Advertisement putting monitoring management method and system based on data acquisition

Abstract

The invention relates to the technical field of advertisement putting management, in particular to an advertisement putting monitoring management method and system based on data acquisition, and the method comprises the steps: carrying out the statistics of an advertisement putting platform, marking the advertisement putting platform as each advertisement putting point, obtaining the activeness evaluation index of each advertisement putting point through processing, and formulating an initial advertisement putting strategy for advertisement putting; according to the initial advertisement putting strategy, carrying out processing to obtain an advertisement putting strength evaluation value of each advertisement putting point, and carrying out comprehensive analysis to obtain an advertisement putting effect evaluation index of each advertisement putting point; according to the advertisement putting monitoring management method and system based on the data acquisition, the advertisement putting effect is evaluated, the advertisement putting strategy is adjusted in real time according to the evaluation result, more comprehensive and deeper advertisement effect evaluation can be provided for advertisers, the advertisers are helped to make more intelligent decisions in the market with intense competition, and the advertisement putting management efficiency is improved. And the overall effect and the investment return of advertisement putting are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of advertising placement management, and specifically to an advertising placement monitoring and management method and system based on data collection. Background Art

[0002] With the continuous growth of China's economy, the scale of the advertising market has been expanding. However, the diversification of advertising placement channels and the complexity of placement forms have brought many challenges to advertisers in monitoring and managing the advertising placement effects. In recent years, technologies such as big data, artificial intelligence, and blockchain have been widely applied in the advertising industry. The development of these technologies has provided new possibilities for advertising placement monitoring and management, and also raised higher requirements for monitoring and management methods by advertisers.

[0003] For example, the invention patent with the publication number: CN118071417A is an advertising placement effect monitoring and management system based on deep learning, including an advertising space historical data collection module, a data preprocessing module, a CNN-based feature extraction module, an SVM model training module, an SVM model parameter optimization module, and an advertising effect monitoring and prediction module. By adding the CNN feature extraction module, the system performs feature extraction and downsampling processing on the relevant historical data of each advertising space. Combining with the SVM model training module, the training set output by the CNN feature extraction module is used as the input data of the SVM model to train the SVM model. Then, the test set output by the CNN feature extraction module is used to test the trained SVM model to generate a complete SVM model; by introducing the advertising effect monitoring and prediction module, the trained SVM model is used to predict the advertising effect, and the fluctuation and change of the advertising effect are monitored in real time through the effect monitoring unit. The prediction result is compared with the actual effect, and the advertising placement strategy is adjusted in time to improve the effect.

[0004] For example, the invention patent with the announcement number: CN116823349B is an advertising placement monitoring and management method and system based on data collection, including a target elevator advertising placement information acquisition module, a historical reference elevator advertisement recognition module, a historical reference elevator advertisement inclined audience induction module, an estimated audience number determination module, a target elevator advertising placement adaptation judgment module, an estimated demand placement duration evaluation module, a target elevator advertisement attention heat analysis module, and an estimated demand placement duration correction display terminal.

[0005] However, in the process of implementing the technical solutions of the present invention in the embodiments of the present application, it is found that the above technologies have at least the following technical problems: Since the advertising placement management system of the existing system fails to achieve seamless integration of multiple data sources, it is often difficult to accurately evaluate the advertising placement effects on different platforms, resulting in low advertising placement efficiency. Summary of the Invention

[0006] In view of the deficiencies of the prior art, the present invention provides an advertising placement monitoring and management method and system based on data collection, which can effectively solve the problems involved in the above-mentioned background technology.

[0007] To achieve the above objectives, the present invention is realized through the following technical solutions: In the first aspect of the present invention, an advertising placement monitoring and management method based on data collection is provided, including: counting advertising placement platforms, marking them as each advertising placement point, collecting basic data of each advertising placement point, obtaining the activity evaluation index of each advertising placement point through processing, and formulating an initial advertising placement strategy according to the activity evaluation index of each advertising placement point for advertising placement.

[0008] According to the initial advertising placement strategy, obtain the advertising placement intensity evaluation value of each advertising placement point, acquire the advertising placement data of each advertising placement point, and monitor the user interaction data of each advertising placement point, and comprehensively analyze to obtain the advertising placement effect evaluation index of each advertising placement point.

[0009] Evaluate the advertising placement according to the advertising placement effect evaluation index of each advertising placement point, and adjust the advertising placement strategy in real time according to the evaluation result.

[0010] As a further method, the process of obtaining the activity evaluation index of each advertising placement point through processing is as follows: The basic data of each advertising placement point includes: the number of daily active users of each advertising placement point, the average online duration of each user, the page view volume of each user, and the interaction rate of each user within a preset monitoring period.

[0011] Extract the critical number of daily active users, the critical average online duration of users, the critical page view volume of users, and the critical interaction rate of users from the database of the monitoring and management system.

[0012] According to the basic data of each advertising placement point, obtain the activity evaluation index of each advertising placement point. The activity evaluation index of each advertising placement point is used to quantitatively evaluate the user activity degree of each advertising placement point and provide a basis for formulating the initial advertising placement strategy.

[0013] As a further method, the process of formulating an initial advertising placement strategy according to the activity evaluation index of each advertising placement point for advertising placement is as follows: Extract the first reference index of the activity of the advertising placement point and the second reference index of the activity of the advertising placement point from the database of the monitoring and management system, and compare the activity evaluation index of each advertising placement point with the first reference index of the activity of the advertising placement point and the second reference index of the activity of the advertising placement point.

