Automatic advertising template updating method, device, equipment and medium

Abstract

The present application relates to the field of advertising automation technology, and discloses an automated advertising template update method, device, equipment and medium, the method comprising: setting a delivery configuration template according to the products in the advertising account, and delivering advertisements based on the delivery configuration template; obtaining advertising delivery data in real time based on delivered advertisements; analyzing and summarizing the data performance of each delivery indicator in the delivery configuration template based on the advertising delivery data to form a data report; analyzing the advantageous delivery indicators based on the data report; and automatically updating the delivery configuration template based on the advantageous delivery indicators. The present application realizes the update of the delivery configuration template in an automated manner, reduces the tediousness and errors of manual operations, and further improves the effect of advertising delivery.

Description

Technical Field

[0001] The present application relates to the field of advertising automation technology, and more specifically, to an automated advertising template updating method, device, equipment and medium. Background Art

[0002] With the continuous development of the Internet advertising industry, the efficiency and effectiveness of advertising have become the focus of advertisers. Traditional advertising methods require manual setting of advertising configuration templates and adjustment of advertising parameters based on experience. They often lack real-time and systematic data analysis, making it difficult for advertisers to accurately judge the effectiveness of advertising and make adjustments. In addition, this method has the problems of low efficiency and unstable results.

[0003] Therefore, the existing advertising delivery method requires manual setting of delivery configuration templates, and the low efficiency and low accuracy of adjusting delivery parameters based on experience are problems that need to be solved urgently. Summary of the invention

[0004] The main purpose of this application is to provide an automated advertising template updating method, which aims to solve the technical problems that the existing advertising delivery method requires manual setting of delivery configuration templates and the adjustment of delivery parameters based on experience is inefficient and inaccurate.

[0005] The first aspect of the present application provides an automatic advertisement template updating method, comprising:

[0006] Setting a delivery configuration template according to the products in the advertising account, and delivering advertisements based on the delivery configuration template;

[0007] Based on the ads that have been delivered, get the advertising delivery data in real time;

[0008] Based on the advertising delivery data, analyzing and summarizing the data performance of each delivery indicator in the delivery configuration template to form a data report;

[0009] Based on the data report, analyze the advantageous delivery indicators;

[0010] Based on the advantageous delivery indicators, the delivery configuration template is automatically updated.

[0011] Furthermore, the step of setting a delivery configuration template according to the products in the advertising account and delivering the advertisement based on the delivery configuration template includes:

[0012] Associating the products in the advertising account with the corresponding delivery configuration template;

[0013] Identify the advertisement corresponding to the delivery configuration template;

[0014] Identifying the delivery indicators included in the delivery configuration template and delivery parameters of the delivery indicators;

[0015] The advertisement is delivered in a corresponding delivery position according to the delivery parameters.

[0016] Furthermore, the step of acquiring advertisement delivery data in real time based on delivered advertisements includes:

[0017] Get the exhibition data of the ads that have been placed;

[0018] Obtain the conversion data of the corresponding products of the delivered advertisements;

[0019] The advertisement delivery data is obtained based on the exhibition data and the conversion data.

[0020] Furthermore, the step of analyzing and summarizing the data performance of each delivery indicator in the delivery configuration template based on the advertising delivery data to form a data report includes:

[0021] Based on the delivery configuration template corresponding to each advertisement, identifying the data representation corresponding to each delivery indicator in the delivery configuration template in the advertisement delivery data;

[0022] The data performance is sorted to form a data report.

[0023] Furthermore, the step of analyzing the advantageous delivery indicators based on the data report includes:

[0024] Identifying key evaluation data in the advertisement delivery data;

[0025] Establishing assessment weights based on the key assessment data;

[0026] Analyze the data report based on the evaluation weight to obtain an evaluation result;

[0027] Based on the evaluation results, advantageous delivery indicators are screened out.

