CN112967097A - Self-service video marketing management system - Google Patents
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Abstract
Translated fromChinese
Description
Technical Field
The invention relates to the field of video marketing, in particular to a self-service video marketing management system.
Background
The video marketing is a marketing mode of transmitting the marketing video content of enterprises or products to users through an online video playing platform, and has the characteristics of good interactivity, accuracy, rapidness, low cost and the like, so that the marketing mode increasingly becomes an important marketing mode of enterprises.
At present, an enterprise user (advertiser) generally carries out video marketing by means of entrusting a video marketing company to make video content, releasing the video content on a video playing platform and managing the whole marketing process, the video marketing process and the effect can only realize feedback through a direct-faced report provided by the video marketing company, and the whole process cannot realize self-service management and tracking.
Disclosure of Invention
In order to solve the problems, the invention provides a self-service video marketing management system which can realize the whole-process tracking and analysis of a video marketing process and realize the directional delivery of marketing videos according to the tracking result, thereby improving the video marketing effect.
In order to achieve the purpose, the invention adopts the technical scheme that:
a self-service video marketing management system, comprising:
the network crawler module is used for crawling corresponding marketing video playing amount, corresponding praise amount and corresponding comment amount on each large video playing platform based on preset marketing video characteristic parameters;
the audience group positioning module is used for realizing the analysis of account information of praise people and comment people so as to position audience group characteristics adapted to the marketing video and construct an audience group characteristic configuration model;
the comment analysis module is used for mining comment data with value and realizing processing and analysis of the comment data;
the video content improvement suggestion module is used for generating corresponding video content improvement suggestions according to the processing and analyzing results of the comment data;
and the marketing video directional delivery module is used for realizing the directional delivery of the marketing video according to the positioning result of the audience group positioning module.
Furthermore, each marketing video is configured with independent marketing video characteristic parameters, and is realized by adopting a special symbol + special coding format.
Further, the audience group characteristics include an age interval characteristic, a gender characteristic and a distribution area characteristic of the audience.
Further, the comment analysis module is used for mining comments for making improvement suggestions for the video content, comments for putting doubt on the video content and comments for disgusting psychology of the video content, and different comment processing algorithms are configured for different comments.
Further, the comments for making the improvement suggestions aiming at the video content are directly transmitted to the video content improvement suggestion module to generate the corresponding video content improvement suggestions; the comments which are puzzled aiming at the video content are directly transferred to a comment answering module; aiming at the comments of the video content with aversion psychology, firstly analyzing the aversion types of the comments, if the comments are malicious, using the corresponding accounts as blacklists for video directional delivery, if the comments are not malicious, analyzing whether the reasons for the comments are related to the content loaded in the video, and if the comments are not malicious, switching to a video content improvement suggestion module to generate corresponding video content improvement suggestions.
Furthermore, the marketing video directional delivery module firstly realizes the configuration of each marketing video adaptive to the audience group through a preset audience group characteristic configuration model, and then realizes the configuration of the corresponding account number of the audience group through the identification of the account characteristics of the user, thereby realizing the directional delivery of the marketing video.
Further, still include:
and the video marketing effect evaluation module is used for realizing the evaluation of the video marketing effect of each video playing platform based on the marketing video playing amount, the praise amount and the comment amount crawled by the web crawler module.
Further: further comprising:
and the video tracking report generating module is used for generating a tracking report of each marketing video based on the marketing video playing amount, the praise amount and the comment amount crawled by the web crawler module and the corresponding video marketing effect evaluation result.
The invention has the following beneficial effects:
1) the whole-course tracking and analysis of the video marketing process can be realized, and the directional delivery of the marketing video can be realized according to the tracking result, so that the video marketing effect is improved.
2) Through the design of the comment analysis module, the automatic mining of comment data with values can be realized, and reference opinions are provided for the production and pushing of the marketing video at the next time.
3) The marketing video is marked by adopting a special symbol and special coding format, and the identification and positioning of the marketing video are realized based on the identification realized by adopting the special symbol and special coding format, so that the data processing efficiency of the web crawler module is greatly improved.
Drawings
Fig. 1 is a system block diagram of a self-service video marketing management system according to embodiment 1 of the present invention.
Fig. 2 is a system block diagram of a self-service video marketing management system according to embodiment 2 of the present invention.
Detailed Description
The present invention will be described in detail with reference to specific examples. The following examples will assist those skilled in the art in further understanding the invention, but are not intended to limit the invention in any way. It should be noted that variations and modifications can be made by persons skilled in the art without departing from the spirit of the invention. All falling within the scope of the present invention.
