Advertisement data processing method and system

Abstract

The invention discloses an advertisement data processing method and system, and the method comprises the steps: obtaining user access data, determining the last access time and page access records of a user account based on the user access data, and enabling each advertisement page to have corresponding access validity and access weight; s2, determining a time interval corresponding to the final access time and the current time, and determining the user activeness corresponding to the user account based on the time interval and the page access record; s3, determining a data synchronization frequency according to the user activeness; and S4, synchronizing the advertisement data of the e-commerce platform to an advertisement page corresponding to the user account based on the data synchronization frequency. According to the method, the corresponding data synchronization frequency is determined according to the user activeness, the synchronization operation on the advertisement data of the e-commerce platform is executed based on the data synchronization frequency, and the data requirements of users of different groups for the advertisement putting function of the e-commerce ERP system are met.

Description

Technical Field

[0001] The present application relates to the field of computer technology, and in particular to an advertisement data processing method and a corresponding system. Background Art

[0002] In the current cross-border e-commerce field, the e-commerce ERP system can enable one operator to manage hundreds of e-commerce stores at the same time, greatly improving the efficiency of store operations. However, the functional modules of the existing e-commerce ERP system are still in the stage of gradual functional update and improvement. The functional algorithms and rules formulated by various software companies when developing their own e-commerce ERP systems are also basically different. As user needs change, each functional module will continue to develop new versions to be compatible with more usage scenarios.

[0003] At present, the e-commerce ERP system will synchronize the advertising data of the e-commerce platform to the local computer, and generate corresponding advertising reports based on the advertising data for users to refer to. However, during the advertising data synchronization process, the e-commerce platform's data interface has a call limit, and the e-commerce ERP system is difficult to process advertising data synchronization requests in a timely manner under the call limit, resulting in the data synchronization between the e-commerce ERP system's advertising service and the e-commerce platform is not timely enough, making it difficult to meet users' data usage needs for the e-commerce ERP system's advertising delivery function.

[0004] Other technical issues related to this application will be further described later. The above content is only used to assist in understanding the technical solution of this application, and does not mean that all of the above content is prior art. Summary of the invention

[0005] The main purpose of the present invention is to provide an advertising data processing method and system, which can determine the data synchronization frequency corresponding to the user account according to the user activity, and perform synchronization operations on the e-commerce platform advertising data according to the data synchronization frequency, so as to meet the user's data usage needs for the advertising delivery function of the e-commerce ERP system without exceeding the limit of calling the data interface.

[0006] To achieve the above objectives, the present application proposes an advertisement data processing method and system, the method comprising: Step S1: obtaining user access data, and determining the last access time and page access records of the user account based on the user access data, wherein the page access records are access records of the advertisement pages contained in the advertisement module, and the advertisement pages include advertisement activity pages, advertisement group pages, advertisement product pages, and advertisement delivery pages, and each of the advertisement pages has corresponding access validity and access weight, wherein the access validity indicates whether the access behavior to the advertisement page can reflect the user activity, and the access weight indicates the degree of user activity reflected by the access behavior to the advertisement page; Step S2: determining a time interval corresponding to the last access time and the current time, and determining a user activity corresponding to the user account based on the time interval and the page access record; Step S3: determining the data synchronization frequency according to the user activity; Step S4: Based on the data synchronization frequency, the advertising data of the e-commerce platform is synchronized to the advertising page corresponding to the user account.

[0007] Other features and technical effects of this application are described in the following part of the specification. The technical problem solving ideas and related product design solutions of this application are: At present, the e-commerce ERP system will synchronize the advertising data of the e-commerce platform to the local computer, and generate corresponding advertising reports based on the advertising data for users to refer to. However, during the advertising data synchronization process, the e-commerce platform's data interface has a call limit, and the e-commerce ERP system is difficult to process advertising data synchronization requests in a timely manner under the call limit, resulting in the data synchronization between the e-commerce ERP system's advertising service and the e-commerce platform is not timely enough, making it difficult to meet users' data usage needs for the e-commerce ERP system's advertising delivery function.

