Operation data tracking method, device, equipment, medium and program product

Abstract

The invention provides an operation data tracking method which can be applied to the technical field of data processing and financial science and technology. The method comprises the following steps: generating a unique strategy identifier of a target operation strategy; in response to a strategy acquisition request of the client, sending rendering data of the target operation strategy to the client, so that the client renders at least one marketing column applying the target operation strategy based on the rendering data, and binds the unique strategy identifier with the marketing column; in response to the situation that the user clicks the marketing column, column data of the marketing column are obtained, the column data are bound with the unique strategy identification, the column data are collected based on the client side, and the column data comprise background data generated after the user clicks the marketing column to enter the target marketing page; and extracting a target data set based on all the field data bound with the unique policy identifier. The invention further provides an operation data tracking device, equipment, a storage medium and a program product.

Description

Technical Field

[0001] The present disclosure relates to the fields of data processing and financial technology, and more specifically to an operational data tracking method, device, equipment, medium and program product. Background Art

[0002] In today's digital age, business operations cannot be separated from an efficient and flexible backend management system. This system not only helps improve work efficiency, but also provides strong support for corporate decision-making. For banking systems, there are also many operational backends, such as: branch management backend, product management backend, etc. Through these backends, operators can flexibly add and remove branches and products.

[0003] The traditional operation background mainly consists of three steps: first, the operation staff makes the operation configuration, and after the review is passed, the system writes the data to the background database; then, the customer opens the APP, the APP sends a real-time transaction request to the background, and the background returns the saved operation data; finally, after the client receives the data, it is rendered on the page and displayed to the customer.

[0004] The traditional operation backend has the following main shortcomings: First, the operation configuration of the operation personnel lacks the support of full-link performance data, or the full-link performance data is not strongly correlated; second, the operation strategy formulation of the operation personnel relies more on experience and lacks scientific automated strategy recommendations. Summary of the invention

[0005] In view of the above problems, the present disclosure provides an operation data tracking method, apparatus, device, medium and program product.

[0006] According to the first aspect of the present disclosure, an operation data tracking method is provided, the method comprising: generating a unique policy identifier for a target operation policy; in response to a policy acquisition request from a client, sending rendering data of the target operation policy to the client, so that the client renders at least one marketing field for applying the operation policy based on the rendering data, and binds the unique policy identifier to the marketing field; in response to a user clicking on the marketing field, acquiring field data of the marketing field, and binding the field data to the unique policy identifier, the field data being collected based on the client, the field data comprising background data generated after a user clicks on the marketing field to enter a target marketing page; extracting a target data set based on all the field data bound to the unique policy identifier, the target data set representing the operation effect data of the target operation policy during the operation process.

[0007] According to an embodiment of the present disclosure, extracting the target data set based on all the field data bound to the unique strategy identifier includes: acquiring the field data of all marketing fields bound to the unique strategy identifier to obtain the field data set; screening the target indicator data in the field data set to obtain the target data set, wherein the target indicator data is characteristic data in the field data set that characterizes the operational effect of the target operational strategy.

[0008] According to an embodiment of the present disclosure, the method also includes: performing effectiveness analysis in different operating dimensions according to the categories of the target indicator data included in the target data set, to obtain a single-dimensional effectiveness evaluation value of the target operating strategy in multiple operating dimensions; and / or standardizing the target indicator data of different categories in the target data set to obtain a standard evaluation value of the target indicator data of each category; performing weighted summation processing on the standard evaluation values ​​of the target indicator data of each category to obtain an overall effectiveness evaluation value of the target operating strategy.

[0009] According to an embodiment of the present disclosure, the method also includes: adjusting the target level of the target operation strategy according to the single-dimensional effectiveness evaluation value and / or the overall effectiveness evaluation value, the target level representing the operational effectiveness level of the target operation strategy; adjusting the number, category and location of the marketing columns where the target operation strategy is placed based on the target level to adjust the exposure of the target operation strategy, the target level being proportional to the exposure.

[0010] According to an embodiment of the present disclosure, the unique policy identifier is generated based on the target product name and the unique identification code, and the sending of the rendering data of the target operation policy to the client in response to the policy acquisition request of the client includes: in response to the policy acquisition request of the client, identifying the target product name contained in the policy acquisition request; matching the unique policy identifier based on the target product name, acquiring the rendering data of the target operation policy bound to the unique policy identifier; and sending the rendering data to the client.

[0011] According to an embodiment of the present disclosure, in response to a user clicking on the marketing field, obtaining the field data of the marketing field includes: in response to the user clicking on the marketing field, generating a data collection instruction to control the client to collect background data generated after the user clicks on the marketing field, and obtaining the field data, wherein the background data includes data generated by the user performing operations after entering the target marketing page.

