Propaganda information-based benefit evaluation method
By collecting and evaluating browsing parameters at the publicity information delivery site, building a dynamic proportion of browsing parameter components for cloud databases that identify and record publicity information, the problem of insufficient evaluation of publicity information push in the existing technology is solved, and an effective evaluation of publicity information is achieved and management improve publicity benefits and reduce costs.
Patent Information
- Application Number
- CN202411073118.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-08-06
- Publication Date
- 2024-12-13
AI Technical Summary
The existing technology lacks effective means of evaluating the benefits of publicity information, which makes the actual publicity benefits of publicity information not understandable to users from the source of publicity information.
By collecting browsing parameters in real time at the publicity information delivery site, building a cloud database, identifying and recording the dynamic proportion of browsing parameter components, monitoring and evaluating the publicity benefits of publicity information, generating the publicity benefits of publicity information changes and security situation assessment messages of publicity information, User feedback.
A comprehensive assessment of publicity information has been achieved, and users who assist in adaptive management of publicity information delivery ends have been assisted to improve the publicity efficiency of publicity information, reduce publicity costs, and ensure the actual publicity benefits.
Smart Images
Figure CN119130548A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of data analysis, and in particular to a benefit evaluation method based on publicity information. Background Art
[0002] Online advertising is an important area of commercial promotion today.
[0003] In this digital age, online advertising has become a powerful means of promoting enterprises and brands with its wide coverage, precise positioning capabilities and diverse forms of expression. It can quickly reach the target audience through search engine advertising, social media promotion, video advertising and other forms. For example, search engine advertising can accurately push relevant products or services based on the user's search keywords; social media platforms use user portraits and big data analysis to achieve targeted delivery. At the same time, online advertising is also highly interactive. Users can comment and share at any time to expand the scope of dissemination. At present, online advertising is also facing challenges such as fierce competition and information overload. However, with its continuous innovation of technology and strategies, it still plays a key role in market promotion.
[0004] However, when this type of promotional information is pushed to online users on a daily basis, it is usually pushed through a designated program, and there is no specific means of evaluating its actual push effectiveness, which results in the actual promotional effectiveness of this type of promotional information being unable to be understood by the users who are the source of the promotional information; To this end, we proposed a benefit evaluation method based on publicity information. Summary of the invention
[0005] In view of the above-mentioned shortcomings of the prior art, the present invention provides a benefit evaluation method based on publicity information, which solves the technical problems raised in the above-mentioned background technology.
[0006] To achieve the above objectives, the present invention is implemented through the following technical solutions: A benefit evaluation method based on publicity information includes the following steps: Collect the publicity information browsing parameters in real time at the publicity information delivery site, build a cloud database, and use the cloud database to store the collected publicity information browsing parameters; traverse the publicity information browsing parameters stored in the cloud database, identify the dynamic proportion of the publicity information browsing parameter components, and record the identified dynamic proportion of the publicity information browsing parameter components; monitor the number of record groups of the dynamic proportion of the publicity information browsing parameter components, and when the number of recorded groups is not less than two groups, further perform publicity information publicity benefit evaluation; select the publicity information publicity benefit evaluation results, and further evaluate the publicity information publicity benefit security situation based on the publicity information publicity benefit evaluation results; obtain the publicity information publicity benefit evaluation results in real time, and generate a publicity information publicity benefit change situation diagram based on the evaluation results; generate a publicity information publicity benefit security situation evaluation message, and feedback to the user end.
[0007] Furthermore, the promotional information delivery site includes browser homepages, videos, live broadcasts, and shopping platforms accessible by computers and mobile devices. When the promotional information is collected, the collection of promotional information browsing parameters is performed at the end of each cycle with a 24-hour period. When the cloud database stores the collected promotional information, the promotional information to be stored is distinguished based on the promotional information collection period, and the promotional information to be stored is stored in a differentiated manner; Among them, the promotional information browsing parameters collected at the promotional information delivery site include: the number of promotional information clicks, the number of promotional information forwardings, the promotional information display time, and the number of promotional information collections.