Example 1
As shown in fig. 1, a self-service video marketing management system includes:
the registration login module is used for realizing registration login of the user and matching the corresponding marketing video characteristic parameters and the corresponding operation authority according to the registration login information of the user;
the network crawler module is used for crawling corresponding marketing video playing amount, corresponding praise amount and corresponding comment amount on each large video playing platform based on preset marketing video characteristic parameters;
the audience group positioning module is used for realizing the analysis of account information of praise people and comment people so as to position audience group characteristics adapted to the marketing video and construct an audience group characteristic configuration model; specifically, mining of account information corresponding to praise people and comment people is achieved, and then an audience group feature configuration model is trained and constructed according to the mined age feature, gender feature, the feature of the area where the user is located and the type of the content carried in the marketing video corresponding to the user;
the comment analysis module is used for mining comment data with value and realizing processing and analysis of the comment data;
the video content improvement suggestion module is used for generating corresponding video content improvement suggestions according to the processing and analyzing results of the comment data;
the marketing video directional delivery module is used for realizing the directional delivery of the marketing video according to the positioning result of the audience group positioning module;
and the central processing module is used for coordinating the work of the modules.
In the embodiment, each marketing video is configured with independent marketing video characteristic parameters, the marketing video characteristic parameters are realized by adopting a special symbol and special coding format, and the web crawler module can realize the identification and positioning of the marketing videos through the identification of the special symbols and the arrangement sequence thereof.
In this embodiment, the audience cluster characteristics include an age interval characteristic, a gender characteristic, and a distribution area characteristic of the audience.
In this embodiment, the comment analysis module is configured to mine comments that make improvement suggestions for video content, comments that are puzzled for video content, and comments that have aversion to the video content, where different comments configure different comment processing algorithms; directly transmitting the comments for making the improvement suggestions aiming at the video content to a video content improvement suggestion module to generate corresponding video content improvement suggestions; the comments which are puzzled aiming at the video content are directly transferred to a comment answering module; the comment answering module comprises a machine answering mode and a manual answering module, the machine answering mode is used for answering the comment in a random forest mode, the manual answering module is used for answering information which cannot be answered by the machine answering mode and sending the information to enterprise users or advertisers in an automatic short message compiling and sending mode, the enterprise users or the advertisers can enter a comment checking and answering interface by clicking links carried in short messages, the types of dislike of the comment are analyzed aiming at the fact that video content has dislike psychology, if the comment is malicious, a corresponding account is used as a blacklist for video directional delivery, if the comment is not malicious, whether the reason of the comment is related to the video content or not needs to be analyzed, and if the comment is not malicious, the comment is transferred to the video content improvement suggestion module to generate a corresponding video content improvement suggestion.
In this embodiment, the marketing video targeted delivery module first implements configuration of each marketing video adapted to the audience group through a preset audience group feature configuration model, and then implements configuration of an account number corresponding to the audience group through recognition of a user account feature, thereby implementing targeted delivery of the marketing video.
Example 2
As shown in fig. 2, a self-service video marketing management system includes:
the registration login module is used for realizing registration login of the user and matching the corresponding marketing video characteristic parameters and the corresponding operation authority according to the registration login information of the user;
the network crawler module is used for crawling corresponding marketing video playing amount, corresponding praise amount and corresponding comment amount on each large video playing platform based on preset marketing video characteristic parameters;
the audience group positioning module is used for realizing the analysis of account information of praise people and comment people so as to position audience group characteristics adapted to the marketing video and construct an audience group characteristic configuration model; specifically, mining of account information corresponding to praise people and comment people is achieved, and then an audience group feature configuration model is trained and constructed according to the mined age feature, gender feature, the feature of the area where the user is located and the type of the content carried in the marketing video corresponding to the user;
the comment analysis module is used for mining comment data with value and realizing processing and analysis of the comment data;
the video content improvement suggestion module is used for generating corresponding video content improvement suggestions according to the processing and analyzing results of the comment data;
the marketing video directional delivery module is used for realizing the directional delivery of the marketing video according to the positioning result of the audience group positioning module;
the video marketing effect evaluation module is used for realizing the evaluation of the video marketing effect of each video playing platform based on the marketing video playing amount, the praise amount and the comment amount crawled by the web crawler module;
the video tracking report generation module is used for generating a tracking report of each marketing video based on the marketing video playing amount, the praise amount and the comment amount crawled by the web crawler module and the corresponding video marketing effect evaluation result;
and the central processing module is used for coordinating the work of the modules.
In this embodiment, each marketing video is configured with an independent marketing video characteristic parameter, and is implemented by using a special symbol + special coding format.