[0012] The second aspect of the present disclosure provides an operation data tracking device, which includes: an identification generation module, which is used to generate a unique policy identification of a target operation strategy; a field binding module, which is used to send rendering data of the target operation strategy to the client in response to a policy acquisition request of the client, so that the client renders at least one marketing field that applies the operation strategy based on the rendering data, and binds the unique policy identification to the marketing field; a data collection module, which is used to obtain field data of the marketing field in response to a user clicking on the marketing field, and bind the field data to the unique policy identification, wherein the field data is collected based on the client, and the field data includes data generated after the user clicks on the marketing field to enter the target marketing page; a data statistics module, which is used to count all the field data bound to the unique policy identification and extract a target data set, wherein the target data set represents the operation effect data of the target operation strategy during the operation process.

[0013] A third aspect of the present disclosure provides an electronic device, comprising: one or more processors; and a memory for storing one or more computer programs, wherein the one or more processors execute the one or more computer programs to implement the steps of the above method.

[0014] The fourth aspect of the present disclosure further provides a computer-readable storage medium on which a computer program or instruction is stored, and the steps of the above method are implemented when the above computer program or instruction is executed by a processor.

[0015] The fifth aspect of the present disclosure further provides a computer program product, including a computer program or instructions, which implement the steps of the above method when the above computer program or instructions are executed by a processor. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] The above contents and other purposes, features and advantages of the present disclosure will become more apparent through the following description of the embodiments of the present disclosure with reference to the accompanying drawings, in which:

[0017] Figure 1 The application scenario diagram of the operation data tracking method, apparatus, device, medium and program product according to the embodiment of the present disclosure is schematically shown;

[0018] Figure 2 A flowchart of an operation data tracking method according to an embodiment of the present disclosure is schematically shown;

[0019] Figure 3 The following schematically shows an application diagram of the operation data tracking method according to an embodiment of the present disclosure;

[0020] Figure 4A schematic diagram showing a structural block diagram of an operation data tracking device according to an embodiment of the present disclosure; and

[0021] Figure 5 A block diagram of an electronic device suitable for implementing an operation data tracking method according to an embodiment of the present disclosure is schematically shown. DETAILED DESCRIPTION

[0022] Hereinafter, embodiments of the present disclosure will be described with reference to the accompanying drawings. However, it should be understood that these descriptions are exemplary only and are not intended to limit the scope of the present disclosure. In the following detailed description, for ease of explanation, many specific details are set forth to provide a comprehensive understanding of the embodiments of the present disclosure. However, it is apparent that one or more embodiments may also be implemented without these specific details. In addition, in the following description, descriptions of known structures and technologies are omitted to avoid unnecessary confusion of the concepts of the present disclosure.

[0023] The terms used herein are only for describing specific embodiments and are not intended to limit the present disclosure. The terms "comprise", "include", etc. used herein indicate the existence of the features, steps, operations and / or components, but do not exclude the existence or addition of one or more other features, steps, operations or components.

[0024] All terms (including technical and scientific terms) used herein have the meanings commonly understood by those skilled in the art unless otherwise defined. It should be noted that the terms used herein should be interpreted as having a meaning consistent with the context of this specification and should not be interpreted in an idealized or overly rigid manner.

[0025] When using expressions such as "at least one of A, B, and C, etc.", they should generally be interpreted according to the meaning of the expression commonly understood by those skilled in the art (for example, "a system having at least one of A, B, and C" should include but is not limited to a system having A alone, B alone, C alone, A and B, A and C, B and C, and / or A, B, C, etc.).

[0026] The operational data tracking method and device provided in the present disclosure can be used to track the effectiveness of operational strategies in product marketing scenarios in the financial field, and can also be used in any field other than the financial field. The application field of the operational data tracking method and device provided in the present disclosure is not limited.

[0027] The acquisition, transmission, storage, use, and processing of data in the technical solution of this application are in compliance with the relevant provisions of national laws and regulations. It should be noted that in the embodiments of this application, some existing solutions in the industry such as certain software, components, and models may be mentioned, and they should be considered as exemplary. Their purpose is only to illustrate the feasibility of the implementation of the technical solution of this application, but it does not mean that the applicant has or will necessarily use the solution.

[0028] In the technical solution of the present disclosure, the user information (including but not limited to user personal information, user image information, user device information, such as location information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved are all information and data authorized by the user or fully authorized by all parties, and the collection, storage, use, processing, transmission, provision, disclosure and application of the relevant data comply with relevant laws, regulations and standards, take necessary confidentiality measures, do not violate public order and good morals, and provide corresponding operation entrances for users to choose to authorize or refuse.

[0029] An embodiment of the present disclosure provides an operation data tracking method, which generates a unique policy identifier for a target operation policy; in response to a policy acquisition request from a client, the rendering data of the target operation policy is sent to the client, so that the client renders at least one marketing field of the application operation policy based on the rendering data, and binds the unique policy identifier to the marketing field; in response to a user clicking on a marketing field, the field data of the marketing field is acquired, and the field data is bound to the unique policy identifier, the field data is collected based on the client, and the field data includes background data generated after the user clicks on the marketing field to enter the target marketing page; based on all the field data bound to the unique policy identifier, a target data set is extracted, and the target data set represents the operation effect data of the target operation policy during the operation process.

[0030] Figure 1 The application scenario diagram of the operation data tracking method and device according to the embodiment of the present disclosure is schematically shown.