[0014] If the activity evaluation index of a certain advertising placement point is greater than or equal to the first reference index of the activity of the advertising placement point, mark this advertising placement point as a high-activity advertising placement point.

[0015] If the activity evaluation index of an advertising placement point is greater than the second reference index of the advertising placement point activity and less than the first reference index of the advertising placement point activity, then mark the advertising placement point as a medium-activity advertising placement point.

[0016] If the activity evaluation index of an advertising placement point is less than or equal to the second reference index of the advertising placement point activity, then mark the advertising placement point as a low-activity advertising placement point.

[0017] Formulate initial advertising placement strategies for advertising placement points with different levels of activity and conduct advertising placement.

[0018] As a further method, obtain the advertising placement intensity evaluation values of each advertising placement point. The specific process is as follows: The initial advertising placement strategy includes: the total advertising placement duration of each advertising placement point, the advertising placement frequency of each advertising placement point during the placement period, and the proportion of the advertising page.

[0019] Extract the critical advertising placement duration, critical advertising placement frequency, reference standard advertising page proportion, and allowable deviation advertising page proportion from the monitoring and management system database.

[0020] According to the initial advertising placement strategy, obtain the advertising placement intensity evaluation values of each advertising placement point. The advertising placement intensity evaluation values of each advertising placement point are used to quantitatively evaluate the advertising placement intensity of each advertising placement point and provide a basis for evaluating the advertising placement effect of each advertising placement point.

[0021] As a further method, the advertising placement data of each advertising placement point includes: the advertising click-through rate, advertising interaction rate, and advertising conversion rate of each advertising placement point during the preset monitoring period.

[0022] The user interaction data of each advertising placement point includes: the user bounce rate and page stay time of each advertising placement point during the preset monitoring period.

[0023] As a further method, the specific analysis process for comprehensively analyzing the advertising placement effect evaluation index of each advertising placement point is as follows: Extract the critical advertising click-through rate, critical advertising interaction rate, critical advertising conversion rate, critical user bounce rate, and critical page stay time from the monitoring and management system database.

[0024] According to the advertising placement data of each advertising placement point, the user interaction data of each advertising placement point, and the advertising placement intensity evaluation values of each advertising placement point, comprehensively analyze the advertising placement effect evaluation index of each advertising placement point. The advertising placement effect evaluation index of each advertising placement point is used to quantitatively evaluate the advertising placement effect of each advertising placement point and provide a basis for determining whether to adjust the advertising placement strategy.

[0025] As a further method, the advertising placement is evaluated according to the advertising placement effect evaluation index of each advertising placement point. The specific evaluation process is as follows: The advertising placement effect evaluation indexes of each advertising placement point are averaged to obtain the average value of the advertising placement effect evaluation.

[0026] The advertising placement effect evaluation threshold is extracted from the monitoring and management system database. The average value of the advertising placement effect evaluation is compared with the advertising placement effect evaluation threshold. If the average value of the advertising placement effect evaluation is greater than or equal to the advertising placement effect evaluation threshold, the advertising placement effect is evaluated as qualified, and the advertising placement strategy of each advertising placement point is adjusted. If the average value of the advertising placement effect evaluation is less than the advertising placement effect evaluation threshold, the advertising placement effect is evaluated as unqualified, and an analysis of the unqualified problems is carried out.

[0027] As a further method, the advertising placement strategy is adjusted in real time according to the evaluation results. The specific process is as follows: The advertising placement effect evaluation index range of the advertising placement point is extracted from the monitoring and management system database. The advertising placement effect evaluation index of each advertising placement point is compared with the advertising placement effect evaluation index range of the advertising placement point. If the advertising placement effect evaluation index of a certain advertising placement point is higher than the maximum value of the range, the advertising placement intensity of this advertising placement point is increased. If the advertising placement effect evaluation index of a certain advertising placement point is within the range, there is no need to adjust the advertising placement strategy of this advertising placement point. If the advertising placement effect evaluation index of a certain advertising placement point is lower than the minimum value of the range, the advertising placement intensity of this advertising placement point is reduced.

[0028] As a further method, the advertising placement effect evaluation index of each advertising placement point has the following specific numerical expression:

[0029]

[0030] In the formula, μ d represents the advertising placement effect evaluation index of the d-th advertising placement point, represents the advertising placement intensity evaluation value of the d-th advertising placement point, J d represents the advertising click-through rate of the d-th advertising placement point within the preset monitoring period, H d represents the advertising interaction rate of the d-th advertising placement point within the preset monitoring period, Z d represents the advertising conversion rate of the d-th advertising placement point within the preset monitoring period, C d represents the user bounce rate of the d-th advertising placement point within the preset monitoring period, T dLet \(J_d\) represent the page residence time of the \(d\)th advertising placement point within the preset monitoring period, \(\Delta J\) represent the critical advertising click-through rate, \(\Delta H\) represent the critical advertising interaction rate, \(\Delta Z\) represent the critical advertising conversion rate, \(\Delta C\) represent the critical user bounce rate, and \(\Delta T\) represent the critical page residence time.