[0028] Furthermore, the step of automatically updating the delivery configuration template based on the advantageous delivery indicator includes:

[0029] Identify the update trigger conditions of the delivery configuration template;

[0030] When an update trigger condition is met, identifying the configuration data of the advantage delivery indicator;

[0031] Identifying a delivery indicator in the delivery configuration template that is the same as the advantageous delivery indicator;

[0032] Based on the configuration data of the advantageous delivery indicators, the configuration data of the identified delivery indicators is updated.

[0033] A second aspect of the present application is an automatic advertisement template updating device, comprising:

[0034] A template configuration module, used to set a delivery configuration template according to the products in the advertising account, and deliver advertisements based on the delivery configuration template;

[0035] A real-time acquisition module is used to acquire advertisement delivery data in real time based on delivered advertisements;

[0036] A data presentation module, for analyzing and summarizing the data presentation of each delivery indicator in the delivery configuration template based on the advertisement delivery data, and forming a data report;

[0037] An analysis module, used to analyze advantageous delivery indicators based on the data report;

[0038] An updating module is used to automatically update the delivery configuration template based on the advantageous delivery indicator.

[0039] Furthermore, the real-time acquisition module includes:

[0040] A first data acquisition unit, used to acquire exhibition data of the placed advertisements;

[0041] A second data acquisition unit is used to acquire conversion data of the product corresponding to the placed advertisement;

[0042] The third data acquisition unit is used to obtain the advertisement delivery data based on the exhibition data and the conversion data.

[0043] The third aspect of the present application provides an automatic advertisement template updating method and device, comprising:

[0044] processor;

[0045] Memory for storing computer programs;

[0046] Wherein, when the processor executes the computer program, any one of the above-mentioned automatic advertisement template updating methods is implemented.

[0047] A fourth aspect of the present application provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the automatic advertisement template updating method described in any one of the above items is implemented.

[0048] Beneficial effects:

[0049] This application can automatically update the delivery configuration template corresponding to the product advertisement in real time, improving the efficiency and accuracy of advertising delivery. Through the real-time acquisition and analysis of advertising delivery data, it can timely discover and optimize the delivery configuration template to ensure that advertising delivery is always in the best state. In addition, this application also realizes the update of delivery configuration templates in an automated manner, reducing the tediousness and errors of manual operations, and further improving the effect of advertising delivery. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] Figure 1 This is a schematic diagram of the steps of an automatic advertisement template updating method according to an embodiment of the present application;

[0051] Figure 2 It is a structural diagram of an automatic advertisement template updating device according to an embodiment of the present application;

[0052] Figure 3 is a schematic block diagram of the structure of a computer device according to an embodiment of the present application;

[0053] The purpose, features and advantages of this application will be further described in conjunction with the embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0054] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0055] It will be appreciated by those skilled in the art that, unless expressly stated, the singular forms "one", "above", and "the" used herein may also include plural forms. It should be further understood that the term "comprising" used in the specification of the present application refers to the presence of features, integers, steps, operations, elements, modules, and / or components, but does not exclude the presence or addition of one or more other features, integers, steps, operations, elements, modules, components, and / or groups thereof. It should be understood that when an element is said to be "connected" or "coupled" to another element, it may be directly connected or coupled to the other element, or there may also be an intermediate element. In addition, the "connection" or "coupling" used herein may include wireless connection or wireless coupling. The term "and / or" used herein includes all or any module and all combinations of one or more associated listed items.

[0056] It will be understood by those skilled in the art that, unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as generally understood by those skilled in the art to which this application belongs. It should also be understood that terms such as those defined in common dictionaries should be understood to have meanings consistent with the meanings in the context of the prior art, and will not be interpreted with idealized or overly formal meanings unless specifically defined as here.

[0057] Reference Figure 1 The embodiment of the present application provides an automatic advertisement template updating method, comprising the following steps S1-S5:

[0058] S1: Setting a delivery configuration template according to the products in the advertising account, and delivering advertisements based on the delivery configuration template;

[0059] S2: Based on the ads that have been delivered, real-time acquisition of advertising delivery data;

[0060] S3: Based on the advertisement delivery data, analyzing and summarizing the data performance of each delivery indicator in the delivery configuration template to form a data report;

[0061] S4: Analyze the advantageous delivery indicators based on the data report;

[0062] S5: Automatically update the delivery configuration template based on the advantageous delivery indicators.