[0008] Furthermore, when the cloud database stores the promotional information browsing parameters, it synchronously marks them with the date of the source period of the promotional information browsing parameters, names the differentiated storage intervals for storing the promotional information browsing parameters based on the marking information, and when the cloud database stores the promotional information browsing parameters, it captures the promotional information display timestamps in the promotional information browsing parameters stored in each differentiated storage interval in real time. When the time span between the earliest timestamp and the latest timestamp captured exceeds one year, the cloud database synchronously deletes the promotional information browsing parameters stored earlier internally, so that the time span between the earliest timestamp and the latest time difference corresponding to the promotional information browsing parameters stored in the cloud database always does not exceed one year; Among them, when the cloud database stores the internally stored promotional information browsing parameters, it uses the storage interval as the minimum deletion unit.
[0009] Furthermore, the operation of traversing the promotional information browsing parameters stored in the cloud database is performed when there are at least two sets of differentiated storage intervals stored in the cloud database, and when identifying the dynamic proportion of the promotional information browsing parameter components, the promotional information browsing parameters differentiatedly stored in the differentiated storage intervals in the cloud database with the most recent timestamp are always used as the identification target; The format of the dynamic ratio of the promotional information browsing parameter components is: Current average display duration of promotional information / number of times the promotional information is forwarded / number of times the promotional information is collected / number of times the promotional information is clicked.
[0010] Furthermore, after the dynamic proportion of the promotional information browsing parameter components is identified, a recording operation phase is executed, and the dynamic proportion of the promotional information browsing parameter cost is simultaneously stored in a corresponding differentiated storage interval in the cloud database.
[0011] Furthermore, the publicity information publicity benefit evaluation operation is synchronously performed once each time the dynamic proportion of publicity information browsing parameter cost is updated in the cloud database; When the publicity information publicity effectiveness evaluation operation is executed, each publicity information delivery site is simultaneously used as an independent evaluation target, and based on the corresponding publicity information browsing parameters of each publicity information delivery site, a publicity information publicity effectiveness evaluation operation of the corresponding publicity information delivery site is executed.
[0012] Furthermore, the publicity information publicity benefit evaluation operation logic is expressed as: ; Where: To promote the benefit value of information; , , , The dynamic proportion of the latest recorded promotional information browsing parameter components, including the current average display time of the promotional information, the number of times the promotional information is forwarded, the number of times the promotional information is collected, and the number of times the promotional information is clicked; , , , The current average display time of the promotional information, the number of times the promotional information is forwarded, the number of times the promotional information is collected, and the number of times the promotional information is clicked in the previous set of dynamic proportions of the promotional information browsing parameter components compared to the latest recorded dynamic proportions of the promotional information browsing parameter components; Among them, the publicity information publicity benefit value The larger it is, the better the publicity effect of the publicity information is; conversely, the smaller it is, the worse the publicity effect of the publicity information is.
[0013] Furthermore, the publicity information publicity benefit safety situation evaluation logic is expressed as: Continuously obtain the publicity information publicity benefit evaluation results. When obtaining at least three sets of publicity information publicity benefit evaluation results in a row, compare the size relationship of the latest three sets of publicity information publicity benefit evaluation results. The latest three sets of publicity information publicity benefit evaluation results are recorded as k1, k2, and k3, then: NO1, k1<k2<k3, indicating that the evaluation result of the safety situation of publicity information publicity benefits is excellent; NO2, k1>k2>k3, indicating that the evaluation result of the safety situation of publicity information publicity benefits is poor; When the status is other than the above-mentioned NO1 and NO2, the evaluation result of the safety situation of publicity information publicity effectiveness is balanced.
[0014] Furthermore, the content of the publicity information publicity benefit safety situation assessment message includes: a publicity information publicity benefit change situation diagram and the latest publicity information publicity benefit assessment results; Among them, the publicity information publicity effectiveness change trend chart is a line chart. The horizontal axis of the trend chart represents time, and the vertical axis represents the publicity information publicity effectiveness evaluation results.
[0015] Compared with the known public technology, the technical solution provided by the present invention has the following beneficial effects: The present invention provides a benefit evaluation method based on publicity information. During the execution of its steps, the method collects browsing parameters of publicity information at various publicity information delivery sites, comprehensively evaluates the publicity benefits of the publicity information, effectively assists users at the publicity information delivery end, and adaptively manages the publicity information, ultimately achieving the purpose of improving the publicity benefits of the publicity information and reducing the publicity costs of the publicity information, thereby ensuring the publicity benefits actually generated by the publicity information. BRIEF DESCRIPTION OF THE DRAWINGS
[0016] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the prior art descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention, and for ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.