[0031] The second aspect of the present invention provides an advertising placement monitoring and management system based on data collection, including: a planned advertising placement module, an advertising placement effect analysis module, and an evaluation and feedback module.

[0032] The planned advertising placement module is used to count the advertising placement platforms, mark each advertising placement point, collect the basic data of each advertising placement point, obtain the activity evaluation index of each advertising placement point after processing, and formulate an initial advertising placement strategy according to the activity evaluation index of each advertising placement point for advertising placement.

[0033] The advertising placement effect analysis module is used to process and obtain the advertising placement intensity evaluation value of each advertising placement point according to the initial advertising placement strategy, obtain the advertising placement data of each advertising placement point, monitor the user interaction data of each advertising placement point, and comprehensively analyze to obtain the advertising placement effect evaluation index of each advertising placement point.

[0034] The evaluation and feedback module is used to evaluate the advertising placement effect according to the advertising placement effect evaluation index of each advertising placement point, and adjust the advertising placement strategy in real time according to the evaluation result.

[0035] Compared with the prior art, the embodiments of the present invention have at least the following advantages or beneficial effects:

[0036] (1) By providing an advertising placement monitoring and management method and system based on data collection, the present invention comprehensively analyzes the advertising click-through rate, advertising interaction rate, advertising conversion rate, user bounce rate, page residence time, and advertising placement intensity, which can provide a more comprehensive and in-depth advertising effect evaluation for advertisers, help them make more informed decisions in the highly competitive market, and improve the overall effect and return on investment of advertising placement.

[0037] (2) By comprehensively analyzing the number of daily active users, average online duration of each user, page view volume of each user, and interaction rate of each user at each advertising placement point, the present invention can better understand user behavior, which not only helps to more comprehensively evaluate the activity of the platform, but also provides data support for designing effective advertising placement strategies, thereby improving the efficiency and effect of advertising placement and creating greater value for the platform and advertisers.

[0038] (3) By carefully analyzing the total duration of advertisement placement, the advertisement placement frequency, and the proportion of the advertisement page, the present invention can more effectively estimate the advertisement placement intensity, provide a basis for evaluating the advertisement placement effect and adjusting the advertisement placement strategy in real time, help advertisers achieve their advertisement goals, and improve the overall advertisement effect and market competitiveness. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] The present invention will be further described with reference to the accompanying drawings. However, the embodiments in the drawings do not constitute any limitation to the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained according to the following drawings.

[0040] Figure 1 It is a schematic flowchart of the method of the present invention.

[0041] Figure 2 It is a schematic diagram of the connection of system modules of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0042] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of the present invention.

[0043] Referring to Figure 1 As shown, the first aspect of the present invention provides an advertisement placement monitoring and management method based on data collection, including: counting advertisement placement platforms, marking each advertisement placement point, collecting basic data of each advertisement placement point, obtaining an activity evaluation index of each advertisement placement point through processing, and formulating an initial advertisement placement strategy according to the activity evaluation index of each advertisement placement point for advertisement placement.

[0044] Specifically, the process of obtaining the activity evaluation index of each advertisement placement point through processing is as follows: The basic data of each advertisement placement point includes: the number of daily active users of each advertisement placement point, the average online duration of each user, the page view volume of each user, and the interaction rate of each user within a preset monitoring period.

[0045] It should be added that the placement points include, but are not limited to, social media platforms, search engines, and video platforms, and the users refer to daily active users.

[0046] It should be noted that in this embodiment, the daily active user count refers to the number of independent users who log in to the platform at least once a day. The average user online duration refers to the average online time of each session of the user on the platform. The user page view count refers to the total number of pages viewed by the user on the platform. The user interaction rate refers to the frequency of interaction behaviors such as comments, likes, and shares by the user on the platform.

[0047] It should be added that social media platforms usually provide built-in analytics tools, such as Facebook Insights or Twitter Analytics, from which the daily active user count, session data, page view reports, and user interaction reports can be obtained. The login time and logout time of users are obtained through the session data report of the social media platform. Calculation formula: average user online duration = total online duration / total number of sessions; where the total online duration is equal to the sum of the logout times minus the login times of all sessions, and the total number of sessions is equal to the total number of logins during the monitoring period. The user page view count is equal to the total number of page views during the monitoring period. For example, if page A is viewed 500 times and page B is viewed 300 times during the monitoring period, the total page view count is 800 times. It is obtained through the interaction report of the social media analytics tool, including the number of comments, likes, and shares. User interaction rate = (number of interaction behaviors / page view count) * 100%; where the number of interaction behaviors is equal to the total number of user comment times, user like times, and user share times.

[0048] The critical daily active user count, critical average user online duration, critical user page view count, and critical user interaction rate are extracted from the monitoring management system database.

[0049] Based on the basic data of each advertising placement point, the activity evaluation index of each advertising placement point is processed. The activity evaluation index of each advertising placement point is used to quantitatively evaluate the user activity degree of each advertising placement point and provide a basis for formulating the initial advertising placement strategy.