[0008] In response to this, the applicant proposed to perform corresponding advertising data synchronization operations based on the activity of user accounts, thereby not increasing or even reducing the number of data requests on the original basis, and performing advertising data synchronization operations so that users who pay more attention to advertising can obtain more timely advertising data, and to a certain extent, guarantee the advertising data synchronization rate of other users, realize classified processing of advertising data synchronization, and meet the needs of various groups of users for the use of advertising data in the e-commerce ERP system.

[0009] The applicant further proposed that the activity of the user account be determined based on the access time and access behavior of the user's access to the advertising module of the e-commerce ERP system. Among them, the longer the last access time of the user account is from the current time, the lower the activity of the user account in the e-commerce ERP system. In addition, the e-commerce ERP system detects the specific advertising page visited by the user account during the last visit. The advertising page includes the advertising activity page, the advertising group page, the advertising product page, and the advertising delivery page. The e-commerce ERP system can set the access validity and access weight corresponding to each advertising page according to actual needs. The access validity characterizes whether the access behavior to the advertising page can reflect the user's activity; it can be understood that since the advertising activity page, the advertising group page, the advertising product page, and the advertising delivery page have a hierarchical relationship, in order to avoid the access operation of the advertising page being triggered by the user, the access validity can be set to determine that only some advertising pages can reflect the user's activity. For example, when the user visits the advertising activity page, it is not considered an effective access behavior, and it is only considered an effective access behavior when the user visits the advertising group page, that is, the advertising page of the lower level. Furthermore, a corresponding access weight may be set for each advertising page. For example, a user's visit to an advertising group page corresponds to a user activity coefficient of 1, while a visit to an advertising product page corresponds to a user activity coefficient of 1.2.

[0010] On this basis, the e-commerce ERP system determines the data synchronization frequency corresponding to the user account based on user activity, and user activity is positively correlated with the data synchronization frequency; finally, the e-commerce ERP system synchronizes the advertising data of the e-commerce platform to the advertising page corresponding to the user account based on the data synchronization frequency, thereby meeting the data needs of different groups of users for the advertising delivery function of the e-commerce ERP system.

[0011] In this way, the advertising data processing method provided by the present application can determine the user activity of the user account based on the last access time and page access records of the user account, and determine the corresponding data synchronization frequency based on the user activity, and finally execute the synchronization operation of the e-commerce platform advertising data based on the data synchronization frequency, so that the data needs of different groups of users for the advertising delivery function of the e-commerce ERP system can be met without exceeding the limit of calling the data interface, thereby improving the accuracy of users' use of the advertising delivery function.

[0012] The present application also provides a system, which is an e-commerce ERP system or an e-commerce management system, and the system can execute the operating instructions of each method step of the present application.

[0013] The present application also provides a server, which includes a memory and a processor. The system in the present application is stored in the memory, and the processor can run the operating instructions of each method step of the present application.

[0014] The present application also provides a computer device, which includes a memory and a processor. The system in the present application is stored in the memory, and the processor can execute the operating instructions of each method step in the present application.

[0015] refer to Figure 1 The e-commerce ERP system of this application includes one or more functional modules such as commodity module, sales module, procurement module, logistics module, warehouse module, financial module, advertising module, customer service module, tool module, authority management module and data analysis module. The functional modules can be integrated with each other or exist independently, and one functional module can be a submodule of another functional module; the functional modules of this application can also be set on other e-commerce management systems (such as e-commerce platforms) to manage the stores of this e-commerce management system or other e-commerce management systems. Users of the ERP system of this application can also be called store managers, sellers, operators, operators, etc., and their identities are not strictly limited unless otherwise stated. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] The accompanying drawings are used to provide further understanding of the present application and do not constitute a limitation of the present application; the contents shown in the accompanying drawings may be real data of the embodiments and belong to the protection scope of the present application.

[0017] Figure 1 This is a schematic diagram of the functional modules of an e-commerce ERP system in one embodiment of the present application.

