Promotion efficiency improving method based on automatic rules

Abstract

The invention belongs to the technical field of data processing, and discloses an automatic rule-based promotion efficiency improvement method, which comprises the following steps of: scene selection: selecting an APP home page focus picture as a promotion area; and establishing a screening standard: collecting click rates of focus picture contents in nearly seven days and user stay duration data, calculating an average value, setting an average value lower than 75% as an offline standard, and setting an average value of 75%-100% as a transposition delivery standard. Data are regularly detected and collected through an automatic tool, manual operation is simplified, market changes are quickly responded, and a popularization strategy is adjusted; formulating a screening standard according to the user behavior data to ensure that the focus picture content conforms to the user interest; poor content is offline, performance content such as transposition is achieved, and the satisfaction degree and loyalty degree of a user are improved; and an automatic mechanism keeps high quality of the content, and the click rate and the conversion rate are improved, so that the content popularization efficiency of the APP home page focus picture is improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of data processing, and specifically is a promotion efficiency improvement method based on automatic rules. Background Art

[0002] Faced with a vast amount of information, the recommendation system provides users with an efficient way to obtain content. In some scenarios, we need to push content to users in a targeted manner. For example, high-quality information, commercial placement, hot spot distribution, etc. In the process of content promotion, some content performs well, such as high click-through rate and high average time per person, while some content performs poorly. Then it is a problem worth studying to remove the content with poor performance or move it to other locations with low exposure to improve the efficiency of content promotion.

[0003] Currently, the screening of promotional content with poor effects is mainly done by manually checking the effect data, judging based on the content effect, and then removing the unqualified content offline or transferring it to other locations with low exposure rates for delivery; due to the large amount of content promoted every day, hundreds or even thousands of content are promoted every day during major events, such as auto shows; relying on manual screening is time-consuming, labor-intensive, and inefficient. Therefore, it needs to be improved. Summary of the invention

[0004] The purpose of the present invention is to provide a promotion efficiency improvement method based on automatic rules to solve the problems raised in the above background technology.

[0005] In order to achieve the above object, the present invention provides the following technical solution: a promotion efficiency improvement method based on automatic rules, comprising the following steps:

[0006] S1. Select the scene: select the focus picture on the APP homepage as the promotion area;

[0007] S2. Formulate screening criteria: Collect the click-through rate and user stay time data of the focus image content in the past seven days, calculate the average value, set the average value below 75% as the lower limit standard, and the average value between 75% and 100% as the replacement delivery standard;

[0008] S3. Set up scheduled detection tasks: Use automated tools to set up scheduled detection, run at a fixed time every day or every week, automatically collect current focus image data, compare it with the screening criteria, remove content that does not meet the criteria, and replace it with content with medium performance;

[0009] S4. Monitoring and optimization: Regularly monitor the overall performance of the focus graph and adjust the screening criteria and detection frequency based on data feedback.

[0010] Preferably, in S2:

[0011] For content with a 75%-100% average, it can be moved to a location with lower exposure for further promotion to test its performance in different locations.

[0012] Preferably, in S3:

[0013] The automation tool will automatically collect the content data of the current focus image, including click-through rate, user stay time, etc. According to the previously set filtering criteria, the automation tool will automatically filter out the content that needs to be taken offline and the content that needs to be relocated.

[0014] Preferably, in S3:

[0015] For content that needs to be taken offline, the automated tool will remove it from the focus image area. For content that needs to be relocated, the automated tool will move it to a location with lower exposure and update the relevant information in the database.

[0016] Preferably, the automated tool will record the results of each detection and processing, including the content that is taken offline, the content that is relocated and delivered, and the processing time.

[0017] Preferably, in S1:

[0018] When selecting a scene, clarify the characteristics of the scene and give priority to content with a large amount of content, rich styles and clear restrictions.

[0019] Preferably, after selecting the scenario, the promotion goal is determined, mainly focusing on improving user click-through rate, increasing the length of time users stay in the APP, and improving brand exposure and user stickiness.