[0063] In step S1, it is necessary to obtain the product information and the corresponding delivery configuration template in the advertising account. The delivery configuration template was originally manually configured by the staff based on the management platform. When it is established, the product needs to be associated with the corresponding delivery configuration template, and then configured, that is, the product is associated with the advertisement, and the advertisement is associated with the delivery configuration template, which can be associated by matching the specific attributes of the product or by the unique identifier of the product. For example, the mini-program game can be associated with the corresponding delivery configuration template according to the name or category of the mini-program game. In order to achieve automation, the product information in the advertising account can be obtained by using a data interface or data crawling. These product information may include product names, product descriptions, product categories, etc. At the same time, it is also necessary to obtain the data of the delivery configuration template, including delivery indicators and corresponding delivery parameters. Taking the mini-program game as an example of a product, the relevant information of the mini-program game, such as the name, description, category, etc. of the mini-program game, can be obtained through the API interface of the advertising platform. At the same time, the delivery configuration template of the mini-program game can be obtained, including delivery indicators and corresponding delivery parameters related to the mini-program game, such as: the media position targeted by the advertisement, the targeting settings, including age, gender, population, region, device; bidding, conversion settings, etc. For example: Advertising budget: Determine the advertising budget for each product. You can set a daily budget or a budget for the entire delivery cycle. Delivery time: Select the time period for product advertising. You can set a specific time period every day or a specific date range. Targeting settings: Set the targeting options for product advertising based on the characteristics of the product and the target audience, such as regional targeting, age targeting, interest targeting, etc. Bid settings: Determine the bid per click or thousand impressions for each product, and set it according to the bidding rules of the advertising platform and the expected revenue of the product. Creative content: Prepare the creative advertising materials for each product, including text, pictures, videos, etc. Upload or fill in the creative content of the product advertisement according to the regulations of the advertising platform. After associating the product and the delivery configuration template, you can deliver the advertisement on the corresponding delivery position according to the delivery indicators and parameter settings in the delivery configuration template. According to the delivery configuration template of the mini program game, you can select a suitable advertising position on the advertising platform for advertising delivery. The delivery configuration template also sets parameters such as the number of ad impressions, delivery time, and delivery frequency.

[0064] In step S2, the main purpose is to obtain advertising data in real time based on the ads that have been delivered, and to provide a basis for subsequent data analysis and optimization. It is necessary to obtain relevant data of the ads that have been delivered in real time. The data obtained include the number of ad impressions, clicks, conversions (i.e., entering the product page through the ad); indicator data such as product browsing time and product revenue, as well as other information related to the ad, such as ad space, ad creativity, etc. By obtaining advertising delivery data in real time, the performance of the ad can be understood in a timely manner, helping advertisers and marketing teams to monitor the effectiveness of the ad and delivery effect in real time. Based on the acquired advertising delivery data, data analysis and mining can be performed to discover the advantageous delivery indicators and potential problems of the ad, and provide a basis for the subsequent optimization of the delivery configuration template. By automatically acquiring and processing advertising delivery data, the workload of manual intervention and operation can be reduced, work efficiency can be improved, and the occurrence of human errors can be reduced.

[0065] In step S3, the acquired advertising delivery data needs to be cleaned and processed to remove invalid or abnormal data and ensure the accuracy and completeness of the data. The data cleaning process may include operations such as removing duplicate data, filling missing data, and processing abnormal data. According to the delivery indicators set in the delivery configuration template, the acquired advertising delivery data is analyzed to calculate the values ​​of various indicators, such as the click-through rate and conversion rate of the advertisement. Data can also be aggregated and summarized according to needs, and data can be summarized according to different dimensions (of delivery indicators), such as grouping data according to different advertising positions, advertising creativity, delivery time, etc., so as to understand the performance of associated advertisements under a single delivery indicator in more detail. In addition, based on the results obtained from data analysis, data reports can be generated, and data visualization tools can be used to present data as various charts, such as bar charts, line charts, pie charts, etc.