[0050] In a specific embodiment, the numerical expression of the activity evaluation index of each advertising placement point is:

[0051]

[0052] In the formula, ω d represents the activity evaluation index of the d-th advertising placement point, e represents the natural constant, γ d represents the daily active user count of the d-th advertising placement point during the preset monitoring period, d represents the number of each advertising placement point, d = 1, 2, 3,..., g, and g represents the total number of advertising placement points. Denotes the average online duration of the r-th user at the d-th advertising placement point within a preset monitoring period. Here, r represents the serial number of each user, where r = 1, 2, 3,..., h, and h represents the total number of users. Denotes the page view volume of the r-th user at the d-th advertising placement point within a preset monitoring period. Denotes the interaction rate of the r-th user at the d-th advertising placement point within a preset monitoring period. Δγ represents the number of critical daily active users, and Δα 1 Denotes the average online duration of critical users, Δα 2 Denotes the page view volume of critical users, Δα 3 Denotes the interaction rate of critical users.

[0053] It should be noted that the larger the number of daily active users, the longer the average online duration of users, the larger the page view volume of users, and the higher the interaction rate of users, the larger the corresponding activity evaluation index of the advertising placement point, indicating a higher degree of user activity at the advertising placement point.

[0054] It should be noted that if the number of daily active users increases, it means that more users are active on the platform, which may lead to an increase in the average online duration of users. The larger the number of daily active users, the higher the page view volume usually is, because more users are browsing the pages. The longer the users are online, the more pages they usually view. The longer the users are online, the higher the probability of their participation in interactions. The more pages the users view, the higher the probability of their encountering interaction opportunities, thus possibly increasing the interaction rate. The number of daily active users is a basic indicator that affects all other indicators. The average online duration of users can reflect the stickiness of users to the platform and has a direct relationship with the page view volume and the interaction rate. The page view volume is a direct manifestation of user activity and is usually proportional to the number of daily active users and the average online duration of users. The user interaction rate is a key indicator to measure user engagement and content attractiveness, which is related to the average online duration of users and the page view volume, but not entirely determined by the number of daily active users.

[0055] It should be noted that in this embodiment, by comprehensively analyzing the number of daily active users, the average online duration of each user, the page view volume of each user, and the interaction rate of each user at each advertising placement point, it is possible to better understand user behavior, which not only helps to more comprehensively evaluate the activity of the platform, but also provides data support for designing effective advertising placement strategies, thereby improving the efficiency and effectiveness of advertising placement and creating greater value for the platform and advertisers.

[0056] It should be added that in this embodiment, by comprehensively analyzing the daily active user numbers of each advertising placement point, the average online duration of each user, the page view volume of each user, and the interaction rate of each user, the behavioral patterns of users on the platform can be comprehensively understood, including their access frequency, participation depth, and interaction willingness. Among them, the daily active user numbers help identify the loyal user groups on the platform, and the average online duration of users can further segment these users to find highly sticky users. The page view volume and the user interaction rate are key indicators for measuring the attractiveness of content. High page view volume and interaction rate usually mean that the content has high attractiveness to users. Analyzing these parameters can help identify the deficiencies in the user experience, so as to optimize and improve user satisfaction and retention rate. At the same time, by regularly monitoring these parameters, the fluctuations in the platform activity can be detected in a timely manner, helping decision-makers quickly respond to market changes or potential problems. By analyzing the daily active user numbers and the user interaction rate, the advertising audience can be more accurately positioned, improving the relevance of advertisements. The average online duration of users can help determine the peak hours of user activity, so as to optimize the advertising placement time and improve the visibility of advertisements. Combining the page view volume and the user interaction rate, more attractive advertising content can be designed to increase the user click-through rate and conversion rate. Analyzing these parameters can also help advertisers reasonably allocate budgets and invest more resources in platforms or content with higher activity and interaction rate. By understanding the online behavioral patterns of users, personalized advertising strategies can be designed for different user groups, improving the personalization degree and effectiveness of advertisements. These parameters can also be used as quantitative indicators for evaluating the advertising placement effect, helping advertisers understand the effectiveness of advertising campaigns and make necessary adjustments.

[0057] Furthermore, an initial advertising placement strategy is formulated according to the activity evaluation index of each advertising placement point for advertising placement. The specific process is as follows: The first reference index of the activity of the advertising placement point and the second reference index of the activity of the advertising placement point are extracted from the database of the monitoring and management system, and the activity evaluation index of each advertising placement point is compared with the first reference index of the activity of the advertising placement point and the second reference index of the activity of the advertising placement point.

[0058] If the activity evaluation index of a certain advertising placement point is greater than or equal to the first reference index of the activity of the advertising placement point, then this advertising placement point is marked as a high-activity advertising placement point.

[0059] If the activity evaluation index of a certain advertising placement point is greater than the second reference index of the activity of the advertising placement point and less than the first reference index of the activity of the advertising placement point, then this advertising placement point is marked as a medium-activity advertising placement point.

[0060] If the activity evaluation index of a certain advertising placement point is less than or equal to the second reference index of the activity of the advertising placement point, then this advertising placement point is marked as a low-activity advertising placement point.

[0061] Initial advertising placement strategies are formulated for advertising placement points with different levels of activity, and advertising will be placed accordingly.

[0062] According to the initial advertising placement strategy, the advertising placement intensity evaluation values of each advertising placement point are obtained, the advertising placement data of each advertising placement point are acquired, and the user interaction data of each advertising placement point are monitored. Through comprehensive analysis, the advertising placement effect evaluation index of each advertising placement point is obtained.