[0031] like Figure 1 As shown, the application scenario 100 according to this embodiment may include tracking the effectiveness of operational strategies in product marketing scenarios in the financial field. The network 104 is used to provide a medium for communication links between the first terminal device 101, the second terminal device 102, the third terminal device 103 and the server 105. The network 104 may include various connection types, such as wired, wireless communication links or optical fiber cables, etc.

[0032] The user can use the first terminal device 101, the second terminal device 102, and the third terminal device 103 to interact with the server 105 through the network 104 to receive or send messages, etc. Various communication client applications can be installed on the first terminal device 101, the second terminal device 102, and the third terminal device 103, such as shopping applications, web browser applications, search applications, instant messaging tools, email clients, social platform software, etc. (only as examples), and a marketing column can be set in each client application for product marketing.

[0033] The first terminal device 101, the second terminal device 102, and the third terminal device 103 may be various electronic devices having display screens and supporting web browsing, including but not limited to smart phones, tablet computers, laptop computers, desktop computers, and the like.

[0034] The server 105 may be a server that provides various services, such as a background management server (only as an example) that provides operation policy support when a user logs in to a client using the first terminal device 101, the second terminal device 102, or the third terminal device 103. The background management server may analyze and process the received data such as the policy acquisition request, and feed back the rendering information of the operation policy to the terminal device.

[0035] It should be noted that the operation data tracking method provided in the embodiment of the present disclosure can generally be executed by the server 105. Accordingly, the operation data tracking device provided in the embodiment of the present disclosure can generally be set in the server 105. The operation data tracking method provided in the embodiment of the present disclosure can also be executed by a server or server cluster that is different from the server 105 and can communicate with the first terminal device 101, the second terminal device 102, the third terminal device 103 and / or the server 105. Accordingly, the operation data tracking device provided in the embodiment of the present disclosure can also be set in a server or server cluster that is different from the server 105 and can communicate with the first terminal device 101, the second terminal device 102, the third terminal device 103 and / or the server 105.

[0036] It should be understood that Figure 1 The number of terminal devices, networks and servers in the embodiment is only for illustration. Any number of terminal devices, networks and servers may be provided according to implementation requirements.

[0037] The following will be based on Figure 1 The scene described by Figure 2~Figure 3 The operation data tracking method of the disclosed embodiment is described in detail.

[0038] Figure 2 The flowchart of the operation data tracking method according to the embodiment of the present disclosure is schematically shown.

[0039] like Figure 2 As shown, the operation data tracking method of this embodiment includes operations S210 to S240, and the transaction processing method can be executed sequentially.

[0040] In operation S210 , a unique policy identifier of a target operating policy is generated.

[0041] In the disclosed embodiment, the operation personnel formulate the operation strategy in the background; when the operation strategy is reviewed and approved, the system automatically generates a unique strategy identifier winID for each operation strategy, and saves it in the database table together with the operation strategy. Among them, an operation strategy editing interface can be provided for the operation personnel, and the operation strategy can be edited in each operation column of the operation strategy editing interface to improve the efficiency of operation strategy editing.

[0042] When the operator has reviewed the operation content, the system will dynamically generate a unique strategy identifier winID for each operation strategy based on the operation strategy type configured by the operator. The winID generation rule can be: operation type prefix (product category: PROD; menu category: MENU; activity category: ACTI) + 8-digit date + 8-digit self-incrementing number, such as: the first product category operated on January 1, 2024, the winID is PROD2024010100000001.

[0043] In operation S220, in response to the policy acquisition request of the client, rendering data of the target operation policy is sent to the client, so that the client renders at least one marketing field of the application operation policy based on the rendering data, and binds the unique policy identifier to the marketing field.

[0044] In the disclosed embodiment, the policy acquisition request may be a request automatically sent by the client to the server storing the target operation policy when the client is started, or may be a request sent by the client to the server storing the target operation policy after being triggered by the user during the operation of the client. The client may be a client such as a search engine, social media, a video platform, an information flow advertising platform, etc. The client may have a marketing column for placing advertisements, and the marketing column may be a column display in the client in the form of banner ads, text link ads, patch ads, information flow ads, pop-up ads, screen ads, floating ads, notice board ads, button ads, vertical banner ads, etc.

[0045] After the server obtains the policy acquisition request, operations S221 to S223 are executed.

[0046] In operation S221 , in response to a policy acquisition request from a client, a target product name included in the policy acquisition request is identified.

[0047] In operation S222 , the unique policy identifier is matched based on the target product name, and rendering data of the target operation policy bound to the unique policy identifier is obtained.

[0048] In operation S223 , the rendering data is sent to the client.

[0049] In a policy acquisition request, the target product name is the key to identifying the required policy information. When the client initiates a request, it usually explicitly specifies the name of the target product through the request parameters or the request body. After receiving the request, the server or backend system retrieves the corresponding policy information based on the target product name. The target product name can be a specific product identifier used in the request to identify the required policy information. It can be a unique number, name, or code of the product, etc.

[0050] In response to the client's policy acquisition request, identifying the target product name contained in the request is a prerequisite for obtaining the correct policy information. With a clear target product name, the server can accurately retrieve and return the required policy information, thereby supporting the client to provide users with a richer and more personalized service experience.