[0066] This step can make the data more intuitive and easier to understand, better reflect the actual performance of the advertisement, and help the subsequent optimization and decision-making process. At the same time, through automated data analysis and report generation, manual operations can be reduced and work efficiency can be improved.

[0067] In step S4, it is necessary to analyze and identify the dominant indicators in advertising delivery. Identify which delivery indicators perform well in data performance and have a positive impact on the overall performance of the advertisement. For example, age: some advertisements have higher click-through rates in groups of a certain age; or, delivery time: higher conversion rates at specific delivery times; or, delivery regions: higher product revenues for certain regions. These dominant indicators can provide an important basis for subsequent advertising optimization and adjustment. Among them, data performance can be the performance of one-way data indicators in advertising delivery data, such as click-through rate, conversion rate, etc.; however, for different types of advertisements and different marketing goals, the dominant indicators may be different, so it is necessary to conduct specific analysis according to the specific situation. At this time, it can also be a comprehensive data performance specified by weight design. For example, for a category of goods, a higher return rate, page views and advertising conversion rate are required. At this time, the data performance can be determined according to the custom weight ratio, such as a weight ratio of 5:3:2, to calculate which delivery indicators in the delivery configuration template have better data performance. This step can accurately identify the dominant indicators in advertising delivery, providing a clear direction for subsequent delivery optimization. At the same time, since the analysis is based on real-time advertising data, it is able to quickly respond to market changes and adjust advertising strategies, thereby improving advertising effectiveness and conversion rates.

[0068] In step S5, it is necessary to realize the function of automatically updating the delivery configuration template based on the advantageous delivery indicators identified in step S4. This step is a key link in the entire automated advertising management process. By automatically updating the delivery configuration template, it is possible to optimize the advertising delivery according to the actual data, improve the advertising effect, and reduce the workload of manual participation. First, it is necessary to convert the identified advantageous delivery indicators into adjustment parameters for the delivery configuration template. For example, if it is found that among the many delivery configuration templates for a certain product, the conversion rate of a certain advertisement under the 10-12 o'clock directional setting is particularly high, then it is necessary to update the corresponding delivery parameters in other delivery configuration templates based on this discovery. Through the continuous updating of the advertising delivery data, the corresponding parameters of the various delivery indicators of the delivery configuration template will bring more and more accurate delivery settings, greatly reducing the impact of manual intervention and improving the delivery effect.

[0069] In one embodiment, the step of setting a delivery configuration template according to the products in the advertising account and delivering advertisements based on the delivery configuration template includes:

[0070] S10, associating the products in the advertising account with the corresponding delivery configuration template;

[0071] S11, identifying the advertisement corresponding to the delivery configuration template;

[0072] S12, identifying the delivery indicators contained in the delivery configuration template, and delivery parameters of the delivery indicators;

[0073] S13: placing the advertisement in a corresponding placement position according to the placement parameters.

[0074] In this embodiment, firstly, by associating the commodities in the advertising account with the corresponding delivery configuration template, it can be ensured that each commodity has a matching precise delivery strategy. During the delivery process, the advertisement corresponding to the delivery configuration template will be identified to ensure the matching of the advertisement with the commodity and the delivery strategy. Then, the system will further identify the delivery indicators and corresponding delivery parameters contained in the delivery configuration template. These parameters are the core settings of the advertising delivery, which determine the key factors such as which media positions the advertisement is placed in, which groups of people are targeted, and when the advertisement is placed. Placing advertisements on the corresponding delivery positions according to the delivery parameters is a key step in the actual implementation of advertising delivery. The system will automatically deliver advertisements to the configured media positions according to the set delivery parameters to ensure that the advertisements can accurately reach the target user groups. At the same time, the system will also monitor the real-time data of the advertising delivery to ensure the smooth progress of the advertising delivery. In addition, this embodiment can also provide optimization and adjustment functions during the advertising delivery process. During the actual delivery process, the system will dynamically adjust and optimize the delivery configuration template according to the real-time acquired advertising delivery data. For example, if it is found that the click-through rate or conversion rate of a certain placement is lower than expected, the system can automatically adjust the placement parameters of the placement, or try to place ads in other placements to seek better delivery results.