[0018] Figure 2 This is a schematic diagram of the structure of an advertisement module in one embodiment of the present application.

[0019] Figure 3 The figure is a flowchart of an advertisement data processing method in one embodiment of the present application. DETAILED DESCRIPTION

[0020] In order to make the purpose, technical solution and advantages of this application more clear, the following is a further detailed description of the embodiments of this application through specific implementation methods combined with the accompanying drawings. It should be understood that the specific embodiments described here are only used to explain this application and are not used to limit this application.

[0021] Figure 2 FIG. 2 shows a schematic diagram of the structure of an advertisement module in one embodiment of the present application. Figure 2As shown, after the data acquisition module obtains the user access data of the user account in the local database of the e-commerce ERP system, it determines the last access time and page access records based on the user access data, and then the time determination module determines the time interval based on the last access time and the current time. Then the activity module calculates the user activity of the user account based on the time interval and the page access records, and the frequency determination module calculates the corresponding data synchronization frequency based on the user activity. Finally, the data synchronization module synchronizes the advertising data of the e-commerce platform to the advertising page corresponding to the user account based on the data synchronization frequency.

[0022] Figure 3 An advertisement data processing method in an embodiment of the present application is shown, and the method mainly includes the following steps S1 to S4.

[0023] Step S1: obtaining user access data, and determining the last access time and page access record of the user account based on the user access data, wherein the page access record is the access record of the advertisement page contained in the advertisement module, and each advertisement page has a corresponding access validity and access weight, wherein the access validity indicates whether the access behavior to the advertisement page can reflect the user activity, and the access weight indicates the degree of user activity reflected by the access behavior to the advertisement page; Step S2: determining a time interval corresponding to the last access time and the current time, and determining a user activity corresponding to the user account based on the time interval and the page access record; Step S3: determining the data synchronization frequency according to the user activity; Step S4: Based on the data synchronization frequency, the advertising data of the e-commerce platform is synchronized to the advertising page corresponding to the user account.

[0024] In this way, the advertising data processing method provided by the present application can determine the user activity of the user account based on the last access time and page access records of the user account, and determine the corresponding data synchronization frequency based on the user activity, and finally execute the synchronization operation of the e-commerce platform advertising data based on the data synchronization frequency, so that the data needs of different groups of users for the advertising delivery function of the e-commerce ERP system can be met without exceeding the limit of calling the data interface, thereby improving the accuracy of users' use of the advertising delivery function.

[0025] The following is a detailed description of each step in the advertising data processing method.

[0026] Step S1: Obtain user access data, and determine the last access time and page access records of the user account based on the user access data. The page access records are access records of the advertising pages contained in the advertising module. Each advertising page has corresponding access validity and access weight. The access validity represents whether the access behavior to the advertising page can reflect the user activity, and the access weight represents the degree of user activity reflected by the access behavior to the advertising page.

[0027] Specifically, the e-commerce ERP system obtains user access data in the local database, and determines the last time each user account visited the advertising page and the specific access records to the advertising page contained in the advertising module based on the user access data. Among them, the types of advertising pages include advertising campaign pages, advertising group pages, advertising product pages, and advertising delivery pages. The advertising campaign page is an activity setting details page containing multiple advertising groups, the advertising group page is an advertising setting details page containing multiple products of the same type, the advertising product page is an advertising setting details page containing a single product, and the advertising delivery page is an advertising setting details page that displays data of different advertising delivery methods.

[0028] Among them, the above-mentioned advertising campaign page, advertising group page, advertising product page and advertising delivery page have corresponding access validity and access weight respectively. Access validity represents whether the access behavior to the advertising page can reflect the user activity. It is assumed that: if the advertising campaign page does not have access validity, but the advertising group page has access validity, then when the e-commerce ERP system detects that the user account accesses the advertising campaign page, it does not use the access behavior to calculate the user activity, but only when it detects that the user account accesses the advertising group page, it uses the access behavior to calculate the user activity. In addition, the access weight represents the degree of user activity reflected by the access behavior to the advertising page. It is assumed that: the advertising campaign page has a lower access weight (such as the user activity coefficient corresponding to the access to the advertising campaign page is 1), and the advertising group page has a higher access weight (such as the user activity coefficient corresponding to the access to the advertising group page is 1.2), then when the user account accesses the advertising group page, the e-commerce ERP system determines that the user account has a relatively high user activity.

