For acquiring attribution time nodes, acquiring second object behaviors of each user of m users on preset products: second object behaviors 1 of the user 1 on the preset product, second object behaviors 2, … of the user 2 on the preset product and second object behaviors m of the user m on the preset product; and further determining a second user hierarchy corresponding to each user: a second user tier 1 corresponding to the second object behavior 1, second user tiers 2, … corresponding to the second object behavior 2, and a second user tier m corresponding to the second object behavior m. Wherein the attribution time node is a time point after a preset attribution period is delayed from the second time node.

For m users, comparing the level change between the m first user levels and the m second user levels, and showing the level change of the m users, see fig. 1a for details.

The above steps focus on the focus: the same batch of users changes in user level for the preset product instead of the instant ROI before and after being sent to the multimedia resource containing the preset product; therefore, the above steps can more comprehensively evaluate the transmission value of the multimedia resource than the conventional method.

The following will describe in detail. The numbers of the following examples are not intended to limit the preferred order of the examples.

In this embodiment, as shown in fig. 1b, a data processing method is provided, where the data processing method is applied to an electronic device, and a specific flow of the method may include the following steps 110 to 160:

110. and transmitting the multimedia resources to a preset number of users in a preset time period.

The starting time point of the preset time period is a first time node, and the ending time point is a second time node. The second time node is a time later than the first time node. The first time node and the second time node may be different times of the same date, that is, represent: the preset time period occurs within one day and the time length is less than 24 hours; for example, if the first time node is 2022, 9, 10, 12, and the second time node is 2022, 9, 10, 20, then the preset time period is 2022, 9, 10, 12, to eight hours of the same 20.

The first time node and the second time node may also be time nodes with different dates, namely, the time nodes represent: the time length of the preset time period is longer than a natural day; for example, if the first time node is 2022, 9, 1, 0, and the second time node is 2022, 9, 6, 0, then the preset time period is 2022, 9, 1, 0, to 2022, 9, 6, 0, and 5 natural days.

The preset number is a preset value, and the preset number of users can be selected randomly or can be selected according to the object behaviors executed by the users, for example, if the users execute the behaviors related to the preset product, the users can be selected as one of the preset number of users. It should be understood that the specific numerical values of the preset number and the manner in which the preset number of users are determined should not be construed as limiting the present application.

The multimedia resource contains the content of the preset product. Optionally, the multimedia resource may be a text, a picture, a video or an audio resource that plays a role in promoting a preset product; the preset product can be any product under a certain brand flag promoted and promoted by the multimedia resource.

Alternatively, in a specific embodiment, the multimedia resource may be transmitted to a preset number of users according to a transmission time period of the multimedia resource. The period duration of the transmission time period may be the same as the time length of the preset time period, that is, the multimedia resource may be transmitted to a preset number of users once in the preset time period; the period duration of the transmission time period may also be shorter than the time length of the preset time period, that is, the multimedia resources may be transmitted to the preset number of users in the preset time period, where the transmission of the adjacent two multimedia resources is separated by one transmission time period. The multimedia resources can be different contents playing a promotion effect on the same preset product, or the same contents playing a promotion effect on the same preset product. The specific way of sending the multimedia resource to the user may be: and acquiring the account information of the user, and pushing the multimedia resource to the account information of the user.

120. And when the first time node is acquired, each user aims at the first object behavior of the preset product.

The first object behavior is used for reflecting the interest degree of the user on the preset product at the first time node, and the interest degree can be recorded as a first interest degree. The first object behavior may be a behavior related to a preset product being performed by the user when the first time node is present; the first object behavior may also be a behavior related to a preset product, which has been performed by the user, up to the first time node.

Optionally, the first object behavior includes, but is not limited to: browsing multimedia resources containing the content of the preset product, clicking the multimedia resources, browsing, collecting or sharing the purchasing link of the preset product, adding the preset product into a shopping cart, ordering or paying the preset product, and the like.

Optionally, step 120 may specifically include: and at the first time node, acquiring first object behaviors executed by each user in a first number of sub-applications.

The first number is a positive integer and the particular value of the first number should not be construed as limiting the application. The sub application is an application program in the main application program for realizing a branch function different from the main function, the main application program is an application program for receiving the multimedia resource by the user, and the main function is a main function of the main application program. For example, if the main application a is a communication service application, the main function of the main application a is a communication service, and the main application a is a branch function different from the main function, for example: the image-text display function, the communication friend dynamic display function, the video display function, the third-party applet use function, the multimedia resource display function and the like can be realized by the respective corresponding sub-application programs. For example, the graphic display function may be implemented by the sub-application a, the communication friend dynamic display function may be implemented by the sub-application b, the video display function may be implemented by the sub-application c, the third-party applet 1 may be implemented by the sub-application d1, the third-party applet 2 may be implemented by the sub-application d2, and the … multimedia resource display function may be implemented by the sub-application e.

Optionally, each user has a second number of identities in the first number of sub-applications. Accordingly, the step of "obtaining the first object behavior executed by each of the users in the first number of sub-applications" may specifically include the following steps A1 to A3:

a1, for each user, determining a unified identity from the second number of identities.

The second number is a positive integer. The second number may be equal to the first number, namely: the user has identity marks in each sub-application program, and the identity marks of the same user in every two sub-application programs are different. The second number may also be smaller than the first number, i.e.: the user has identity marks in each sub-application program, and the identity marks of the same user in at least two sub-application programs are the same; for example, the identity of the same user in the sub-application a and the sub-application b may be the same. It should be understood that the second number, provided that it does not exceed the first number, should not be construed as limiting the application.

The unified identity is the identity corresponding to the sub-application program which meets the set condition in the second number of identities. Optionally, the unified identity may be an identity corresponding to a sub-application used at a highest frequency in the second number of identities; or the identification corresponding to the sub-application program with the most commercial value can be judged by the staff in the second number of identification. It should be understood that the specific condition content of the set condition should not be construed as limiting the present application. Because each user has the second number of identities in the first number of sub-applications corresponding to the main application, in order to more comprehensively count the object behaviors of the user in the first number of sub-applications, the unified identity can be determined from the second number of identities.

Continuing with the above example, any one of a predetermined number of users may be set: the identity of the user X corresponding to the sub-application program d1 is open d1, the identity corresponding to the sub-application program d2 is open d2, the identity corresponding to the sub-application program a is unionid a, and the identity corresponding to the sub-application program e is wuid e. The identity wuid e may be used as a uniform identity for the user X.