[0075] In one embodiment, the step of acquiring advertisement delivery data in real time based on delivered advertisements includes:

[0076] S20, obtaining exhibition data of the placed advertisements;

[0077] S21, obtaining conversion data of the corresponding product of the delivered advertisement;

[0078] S22: Obtain the advertisement delivery data based on the exhibition data and the conversion data.

[0079] In this embodiment, first, the system will obtain the display data of the advertisements that have been placed in real time. These data include key information such as the number of advertisements displayed and clicked. These display data reflect the most direct user acceptance or user appeal of the advertisements. Then, the system will further obtain the conversion data of the corresponding products of the advertisements that have been placed. These conversion data usually include the behavior data of users after clicking on the advertisements, such as browsing time, purchase, registration, etc. These data directly reflect the actual effect of the advertisements.

[0080] After obtaining exhibition data and conversion data, the system will conduct comprehensive analysis and processing based on these two types of data to obtain advertising data. These data include key indicators such as the click-through rate, conversion rate, and cost-effectiveness ratio of the advertisement, which are important bases for evaluating the effectiveness of advertising.

[0081] In addition, the system will clean and pre-process the advertising data to ensure the accuracy and completeness of the data. By removing duplicate data, filling missing data, processing abnormal data and other operations, the system can further improve the quality of advertising data and provide reliable data support for subsequent data analysis and optimization. After obtaining the advertising data, it is convenient for the system to monitor and adjust the advertising in real time according to the preset delivery configuration template and delivery strategy. In this way, the system can realize the full automation management and optimization of advertising delivery, and improve the efficiency and effectiveness of advertising delivery. At the same time, because the system can obtain and analyze advertising data in real time, it can promptly discover and solve problems to ensure the smooth progress of advertising delivery.

[0082] In one embodiment, the step of analyzing and summarizing the data performance of each delivery indicator in the delivery configuration template based on the advertisement delivery data to form a data report includes:

[0083] S30, based on the delivery configuration template corresponding to each advertisement, identifying the data representation corresponding to each delivery indicator in the delivery configuration template in the advertisement delivery data;

[0084] S31, sorting the data performance to form a data report.

[0085] In this embodiment, first, according to the delivery configuration template corresponding to each advertisement, the data performance corresponding to each delivery indicator in the delivery configuration template in the advertisement delivery data is accurately identified. These data performances may include multiple indicators such as click-through rate, exposure, conversion rate, average cost, etc., which can intuitively reflect the actual performance of advertisements under different delivery strategies. Next, the system will organize and analyze these data performances to form a detailed data report. This data report will be classified and summarized according to different dimensions, that is, the angles of different advertising delivery indicators (and the specific setting parameters contained under the advertising delivery indicators) (such as advertising type, delivery channel, time period, etc.), so that users can clearly understand the overall situation of advertising delivery and the specific performance of each delivery indicator. At the same time, the data report will also be displayed in various forms such as charts and tables, making the data more intuitive and easy to understand. Through this embodiment, the data performance of each delivery indicator in the delivery configuration template can be identified and organized by analyzing the advertising delivery data, and the corresponding data report can be formed. These reports can help advertisers, marketing teams and systems better understand the performance of advertisements, make data-driven decisions, optimize advertising delivery strategies and improve advertising effects.

[0086] In one embodiment, the step of analyzing the advantageous delivery indicators based on the data report includes:

[0087] S40, identifying key evaluation data in the advertisement delivery data;

[0088] S41, establishing evaluation weights based on the key evaluation data;

[0089] S42, analyzing the data report based on the evaluation weight to obtain an evaluation result;

[0090] S43. Based on the evaluation results, select advantageous delivery indicators.