[0063] Specifically, the process of obtaining the advertising placement intensity evaluation values of each advertising placement point is as follows: The initial advertising placement strategy includes the total advertising placement duration of each advertising placement point, the advertising placement frequency within the placement period of each advertising placement point, and the advertising page proportion.

[0064] It should be noted that in this embodiment, the total advertising placement duration refers to the continuous placement time of the advertisement at the placement point, the advertising placement frequency refers to the total number of times the advertisement is displayed at the placement point, and the advertising page proportion refers to the ratio between the advertisement area and the area of the page where it is located.

[0065] The critical advertising placement duration, critical advertising placement frequency, reference standard advertising page proportion, and allowable deviation advertising page proportion are extracted from the monitoring and management system database.

[0066] According to the initial advertising placement strategy, the advertising placement intensity evaluation values of each advertising placement point are obtained. The advertising placement intensity evaluation values of each advertising placement point are used to quantitatively evaluate the advertising placement intensity of each advertising placement point, providing a basis for evaluating the advertising placement effect of each advertising placement point.

[0067] In a specific embodiment, the numerical expression of the advertising placement intensity evaluation value of each advertising placement point is:

[0068]

[0069] In the formula, represents the advertising placement intensity evaluation value of the d-th advertising placement point, represents the total advertising placement duration of the d-th advertising placement point, represents the advertising placement frequency of the d-th advertising placement point within the placement period, represents the advertising page proportion of the d-th advertising placement point within the placement period, represents the critical advertising placement duration, represents the critical advertising placement frequency, represents the reference standard advertising page proportion, Δβ 3 represents the allowable deviation advertising page proportion.

[0070] It should be noted that when the total advertising duration is longer, the advertising frequency is higher, and the absolute difference between the proportion of the advertising page and the proportion of the reference standard advertising page is smaller, the corresponding advertising intensity evaluation value is larger, indicating a greater advertising intensity.

[0071] It should be noted that the longer the total advertising duration, the higher the advertising frequency may be because the advertisement has more time to be displayed. A high proportion of the advertising page may mean that the advertisement is more prominent on the page, which may lead to a higher advertising frequency because users are more likely to notice and click on the advertisement. However, if the proportion of the advertising page is too high, it may cause a poor user experience, resulting in users avoiding the advertisement and thus reducing the effect of the advertising frequency. If the proportion of the advertising page is high and the total advertising duration is also long, then the overall display effect of the advertisement may be better because the advertisement occupies an important position on the page and is continuously displayed. Generally speaking, the relationships between these parameters interact with each other, and they jointly affect the visibility of the advertisement, user engagement, and the final advertising effect. Advertisers need to optimize these parameters according to the target audience, budget, and advertising goals to achieve the best advertising effect.

[0072] It should be noted that in this embodiment, by carefully analyzing the total advertising duration, advertising frequency, and proportion of the advertising page, the advertising intensity can be more effectively estimated, providing a basis for evaluating the advertising effect and adjusting the advertising strategy in real time, which helps advertisers achieve their advertising goals and improve the overall advertising effect and market competitiveness.

[0073] Furthermore, the advertising data of each advertising placement point includes: the advertising click-through rate, advertising interaction rate, and advertising conversion rate of each advertising placement point within a preset monitoring period.

[0074] The user interaction data of each advertising placement point includes: the user bounce rate and page stay time of each advertising placement point within a preset monitoring period.

[0075] It should be noted that in this implementation, the advertising click-through rate refers to the ratio of the number of times the advertisement is clicked to the number of times it is displayed. The advertising interaction rate refers to the ratio of the number of times users interact with the advertisement (such as liking, commenting, sharing, etc.) to the number of times it is displayed. The advertising conversion rate refers to the ratio of the number of users who complete the target action (such as purchasing, registering, downloading, etc.) to the number of users who click on the advertisement. The user bounce rate refers to the proportion of users who leave the web page immediately after clicking on the advertisement, and the page stay time refers to the average time that users stay on the page pointed to by the advertisement.

[0076] Further, an advertising placement effect evaluation index for each advertising placement point is obtained through comprehensive analysis. The specific analysis process is as follows: The critical advertising click-through rate, critical advertising interaction rate, critical advertising conversion rate, critical user bounce rate, and critical page dwell time are extracted from the monitoring and management system database.

[0077] Based on the advertising placement data of each advertising placement point, the user interaction data of each advertising placement point, and the advertising placement intensity evaluation value of each advertising placement point, an advertising placement effect evaluation index for each advertising placement point is obtained through comprehensive analysis. The advertising placement effect evaluation index of each advertising placement point is used to quantitatively evaluate the advertising placement effect of each advertising placement point, providing a basis for judging whether it is necessary to adjust the advertising placement strategy.

[0078] In a specific embodiment, the numerical expression of the advertising placement effect evaluation index of each advertising placement point is:

[0079]

[0080] In the formula, μ d represents the advertising placement effect evaluation index of the d-th advertising placement point, represents the advertising placement intensity evaluation value of the d-th advertising placement point, J d represents the advertising click-through rate of the d-th advertising placement point within the preset monitoring period, H d represents the advertising interaction rate of the d-th advertising placement point within the preset monitoring period, Z d represents the advertising conversion rate of the d-th advertising placement point within the preset monitoring period, C d represents the user bounce rate of the d-th advertising placement point within the preset monitoring period, T d represents the page dwell time of the d-th advertising placement point within the preset monitoring period, ΔJ represents the critical advertising click-through rate, ΔH represents the critical advertising interaction rate, ΔZ represents the critical advertising conversion rate, ΔC represents the critical user bounce rate, and ΔT represents the critical page dwell time.