A2, acquiring a first object behavior executed by the user in the sub-application program corresponding to the unified identity.

A3, if the set identity of one sub-application program exists in the first number of sub-application programs and is not the uniform identity, and the sub-application program corresponds to the first object behavior executed by the user, modifying the set identity into the uniform identity according to the identity mapping relation, and recording the first object behavior corresponding to the sub-application program and executed by the user.

The first object behavior performed by the user may be spread across different sub-applications. Therefore, the first object behaviors of the same user scattered in different sub-application programs can be summarized, so that the interested degree of the user in the preset product can be obtained more comprehensively and accurately.

Alternatively, the specific way to aggregate the first object behaviors of the same user scattered in different sub-applications may be:

continuing the above example, for the sub-application program e corresponding to the unified identity, acquiring and recording the unified identity wuid e of the user and the first object behavior e executed by the user in the sub-application program e;

for the sub-application program d1 corresponding to the non-uniform identity, according to the identity mapping relation, acquiring a uniform identity wuid e corresponding to the set identity opening d1 of the sub-application program d1, and recording the uniform identity wuid e of the user and the first object behavior d1 executed by the user in the sub-application program d1. It should be understood that the sub-application d1 is an exemplary illustration of a sub-application corresponding to a non-uniform identity, and the sub-application corresponding to a non-uniform identity may also be other sub-applications, such as the sub-application d2, the sub-application a, etc.

130. And determining a first user hierarchy corresponding to the first object behaviors of each user.

The first user hierarchy is an interval in which the user is located at a first time node, and the degree of interest (i.e., the first degree of interest) of the preset product. The object behavior and the user hierarchy have a preset corresponding relation. Optionally, in one embodiment, the correspondence between the object behavior and the user hierarchy may be:

Five levels can be divided according to the order of the user's interest level in the preset product from low to high: the first user hierarchy, the second user hierarchy, the third user hierarchy, the fourth user hierarchy, and the fifth user hierarchy are denoted as R1, R2, R3, R4, and R5, respectively. For details, refer to fig. 1c, R1, R2, R3, R4, and R5 may be respectively named: user reach, shallow interaction, deep touch, conversion behavior, and repurchase behavior.

The object behavior corresponding to R1 may include: the user's behavior of browsing the code associated with the preset product (i.e., browsing the code associated with the preset product shown in fig. 1 c), the user's behavior of browsing the communication code associated with the preset product (i.e., browsing the communication code shown in fig. 1 c), etc.

Wherein the band parameter code is an identification code with parameters; if the user scans the code with the parameter, the user can jump to a certain page or image-text of the applet related to the preset product. The code with the parameter can be a two-dimensional code or a bar code. The code with the parameter can be displayed together with the image-text display function, for example, the code with the parameter is arranged in the sub-application program a in the form of a patch advertisement; the code with the parameter can also be displayed along with the dynamic display function of the communication friends, for example, the code with the parameter is arranged between two adjacent friend dynamics shown by the sub-application program b; the tape-code may also be presented along with third party applet usage functions, such as setting the tape-code to the blank interface of sub-application d 1. The particular form of presentation with reference code should not be construed as limiting the present application.

The communication code can be associated with a brand chat group related to a preset product, and can also be associated with a one-to-one chat window. If the user scans the communication code, the user can join the brand chat group or add shopping guides as friends so as to associate one-to-one chat windows. The display mode of the communication code can be the same as the display mode with the reference code, and the description is omitted here.

The object behavior corresponding to R2 may include: the user scans the code with the parameter related to the preset product and jumps to a certain product introduction page or product introduction image-text of the applet related to the preset product (namely, the scanned code with the parameter shown in fig. 1 c); the user scans the communication code related to the preset product, adds the brand chat group or adds the behavior that the shopping guide is a friend (namely, the scanning communication code shown in the figure 1 c); the user's behavior of browsing the commodity links related to the preset product (i.e., browsing the commodity links shown in fig. 1 c); the act of the user sharing the communication code associated with the preset product to other users (i.e., the shared communication code shown in fig. 1 c), etc.

The merchandise links may be sent by the shopper within a branded chat group or one-to-one chat window associated with the preset product for presentation to the user. It should be understood that the specific presentation of the commodity link should not be construed as limiting the present application.

The object behavior corresponding to R3 may include: the user clicks on the commodity link related to the preset product, and jumps to the behavior of the purchase interface of the preset product (i.e., clicking on the commodity link shown in fig. 1 c); in the purchase interface of the preset product, the user browses, collects, prays, adds shopping carts and other actions on the preset product (namely, browsing the preset product, collecting the preset product, praying the preset product, adding the preset product shown in fig. 1 c); the user registers an action of becoming a brand member of a brand to which a preset product belongs (i.e., becoming a brand member shown in fig. 1 c); the act of the user sharing the merchandise links associated with the preset product to other users (i.e., sharing the merchandise links shown in fig. 1 c), etc.

The purchase interface of the preset product can be an applet related to the preset product, or can be a fifth version (Hyper Text Markup Language, abbreviated as H5) page of the hypertext markup language built by the merchant. The specific presentation form of the purchase interface should not be construed as limiting the application.

The object behavior corresponding to R4 may include: the next line of the preset product by the user (i.e., the preset product of the order shown in fig. 1 c), the payment transaction of the preset product by the user (i.e., the preset product of the payment shown in fig. 1 c), etc.

The users in the R4 hierarchy may be users who have performed the actions in the R3 hierarchy, users who have joined a brand chat group, or users who have added shopping guides as friends, or users who have not performed the actions in the R3 hierarchy, have not joined a brand chat group, and have not added shopping guides as friends.

The object behavior corresponding to R5 may include: the act of placing a preset number of orders for a preset product within a preset history period of time is not less than a preset number threshold (i.e., the repurchase preset product shown in fig. 1 c).

The specific length of time for which the historical time period is preset should not be construed as limiting the present application; the specific values of the preset number of thresholds should not be construed as limiting the present application as well.