[0091] In this embodiment, first, the system will identify the key evaluation data in the advertising data. These key evaluation data are usually determined based on the advertiser's business goals and marketing needs, such as click-through rate, conversion rate, ROI (return on investment), etc. These data can directly reflect the effect and efficiency of advertising, and are key indicators for evaluating the pros and cons of advertising strategies. The system will set evaluation weights based on these key evaluation data. The setting of evaluation weights is determined based on the importance and influence of different indicators, reflecting the relative importance of different indicators in the evaluation. For example, if the current product pays more attention to the conversion rate, then the evaluation weight of the conversion rate will be relatively high. Then, the system will analyze the data report based on these evaluation weights to obtain the evaluation results. Finally, the system will filter out the advantage delivery indicators based on the evaluation results. These advantage delivery indicators are usually indicators that perform better and have better effects in the evaluation. They reflect under which strategies or channels the advertisement can achieve better results. By filtering out these advantage delivery indicators, the system can better understand the delivery effect of the advertisement and provide reference and basis for the subsequent formulation of advertising delivery strategies. In this embodiment, by analyzing, evaluating and screening the advertising data, the system can help advertisers and marketing teams identify advantageous advertising indicators and provide strong support for the subsequent formulation of advertising strategies. At the same time, this process is also a process of continuous optimization and improvement. Through continuous data analysis and strategy adjustment, the effect and efficiency of advertising can be continuously improved.

[0092] In one embodiment, the step of automatically updating the delivery configuration template based on the advantageous delivery indicator includes:

[0093] S50, identifying the update triggering condition of the delivery configuration template;

[0094] S51. When an update trigger condition is met, identifying the configuration data of the advantage delivery indicator;

[0095] S52, identifying a delivery indicator in the delivery configuration template that is the same as the advantageous delivery indicator;

[0096] S53: Based on the configuration data of the advantageous delivery indicators, update the configuration data of the identified delivery indicators.

[0097] In this embodiment, first, the system sets the update trigger conditions of the delivery configuration template. These trigger conditions may include that a certain data indicator of the advertising delivery data is lower than a preset threshold or reaches the update time within a preset time. When these trigger conditions are met, the system automatically starts the update process. Next, the system identifies the configuration data of the advantage delivery indicator. These data usually include key information such as the time, region, target user group, delivery channel, budget allocation, etc. of the advertising delivery, which are key factors for the effect of advertising delivery. The system identifies the delivery indicators that are the same as the advantage delivery indicators in the delivery configuration template, with the purpose of finding out the specific indicator items that need to be updated. Finally, based on the configuration data of the advantage delivery indicator, the system updates the configuration data of the identified delivery indicators. It may include modifying the delivery time, adjusting the region selection, repositioning the target user group, changing the delivery channel, adjusting the budget allocation, etc. Through this process, the system can automatically optimize and adjust the advertising delivery strategy according to the latest advertising delivery data and market conditions to improve the effect and efficiency of advertising delivery. In this embodiment, by setting the update trigger conditions, identifying the configuration data of the advantageous delivery indicators, matching the delivery indicators in the delivery configuration template, and updating the configuration data of the delivery indicators based on the configuration data of the advantageous delivery indicators, the system can realize the automatic management and optimization of the advertising delivery configuration. This not only improves the efficiency and effect of advertising delivery, but also reduces the need for manual intervention and reduces operating costs. At the same time, since the system can obtain and analyze advertising delivery data in real time, it can timely discover and solve problems to ensure the smooth progress of advertising delivery.

[0098] refer to Figure 2 , an automatic advertisement template updating device, comprising:

[0099] The template configuration module 100 is used to set a delivery configuration template according to the products in the advertising account, and deliver advertisements based on the delivery configuration template;

[0100] A real-time acquisition module 200 is used to acquire advertisement delivery data in real time based on delivered advertisements;

[0101] The data presentation module 300 is used to analyze and summarize the data presentation of each delivery indicator in the delivery configuration template based on the advertisement delivery data to form a data report;

[0102] An analysis module 400 is used to analyze advantageous delivery indicators based on the data report;

[0103] The updating module 500 is used to automatically update the delivery configuration template based on the advantageous delivery indicator.