[0017] Figure 1 The figure is a flowchart of a benefit evaluation method based on publicity information. DETAILED DESCRIPTION
[0018] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are 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.
[0019] The present invention will be further described below in conjunction with the embodiments.
[0020] Embodiment 1: A benefit evaluation method based on publicity information in this embodiment, such as Figure 1 As shown, the following steps are included: Step 1: Collect the browsing parameters of the promotional information in real time at the promotional information delivery site, build a cloud database, and use the cloud database to store the collected browsing parameters of the promotional information; Step 2: traverse the promotional information browsing parameters stored in the cloud database, identify the dynamic proportion of the promotional information browsing parameter components, and record the identified dynamic proportion of the promotional information browsing parameter components; Step 3: Monitor the dynamic proportion of the publicity information browsing parameter components and record the number of groups. When the number of recorded groups is not less than two, further perform publicity information publicity benefit evaluation; The operation logic of publicity information publicity benefit evaluation is expressed as: ; Where: To promote the benefit value of information; , , , The dynamic proportion of the latest recorded promotional information browsing parameter components, including the current average display time of the promotional information, the number of times the promotional information is forwarded, the number of times the promotional information is collected, and the number of times the promotional information is clicked; , , , The current average display time of the promotional information, the number of times the promotional information is forwarded, the number of times the promotional information is collected, and the number of times the promotional information is clicked in the previous set of dynamic proportions of the promotional information browsing parameter components compared to the latest recorded dynamic proportions of the promotional information browsing parameter components; Among them, the publicity information publicity benefit value The larger it is, the better the publicity effect of the publicity information is; conversely, the smaller it is, the worse the publicity effect of the publicity information is. Step 4: Obtain the publicity information publicity benefit evaluation results, and further evaluate the publicity information publicity benefit security situation based on the publicity information publicity benefit evaluation results; The logic of publicity information publicity benefit security situation assessment is expressed as: Continuously obtain the publicity information publicity benefit evaluation results. When obtaining at least three sets of publicity information publicity benefit evaluation results in a row, compare the size relationship of the latest three sets of publicity information publicity benefit evaluation results. The latest three sets of publicity information publicity benefit evaluation results are recorded as k1, k2, and k3, then: NO1, k1<k2<k3, indicating that the evaluation result of the safety situation of publicity information publicity benefits is excellent; NO2, k1>k2>k3, indicating that the evaluation result of the safety situation of publicity information publicity benefits is poor; In the case of states other than NO1 and NO2 mentioned above, the evaluation result of the safety situation of publicity information publicity benefits is balanced; Step 5: Obtain the publicity information publicity benefit evaluation results in real time, and generate a publicity information publicity benefit change trend map based on the evaluation results; Step 6: Generate a publicity information publicity benefit security situation assessment message and provide feedback to the user.
[0021] In this embodiment, by executing the steps of the method in the above embodiment, a publicity benefit evaluation effect is brought to the publicity information, and a publicity information auxiliary management effect is brought to the users of the publicity information delivery end.
[0022] Embodiment 2: In terms of specific implementation, based on Example 1, this example refers to Figure 1 The benefit evaluation method based on publicity information in Example 1 is further described in detail: Promotional information delivery sites include browser homepages, videos, live broadcasts, and shopping platforms accessible by computers and mobile devices. When collecting promotional information, the collection of promotional information browsing parameters is performed at the end of each cycle, with a 24-hour cycle. When the cloud database stores the collected promotional information, it distinguishes the promotional information to be stored based on the promotional information collection cycle, and stores the promotional information to be stored in a differentiated manner; Among them, the publicity information browsing parameters collected at the publicity information delivery site include: the number of publicity information clicks, the number of publicity information forwardings, the publicity information display duration, and the number of publicity information collections; When the cloud database stores the promotional information browsing parameters, it synchronously marks them with the date of the source period of the promotional information browsing parameters, names the partitioned storage intervals used for storing the promotional information browsing parameters based on the marking information, and captures the promotional information display timestamps in the promotional information browsing parameters stored in each partitioned storage interval in real time when the cloud database stores the promotional information browsing parameters. When the time span between the earliest timestamp and the latest timestamp captured exceeds one year, the cloud database synchronously deletes the promotional information browsing parameters stored earlier internally, so that the time span between the earliest timestamp and the latest timestamp corresponding to the promotional information browsing parameters stored in the cloud database never exceeds one year; Among them, when the cloud database stores the internally stored promotional information browsing parameters, it uses the storage interval as the minimum deletion unit.