[0029] Step S2: Determine the time interval between the last access time and the current time, and determine the user activity corresponding to the user account based on the time interval and the page access record.

[0030] Specifically, the longer the time interval between the last access time and the current time (reflecting that the user visits the advertising page very infrequently), the lower the user activity; and the user activity is further determined based on the specific advertising pages visited by the user account.

[0031] Step S3: Determine the data synchronization frequency according to the user activity.

[0032] Specifically, user activity is positively correlated with data synchronization frequency; the higher the user activity, the higher the data synchronization frequency. Assume that user activity is divided into level 1, level 2, and level 3 from high to low. When the user account is in the initial state, the e-commerce ERP system performs a data synchronization operation on the advertising page of the user account every half an hour. At this time, the user account in level 1 user activity maintains the original data update frequency, the user account in level 2 user activity adjusts the data update frequency to once an hour, the user account in level 3 user activity adjusts the data update frequency to once every two hours, and so on.

[0033] It should be noted that, in this embodiment, the specific correspondence between user activity and data synchronization frequency can be set according to actual needs. The above data is only an example and is not specifically limited here.

[0034] Step S4: Based on the data synchronization frequency, the advertising data of the e-commerce platform is synchronized to the advertising page corresponding to the user account.

[0035] Specifically, the e-commerce ERP system determines the corresponding data synchronization frequency according to the user activity of each user account, and then synchronizes the advertising data of the e-commerce platform to the advertising page corresponding to each user account based on the data synchronization frequency; and the e-commerce ERP system will regularly update the user activity according to the access behavior of the user account.

[0036] Furthermore, in one embodiment, the advertising campaign page, the advertising group page, the advertising product page and the advertising delivery page have a hierarchical relationship from high to low, and if a high-level advertising page has the access validity, a low-level advertising page also has the access validity.

[0037] Specifically, if the advertising campaign page has access validity, then the advertising group page, advertising product page and advertising delivery page all have access validity; similarly, if the advertising group page has access validity, then the advertising product page and advertising delivery page have access validity, but the advertising campaign page does not have access validity.

[0038] Further, based on the above embodiments, the access weight is negatively correlated with the hierarchical relationship. Specifically, the access weights corresponding to the advertising campaign page, the advertising group page, the advertising product page, and the advertising delivery page are gradually increased. It can be understood that the more attention a user pays to the advertising module of the e-commerce ERP system, the more time he or she will spend viewing and operating advertising pages at a lower level and with smaller granularity; therefore, the user account that performs viewing and setting operations on the advertising delivery page will reflect a higher user activity than the user account that only views the advertising campaign page.

[0039] Further, in one embodiment, the data synchronization frequency includes a target synchronization frequency, and step S3 includes the following step S3.1.

[0040] Step S3.1: Determine the target synchronization frequencies corresponding to the advertisement pages at each level according to the user activity and the access validity.

[0041] The applicant found that in actual applications, although some users often visit the advertising pages of the advertising module (high activity), due to the large number of stores they manage, these users usually only pay attention to the advertising pages that reflect the overall advertising data (such as advertising campaign pages and advertising group pages), while the access frequency to relatively low-level and small-granularity advertising pages (such as advertising product pages and advertising placement pages) is lower; in order to improve the utilization efficiency of data synchronization resources, the e-commerce ERP system further distinguishes the data synchronization frequency (target synchronization frequency) of advertising pages at each level, that is, it performs higher-frequency data synchronization operations on advertising pages that are frequently visited by user accounts, and performs lower-frequency data synchronization operations on advertising pages that are seldom visited by user accounts.