[0104] Furthermore, the template configuration module 100 includes:

[0105] An associating unit, used to associate the products in the advertising account with the corresponding delivery configuration template;

[0106] A first identification unit, used to identify the advertisement corresponding to the delivery configuration template;

[0107] The second identification unit identifies the delivery indicators contained in the delivery configuration template and the delivery parameters of the delivery indicators;

[0108] The first delivery unit is used to deliver the advertisement in a corresponding delivery position according to the delivery parameters.

[0109] Furthermore, the above-mentioned real-time acquisition module 200 includes:

[0110] A first data acquisition unit, used to acquire exhibition data of the placed advertisements;

[0111] A second data acquisition unit is used to acquire conversion data of the product corresponding to the placed advertisement;

[0112] The third data acquisition unit is used to obtain the advertisement delivery data based on the exhibition data and the conversion data.

[0113] Furthermore, the data representation module 300 includes:

[0114] A performance acquisition unit, configured to identify, based on a delivery configuration template corresponding to each advertisement, data performance corresponding to each delivery indicator in the delivery configuration template in the advertisement delivery data;

[0115] The data table forming unit is used to organize the data representation to form a data report.

[0116] Furthermore, the above analysis module 400 includes:

[0117] A key point identification unit, used for identifying key evaluation data in the advertisement delivery data;

[0118] A weight evaluation unit, used to establish an evaluation weight based on the key evaluation data;

[0119] A result acquisition unit, used for analyzing the data report based on the evaluation weight to obtain an evaluation result;

[0120] The screening unit is used to screen out advantageous delivery indicators based on the evaluation results.

[0121] Furthermore, the update module 500 includes:

[0122] A condition trigger unit, used to identify the update trigger condition of the delivery configuration template;

[0123] A configuration data identification unit, used to identify the configuration data of the advantage delivery indicator when an update trigger condition is met;

[0124] An identical identification unit, used for identifying a delivery indicator in the delivery configuration template that is identical to the advantageous delivery indicator;

[0125] An updating unit is used to update the configuration data of the identified delivery indicators based on the configuration data of the advantageous delivery indicators.

[0126] Reference Figure 3 In the embodiment of the present application, a computer device is also provided. The computer device may be a server, and its internal structure may be as follows: Figure 3 As shown. The computer device includes a processor, a memory, a network interface and a database connected by a bus. Among them, the processor designed by the computer is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores operations, computer programs and databases. The memory provides an environment for the operation of the operations and computer programs in the non-volatile storage medium. The database of the computer device is used to store data such as an automated advertising template update method. The network interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, an automated advertising template update method is implemented, including the steps of: setting a delivery configuration template according to the goods in the advertising account, and delivering advertisements based on the delivery configuration template; obtaining advertising delivery data in real time based on the delivered advertisements; analyzing and summarizing the data performance of each delivery indicator in the delivery configuration template based on the advertising delivery data to form a data report; analyzing the advantageous delivery indicators based on the data report; and automatically updating the delivery configuration template based on the advantageous delivery indicators.

[0127] An embodiment of the present application also provides a computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a processor, an automatic advertising template updating method is implemented, comprising the steps of: setting a delivery configuration template according to products in an advertising account, and delivering advertisements based on the delivery configuration template; acquiring advertisement delivery data in real time based on delivered advertisements; analyzing and summarizing data performance of each delivery indicator in the delivery configuration template based on the advertisement delivery data to form a data report; analyzing advantageous delivery indicators based on the data report; and automatically updating the delivery configuration template based on the advantageous delivery indicators.

[0128] Those of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media provided in this application and used in the embodiments may include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. As an illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double-speed data rate SDRAM (SSRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).

[0129] The above description is only a preferred embodiment of the present application, and does not limit the patent scope of the present application. Any equivalent structure or equivalent process transformation made using the contents of the present application specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present application.