[0020] Preferably, in S4:

[0021] Regularly monitor the overall performance of the focus image area, including changes in key indicators such as click-through rate and user stay time; based on the monitoring results, timely adjust the screening criteria and the frequency of detection tasks to optimize the promotion effect.

[0022] The beneficial effects of the present invention are as follows:

[0023] The present invention uses automated tools to regularly detect and collect data, thereby simplifying manual operations, quickly responding to market changes, and adjusting promotion strategies; formulating screening criteria based on user behavior data to ensure that the focus image content meets user interests; removing poor content and replacing it with medium-performing content to improve user satisfaction and loyalty; the automated mechanism maintains high content quality, increases click-through rate and conversion rate, and thus improves the content promotion efficiency of the focus image on the APP homepage. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] Figure 1 It is the overall structural framework diagram of the present invention. DETAILED DESCRIPTION

[0025] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0026] like Figure 1 As shown, an embodiment of the present invention provides a promotion efficiency improvement method based on automatic rules, comprising the following steps:

[0027] S1. Select the scene: select the focus picture on the APP homepage as the promotion area;

[0028] S2. Formulate screening criteria: Collect the click-through rate and user stay time data of the focus image content in the past seven days, calculate the average value, set the average value below 75% as the lower limit standard, and the average value between 75% and 100% as the replacement delivery standard;

[0029] S3. Set up scheduled detection tasks: Use automated tools to set up scheduled detection, run at a fixed time every day or every week, automatically collect current focus image data, compare it with the screening criteria, remove content that does not meet the criteria, and replace it with content with medium performance;

[0030] S4. Monitoring and optimization: Regularly monitor the overall performance of the focus graph and adjust the screening criteria and detection frequency based on data feedback.

[0031] Through automated tools, regular detection and data collection can be carried out to simplify manual operations, quickly respond to market changes, and adjust promotion strategies. Screening criteria are formulated based on user behavior data to ensure that the focus image content meets user interests. Poor content is removed and replaced with medium-performing content to improve user satisfaction and loyalty. The automated mechanism maintains high content quality, increases click-through rate and conversion rate, and thus improves the content promotion efficiency of the focus image on the APP homepage.

[0032] Among them, in S2:

[0033] For content with a 75%-100% average, it can be moved to a location with lower exposure for further promotion to test its performance in different locations.

[0034] By moving these medium-performing but still promising content to positions with lower exposure, APP promotion resources can be used more effectively. This avoids concentrating all resources on a few high-performing content, but instead distributes resources more widely to more content to explore their potential value.

[0035] Among them, in S3:

[0036] The automation tool will automatically collect the content data of the current focus image, including click-through rate, user stay time, etc. According to the previously set filtering criteria, the automation tool will automatically filter out the content that needs to be taken offline and the content that needs to be relocated.

[0037] Automated tools can quickly process large amounts of data and analyze the performance of the focus image content in real time, so as to quickly make decisions on whether to take it offline or relocate it. This greatly shortens the time for manual data analysis and strategy formulation, and improves overall work efficiency; the use of automated tools reduces the need for manual operations and reduces labor costs. At the same time, by optimizing promotion strategies, the efficiency of resource utilization is improved, further saving costs.

[0038] Among them, in S3:

[0039] For content that needs to be taken offline, the automated tool will remove it from the focus image area. For content that needs to be relocated, the automated tool will move it to a location with lower exposure and update the relevant information in the database.

[0040] Offline content that does not meet the standards can be immediately removed from the focus area, preventing users from continuing to see invalid or low-attractive content, thereby improving the user experience; relocating content to locations with lower exposure helps test its performance in different locations, providing data support for future promotion strategies and achieving continuous optimization of promotion effects; automated tool processing reduces the complexity and time cost of manual operations, while reducing potential errors caused by human intervention.

[0041] Among them, the automated tool will record the results of each detection and processing, including the content that is taken offline, the content that is relocated, and the processing time.