[0023] like Figure 1As shown, the operation of traversing the promotional information browsing parameters stored in the cloud database is performed when there are at least two sets of differentiated storage intervals stored in the cloud database, and when identifying the dynamic proportion of the promotional information browsing parameter components, the promotional information browsing parameters differentiatedly stored in the differentiated storage intervals in the cloud database with the most recent timestamp are always used as the identification target; The format of the dynamic ratio of the promotion information browsing parameter component is: Current average display duration of promotional information / number of times the promotional information is forwarded / number of times the promotional information is collected / number of times the promotional information is clicked.
[0024] In this embodiment, through the above settings, further step execution logic support is provided for the execution of the method in Example 1.
[0025] Embodiment 3: In terms of specific implementation, based on Example 1, this example refers to Figure 1 The benefit evaluation method based on publicity information in Example 1 is further described in detail: After the dynamic proportion of the publicity information browsing parameter component is identified, the recording operation phase is executed, and the dynamic proportion of the publicity information browsing parameter cost is simultaneously placed in the corresponding storage interval of the cloud database for storage; The publicity information publicity benefit evaluation operation is executed synchronously every time the dynamic proportion of publicity information browsing parameter cost is updated in the cloud database; When the publicity information publicity effectiveness evaluation operation is executed, each publicity information delivery site is simultaneously used as an independent evaluation target, and based on the corresponding publicity information browsing parameters of each publicity information delivery site, a publicity information publicity effectiveness evaluation operation of the corresponding publicity information delivery site is executed.
[0026] like Figure 1 As shown, the content of the publicity information publicity benefit security situation assessment message includes: publicity information publicity benefit change situation diagram and the latest publicity information publicity benefit assessment results; Among them, the publicity information publicity effectiveness change trend chart is a line chart. The horizontal axis of the trend chart represents time, and the vertical axis represents the publicity information publicity effectiveness evaluation results.
[0027] In summary, during the execution of its steps, the method in the above embodiment collects browsing parameters of the promotional information at each promotional information delivery site, conducts a comprehensive evaluation of the promotional effectiveness of the promotional information, effectively assists the users of the promotional information delivery site, and adaptively manages the promotional information, ultimately achieving the purpose of improving the promotional effectiveness of the promotional information and reducing the promotional cost of the promotional information, thereby ensuring the actual promotional benefits generated by the promotional information.
[0028] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements will not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.
Claims
1. A benefit evaluation method based on publicity information, characterized in that: The following steps are involved: Step 1: Collect the browsing parameters of the promotional information in real time at the promotional information delivery site, build a cloud database, and use the cloud database to store the collected browsing parameters of the promotional information; Step 2: traverse the promotional information browsing parameters stored in the cloud database, identify the dynamic proportion of the promotional information browsing parameter components, and record the identified dynamic proportion of the promotional information browsing parameter components; Step 3: Monitor the dynamic proportion of the publicity information browsing parameter components and record the number of groups. When the number of recorded groups is not less than two, further perform publicity information publicity benefit evaluation; Step 4: Obtain the publicity information publicity benefit evaluation results, and further evaluate the publicity information publicity benefit security situation based on the publicity information publicity benefit evaluation results; Step 5: Obtain the publicity information publicity benefit evaluation results in real time, and generate a publicity information publicity benefit change trend map based on the evaluation results; Step 6: Generate a publicity information publicity benefit security situation assessment message and provide feedback to the user.
2. A benefit evaluation method based on publicity information according to claim 1, characterized in that: The promotional information delivery site includes browser homepages, videos, live broadcasts, and shopping platforms accessible by computers and mobile devices. When the promotional information is collected, the collection of promotional information browsing parameters is performed at the end of each cycle with a 24-hour period. When the cloud database stores the collected promotional information, the promotional information to be stored is distinguished based on the promotional information collection period, and the promotional information to be stored is distinguished and stored; Among them, the promotional information browsing parameters collected at the promotional information delivery site include: the number of promotional information clicks, the number of promotional information forwardings, the promotional information display time, and the number of promotional information collections.