[0051] In operation S230, in response to the user clicking on the marketing field, the field data of the marketing field is obtained, and the field data is bound to the unique strategy identifier. The field data is collected based on the client, and the field data includes background data generated after the user clicks on the marketing field to enter the target marketing page.

[0052] In some embodiments, when a user clicks on a marketing column of a client (such as an advertisement or promotional link on a web page), it indicates that the user is attracted by the advertisement in the marketing column and is willing to learn more about it; the client responds to the user's click operation, generates a report and sends it to the server, so that the server knows the user's willingness to learn about the marketing column; after the server receives the report from the client, in response to the user clicking on the marketing column, the server generates a data collection instruction to control the client to collect the background data generated after the user clicks on the marketing column, and obtains the column data, wherein the background data includes the data generated after the user enters the target marketing page and performs operations; these data are bound to the unique policy identifier of the target operation strategy applied to the marketing column to facilitate further data processing.

[0053] For example, Alice's browser captures the click event at the moment of the click, and collects her device information (such as mobile phone model, operating system), current page URL, click time and other data; at the same time, the browser obtains a unique policy identifier bound to the marketing field (such as a link or pop-up window) associated with the click event from the local database; Alice's browser sends this data (including device information, page URL, click time, user session ID) to the server after binding it with the unique policy identifier; after receiving the data, the server stores it in the database and stores it together with other data bound to the unique policy identifier (such as ad browsing data generated by other users or other advertising channels). Among them, if Alice subsequently enters the target marketing page (such as the Spring Sale Product List Page) and browses multiple products, these browsing records will also be captured and bound to the unique policy identifier.

[0054] In operation S240, based on all the column data bound to the unique strategy identifier, a target data set is extracted, where the target data set represents the operation effect data of the target operation strategy during the operation process.

[0055] Operation S240 includes S241~S242.

[0056] In operation S241, the field data of all marketing fields bound to the unique strategy identifier are obtained to obtain a field data set.

[0057] For example, at each preset time, the server retrieves data from the database for all marketing fields associated with a specific unique strategy identifier. Marketing fields may include but are not limited to ad click buttons, coupon redemption links, product recommendation areas, etc. These data record the user's interaction with these fields. By collecting data from these fields, a "field data set" containing original information can be obtained.

[0058] In operation S242, the target indicator data in the column data set is filtered to obtain the target data set, where the target indicator data is feature data in the column data set that characterizes the operation effect of the target operation strategy.

[0059] In some embodiments, according to the unique strategy identifier, data directly related to the target operation strategy is filtered out from all column data, including all subsequent behavior data generated by users clicking on the marketing column, such as page browsing, product clicking, adding to shopping cart, purchase, etc. In the screening process, data irrelevant to the current strategy needs to be excluded, such as behavior data generated by users at other times or under other strategies. The filtered data is aggregated according to specific dimensions to better analyze the operation effect. Common aggregation dimensions include time (such as day, week, month), user group (such as new user, old user), product category, etc. Through aggregation, key indicators such as click-through rate, conversion rate, average order amount, user retention rate, etc. can be obtained. The aggregated data is deeply analyzed to evaluate the effect of the operation strategy. This includes comparing the operation effects of different time periods, different user groups or different product categories, and analyzing user behavior paths and conversion funnels. Through data analysis, the highlights and shortcomings in the operation strategy can be found, providing a basis for subsequent optimization. According to the analysis requirements, the target data set is extracted from the aggregated data. This set should contain all key indicators and data points used to characterize the effect of the operation strategy. The target data set will serve as an important basis for evaluating the effectiveness of operational strategies, and will be used to report to decision makers, develop optimization plans, or conduct further data mining.

[0060] Assume that an e-commerce platform is implementing an operation strategy called "limited-time discounts", the goal of which is to attract users to buy by lowering product prices, thereby increasing sales and user activity. Filter out all data related to the "limited-time discount" strategy from the database, including the time when users click on the "limited-time discount" marketing column, user ID, product ID, purchase time, purchase quantity, payment amount, etc. Exclude other user behavior data under non-"limited-time discount" strategies. Aggregate data by day and calculate key indicators such as daily click-through rate (number of users who click on the "limited-time discount" marketing column / total number of visiting users), conversion rate (number of users who purchase "limited-time discount" products / number of users who click on the "limited-time discount" marketing column), and average order amount (total payment amount / number of orders). At the same time, you can also perform aggregate analysis by user group (such as new users, old users) or product category. Analyze the changes in the operation effect of the "limited-time discount" strategy in different time periods, such as whether the click-through rate and conversion rate increase with the increase in discount intensity. Compare the differences in purchasing behavior between new and old users under the "limited-time discount" strategy to understand the demand characteristics of different user groups. Analyze the sales performance of different product categories under the "limited-time discount" strategy and identify hot-selling and unpopular products. Extract a data set containing key indicators such as daily click-through rate, conversion rate, average order amount, etc. as a data report on the operational effect of the "limited-time discount" strategy. This data set will be used to show the strategy effect to decision makers and guide subsequent operational strategy adjustments and optimizations.