Optionally, in addition to the object behaviors corresponding to R5 having the backtracking periods (i.e., the preset history period), the object behaviors corresponding to R1, R2, R3, and R4 may also have respective backtracking periods. For details, referring to fig. 1c, for example, the backtracking period corresponding to R1 may be 15 days, the backtracking period corresponding to R2 may be 15 days, the backtracking period corresponding to R3 may be 1 year, and the backtracking period corresponding to R4 may be 10 years (not shown). The object behaviors corresponding to R1, R2, R3, and R4 may not have the backtracking period, for example, the object behavior corresponding to R4 may not be limited by the backtracking period, as shown in fig. 1 c. It should be understood that whether the object behaviors corresponding to R1, R2, R3, and R4 have a backtracking period, and if the backtracking period is provided, the specific duration of the backtracking period should not be construed as limiting the application.

Alternatively, in a specific embodiment, step 130 may specifically include the following steps 131 to 133:

131. for each of the users, a plurality of first object behaviors performed by the user at the first number of sub-applications are obtained.

Since each user may perform a plurality of first object behaviors and the plurality of first object behaviors may be dispersed in the first number of sub-applications, a plurality of first object behaviors corresponding to each user may be acquired.

132. And acquiring the user levels respectively corresponding to the plurality of first object behaviors according to the mapping relation between the object behaviors and the user levels.

The mapping relationship between the object behaviors and the user levels may be a many-to-one mapping relationship, i.e. one user level may include a plurality of object behaviors, and one object behavior belongs to only one user level, and for details, please refer to fig. 1c. The user hierarchy corresponding to each of the plurality of first object behaviors may be obtained based on a mapping relationship between the object behaviors and the user hierarchy. I.e. one user corresponds to a plurality of user levels at this time.

133. And selecting a user hierarchy with the highest level from a plurality of user hierarchies, wherein the user hierarchy with the highest level is the first user hierarchy of the user.

For a plurality of user hierarchies corresponding to a user, a user hierarchy with the highest hierarchy level can be selected from the plurality of user hierarchies, and the user hierarchy with the highest hierarchy level is used as a first user hierarchy of the user. For example, it is not uncommon for three first object behaviors of a user to correspond to three user levels, respectively: r3, R2 and R4. The first user level of the user may be determined to be R4, three user levels: the highest ranking user level among R3, R2 and R4.

In the above embodiment, the user hierarchy with the highest level is used as the first user hierarchy of the corresponding user, so that the user hierarchy to which the user belongs can be more accurately divided, and further the subsequent comparison result is more real.

140. And when the attribution time node is acquired, each user aims at the second object behavior of the preset product.

Wherein the attribution time node is a time point after a preset attribution period is delayed from the second time node. The preset attribution period is as follows: waiting for a period of time for the user to react to the preset product based on the multimedia resource, wherein the user reacting to the preset product may specifically be performing a targeted action. The preset attribution period may be set to 7 days, or may be set to other time such as 15 days. It should be understood that the specific length of time of the preset attribution period should not be construed as limiting the present application.

The second object behavior reflects the user's degree of interest in the preset product at the attribution time node, which is noted as a second degree of interest. The second object behavior may be a behavior related to a preset product being performed by the user while attributing to the time node; the second object behavior may also be a behavior related to a preset product that has been performed by the user up to the attribution time node. The behavior content of the second object behavior may be shown in a column of the object behaviors in fig. 1c, which is not described herein.

Optionally, step 140 may specifically include: and acquiring second object behaviors executed by each user in a third number of sub-applications at the attribution time node.

The third number is a positive integer and the particular value of the third number should not be construed as limiting the application.

Optionally, each user has a fourth number of identities in the third number of sub-applications. Accordingly, the step of "obtaining the second object behaviors executed by each of the users in the third number of sub-applications" includes the following steps B1 to B3:

b1, for each user, determining a unified identity from the fourth number of identities.

The fourth number is a positive integer. The fourth number may be equal to the third number, namely: the user has identity marks in each sub-application program, and the identity marks of the same user in every two sub-application programs are different. The fourth number may also be smaller than the third number, namely: the user has identity marks in each sub-application program, and the identity marks of the same user in at least two sub-application programs are the same; for example, the identity of the same user in the sub-application a and the sub-application b may be the same. It is to be understood that the fourth number, provided that it does not exceed the third number, should not be construed as limiting the present application.

And B2, acquiring a second object behavior executed by the user in the sub-application program corresponding to the unified identity.

And B3, if the set identity of one sub-application program in the third number of sub-application programs is not the uniform identity and the sub-application program corresponds to the second object behavior executed by the user, modifying the set identity into the uniform identity according to the identity mapping relation and recording the second object behavior corresponding to the sub-application program and executed by the user.

The second object behavior performed by the user may be spread across different sub-applications. Therefore, the second object behaviors of the same user scattered in different sub-application programs can be summarized, and the interested degree of the user in the preset product can be obtained more comprehensively and accurately.

Alternatively, the specific way to aggregate the second object behaviors of the same user scattered in different sub-applications may be:

continuing the above example, for the sub-application program e corresponding to the unified identity, acquiring and recording the unified identity wuid e of the user and the second object behavior e executed by the user in the sub-application program e;

for the sub-application program d1 corresponding to the non-uniform identity, according to the identity mapping relation, acquiring a uniform identity wuid e corresponding to the set identity opening d1 of the sub-application program d1, and recording the uniform identity wuid e of the user and a second object behavior d1 executed by the user in the sub-application program d1. It should be understood that the sub-application d1 is an exemplary illustration of a sub-application corresponding to a non-uniform identity, and the sub-application corresponding to a non-uniform identity may also be other sub-applications, such as the sub-application d2, the sub-application a, etc.

150. And determining a second user hierarchy corresponding to the second object behaviors of each user.

The second user hierarchy is the interval in which the user is located at the level of interest (i.e., the second level of interest) in the preset product due to the time node. Details of the preset correspondence between the object behavior and the user hierarchy are shown in fig. 1c, and will not be described herein.

Alternatively, in a specific embodiment, step 150 may specifically include the following steps 151 to 153:

151. for each of the users, a plurality of second object behaviors performed by the user at the third number of sub-applications are obtained.

Since each user can execute a plurality of second object behaviors and the plurality of second object behaviors can be dispersed in the third number of sub-applications, a plurality of second object behaviors corresponding to each user can be acquired.

152. And acquiring the user levels respectively corresponding to the plurality of second object behaviors according to the mapping relation between the object behaviors and the user levels.