[0081] It should be noted that when the advertising click-through rate is higher, the advertising interaction rate is higher, the advertising conversion rate is higher, the user bounce rate is lower, the page dwell time is longer, and the advertising placement intensity evaluation value is smaller, the corresponding advertising placement effect evaluation index is larger, indicating a better advertising placement effect.

[0082] It should be noted that a high ad click-through rate may mean a high ad interaction rate, because users may engage in further interactions after clicking on the ad. A high ad interaction rate may indicate that users are interested in the ad content, which may lead to a higher conversion rate. A high user bounce rate usually means a short page dwell time, because users leave the page without engaging deeply with it. If the user bounce rate is high, the ad conversion rate may be low, because users do not have enough time or interest to convert. A longer page dwell time may indicate that users are interested in the page content, which may lead to a higher conversion rate. By analyzing the relationships between these parameters, advertisers can better understand the performance of their ads and the behavior patterns of users, and thus optimize ad content and placement strategies to improve the efficiency and effectiveness of ads.

[0083] It should be noted that in this embodiment, by comprehensively analyzing the ad click-through rate, ad interaction rate, ad conversion rate, user bounce rate, page dwell time, and ad placement intensity, a more comprehensive understanding of the performance of the advertising campaign can be obtained, not limited to a single indicator, thus obtaining a more accurate performance evaluation. Understanding the relationships between different parameters helps to adjust ad placement strategies, such as increasing the click-through rate and reducing the bounce rate, thereby enhancing the overall ad effect. Based on the parameter analysis results, ad budgets and resources can be allocated more effectively, avoiding wasting money on inefficient placement points. Analyzing the conversion rate and interaction rate can help advertisers better understand the target audience, and thus conduct more precise ad positioning. By increasing the ad interaction rate and reducing the user bounce rate, user engagement can be enhanced, and the user's impression of the brand can be increased. Analyzing the conversion rate can help identify which ad placement points and strategies are most effective in promoting user conversion, thereby increasing the overall conversion rate. Comprehensive analysis can also help monitor the market's response to the advertising campaign and adjust strategies in a timely manner to cope with market changes. Through comprehensive analysis of the ad placement effect, it is also beneficial to accurately calculate the return on investment of the advertising campaign. Long-term tracking and analysis of these parameters can provide data support for future ad placement strategies and help formulate more effective long-term plans.

[0084] It should be noted that in this embodiment, by comprehensively analyzing the ad click-through rate, ad interaction rate, ad conversion rate, user bounce rate, page dwell time, and ad placement intensity, a more comprehensive and in-depth evaluation of the ad effect can be provided for advertisers, helping them make more informed decisions in a highly competitive market and improve the overall ad placement effect and return on investment.

[0085] Evaluate the ad placement according to the ad placement effect evaluation index of each ad placement point, and adjust the ad placement strategy in real time according to the evaluation results.

[0086] Specifically, the advertising placement is evaluated according to the advertising placement effect evaluation index of each advertising placement point. The specific evaluation process is as follows: The average value of the advertising placement effect evaluation indexes of each advertising placement point is calculated to obtain the average value of the advertising placement effect evaluation.

[0087] The advertising placement effect evaluation threshold is extracted from the monitoring and management system database. The average value of the advertising placement effect evaluation is compared with the advertising placement effect evaluation threshold. If the average value of the advertising placement effect evaluation is greater than or equal to the advertising placement effect evaluation threshold, the advertising placement effect is evaluated as qualified, and the advertising placement strategy of each advertising placement point is adjusted. If the average value of the advertising placement effect evaluation is less than the advertising placement effect evaluation threshold, the advertising placement effect is evaluated as unqualified, and the preset staff is notified to analyze the unqualified problems.

[0088] It should be added that the process of analyzing the unqualified problems is as follows: R1. Collect the detailed data of the advertising placement points, including but not limited to advertising content, placement time, covered population, click-through rate, conversion rate, etc.

[0089] R2. Analyze each index to identify which placement points have poor effects. Determine whether it is a global problem or a local problem.

[0090] R3. Conduct cause analysis, including but not limited to market analysis: study the market environment, including changes in the needs of the target audience, dynamics of competitors, etc.

[0091] Content analysis: Evaluate whether the advertising content is attractive, creative, and matches the needs of the target audience.

[0092] Channel analysis: Check whether the advertising placement channels are appropriate and cover the target audience.

[0093] Timing analysis: Analyze whether the advertising placement time is appropriate and matches the media consumption habits of the target audience.

[0094] Budget analysis: Evaluate whether the advertising placement budget is reasonable and effectively utilized.

[0095] Furthermore, the advertising placement strategy is adjusted in real time according to the evaluation results. The specific process is as follows: The advertising placement effect evaluation index range of the advertising placement point is extracted from the monitoring and management system database. The advertising placement effect evaluation index of each advertising placement point is compared with the advertising placement effect evaluation index range of the advertising placement point. If the advertising placement effect evaluation index of a certain advertising placement point is higher than the maximum value of the range, the advertising placement intensity of this advertising placement point is increased. If the advertising placement effect evaluation index of a certain advertising placement point is within the range, there is no need to adjust the advertising placement strategy of this advertising placement point. If the advertising placement effect evaluation index of a certain advertising placement point is lower than the minimum value of the range, the advertising placement intensity of this advertising placement point is decreased.