[0042] For example, assuming that the preset access frequency applied to each advertising page is 2 days / time, the e-commerce ERP system determines that user account A is an active account accessing the advertising module, and the data synchronization frequency for the advertising page is 30 minutes / time. If the e-commerce ERP system detects that the user account accesses the advertising campaign page and the advertising group page 1 day / time (higher than the preset access frequency), and accesses the advertising product page and the advertising delivery page 3 days / time (lower than the preset access frequency), the e-commerce ERP system determines that the user account has a low demand for data synchronization with the advertising product page and the advertising delivery page, and the data synchronization frequency can be appropriately reduced, such as adjusting the data synchronization frequency to 120 minutes / time.

[0043] It should be noted that when a user views an advertisement page, the display order of the advertisement pages gradually transitions from a high-level advertisement page to a low-level advertisement page. Therefore, the data update frequency of a high-level advertisement page is higher than that of a low-level advertisement page, thereby better meeting the user's needs and cognitive habits for obtaining advertisement data.

[0044] In this way, this embodiment, on the basis of distinguishing the user activity of user accounts, further sets the corresponding data synchronization frequency (target synchronization frequency) for each level of advertising pages according to the frequency of user account visits to advertising pages, that is, the user's access habits, so as to reasonably allocate the data synchronization resources of the e-commerce ERP system and further improve the efficiency of the e-commerce ERP system in performing advertising data synchronization operations.

[0045] Further, based on the above embodiment, for advertisement pages at adjacent levels, the difference in frequency between an advertisement page at a high level and an advertisement page at a low level with respect to the target synchronization frequency is less than 1 time / 30 minutes.

[0046] Specifically, since there are many data associations between advertising pages at different levels, and in practice the frequency of users' visits to advertising pages at different levels will not differ too much, in order to avoid misleading users due to large differences in data of advertising pages at different levels, this embodiment limits the frequency difference between advertising pages at a high level and advertising pages at a low level for the target synchronization frequency to less than 1 time / 30 minutes, ensuring that the data version differences of advertising pages at adjacent levels will not be too large.

[0047] Furthermore, in one embodiment, the method further includes the following steps S5.1 and S5.2.

[0048] Step S5.1: Detecting the access frequency of the user account to the preset function page of the advertisement module, wherein the preset function page is independent of the hierarchical relationship of the advertisement page; Step S5.2: If the access frequency is lower than the preset frequency, the data synchronization frequency corresponding to the preset function page is reduced.

[0049] Specifically, for relatively independent data analysis functions in the advertising module, such as generating traffic insight report data (used to analyze revenue realization data corresponding to product links published on third-party platforms), or generating purchased product data (traffic data of each advertisement corresponding to sold products), etc., since the above-mentioned data analysis functions are generated based on hierarchical advertising page data, but are relatively independent of the hierarchical advertising pages, when users use the data analysis function less frequently, the data corresponding to the data analysis function can perform data synchronization operations at a lower frequency.

[0050] Further, in one embodiment, step S4 includes the following steps S4.1 and S4.2.

[0051] Step S4.1: Setting data synchronization channels corresponding to the types of the advertisement pages; Step S4.2: Based on the data synchronization frequency, the advertising data of the e-commerce platform is synchronized to the advertising page corresponding to the user account through the data synchronization channel.

[0052] Specifically, the e-commerce ERP system sets up data synchronization channels corresponding to the types of each advertising page, namely, data synchronization channels corresponding to the advertising campaign page, advertising group page, advertising product page and advertising delivery page, and performs data synchronization operations for the corresponding advertising pages based on the above channels.

[0053] It can be understood that this embodiment performs classified synchronization for the advertising page data based on the type of the advertising page, so that data synchronization resources can be reasonably allocated according to the type of the advertising page. For example, assuming that the data synchronization demand of the advertising activity page is high, while the data synchronization demand of the advertising product page is low, the e-commerce ERP system can configure relatively more data synchronization resources for the data synchronization channel corresponding to the advertising activity page according to actual needs, and configure relatively fewer data synchronization resources for the data synchronization channel corresponding to the advertising product page, so that data synchronization resources can be efficiently utilized to meet the advertising data update needs of the corresponding user account in the actual operation of the e-commerce ERP system.