The user hierarchy to which the plurality of second object behaviors respectively correspond may be obtained based on a mapping relationship between the object behaviors and the user hierarchy. I.e. one user corresponds to a plurality of user levels at this time.

153. And selecting a user hierarchy with the highest level from a plurality of user hierarchies, wherein the user hierarchy with the highest level is the second user hierarchy of the user.

For a plurality of user hierarchies corresponding to a user, a user hierarchy with the highest hierarchy level can be selected from the plurality of user hierarchies, and the user hierarchy with the highest hierarchy level is used as a second user hierarchy of the user. For example, it is not uncommon for three second object behaviors of a user to correspond to three user levels, respectively: r5, R2 and R4. The second user level of the user may be determined to be R5, three user levels: the highest ranking user level among R5, R2 and R4.

In the embodiment, the user hierarchy with the highest level is used as the second user hierarchy of the corresponding user, so that the change condition of the user hierarchy of the same user at the first time node and the attribution time node can be reflected more intuitively and accurately, and the subsequent comparison process is facilitated.

160. Comparing the level changes of the first user level and the second user level of the preset number of users, and displaying the level changes on a preset interface. The preset interface is a preset interface for displaying the level change result, and the interface can be a webpage interface, an interface in an application program or an applet, or a popup window of the application program. It should be understood that the specific form of the preset interface should not be construed as limiting the present application.

The embodiment of the application is shown by the following steps: before and after the same batch of users are sent to the multimedia resource containing the preset product, the batch of users can evaluate the sending value of the multimedia resource more comprehensively aiming at the change of the user level of the preset product (namely, the level change of the first user level and the second user level of the same batch of users). The evaluation result can be used for guiding the sending strategy of the next multimedia resource of the merchant corresponding to the preset product: if the evaluation result shows that the sending value of the current multimedia resource is higher, the merchant corresponding to the preset product can still adopt the sending strategy of the current multimedia resource when sending the next multimedia resource. If the evaluation result shows that the sending value of the current multimedia resource is lower, a merchant corresponding to the preset product can adopt a sending strategy different from the sending strategy of the current multimedia resource when sending the next multimedia resource.

It should be understood that, in addition to the effect evaluation of the ongoing transmission activities of the multimedia resources, the foregoing steps 110 to 160 may also perform the effect evaluation of the transmission activities of the multimedia resources that have been performed in the history, so as to select the transmission activity of the multimedia resource with better effect from the transmission activities of the multimedia resources that have been performed in the history, so as to be used again.

In addition to displaying the level change of the preset number of users, the embodiment of the application can continuously pay attention to the consumption condition of the preset number of users for the preset product in the subsequent sales promotion activities, and can also serve as an index for evaluating the sending value of the multimedia resource according to the consumption increment of the preset product in the subsequent sales promotion activities.

Optionally, in a specific implementation manner, the embodiment of the application may further show the actual number of people at each user level every day in a period of time from the first time node to the attribution time node. Specifically, the actual number of people per day at each user level can be calculated by the SQL function.

Optionally, referring to fig. 1d for details, on a day in a time period from the first time node to the attribution time node, the object behaviors performed by a preset number of users on a previous day are acquired. The object behaviors divided into the R1 level and the R2 level may be from logs corresponding to the multimedia resource presentation function, and the object behaviors divided into the R3 to R5 levels may be from logs corresponding to the third party applet use function.

After a plurality of object behaviors executed by a preset number of users are obtained, the plurality of object behaviors executed by each user can be determined according to the unified identity. And determining the user hierarchy of each user on the previous day according to the mapping relation between the object behaviors and the user hierarchies. The method for determining the behavior modes of the plurality of objects executed by each user and the method for determining the user level of the user are the same as the corresponding method, and will not be described herein.

After determining the user level of each user in the previous day, the actual number of people corresponding to each user level in the previous day can be obtained through an SQL function, and the actual number of people corresponding to each user level in the previous day is displayed in a visual mode.

For example, the actual number of the users with the preset number of 9 months 4 at each level from R1 to R5 can be obtained at 2 pm on 9 months 5, for example, the number of the users with the preset number of 9 months 4 at the level R1 is w1, the number of the users with the level R2 is w2, the number of the users with the level R3 is w3, the number of the users with the level R4 is w4, the number of the users with the level R5 is w5, and the actual number corresponding to each product of the numbers of 9 months 4 is visually displayed.

In one embodiment, the actual number of users at each level of the preset number of users for 9 months 4 may also be compared with the actual number of users at each level of the previous days. For example, the first few days may be 9 months 1 day to 9 months 3 days, and then the ring ratio of the data may be performed; the first few days can be 8 months No. 4, and then the data can be compared with each other in a month. The particular dates of the first few days and the particular forms of alignment should not be construed as limiting the application.

Optionally, in a specific implementation manner, the embodiment of the present application may further include the following steps 170 to 190:

170. And obtaining a target user group corresponding to a preset time node, and carrying out hierarchical division on the target user group to obtain a plurality of user hierarchies corresponding to the target user group.

The target user group is a user group formed by target users. The target user is a user who is sent the multimedia resource in a preset historical time period earlier than the preset time node.

The preset time node is any time node later than the first time node, and the preset history time period is a continuous time period earlier than the preset time node. The preset history period may be 7 days, or may be other time periods, such as 15 days, and the specific time period of the preset history period should not be construed as a limitation of the present application.

Alternatively, in a specific embodiment, step 170 may specifically include the following steps 171 to 173:

171. and acquiring a plurality of target users transmitted by the multimedia resource in a preset historical time period earlier than the preset time node, wherein the plurality of target users form the target user group.

172. And acquiring the object behaviors of each target user aiming at the preset product.

The object behavior of the target user for the preset product may be any one of the object behaviors shown in fig. 1c, and specific content of the object behavior is not described herein.

In a specific embodiment, the target user's object behavior for the preset product may be the object behavior that the target user performs in a preset historical period of time earlier than the preset time node, or may be the behavior that is performed by the target user and related to the preset product up to the preset time node. For example, the preset time node may be 8 months 15, and the preset history period is 8 months 1 to 8 months 14, and then: "object behavior performed by the target user during a preset history period earlier than the preset time node" is: object behaviors performed by the target user from 8 months 1 to 8 months 15; the behavior which is executed by the target user and related to the preset product is as follows: all actions related to the preset product that the target user performed before the end of 8 months 15.