[0042] By recording detailed information about offline content and repositioned content, we can conduct in-depth analysis of the performance of these contents in different time periods and locations, and provide data support for future promotion strategies; this data can also be used to evaluate the effectiveness of automation tools, further optimize screening criteria and processing logic, and improve promotion efficiency.

[0043] Among them, in S1:

[0044] When selecting a scene, clarify the characteristics of the scene and give priority to content with a large amount of content, rich styles and clear restrictions.

[0045] A large number of content displays means more opportunities to display and promote content, which helps to increase the exposure and conversion rate of content; scenarios with rich styles and clear restrictions can reduce the complexity of content screening and delivery, and improve the processing efficiency and accuracy of automated tools.

[0046] Among them, after selecting the scenario, the promotion goal is determined, mainly focusing on improving user click-through rate, increasing user stay time in the APP, and improving brand exposure and user stickiness.

[0047] Increasing user click-through rates and increasing the length of time users stay in the app means that the content is more able to attract users' attention and interest, improving user experience and satisfaction; improving user experience helps increase user stickiness and loyalty, and promotes long-term user retention and activity.

[0048] Among them, in S4:

[0049] Regularly monitor the overall performance of the focus image area, including changes in key indicators such as click-through rate and user stay time; based on the monitoring results, timely adjust the screening criteria and the frequency of detection tasks to optimize the promotion effect.

[0050] Based on the monitoring results, the screening criteria can be continuously adjusted and optimized to ensure that the content displayed to users always maintains a high quality level; this helps to improve user experience and satisfaction, and increase user stickiness and loyalty.

[0051] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0052] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A promotion efficiency improvement method based on automatic rules, characterized by: The promotion and efficiency improvement method includes the following steps: S1. Select the scene: select the focus picture on the APP homepage as the promotion area; S2. Formulate screening criteria: Collect the click-through rate and user stay time data of the focus image content in the past seven days, calculate the average value, set the average value below 75% as the lower limit standard, and the average value between 75% and 100% as the replacement delivery standard; S3. Set up scheduled detection tasks: Use automated tools to set up scheduled detection, run at a fixed time every day or every week, automatically collect current focus image data, compare it with the screening criteria, remove content that does not meet the criteria, and replace it with content with medium performance; S4. Monitoring and optimization: Regularly monitor the overall performance of the focus graph and adjust the screening criteria and detection frequency based on data feedback.

2. The method for improving promotion efficiency based on automatic rules according to claim 1, characterized in that: In S2, the content with an average value of 75%-100% is transferred to a position with a lower exposure rate for further promotion to test its performance in different positions.

3. The method for improving promotion efficiency based on automatic rules according to claim 1, characterized in that: The automation tool in S3 will automatically collect the currently effective focus image content data, including click-through rate and user stay time. According to the previously set screening criteria, the automation tool will automatically screen out the content that needs to be taken offline and the content that needs to be relocated.

4. The method for improving promotion efficiency based on automatic rules according to claim 1, characterized in that: In the S3, for the content that needs to be taken offline, the automation tool will remove it from the focus image area. For the content that needs to be relocated, the automation tool will move it to a position with lower exposure and update the relevant information in the database.

5. The method for improving promotion efficiency based on automatic rules according to claim 1, characterized in that: The automated tool will record the results of each detection and processing, including the content that was taken offline, the content that was relocated, and the processing time.

6. The method for improving promotion efficiency based on automatic rules according to claim 1, characterized in that: When selecting a scene in S1, the characteristics of the scene are clarified, and priority is given to contents with a large number of contents to be displayed, rich styles and clear restrictions.

7. The method for improving promotion efficiency based on automatic rules according to claim 1, characterized in that: After selecting the scenario, determine the promotion goal, mainly focusing on increasing user click-through rate, increasing the length of time users stay in the APP, and improving brand exposure and user stickiness.

8. The method for improving promotion efficiency based on automatic rules according to claim 1, characterized in that: In the S4, the overall performance of the focus image area is regularly monitored, including changes in key indicators such as click-through rate and user stay time; based on the monitoring results, the screening criteria and the frequency of the detection tasks are adjusted in a timely manner to optimize the promotion effect.

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