3. A benefit evaluation method based on publicity information according to claim 2, characterized in that: When the cloud database stores the promotional information browsing parameters, it synchronously marks them with the date of the source period of the promotional information browsing parameters, and names the differentiated storage intervals for storing the promotional information browsing parameters based on the marking information. When the cloud database stores the promotional information browsing parameters, it captures the promotional information display timestamps in the promotional information browsing parameters stored in each differentiated storage interval in real time. When the time span between the earliest timestamp and the latest timestamp captured exceeds one year, the cloud database synchronously deletes the promotional information browsing parameters stored earlier internally, so that the time span between the earliest timestamp and the latest time difference corresponding to the promotional information browsing parameters stored in the cloud database is always no more than one year; Among them, when the cloud database stores the internally stored promotional information browsing parameters, it uses the storage interval as the minimum deletion unit.
4. The benefit evaluation method based on publicity information according to claim 1 is characterized in that: The operation of traversing the publicity information browsing parameters stored in the cloud database is performed when there are at least two sets of differentiated storage intervals stored in the cloud database, and when identifying the dynamic proportion of publicity information browsing parameter components, the publicity information browsing parameters differentiatedly stored in the differentiated storage intervals in the cloud database with the most recent timestamp are always used as the identification target; The format of the dynamic ratio of the promotional information browsing parameter components is: Current average display duration of promotional information / number of times the promotional information is forwarded / number of times the promotional information is collected / number of times the promotional information is clicked.
5. The benefit evaluation method based on publicity information according to claim 1 is characterized in that: After the dynamic proportion of the promotional information browsing parameter components is identified, a recording operation phase is executed, and the dynamic proportion of the promotional information browsing parameter cost is simultaneously stored in a corresponding differentiated storage interval in the cloud database.
6. A benefit evaluation method based on publicity information according to claim 1 or 5, characterized in that: The publicity information publicity benefit evaluation operation is synchronously performed once each time the dynamic proportion of publicity information browsing parameter cost is updated in the cloud database; When the publicity information publicity effectiveness evaluation operation is executed, each publicity information delivery site is simultaneously used as an independent evaluation target, and based on the corresponding publicity information browsing parameters of each publicity information delivery site, a publicity information publicity effectiveness evaluation operation of the corresponding publicity information delivery site is executed.
7. The benefit evaluation method based on publicity information according to claim 1 is characterized in that: The publicity information publicity benefit evaluation operation logic is expressed as follows: ； Where: To promote the benefit value of information; , , , The dynamic proportion of the latest recorded promotional information browsing parameter components, including the current average display time of the promotional information, the number of times the promotional information is forwarded, the number of times the promotional information is collected, and the number of times the promotional information is clicked; , , , The current average display time of the promotional information, the number of times the promotional information is forwarded, the number of times the promotional information is collected, and the number of times the promotional information is clicked in the previous set of dynamic proportions of the promotional information browsing parameter components compared to the latest recorded dynamic proportions of the promotional information browsing parameter components; Among them, the publicity information publicity benefit value The larger it is, the better the publicity effect of the publicity information is; conversely, the smaller it is, the worse the publicity effect of the publicity information is.
8. The benefit evaluation method based on publicity information according to claim 1 is characterized in that: The publicity information publicity benefit security situation evaluation logic is expressed as: Continuously obtain the publicity information publicity benefit evaluation results. When obtaining at least three sets of publicity information publicity benefit evaluation results in a row, compare the size relationship of the latest three sets of publicity information publicity benefit evaluation results. The latest three sets of publicity information publicity benefit evaluation results are recorded as k1, k2, and k3, then: NO1, k1<k2<k3, indicating that the evaluation result of the safety situation of publicity information publicity benefits is excellent; NO2, k1>k2>k3, indicating that the evaluation result of the safety situation of publicity information publicity benefits is poor; When the status is other than the above-mentioned NO1 and NO2, the evaluation result of the safety situation of publicity information publicity effectiveness is balanced.
9. A benefit evaluation method based on publicity information according to claim 1 or 8, characterized in that: The content of the publicity information publicity benefit security situation assessment message includes: a publicity information publicity benefit change situation diagram and the latest publicity information publicity benefit assessment results; Among them, the publicity information publicity effectiveness change trend chart is a line chart. The horizontal axis of the trend chart represents time, and the vertical axis represents the publicity information publicity effectiveness evaluation results.