173. And determining the user level of each target user according to the mapping relation between the object behaviors and the user level and the object behaviors of each target user.

For each target user, a user hierarchy corresponding to a plurality of object behaviors of the target user can be obtained based on a mapping relation between the object behaviors and the user hierarchy. And then selecting the user hierarchy with the highest hierarchy level from a plurality of user hierarchies corresponding to the target user, and taking the user hierarchy with the highest hierarchy level as the user hierarchy of the target user.

180. And calculating the circulation efficiency of each user level corresponding to the target user group.

Alternatively, in one embodiment, the flow efficiency may include a flow rate; accordingly, the calculation process of the flow rate includes the following steps 181 to 183:

181. and for each user level, acquiring the circulation ratio of the number of people flowing to the current user level by the low user level to the initial number of people of the low user level in the target historical time period.

The target historical time period is a time period in which the preset product frequently generates the transaction data. Alternatively, the target historical time period may be a time period for product promotions, such as black friday, e-commerce platform shopping mall, and the like.

182. And if the circulation ratio is one, the circulation ratio is the circulation ratio of the current user level.

183. If the circulation ratio is multiple, calculating the summation of the multiple circulation ratios, wherein the summation is the circulation ratio of the current user level.

The calculation of the circulation rate is related to the number of circulation ratios. Continuing with the above example, please refer to fig. 1c for details, taking the user hierarchy R2 as the current user hierarchy, the low user hierarchy of R2 has only one R1, so the circulation ratio of R2 has only one, namely: the ratio of the number of people that R1 flows to R2 during the target history period to the initial number of people that R1 was in the initial stage of the target history period.

Since there is only one circulation ratio of R2, the circulation ratio of R2 is the circulation ratio of R2.

Namely, the calculation formula of the flow rate of R2 is as follows:

taking the user hierarchy R3 as the current user hierarchy as an example, the low user hierarchy of R3 has two R1 and R2, so the circulation ratio of R3 has two, one is: a ratio of the number of people R1 flows to R3 to the initial number of people R1 is in the initial stage of the target history period; the other is: the ratio of the number of people that R2 flows to R3 during the target history period to the initial number of people that R2 was in the initial stage of the target history period.

Since there are two flow ratios of R3, the flow ratio of R3 is the sum of the two flow ratios.

Namely, the calculation formula of the flow rate of R3 is as follows:

optionally, in a specific embodiment, the flow efficiency may further include a flow cost performance; accordingly, the calculation process of the cost performance of the flow includes the following steps 184 to 186:

184. and for each user level, acquiring commodity transaction total generated by the current user level in a target historical time period.

The current user hierarchy refers to the user hierarchy early in the target history period. Taking the current user level as an example, the total amount of commodity transactions generated in the target history period by the user who is R1 in the initial stage of the target history period may be obtained.

185. And acquiring the multimedia resource budget corresponding to the current user level.

The multimedia resource budget can be converted into the marketing amount of the current user level through the target historical time period; for example, the marketing amount of the target history period to the user at the R1 level at the initial stage of the target history period may be c, and the conversion coefficient w may be obtained and multiplied to obtain the multimedia resource budget cw corresponding to the R1 level. The multimedia resource budget may also be set by the staff member based on the work experience. It should be understood that the specific manner in which the multimedia resource budget is obtained should not be construed as limiting the present application.

186. And calculating the ratio of the commodity transaction total to the multimedia resource budget, wherein the ratio is the flow cost performance of the current user level.

Continuing to take the R1 level as an example, the calculation formula of the flow cost performance of the R1 level is:

for R2, R3, R4, and R5, the calculation of the flow cost performance may be performed by the calculation methods from step 184 to step 186, which will not be described herein.

190. And determining a target user hierarchy of which the circulation efficiency meets a preset requirement from a plurality of user hierarchies corresponding to the target user group, wherein the user corresponding to the target user hierarchy is a user to be sent by the multimedia resource.

In the above embodiment, the target user level whose circulation efficiency meets the preset requirement may be determined, so that the strength of transmission may be pertinently enhanced for the target user level when the multimedia resource transmission is planned again next time, so that the highest possible benefit may be replaced with a limited cost.

Alternatively, in a specific embodiment, step 190 may specifically include the steps of: and determining a target user level, in which the flow rate meets a first preset requirement and the flow cost performance meets a second preset requirement, from a plurality of user levels corresponding to the target user group.

The specific requirements of the first preset requirement and the second preset requirement can be determined according to the transmission purpose of the multimedia resource. For example, if the transmission purpose of the multimedia resource is: the conversion rate of the traffic is improved as much as possible, and for a plurality of target user levels, the target user level with the highest cost performance of the traffic can be selected from three target user levels in front of the traffic rate; if the transmission purpose of the multimedia resource is: if the cost is saved as much as possible, for a plurality of target user levels, the target user level with the highest stream transfer rate can be selected from the three target user levels with the first three stream transfer cost performance.

Referring to FIG. 1e for details, FIG. 1e shows a schematic view of the turnover rate of cosmetic brand L over a historical promotional period of time. After analyzing fig. 1e, it can be known that the circulation rate meets the first preset requirement, and the circulation cost performance meets the second preset requirement, and the target user level is R3. Therefore, R3 crowd can be used as a real time API (RTA for short) crowd, and the strength of sending the multimedia resources is pertinently enhanced for the crowd at the R3 level in the upcoming promotion shopping festival activity; for example, the multimedia resource may be sent to the R3 level crowd by adding 1.x times the price. After promoting shopping mall activities, it can be found that the above targeted multimedia resource transmission strategy brings about obvious improvement of Conversion Rate (CVR) and ROI.

In the data processing method provided by the embodiment of the application, the multimedia resources including the preset product can be sent to the preset number of users in the preset time period starting from the first time node and ending from the second time node. Then acquiring a first time node, and determining a first user level corresponding to each user by each user on a first object behavior of a preset product; and acquiring attribution time nodes, namely second object behaviors of each user on preset products, and further determining a second user level corresponding to each user, wherein the attribution time nodes are time points after delaying one preset attribution period from the second time nodes. And comparing the hierarchy changes between the first user hierarchy and the second user hierarchy of the preset number of users, and displaying the hierarchy changes. The present embodiments focus on: the same batch of users are directed to the change in user level of the preset product, rather than the instant ROI, before and after being sent to the multimedia asset containing the preset product.