[0061] In an embodiment of the present disclosure, if the data collection process involves collecting user information, the user's consent or authorization may be obtained before obtaining the user's information. For example, before operation S230, a request to obtain the user's information may be issued to the user. If the user agrees or authorizes that the user information may be obtained, operation S230 is performed.

[0062] According to the operation data tracking method provided by the embodiment of the present disclosure, the operation strategy is bound by a unique identifier, and the unique identifier is used as a mark in subsequent operations to continuously track the operation data generated by the operation strategy when it is placed in different marketing columns, thereby tracking the data generated by the operation strategy in an overall full-link manner. This method can solve the problem that the existing technology cannot track the marketing data of different advertising delivery channels in an overall way, resulting in the inability to evaluate the effect of the operation strategy as a whole.

[0063] Figure 3 The application diagram of the operation data tracking method according to the embodiment of the present disclosure is schematically shown.

[0064] like Figure 3 As shown, according to the operation data tracking method of the embodiment of the present disclosure, the tracking of operation data is completed interactively between the client and the server. The operation data tracking method mainly includes the following main steps.

[0065] First, the operation configuration tool provides operators with a visual background, through which they submit operation content and review it.

[0066] In the second step, the server generates a unique policy identifier for each target operation strategy. After the operator reviews the operation content, the server generates a unique policy identifier winID for each operation strategy based on the data type configured by the operator. The generation rule of winID is: operation type prefix (product category: PROD; menu category: MENU; activity category: ACTI) + 8-digit date + 8-digit self-increment number, such as: the first product category operated on January 1, 2024, the winID is PROD2024010100000001.

[0067] In the third step, when the customer opens the APP client, the client sends a request to the server, and the server returns the operation strategy of the corresponding marketing column and the unique strategy identifier winID. The client renders the operation strategy data to the APP page and displays it to the customer.

[0068] In the fourth step, after the customer browses the marketing column page of the client, the client collects the exposure events of the operation strategy (including winID). For example, when the customer clicks on a column on the page (such as a product module), the client collects the click event of the column data (including winID) and caches the winID locally on the client. After the customer enters the specific product page, the page takes out the winID from the local cache data and collects the data of the browsing event of the product page. If the customer finally clicks to buy, the client collects the purchase event of the product and clears the winID cached by the client. If the customer returns to the homepage after entering the product page and clicks on other columns, the client caches the new winID and collects the new click event.

[0069] In the fifth step, the client sends the collected data to the server; the server associates all exposure events, click events, purchase events and other embedded data through winID, counts the exposure, click volume, views of specific product pages, transaction volume, etc. of the marketing column, conducts funnel analysis, and compares key indicators such as click-through rate and conversion rate of each template horizontally. Operations staff can intuitively view the effectiveness of the target operation strategy in each marketing column.

[0070] The acquisition of the effectiveness of the target operation strategy in each marketing column includes operations S310 to S330.

[0071] In operation S310, effectiveness analysis of different operation dimensions is performed respectively according to the categories of target indicator data included in the target data set to obtain single-dimensional effectiveness evaluation values ​​of the target operation strategy in multiple operation dimensions.

[0072] In this step, the server system or analysts will analyze the effectiveness of the operation dimensions according to the different categories of target indicator data contained in the target data set. These dimensions may include but are not limited to user growth, user activity, conversion rate, retention rate, revenue growth rate, etc. Each dimension will be evaluated based on specific indicator data to obtain the effectiveness evaluation value of the target operation strategy under that dimension.

[0073] In addition to obtaining the single-dimensional effectiveness evaluation value of the target operation strategy in multiple operation dimensions, the overall effectiveness evaluation value of the target operation strategy can also be obtained according to S320.

[0074] In operation S320, target indicator data of different categories in the target data set are standardized to obtain standard evaluation values ​​of target indicator data of each category.

[0075] In operation S330, the standard evaluation values ​​of the target indicator data of each category are weighted and summed to obtain the overall effectiveness evaluation value of the target operation strategy.

[0076] Since target indicator data of different categories may have different dimensions and magnitudes, direct comparison or weighted summation may be inaccurate. Therefore, before conducting a comprehensive evaluation, these data need to be standardized to eliminate the impact of dimensions and magnitudes so that data of different categories can be compared and calculated on the same scale.

[0077] Assume that in the evaluation, we believe that the user growth dimension is the most important, with a weight of 0.4; the activity dimension is second, with a weight of 0.3; the conversion rate dimension is third, with a weight of 0.3. Then, the overall effectiveness evaluation value can be calculated using the following formula:

[0078] \text{Overall effectiveness evaluation value} = 0.4 \times \text{Standard evaluation value of user growth dimension} +0.3 \times \text{Standard evaluation value of activity dimension} + 0.3 \times \text{Standard evaluation value of conversion rate dimension} \] In this way, by combining single-dimensional effectiveness analysis, data standardization processing and weighted summation, a comprehensive and objective overall effectiveness evaluation value of the target operation strategy can be obtained.