[0096] Referring to Figure 2 As shown, the second aspect of the present invention provides an advertising placement monitoring and management system based on data collection, including: a planned advertising placement module, an advertising placement effect analysis module, and an evaluation and feedback module.

[0097] The planned advertising placement module is used to count advertising placement platforms, mark each advertising placement point, collect basic data of each advertising placement point, obtain the activity evaluation index of each advertising placement point through processing, and formulate an initial advertising placement strategy according to the activity evaluation index of each advertising placement point for advertising placement.

[0098] The advertising placement effect analysis module is used to obtain the advertising placement intensity evaluation value of each advertising placement point according to the initial advertising placement strategy, obtain the advertising placement data of each advertising placement point, monitor the user interaction data of each advertising placement point, and comprehensively analyze to obtain the advertising placement effect evaluation index of each advertising placement point.

[0099] The evaluation and feedback module is used to evaluate the effect of advertising placement according to the advertising placement effect evaluation index of each advertising placement point, and adjust the advertising placement strategy in real time according to the evaluation result.

[0100] In a specific embodiment, the monitoring and management system database is used to store relevant parameters in the process of evaluating the advertising placement effect, including the first reference index and the second reference index of the activity of the advertising placement point, the advertising placement effect evaluation threshold, the advertising placement effect evaluation index range of the advertising placement point, and the data obtained by extracting from the monitoring and management system database in the above embodiment. The relevant data can be automatically obtained through the API interface provided by the advertising platform, such as Google AdWords, Facebook Ads, etc., and the advertising performance data can also be automatically imported by using integrated data analysis tools such as Google Analytics, Adobe Analytics, etc. The data related to advertising requests and displays can also be extracted from the server logs, which usually record every interaction of users. Industry data, user behavior data, etc. can also be obtained from third-party data providers to supplement the own data.

[0101] The above content is only an example and illustration of the structure of the present invention. Those skilled in the art of the present technology can make various modifications or supplements to the described specific embodiments or use similar methods to replace them, as long as they do not deviate from the structure of the invention or exceed the scope defined by the claims of the present invention, they should all fall within the protection scope of the present invention.

Claims

1. A method for monitoring and managing advertising based on data collection, characterized in that: include: Count the advertising delivery platforms, mark them as various advertising delivery points, collect basic data of each advertising delivery point, obtain the activity evaluation index of each advertising delivery point after processing, and formulate the initial advertising delivery strategy for advertising delivery according to the activity evaluation index of each advertising delivery point; According to the initial advertising delivery strategy, the advertising delivery strength evaluation value of each advertising delivery point is processed, the advertising delivery data of each advertising delivery point is obtained, and the user interaction data of each advertising delivery point is monitored, and the advertising delivery effect evaluation index of each advertising delivery point is obtained through comprehensive analysis; The advertising effect is evaluated according to the advertising effect evaluation index of each advertising delivery point, and the advertising delivery strategy is adjusted in real time according to the evaluation results.

2. The method for monitoring and managing advertisement placement based on data collection according to claim 1, characterized in that: The activity evaluation index of each advertising delivery point is obtained through processing, and the specific process is as follows: The basic data of each advertising delivery point includes: the number of daily active users of each advertising delivery point within a preset monitoring period, the average online time of each user, the page views of each user and the interaction rate of each user; Extract the critical number of daily active users, the average online time of critical users, the page views of critical users and the interaction rate of critical users from the monitoring management system database; According to the basic data of each advertising delivery point, the activity evaluation index of each advertising delivery point is processed, and the activity evaluation index of each advertising delivery point is used to quantitatively evaluate the user activity level of each advertising delivery point, providing a basis for formulating an initial advertising delivery strategy.

3. The method for monitoring and managing advertisement placement based on data collection according to claim 2 is characterized by: The initial advertising delivery strategy is formulated according to the activity evaluation index of each advertising delivery point to deliver the advertisement. The specific process is as follows: Extracting a first reference indicator of activity of an advertisement placement point and a second reference indicator of activity of an advertisement placement point from a monitoring management system database, and comparing the activity evaluation index of each advertisement placement point with the first reference indicator of activity of an advertisement placement point and the second reference indicator of activity of an advertisement placement point; If the activity evaluation index of a certain advertising placement point is greater than or equal to the first reference index of the activity of the advertising placement point, the advertising placement point is marked as a high-activity advertising placement point; If the activity evaluation index of a certain advertising placement point is greater than the second reference index of the activity of the advertising placement point and less than the first reference index of the activity of the advertising placement point, the advertising placement point is marked as a medium-activity advertising placement point; If the activity evaluation index of a certain advertising placement point is less than or equal to the second reference index of the activity of the advertising placement point, the advertising placement point is marked as a low-activity advertising placement point; Initial advertising delivery strategies will be formulated for advertising delivery points with different levels of activity and advertising will be delivered.