The method and the device can evaluate the sending value of the multimedia resource more comprehensively, so that the sending process of the multimedia resource can be adjusted according to the sending value, the maximum utilization of the resource is realized as much as possible, and the cost is saved.

The method described in the above embodiments will be described in further detail below.

In this embodiment, the method of the embodiment of the present application will be described in detail by taking any commodity Z with m preset number and brand Z advertisement as multimedia resource and brand Z preset product as an example.

As shown in fig. 2, a specific flow of a data processing method is as follows:

201. and in a preset time period from the first time node to the second time node, putting advertisements of the brand Z to m users, wherein the advertisements of the brand Z are used for propaganda of the product Z.

202. When the first time node is acquired, each user in the m users acts on a first object of the product z.

Optionally, in a specific embodiment, step 202 may specifically include the following steps:

for each user, determining a unified identity from the second number of identities; acquiring a first object behavior executed by the user in a sub-application program corresponding to the unified identity; if the set identity of one sub-application program in the first number of sub-application programs is not the uniform identity and the sub-application program corresponds to the first object behavior executed by the user, modifying the set identity to be the uniform identity according to the identity mapping relation and recording the first object behavior executed by the user and corresponding to the sub-application program.

203. For each user, a plurality of first object behaviors performed by the user at a first number of sub-applications are obtained.

204. And acquiring user levels corresponding to the plurality of first object behaviors respectively according to the mapping relation between the object behaviors and the user levels.

205. And selecting the user hierarchy with the highest level from the plurality of user hierarchies, wherein the user hierarchy with the highest level is the first user hierarchy of the user.

206. When the attribution time node is acquired, each of the m users acts on the second object of the product z.

Alternatively, in a specific embodiment, step 206 may specifically include the steps of:

for each user, determining a unified identity from the fourth number of identities; acquiring a second object behavior executed by the user in the sub-application program corresponding to the unified identity; and if the set identity of one sub-application program in the third number of sub-application programs is not the uniform identity and the sub-application program corresponds to the second object behavior executed by the user, modifying the set identity into the uniform identity according to the identity mapping relation and recording the second object behavior executed by the user and corresponding to the sub-application program.

207. For each user, a plurality of second object behaviors performed by the user at the third number of sub-applications are obtained.

208. And obtaining user levels corresponding to the second object behaviors respectively according to the mapping relation between the object behaviors and the user levels.

209. And selecting a user hierarchy with the highest level from a plurality of user hierarchies, wherein the user hierarchy with the highest level is the second user hierarchy of the user.

210. The first user hierarchy of m users is compared with the hierarchy of the second user hierarchy and the hierarchy change of the first user hierarchy of m users is displayed.

211. And obtaining a target user group corresponding to the preset time node, and carrying out hierarchical division on the target user group to obtain a plurality of user hierarchies corresponding to the target user group.

Optionally, in a specific embodiment, step 211 may specifically include the following steps:

acquiring a plurality of target users transmitted by the multimedia resource in a preset historical time period earlier than the preset time node, wherein the plurality of target users form the target user group; acquiring object behaviors of each target user aiming at the preset product; and determining the user level of each target user according to the mapping relation between the object behaviors and the user level and the object behaviors of each target user.

212. And calculating the circulation efficiency of each user level corresponding to the target user group.

Optionally, the conversion efficiency includes conversion rate and conversion cost performance.

The flow rate is calculated as follows:

for each user level, acquiring a circulation ratio of the number of people flowing to the current user level from the low user level to the initial number of people in the low user level in a target historical time period; if the circulation ratio is one, the circulation ratio is the circulation ratio of the current user level; if the circulation ratio is multiple, calculating the summation of the multiple circulation ratios, wherein the summation is the circulation ratio of the current user level.

The calculation mode of the flow cost performance is as follows:

for each user level, acquiring commodity transaction total generated by the current user level in a target historical time period; acquiring a multimedia resource budget corresponding to the current user level; and calculating the ratio of the commodity transaction total to the multimedia resource budget, wherein the ratio is the flow cost performance of the current user level.

213. And determining a target user hierarchy with the circulation efficiency meeting the preset requirement from a plurality of user hierarchies corresponding to the target user group, wherein the user corresponding to the target user hierarchy is a user to be subjected to new-round throwing of brand Z advertisements.

The specific implementation of steps 201 to 213 is already described in detail above, and will not be described here again.

In order to better implement the method, the embodiment of the application also provides a data processing device, which can be integrated in an electronic device, and the electronic device can be a terminal, a server and other devices. The terminal may be a mobile phone, a tablet computer, an intelligent bluetooth device, a notebook computer, or a personal computer (Personal Computer, PC), and in some embodiments, the server may be a single server, or may be a server cluster formed by multiple servers. For example, in the present embodiment, a method of the embodiment of the present application will be described in detail by taking a specific integration of a data processing apparatus into an electronic device as an example.

For example, as shown in fig. 3, the data processing apparatus may include:

a multimedia resource sending unit 301, configured to send a multimedia resource to a preset number of users in a preset time period, where a start time point of the preset time period is a first time node, a stop time point is a second time node, and the multimedia resource includes content of a preset product;

a first behavior acquisition unit 302, configured to acquire, when the first time node is set, a first object behavior of each user for the preset product, where the first object behavior reflects a first interest degree of the user for the preset product at the first time node;

A first hierarchy determining unit 303, configured to determine a first user hierarchy corresponding to a first object behavior of each user, where the first user hierarchy is an interval in which the first degree of interest is located;

a second behavior acquisition unit 304, configured to acquire, when attributing to a time node, a second object behavior of each user with respect to the preset product, where the attributing to the time node is a time point after a delay of one preset attribution period from the second time node, and the second object behavior reflects a second degree of interest of the user in the preset product at the attributing to the time node;

a second hierarchy determining unit 305, configured to determine a second user hierarchy corresponding to a second object behavior of each user, where the second user hierarchy is a section where the second interest level is located;

the hierarchy change comparing unit 306 is configured to compare the hierarchy changes of the first user hierarchy and the second user hierarchy of the preset number of users, and display the hierarchy changes on a preset interface.