[0079] The sixth step is to replace the columns with poor results of target operation strategies through analysis and comparison of operation results and horse racing mechanism, and automatically recommend the target operation strategies to marketing columns with better results, thus providing scientific and automated strategy recommendations based on manual operations.

[0080] In some embodiments, the target level of the target operation strategy can be adjusted according to the single-dimensional effectiveness evaluation value and / or the overall effectiveness evaluation value. The target level represents the level of operation effect of the target operation strategy. The better the operation effect, the higher the operation effect level and the higher the target level. The number, category and position of the marketing columns placed by the target operation strategy are adjusted based on the target level to adjust the exposure of the target operation strategy. The target level is proportional to the exposure.

[0081] For example, an e-commerce platform is running multiple marketing columns to promote its winter clothing series. These marketing columns are distributed in different locations such as the website homepage, product details page, and shopping cart page, and each column applies different target operation strategies (such as discount promotions, limited-time sales, discounts for purchases above a certain amount, etc.). The platform first collected the operation data of each marketing column over a period of time, including key indicators such as click-through rate, conversion rate, and sales. Through the analysis of these data, the platform found that the conversion rate of some columns was significantly higher than that of other columns, while some columns performed mediocre or even lower than expected. The platform introduced a horse racing mechanism to compare the columns with excellent performance (such as the columns with the highest conversion rate) with the columns with poor performance. Through comparative analysis, it further confirmed which strategies or column combinations were effective and which ones needed to be adjusted. Based on the results of the horse racing mechanism, the platform decided to replace those columns with poor performance and apply the strategies or column combinations that originally performed well to these positions. The platform adjusts the target level of the target operation strategy based on the single-dimensional effectiveness evaluation value (such as conversion rate, click-through rate) and overall effectiveness evaluation value (such as comprehensive score, ROI, etc.) of each marketing column. For example, the column with a conversion rate that is continuously higher than the industry average is promoted to a "gold medal column" with a higher target level, while the column with a lower conversion rate is demoted to a "column to be optimized". Based on the change in the target level, the platform automatically adjusts the exposure of each marketing column. For the "gold medal column" with a higher target level, the platform will increase the number of its placements, choose a more prominent position (such as the top carousel of the website homepage), and may add additional promotional resources (such as social media advertising, email marketing, etc.). On the contrary, for the "column to be optimized" with a lower target level, the platform will reduce its placement or adjust it to a position with lower exposure. Through the implementation of the above process, the e-commerce platform successfully optimized the layout and strategy combination of its marketing columns. The columns with excellent performance received more resources and attention, further amplifying their effectiveness; while the columns with poor performance were adjusted and optimized in a timely manner. In the end, the conversion rate, sales and other key indicators of the entire platform were significantly improved.

[0082] Based on the above operation data tracking method, the present disclosure also provides an operation data tracking device. Figure 4 The device is described in detail.

[0083] Figure 4 The structure block diagram of the operation data tracking device according to the embodiment of the present disclosure is schematically shown.

[0084] like Figure 4 As shown, the operation data tracking device 400 of this embodiment includes an identification generation module 410 , a field binding module 420 , a data collection module 430 and a data statistics module 440 .

[0085] The identifier generation module 410 is used to generate a unique policy identifier of the target operation policy. In one embodiment, the identifier generation module 410 can be used to perform the operation S210 described above, which will not be described in detail here.

[0086] The field binding module 420 is used to respond to the client's policy acquisition request, send the rendering data of the target operation policy to the client, so that the client renders at least one marketing field that applies the operation policy based on the rendering data, and binds the unique policy identifier to the marketing field. In one embodiment, the field binding module 420 can be used to perform the operation S220 described above, which will not be repeated here.

[0087] The data collection module 430 is used to obtain the field data of the marketing field in response to the user clicking the marketing field, and bind the field data to the unique strategy identifier, wherein the field data is collected based on the client, and the field data includes data generated after the user clicks the marketing field to enter the target marketing page. In one embodiment, the data collection module 430 can be used to perform the operation S230 described above, which will not be repeated here.

[0088] The data statistics module 440 is used to count all the column data bound to the unique strategy identifier and extract a target data set, wherein the target data set represents the operation effect data of the target operation strategy during the operation process. In one embodiment, the data statistics module 440 can be used to perform the operation S240 described above, which will not be repeated here.

[0089] According to an embodiment of the present disclosure, any multiple modules of the identification generation module 410, the column binding module 420, the data acquisition module 430 and the data statistics module 440 can be combined in one module for implementation, or any one of the modules can be split into multiple modules. Alternatively, at least part of the functions of one or more of these modules can be combined with at least part of the functions of other modules and implemented in one module. According to an embodiment of the present disclosure, at least one of the identification generation module 410, the column binding module 420, the data acquisition module 430 and the data statistics module 440 can be at least partially implemented as a hardware circuit, such as a field programmable gate array (FPGA), a programmable logic array (PLA), a system on a chip, a system on a substrate, a system on a package, an application specific integrated circuit (ASIC), or can be implemented by hardware or firmware such as any other reasonable way of integrating or packaging the circuit, or implemented in any one of the three implementation methods of software, hardware and firmware or in an appropriate combination of any of them. Alternatively, at least one of the identification generation module 410, the field binding module 420, the data collection module 430 and the data statistics module 440 may be at least partially implemented as a computer program module, and when the computer program module is executed, the corresponding function may be executed.