4. The method for monitoring and managing advertisement placement based on data collection according to claim 1, characterized in that: The processing obtains the evaluation value of the advertising delivery strength of each advertising delivery point, and the specific process is as follows: The initial advertising delivery strategy includes: the total duration of advertising delivery at each advertising delivery point, the advertising delivery frequency and advertising page proportion of each advertising delivery point during the delivery period; Extract the critical advertising duration, critical advertising frequency, reference standard advertising page ratio and allowable deviation advertising page ratio from the monitoring management system database; According to the initial advertising delivery strategy, the advertising delivery strength evaluation value of each advertising delivery point is processed and obtained. The advertising delivery strength evaluation value of each advertising delivery point is used to quantitatively evaluate the advertising delivery strength of each advertising delivery point and provide a basis for evaluating the advertising delivery effect of each advertising delivery point.

5. The method for monitoring and managing advertisement placement based on data collection according to claim 1, characterized in that: The advertisement delivery data of each advertisement delivery point includes: the advertisement click rate, advertisement interaction rate and advertisement conversion rate of each advertisement delivery point within a preset monitoring period; The user interaction data of each advertisement delivery point includes: the user bounce rate and page dwell time of each advertisement delivery point within a preset monitoring period.

6. The method for monitoring and managing advertisement placement based on data collection according to claim 5, characterized in that: The comprehensive analysis obtains the advertising effect evaluation index of each advertising delivery point. The specific analysis process is as follows: Extract the critical advertisement click rate, critical advertisement interaction rate, critical advertisement conversion rate, critical user bounce rate and critical page dwell time from the monitoring management system database; Based on the advertising data of each advertising point, the user interaction data of each advertising point and the advertising intensity evaluation value of each advertising point, a comprehensive analysis is conducted to obtain the advertising effect evaluation index of each advertising point. The advertising effect evaluation index of each advertising point is used to quantitatively evaluate the advertising effect of each advertising point, and provide a basis for determining whether the advertising placement strategy needs to be adjusted.

7. The method for monitoring and managing advertisement placement based on data collection according to claim 6, characterized in that: The advertisement delivery effect is evaluated according to the advertisement delivery effect evaluation index of each advertisement delivery point. The specific evaluation process is as follows: The advertising effect evaluation index of each advertising delivery point is averaged to obtain the mean advertising effect evaluation value; The advertising effect evaluation threshold is extracted from the monitoring management system database, and the advertising effect evaluation mean is compared with the advertising effect evaluation threshold. If the advertising effect evaluation mean is greater than or equal to the advertising effect evaluation threshold, the advertising effect is evaluated as qualified, and the advertising delivery strategy of each advertising delivery point is adjusted. If the advertising effect evaluation mean is less than the advertising effect evaluation threshold, the advertising effect is evaluated as unqualified, and an unqualified problem analysis is performed.

8. The method for monitoring and managing advertisement placement based on data collection according to claim 7, characterized in that: The specific process of adjusting the advertising delivery strategy in real time according to the evaluation results is as follows: The advertising effect evaluation index interval of the advertising placement point is extracted from the monitoring management system database, and the advertising effect evaluation index of each advertising placement point is compared with the advertising effect evaluation index interval of the advertising placement point. If the advertising effect evaluation index of a certain advertising placement point is higher than the maximum value of the interval, the advertising placement intensity of the advertising placement point is increased. If the advertising effect evaluation index of a certain advertising placement point is within the interval, there is no need to adjust the advertising placement strategy of the advertising placement point. If the advertising effect evaluation index of a certain advertising placement point is lower than the minimum value of the interval, the advertising placement intensity of the advertising placement point is reduced.

9. The method for monitoring and managing advertisement placement based on data collection according to claim 6, characterized in that: The advertising effect evaluation index of each advertising delivery point is specifically expressed as: In the formula, μ d represents the advertising effect evaluation index of the d-th advertising point, represents the evaluation value of the advertising intensity of the d-th advertising point, J d H represents the click rate of the dth advertising point in the preset monitoring period, d represents the advertising interaction rate of the dth advertising point in the preset monitoring period, Z d represents the advertising conversion rate of the dth advertising point in the preset monitoring period, C d represents the user bounce rate of the dth advertising point in the preset monitoring period, T d It represents the page dwelling time of the d-th advertising delivery point within the preset monitoring period, ΔJ represents the critical advertising click-through rate, ΔH represents the critical advertising interaction rate, ΔZ represents the critical advertising conversion rate, ΔC represents the critical user bounce rate, and ΔT represents the critical page dwelling time.

10. A system using the method for monitoring and managing advertisement placement based on data collection as claimed in any one of claims 1 to 9, characterized in that: include: Advertisement planning module, advertisement effect analysis module, and evaluation and feedback module; The planned advertising delivery module is used to count the advertising delivery platforms, mark them as various advertising delivery points, collect the basic data of each advertising delivery point, obtain the activity evaluation index of each advertising delivery point after processing, and formulate the initial advertising delivery strategy for advertising delivery according to the activity evaluation index of each advertising delivery point; The advertising effect analysis module is used to process and obtain the advertising intensity evaluation value of each advertising point according to the initial advertising delivery strategy, obtain the advertising delivery data of each advertising point, monitor the user interaction data of each advertising point, and comprehensively analyze and obtain the advertising delivery effect evaluation index of each advertising point; The evaluation and feedback module is used to evaluate the effectiveness of advertising according to the advertising effectiveness evaluation index of each advertising delivery point, and adjust the advertising delivery strategy in real time according to the evaluation results.

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