Claims

1. An automatic advertising template updating method, characterized in that: include: Setting a delivery configuration template according to the products in the advertising account, associating the products with the corresponding delivery configuration template by matching specific attributes of the products or by using a unique identifier of the products, and delivering advertisements based on the delivery configuration template; This includes associating the Mini Program game with the corresponding delivery configuration template by the name or category of the Mini Program game; Based on the ads that have been delivered, get the advertising delivery data in real time; Based on the advertising delivery data, analyzing and summarizing the data performance of each delivery indicator in the delivery configuration template to form a data report; Based on the data report, analyzing the advantageous delivery indicators; wherein, if the data performance of a single data indicator exceeds a preset threshold, it is judged as an advantageous delivery indicator; Based on the configuration data of the advantageous delivery indicators, the delivery configuration template is automatically updated; wherein the configuration data includes: delivery time, region, target user group, delivery channel, budget allocation, bid setting and advertising creative materials, wherein the bid setting includes determining the bid per click or per thousand impressions for each product, which is set according to the bidding rules of the advertising platform and the expected revenue of the product, and the advertising creative materials include text, pictures, and videos; The step of analyzing the advantageous delivery indicators based on the data report includes: Identifying key evaluation data in the advertisement delivery data; Establishing assessment weights based on the key assessment data; Analyze the data report based on the evaluation weight to obtain an evaluation result; Based on the evaluation results, select advantageous delivery indicators; Among them, different types of products and marketing goals at different stages correspond to different key evaluation data and evaluation weights; The step of automatically updating the delivery configuration template based on the advantageous delivery indicator includes: Identify the update trigger conditions of the delivery configuration template; When an update trigger condition is met, identifying the configuration data of the advantage delivery indicator; Identifying a delivery indicator in the delivery configuration template that is the same as the advantageous delivery indicator; Based on the configuration data of the advantageous delivery indicators, updating the configuration data of the identified delivery indicators; The trigger condition includes that a data indicator of the advertisement delivery data is lower than a preset threshold within a preset time or reaches an update time.

2. The automatic advertisement template updating method according to claim 1, characterized in that: The step of setting a delivery configuration template according to the products in the advertising account and delivering advertisements based on the delivery configuration template includes: Associating the products in the advertising account with the corresponding delivery configuration template; Identify the advertisement corresponding to the delivery configuration template; Identifying the delivery indicators included in the delivery configuration template and delivery parameters of the delivery indicators; The advertisement is delivered in a corresponding delivery position according to the delivery parameters.

3. The automatic advertisement template updating method according to claim 1, characterized in that: The step of acquiring advertisement delivery data in real time based on delivered advertisements includes: Get the exhibition data of the ads that have been placed; Obtain the conversion data of the corresponding products of the delivered advertisements; The advertisement delivery data is obtained based on the exhibition data and the conversion data.

4. The automatic advertisement template updating method according to claim 1, characterized in that: The step of analyzing and summarizing the data performance of each delivery indicator in the delivery configuration template based on the advertising delivery data to form a data report includes: Based on the delivery configuration template corresponding to each advertisement, identifying the data representation corresponding to each delivery indicator in the delivery configuration template in the advertisement delivery data; The data performance is sorted to form a data report.

5. An automatic advertisement template updating device, used to execute the method according to any one of claims 1 to 4, characterized in that: include: A template configuration module, used to set a delivery configuration template according to the products in the advertising account, and deliver advertisements based on the delivery configuration template; A real-time acquisition module is used to acquire advertisement delivery data in real time based on delivered advertisements; A data presentation module, for analyzing and summarizing the data presentation of each delivery indicator in the delivery configuration template based on the advertisement delivery data, and forming a data report; An analysis module, used to analyze advantageous delivery indicators based on the data report; An updating module is used to automatically update the delivery configuration template based on the advantageous delivery indicator.

6. The automatic advertisement template updating device according to claim 5, characterized in that: The real-time acquisition module comprises: A first data acquisition unit, used to acquire exhibition data of the placed advertisements; A second data acquisition unit is used to acquire conversion data of the product corresponding to the placed advertisement; The third data acquisition unit is used to obtain the advertisement delivery data based on the exhibition data and the conversion data.

7. An automated advertising template updating method and device, characterized in that: include: processor; Memory for storing computer programs; Wherein, when the processor executes the computer program, the automatic advertisement template updating method according to any one of claims 1 to 4 is implemented.

8. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the automatic advertisement template updating method according to any one of claims 1 to 4 is implemented.

Images