[0090] Figure 5 A block diagram of an electronic device suitable for implementing an operation data tracking method according to an embodiment of the present disclosure is schematically shown.

[0091] like Figure 5 As shown, the electronic device 500 according to an embodiment of the present disclosure includes a processor 501, which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 502 or a program loaded from a storage part 508 to a random access memory (RAM) 503. The processor 501 may include, for example, a general-purpose microprocessor (such as a CPU), an instruction set processor and / or a related chipset and / or a special-purpose microprocessor (for example, an application-specific integrated circuit (ASIC)), etc. The processor 501 may also include an onboard memory for caching purposes. The processor 501 may include a single processing unit or multiple processing units for performing different actions of the method flow according to an embodiment of the present disclosure.

[0092] In RAM 503, various programs and data required for the operation of electronic device 500 are stored. Processor 501, ROM 502 and RAM 503 are connected to each other via bus 504. Processor 501 performs various operations of the method flow according to the embodiment of the present disclosure by executing the program in ROM 502 and / or RAM 503. It should be noted that the program can also be stored in one or more memories other than ROM 502 and RAM 503. Processor 501 can also perform various operations of the method flow according to the embodiment of the present disclosure by executing the program stored in the one or more memories.

[0093] According to an embodiment of the present disclosure, the electronic device 500 may further include an input / output (I / O) interface 505, which is also connected to the bus 504. The electronic device 500 may further include one or more of the following components connected to the input / output (I / O) interface 505: an input portion 506 including a keyboard, a mouse, etc.; an output portion 507 including a cathode ray tube (CRT), a liquid crystal display (LCD), etc., and a speaker, etc.; a storage portion 508 including a hard disk, etc.; and a communication portion 509 including a network interface card such as a LAN card, a modem, etc. The communication portion 509 performs communication processing via a network such as the Internet. A drive 510 is also connected to the input / output (I / O) interface 505 as needed. A removable medium 511, such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, etc., is installed on the drive 510 as needed, so that a computer program read therefrom is installed into the storage portion 508 as needed.

[0094] The present disclosure also provides a computer-readable storage medium, which may be included in the device / apparatus / system described in the above embodiments; or may exist independently without being assembled into the device / apparatus / system. The above computer-readable storage medium carries one or more programs, and when the above one or more programs are executed, the method according to the embodiment of the present disclosure is implemented.

[0095] According to an embodiment of the present disclosure, the computer-readable storage medium may be a non-volatile computer-readable storage medium, for example, it may include but is not limited to: a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination thereof. In the present disclosure, a computer-readable storage medium may be any tangible medium containing or storing a program, which may be used by or in combination with an instruction execution system, an apparatus or a device. For example, according to an embodiment of the present disclosure, the computer-readable storage medium may include the ROM 502 and / or RAM 503 described above and / or one or more memories other than ROM 502 and RAM 503.

[0096] The embodiment of the present disclosure also includes a computer program product, which includes a computer program, and the computer program contains program code for executing the method shown in the flowchart. When the computer program product is run in a computer system, the program code is used to enable the computer system to implement the operation data tracking method provided by the embodiment of the present disclosure.

[0097] The above functions defined in the system / device of the embodiment of the present disclosure are performed when the computer program is executed by the processor 501. According to the embodiment of the present disclosure, the system, device, module, unit, etc. described above can be implemented by a computer program module.

[0098] In one embodiment, the computer program may rely on tangible storage media such as optical storage devices, magnetic storage devices, etc. In another embodiment, the computer program may also be transmitted and distributed in the form of signals on a network medium, and downloaded and installed through the communication part 509, and / or installed from the removable medium 511. The program code contained in the computer program may be transmitted using any appropriate network medium, including but not limited to: wireless, wired, etc., or any suitable combination of the above.

[0099] In such an embodiment, the computer program can be downloaded and installed from the network through the communication part 509, and / or installed from the removable medium 511. When the computer program is executed by the processor 501, the above functions defined in the system of the embodiment of the present disclosure are performed. According to the embodiment of the present disclosure, the system, device, means, module, unit, etc. described above can be implemented by a computer program module.

[0100] According to an embodiment of the present disclosure, the program code for executing the computer program provided by the embodiment of the present disclosure can be written in any combination of one or more programming languages. Specifically, these computing programs can be implemented using high-level process and / or object-oriented programming languages, and / or assembly / machine languages. Programming languages ​​include, but are not limited to, Java, C++, python, "C" language or similar programming languages. The program code can be executed entirely on the user computing device, partially on the user device, partially on the remote computing device, or entirely on the remote computing device or server. In the case of a remote computing device, the remote computing device can be connected to the user computing device through any type of network, including a local area network (LAN) or a wide area network (WAN), or can be connected to an external computing device (for example, using an Internet service provider to connect through the Internet).