[0054] Further, in one embodiment, step S4 includes the following steps S4.3 and S4.4.

[0055] Step S4.3: Setting a first data channel and a second data channel, wherein the first data channel corresponds to a user account having a preset mark, and the second data channel corresponds to a user account not having the preset mark; Step S4.4: Based on the data synchronization frequency, the advertising data of the e-commerce platform is synchronized to the advertising page corresponding to each user account through the first data channel and the second data channel respectively.

[0056] Specifically, the e-commerce ERP system classifies user accounts, and performs advertising data synchronization operations on the classified user accounts through the first data channel and the second data channel, which are independent of each other. For example, the e-commerce ERP system sets a preset mark for user accounts with VIP privileges, and performs advertising data synchronization operations on user accounts with preset marks through the first data channel, and performs advertising data synchronization operations on user accounts without preset marks through the second data channel. Since the proportion of user accounts with VIP privileges in the total number of accounts is relatively low, even if there is no need to configure additional data synchronization resources for the first data channel, user accounts with VIP privileges can also perform advertising data synchronization operations through the first data channel in priority.

[0057] It can be understood that on this basis, after the e-commerce ERP system sets the corresponding data synchronization channel according to the classification results of the user account, it configures different data synchronization resources for each data synchronization channel. For example, according to the VIP level of the user account, the corresponding data synchronization channel is set up and the corresponding data synchronization resources are configured respectively, so that the user account with a higher VIP level can perform advertising data synchronization operations with a higher data synchronization frequency and faster data synchronization speed.

[0058] It should be noted that the above classification of user accounts according to VIP benefits is only an example classification method. User accounts can be classified according to other classification standards, such as the creation time of the user account, usage time, number of managed stores, etc. This embodiment does not specifically limit the classification standards.

[0059] Furthermore, in one embodiment, the method further includes the following steps S6.1 to S6.3.

[0060] Step S6.1: Detecting the generation time of multiple data synchronization requests corresponding to a single user account; Step S6.2: determining a first synchronization request, a second synchronization request and a calibration synchronization request from the multiple data synchronization requests, wherein the calibration synchronization request is generated later than the first synchronization request and the calibration synchronization request is generated earlier than the second synchronization request; Step S6.3: If it is detected that the execution of the calibration synchronization request is completed, a termination execution mark is set for the first synchronization request, and a continuation execution mark is set for the second synchronization request.

[0061] Specifically, when the same single user account sends multiple data synchronization requests, if the e-commerce ERP system fails to process them in time, the multiple data synchronization requests will form a task backlog. Based on the principle of synchronizing the latest data first, if the e-commerce ERP system successfully executes one of the data synchronization requests (i.e., the calibration synchronization request), the first data synchronization request generated earlier than the data synchronization request will automatically terminate execution, while the second data synchronization request generated later than the data synchronization request will continue execution.

[0062] For example, assume that the first synchronization request is generated on September 23, and is used to synchronize the advertising data from September 21 to September 23; the calibration synchronization request is generated on September 24, and is used to synchronize the advertising data from September 22 to September 24; the second synchronization request is generated on September 25, and is used to synchronize the advertising data from September 23 to September 25. After the e-commerce ERP system completes the execution of the calibration synchronization request, since the first synchronization request is used to synchronize relatively early advertising data and has a lower reference value to users, the e-commerce ERP system sets a termination execution mark for the first synchronization request; and the second synchronization request is used to synchronize relatively late advertising data and has a higher reference value to users, the e-commerce ERP system sets a continuation execution mark for the second synchronization request.