In some embodiments, the first behavior obtaining unit 302 is specifically configured to obtain, at the first time node, a first object behavior that is executed by each of the users in the first number of sub-applications.

In some embodiments, each of the users has a second number of identities in the first number of sub-applications; accordingly, the first behavior acquisition unit 302 includes:

In some embodiments, the first hierarchy determining unit 303 includes:

In some embodiments, the second behavior acquisition unit 304 is specifically configured to acquire, at the attribution time node, a second object behavior executed by each of the users in the third number of sub-applications.

In some embodiments, each of the users has a fourth number of identities in the third number of sub-applications; accordingly, the second behavior acquisition unit 304 includes:

In some embodiments, the second hierarchy determining unit 305 includes:

In some embodiments, the apparatus further comprises:

In some embodiments, the hierarchical partitioning unit includes:

In the implementation, each unit may be implemented as an independent entity, or may be implemented as the same entity or several entities in any combination, and the implementation of each unit may be referred to the foregoing method embodiment, which is not described herein again.

The embodiment of the application also provides electronic equipment which can be a terminal, a server and other equipment. The terminal can be a mobile phone, a tablet computer, an intelligent Bluetooth device, a notebook computer, a personal computer and the like; the server may be a single server, a server cluster composed of a plurality of servers, or the like.

In the present embodiment, a detailed description will be given taking an example in which the electronic device of the present embodiment is an electronic device, for example, as shown in fig. 4, which shows a schematic structural diagram of the electronic device according to the embodiment of the present application, specifically:

the electronic device may include one or more processor cores 401, one or more computer-readable storage media memory 402, a power supply 403, an input module 404, and a communication module 405, among other components. Those skilled in the art will appreciate that the electronic device structure shown in fig. 4 is not limiting of the electronic device and may include more or fewer components than shown, or may combine certain components, or may be arranged in different components. Wherein:

The processor 401 is a control center of the electronic device, connects various parts of the entire electronic device using various interfaces and lines, and performs various functions of the electronic device and processes data by running or executing software programs and/or modules stored in the memory 402, and calling data stored in the memory 402. In some embodiments, processor 401 may include one or more processing cores; in some embodiments, processor 401 may integrate an application processor that primarily processes operating systems, user interfaces, applications, and the like, with a modem processor that primarily processes wireless communications. It will be appreciated that the modem processor described above may not be integrated into the processor 401.

The memory 402 may be used to store software programs and modules, and the processor 401 executes various functional applications and data processing by executing the software programs and modules stored in the memory 402. The memory 402 may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program (such as a sound playing function, an image playing function, etc.) required for at least one function, and the like; the storage data area may store data created according to the use of the electronic device, etc. In addition, memory 402 may include high-speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid-state storage device. Accordingly, the memory 402 may also include a memory controller to provide the processor 401 with access to the memory 402.

The electronic device also includes a power supply 403 for powering the various components, and in some embodiments, the power supply 403 may be logically connected to the processor 401 by a power management system, such that charge, discharge, and power consumption management functions are performed by the power management system. The power supply 403 may also include one or more of any of a direct current or alternating current power supply, a recharging system, a power failure detection circuit, a power converter or inverter, a power status indicator, and the like.

The electronic device may also include an input module 404, which input module 404 may be used to receive entered numeric or character information and to generate keyboard, mouse, joystick, optical or trackball signal inputs related to user settings and function control.

The electronic device may also include a communication module 405, and in some embodiments the communication module 405 may include a wireless module, through which the electronic device may wirelessly transmit over a short distance, thereby providing wireless broadband internet access to the user. For example, the communication module 405 may be used to assist a user in e-mail, browsing web pages, accessing streaming media, and so forth.

Although not shown, the electronic device may further include a display unit or the like, which is not described herein. In particular, in this embodiment, the processor 401 in the electronic device loads executable files corresponding to the processes of one or more application programs into the memory 402 according to the following instructions, and the processor 401 executes the application programs stored in the memory 402, so as to implement various functions as follows:

transmitting multimedia resources to a preset number of users in a preset time period, wherein the starting time point of the preset time period is a first time node, the ending time point is a second time node, and the multimedia resources contain the content of preset products; when the first time node is obtained, each user aims at a first object behavior of the preset product, wherein the first object behavior reflects a first interested degree of the user on the preset product at the first time node; determining a first user level corresponding to a first object behavior of each user, wherein the first user level is a section in which the first interest degree is located; when obtaining attribution time nodes, each user aims at second object behaviors of the preset products, wherein the attribution time nodes are time points after a preset attribution period is delayed from the second time nodes, and the second object behaviors reflect second interest degrees of the users on the preset products at the attribution time nodes; determining a second user level corresponding to a second object behavior of each user, wherein the second user level is a section in which the second interest degree is located; comparing the level changes of the first user level and the second user level of the preset number of users, and displaying the level changes on a preset interface.

The specific implementation of each operation above may be referred to the previous embodiments, and will not be described herein.

Those of ordinary skill in the art will appreciate that all or a portion of the steps of the various methods of the above embodiments may be performed by instructions, or by instructions controlling associated hardware, which may be stored in a computer-readable storage medium and loaded and executed by a processor.

To this end, embodiments of the present application provide a computer readable storage medium having stored therein a plurality of instructions capable of being loaded by a processor to perform steps in any of the data processing methods provided by the embodiments of the present application. For example, the instructions may perform the steps of:

Wherein the storage medium may include: read Only Memory (ROM), random access Memory (RAM, random Access Memory), magnetic or optical disk, and the like.

According to one aspect of the present application, there is provided a computer program product or computer program comprising computer instructions stored in a computer readable storage medium. The processor of the computer device reads the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions, so that the computer device performs the methods provided in the various alternative implementations provided in the above embodiments.

The instructions stored in the storage medium may perform steps in any data processing method provided in the embodiments of the present application, so that the beneficial effects that any data processing method provided in the embodiments of the present application can be achieved, which are detailed in the previous embodiments and are not described herein.

It should be understood that, in the embodiment of the present application, the actions of acquiring the object of the user, and sending the multimedia resource to the user need to be performed when the authorization of the user is acquired.