[0101] The flow charts and block diagrams in the accompanying drawings illustrate the possible architecture, functions and operations of the systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each box in the flow chart or block diagram can represent a module, a program segment, or a part of a code, and the above-mentioned module, program segment, or a part of a code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in a different order from the order marked in the accompanying drawings. For example, two boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram or flow chart, and the combination of the boxes in the block diagram or flow chart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0102] It will be appreciated by those skilled in the art that the features described in the various embodiments of the present disclosure may be combined and / or combined in a variety of ways, even if such combinations or combinations are not explicitly described in the present disclosure. In particular, without departing from the spirit and teachings of the present disclosure, the features described in the various embodiments of the present disclosure may be combined and / or combined in a variety of ways. All of these combinations and / or combinations fall within the scope of the present disclosure.

[0103] The embodiments of the present disclosure are described above. However, these embodiments are only for illustrative purposes and are not intended to limit the scope of the present disclosure. Although the embodiments are described above, this does not mean that the measures in the various embodiments cannot be used in combination to advantage. Without departing from the scope of the present disclosure, those skilled in the art may make a variety of substitutions and modifications, which should all fall within the scope of the present disclosure.

Claims

1. An operation data tracking method, characterized in that: The method comprises: Generate a unique policy identifier for the target operation policy; In response to a policy acquisition request from a client, the rendering data of the target operation policy is sent to the client, so that the client renders at least one marketing field that applies the target operation policy based on the rendering data, and binds the unique policy identifier to the marketing field; In response to a user clicking on the marketing field, obtaining field data of the marketing field, and binding the field data to the unique strategy identifier, wherein the field data is collected based on the client, and the field data includes background data generated after the user clicks on the marketing field to enter a target marketing page; Based on all the field data bound to the unique strategy identifier, a target data set is extracted, wherein the target data set represents the operation effect data of the target operation strategy during the operation process.

2. The method according to claim 1, characterized in that The extracting the target data set based on all the field data bound to the unique policy identifier includes: Acquire the field data of all marketing fields bound to the unique strategy identifier to obtain a field data set; The target indicator data in the column data set is screened to obtain the target data set, wherein the target indicator data is characteristic data in the column data set that characterizes the operation effect of the target operation strategy.

3. The method according to claim 1, characterized in that The method further comprises: According to the categories of the target indicator data included in the target data set, respectively, effectiveness analysis is performed in different operation dimensions to obtain single-dimensional effectiveness evaluation values ​​of the target operation strategy in multiple operation dimensions; and / or Standardizing target indicator data of different categories in the target data set to obtain standard evaluation values ​​of the target indicator data of each category; The standard evaluation values ​​of the target indicator data of each category are weighted and summed to obtain the overall effectiveness evaluation value of the target operation strategy.

4. The method according to claim 3, characterized in that The method further comprises: Adjusting the target level of the target operation strategy according to the single-dimensional effectiveness evaluation value and / or the overall effectiveness evaluation value, wherein the target level represents the level of operation effect of the target operation strategy; The number, category and location of the marketing columns where the target operation strategy is placed are adjusted based on the target level to adjust the exposure of the target operation strategy, and the target level is proportional to the exposure.

5. The method according to claim 1, characterized in that The unique policy identifier is generated based on the target product name and the unique identification code, and the sending of the rendering data of the target operation policy to the client in response to the policy acquisition request of the client includes: In response to a policy acquisition request from the client, identifying a target product name included in the policy acquisition request; Based on matching the target product name with the unique policy identifier, obtaining rendering data of the target operation policy bound to the unique policy identifier; The rendering data is sent to the client.

6. The method according to claim 1, characterized in that In response to the user clicking on the marketing field, obtaining the field data of the marketing field includes: In response to the user clicking on the marketing field, a data collection instruction is generated to control the client to collect the background data generated after the user clicks on the marketing field, and obtain the field data. The background data includes the data generated by the user performing operations after entering the target marketing page.

7. An operation data tracking device, characterized in that: The device comprises: An identification generation module, used to generate a unique policy identification for a target operation policy; A field binding module, configured to send rendering data of the target operation policy to the client in response to a policy acquisition request from the client, so that the client renders at least one marketing field applying the target operation policy based on the rendering data, and binds the unique policy identifier to the marketing field; A data collection module, for obtaining field data of the marketing field in response to a user clicking on the marketing field, and binding the field data with the unique strategy identifier, wherein the field data is collected based on the client, and the field data includes data generated after the user clicks on the marketing field to enter a target marketing page; The data statistics module is used to count all the column data bound to the unique strategy identifier and extract a target data set, wherein the target data set represents the operation effect data of the target operation strategy during the operation process.

8. An electronic device, comprising: one or more processors; a memory for storing one or more computer programs, It is characterized in that the one or more processors execute the one or more computer programs to implement the steps of the method according to any one of claims 1 to 6.

9. A computer-readable storage medium having a computer program or instruction stored thereon, characterized in that: When the computer program or instruction is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

10. A computer program product comprising a computer program or instructions, characterized in that When the computer program or instruction is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

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