[0063] Thus, in this embodiment, the e-commerce ERP system terminates the execution of some data synchronization requests that were generated earlier and have not yet been executed according to the generation time and execution status of the data synchronization requests, thereby saving data synchronization resources of the e-commerce ERP system and improving operating efficiency.

[0064] The above description is only a preferred embodiment of the present application, and does not limit the patent scope of the present application. All equivalent transformations made by using the contents of the present application specification and drawings under the inventive concept of the present application, or direct / indirect application in the relevant technical field are included in the patent protection scope of the present application.

Claims

1. An advertising data processing method, used in an advertising module of an e-commerce ERP system or an e-commerce management system, characterized in that: The method comprises: Step S1: obtaining user access data, and determining the last access time and page access record of the user account based on the user access data, wherein the page access record is the access record of the advertisement page contained in the advertisement module, and each advertisement page has a corresponding access validity and access weight, wherein the access validity indicates whether the access behavior to the advertisement page can reflect the user activity, and the access weight indicates the degree of user activity reflected by the access behavior to the advertisement page; Step S2: determining a time interval corresponding to the last access time and the current time, and determining a user activity corresponding to the user account based on the time interval and the page access record; Step S3: determining the data synchronization frequency according to the user activity; Step S4: Based on the data synchronization frequency, the advertising data of the e-commerce platform is synchronized to the advertising page corresponding to the user account.

2. The advertising data processing method according to claim 1, characterized in that: The advertisement pages have a hierarchical relationship. If a high-level advertisement page has the access validity, a low-level advertisement page also has the access validity.

3. The advertising data processing method according to claim 2, characterized in that: The access weight is negatively correlated with the hierarchical relationship.

4. The advertisement data processing method according to claim 2, characterized in that: The data synchronization frequency includes a target synchronization frequency, and step S3 includes: Step S3.1: Determine the target synchronization frequencies corresponding to the advertisement pages at each level according to the user activity and the access validity.

5. The advertisement data processing method according to claim 4, characterized in that: For advertisement pages at adjacent levels, the difference in frequency between an advertisement page at a high level and an advertisement page at a low level with respect to the target synchronization frequency is less than 1 time / 30 minutes.

6. The advertisement data processing method according to claim 2, characterized in that: The method further comprises: Step S5.1: Detecting the access frequency of the user account to the preset function page of the advertisement module, wherein the preset function page is independent of the hierarchical relationship of the advertisement page; Step S5.2: If the access frequency is lower than the preset frequency, the data synchronization frequency corresponding to the preset function page is reduced.

7. The advertisement data processing method according to claim 1, characterized in that: Step S4 includes: Step S4.1: Setting data synchronization channels corresponding to the types of the advertisement pages; Step S4.2: Based on the data synchronization frequency, the advertising data of the e-commerce platform is synchronized to the advertising page corresponding to the user account through the data synchronization channel.

8. The advertisement data processing method according to claim 1, characterized in that: Step S4 includes: Step S4.3: Setting a first data channel and a second data channel, wherein the first data channel corresponds to a user account with a preset mark, and the second data channel corresponds to a user account without the preset mark; Step S4.4: Based on the data synchronization frequency, the advertising data of the e-commerce platform is synchronized to the advertising page corresponding to each user account through the first data channel and the second data channel respectively.

9. The advertisement data processing method according to claim 1, characterized in that: The method further comprises: Step S6.1: Detecting the generation time of multiple data synchronization requests corresponding to a single user account; Step S6.2: determining a first synchronization request, a second synchronization request and a calibration synchronization request from the multiple data synchronization requests, wherein the calibration synchronization request is generated later than the first synchronization request and the calibration synchronization request is generated earlier than the second synchronization request; Step S6.3: If it is detected that the execution of the calibration synchronization request is completed, a termination execution mark is set for the first synchronization request, and a continuation execution mark is set for the second synchronization request.

10. An advertisement data processing system, characterized in that: The system is an e-commerce ERP system or an e-commerce management system, and the system includes an advertising module, and the advertising module is used to execute the operation instructions included in the advertising data processing method according to any one of claims 1 to 9.

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