The foregoing has described in detail a data processing method, apparatus, electronic device and computer readable storage medium provided by embodiments of the present application, and specific examples have been applied herein to illustrate the principles and embodiments of the present application, where the foregoing examples are provided to assist in understanding the methods of the present application and their core ideas; meanwhile, those skilled in the art will have variations in the specific embodiments and application scope in light of the ideas of the present application, and the present description should not be construed as limiting the present application in view of the above.

Claims

1. A method of data processing, the method comprising:

transmitting multimedia resources to a preset number of users in a preset time period, wherein the starting time point of the preset time period is a first time node, the ending time point is a second time node, and the multimedia resources contain the content of preset products;

when the first time node is obtained, each user aims at a first object behavior of the preset product, wherein the first object behavior reflects a first interested degree of the user on the preset product at the first time node;

Determining a first user level corresponding to a first object behavior of each user, wherein the first user level is a section in which the first interest degree is located;

when obtaining attribution time nodes, each user aims at second object behaviors of the preset products, wherein the attribution time nodes are time points after a preset attribution period is delayed from the second time nodes, and the second object behaviors reflect second interest degrees of the users on the preset products at the attribution time nodes;

determining a second user level corresponding to a second object behavior of each user, wherein the second user level is a section in which the second interest degree is located;

comparing the level changes of the first user level and the second user level of the preset number of users, and displaying the level changes on a preset interface.

2. The method of claim 1, wherein the obtaining the first time node, for each of the users, a first object behavior for the preset product, comprises:

and at the first time node, acquiring first object behaviors executed by each user in a first number of sub-applications.

3. The method of claim 2, wherein each of said users has a second number of identities in said first number of sub-applications;

the obtaining a first object behavior executed by each user in a first number of sub-applications includes:

for each user, determining a unified identity from the second number of identities;

acquiring a first object behavior executed by the user in a sub-application program corresponding to the unified identity;

if the set identity of one sub-application program in the first number of sub-application programs is not the uniform identity and the sub-application program corresponds to the first object behavior executed by the user, modifying the set identity to be the uniform identity according to the identity mapping relation and recording the first object behavior executed by the user and corresponding to the sub-application program.

4. The method of claim 2, wherein the determining a first user hierarchy for each of the first object behaviors of the user comprises:

for each user, acquiring a plurality of first object behaviors executed by the user in the first number of sub-applications;

Acquiring user levels respectively corresponding to the plurality of first object behaviors according to the mapping relation between the object behaviors and the user levels;

and selecting a user hierarchy with the highest level from a plurality of user hierarchies, wherein the user hierarchy with the highest level is the first user hierarchy of the user.

5. The method of claim 1, wherein each of the users acts on a second object of the preset product when the attribution time node is acquired, comprising:

and acquiring second object behaviors executed by each user in a third number of sub-applications at the attribution time node.

6. The method of claim 5, wherein each of the users has a fourth number of identities in the third number of sub-applications;

the obtaining the second object behavior executed by each user in the third number of sub-applications includes:

for each user, determining a unified identity from the fourth number of identities;

acquiring a second object behavior executed by the user in the sub-application program corresponding to the unified identity;

and if the set identity of one sub-application program in the third number of sub-application programs is not the uniform identity and the sub-application program corresponds to the second object behavior executed by the user, modifying the set identity into the uniform identity according to the identity mapping relation and recording the second object behavior executed by the user and corresponding to the sub-application program.

7. The method of claim 5, wherein said determining a second user hierarchy for a second object behavior of each of said users comprises:

for each of the users, obtaining a plurality of second object behaviors performed by the user at the third number of sub-applications;

acquiring user levels respectively corresponding to the plurality of second object behaviors according to the mapping relation between the object behaviors and the user levels;

and selecting a user hierarchy with the highest level from a plurality of user hierarchies, wherein the user hierarchy with the highest level is the second user hierarchy of the user.

8. The method of claim 1, wherein the method further comprises:

acquiring a target user group corresponding to a preset time node, and carrying out hierarchical division on the target user group to obtain a plurality of user hierarchies corresponding to the target user group;

calculating the circulation efficiency of each user level corresponding to the target user group;

and determining a target user hierarchy of which the circulation efficiency meets a preset requirement from a plurality of user hierarchies corresponding to the target user group, wherein the user corresponding to the target user hierarchy is a user to be sent by the multimedia resource.

9. The method of claim 8, wherein the obtaining the target user group corresponding to the preset time node and performing hierarchical division on the target user group to obtain the plurality of user hierarchies corresponding to the target user group comprises:

acquiring a plurality of target users transmitted by the multimedia resource in a preset historical time period earlier than the preset time node, wherein the plurality of target users form the target user group;

acquiring object behaviors of each target user aiming at the preset product;

and determining the user level of each target user according to the mapping relation between the object behaviors and the user level and the object behaviors of each target user.

10. The method of claim 8, wherein the flow efficiency comprises a flow rate;

the calculating the circulation efficiency of each user level corresponding to the target user group comprises the following steps:

for each user level, acquiring a circulation ratio of the number of people flowing to the current user level from the low user level to the initial number of people in the low user level in a target historical time period;

if the circulation ratio is one, the circulation ratio is the circulation ratio of the current user level;

If the circulation ratio is multiple, calculating the summation of the multiple circulation ratios, wherein the summation is the circulation ratio of the current user level.

11. The method of claim 8, wherein the flow efficiency comprises flow cost performance;

for each user level, acquiring commodity transaction total generated by the current user level in a target historical time period;

acquiring a multimedia resource budget corresponding to the current user level;

and calculating the ratio of the commodity transaction total to the multimedia resource budget, wherein the ratio is the flow cost performance of the current user level.

12. The method of claim 8, wherein the flow efficiency comprises a flow rate and a flow cost performance;

and determining a target user level, of which the circulation efficiency meets a preset requirement, from a plurality of user levels corresponding to the target user group, wherein the target user level comprises:

and determining a target user level, in which the flow rate meets a first preset requirement and the flow cost performance meets a second preset requirement, from a plurality of user levels corresponding to the target user group.

13. A data processing apparatus, the apparatus comprising:

14. An electronic device comprising a processor and a memory, the memory storing a plurality of instructions; the processor loads instructions from the memory to perform the steps in the data processing method according to any one of claims 1 to 12.

15. A computer readable storage medium, characterized in that it stores a plurality of instructions adapted to be loaded by a processor for performing the steps in the data processing method according to any of claims 1 to 12.