In this embodiment, the audience cluster characteristics include an age interval characteristic, a gender characteristic, and a distribution area characteristic of the audience.
In this embodiment, the comment analysis module is configured to mine comments that make improvement suggestions for video content, comments that are puzzled for video content, and comments that have aversion to the video content, where different comments configure different comment processing algorithms; directly transmitting the comments for making the improvement suggestions aiming at the video content to a video content improvement suggestion module to generate corresponding video content improvement suggestions; the comments which are puzzled aiming at the video content are directly transferred to a comment answering module; the comment answering module comprises a machine answering mode and a manual answering module, the machine answering mode is used for answering the comment in a random forest mode, the manual answering module is used for answering information which cannot be answered by the machine answering mode and sending the information to enterprise users or advertisers in an automatic short message compiling and sending mode, the enterprise users or the advertisers can enter a comment checking and answering interface by clicking links carried in short messages, the types of dislike of the comment are analyzed aiming at the fact that video content has dislike psychology, if the comment is malicious, a corresponding account is used as a blacklist for video directional delivery, if the comment is not malicious, whether the reason of the comment is related to the video content or not needs to be analyzed, and if the comment is not malicious, the comment is transferred to the video content improvement suggestion module to generate a corresponding video content improvement suggestion.
In this embodiment, the marketing video targeted delivery module first implements configuration of each marketing video adapted to the audience group through a preset audience group feature configuration model, and then implements configuration of an account number corresponding to the audience group through recognition of a user account feature, thereby implementing targeted delivery of the marketing video.
The foregoing description of specific embodiments of the present invention has been presented. It is to be understood that the present invention is not limited to the specific embodiments described above, and that various changes or modifications may be made by one skilled in the art within the scope of the appended claims without departing from the spirit of the invention. The embodiments and features of the embodiments of the present application may be combined with each other arbitrarily without conflict.
Claims (8)
1. A self-service video marketing management system is characterized in that: the method comprises the following steps:
the network crawler module is used for crawling corresponding marketing video playing amount, corresponding praise amount and corresponding comment amount on each large video playing platform based on preset marketing video characteristic parameters;
the audience group positioning module is used for realizing the analysis of account information of praise people and comment people so as to position audience group characteristics adapted to the marketing video and construct an audience group characteristic configuration model;
the comment analysis module is used for mining comment data with value and realizing processing and analysis of the comment data;
the video content improvement suggestion module is used for generating corresponding video content improvement suggestions according to the processing and analyzing results of the comment data;
and the marketing video directional delivery module is used for realizing the directional delivery of the marketing video according to the positioning result of the audience group positioning module.
2. The self-service video marketing management system of claim 1, wherein: each marketing video is configured with independent marketing video characteristic parameters and is realized by adopting a special symbol and a special coding format.
3. The self-service video marketing management system of claim 1, wherein: the audience group characteristics comprise age interval characteristics, gender characteristics and distribution area characteristics of the audiences.
4. The self-service video marketing management system of claim 1, wherein: the comment analysis module is used for mining comments which make improvement suggestions aiming at the video content, comments which are puzzled aiming at the video content and comments which have aversion psychology aiming at the video content, and different comment processing algorithms are configured for different comments.
5. The self-service video marketing management system of claim 4, wherein: directly transmitting the comments for making the improvement suggestions aiming at the video content to a video content improvement suggestion module to generate corresponding video content improvement suggestions; the comments which are puzzled aiming at the video content are directly transferred to a comment answering module; aiming at the comments of the video content with aversion psychology, firstly analyzing the aversion types of the comments, if the comments are malicious, using the corresponding accounts as blacklists for video directional delivery, if the comments are not malicious, analyzing whether the reasons for the comments are related to the content loaded in the video, and if the comments are not malicious, switching to a video content improvement suggestion module to generate corresponding video content improvement suggestions.
6. The self-service video marketing management system of claim 1, wherein: the marketing video directional delivery module firstly realizes the configuration of each marketing video adaptive to audience groups through a preset audience group characteristic configuration model, then realizes the configuration of corresponding account numbers of the audience groups through the identification of user account characteristics, and further realizes the directional delivery of the marketing videos.
7. The self-service video marketing management system of claim 1, wherein: further comprising:
and the video marketing effect evaluation module is used for realizing the evaluation of the video marketing effect of each video playing platform based on the marketing video playing amount, the praise amount and the comment amount crawled by the web crawler module.
8. The self-service video marketing management system of claim 1, wherein: further comprising:
and the video tracking report generating module is used for generating a tracking report of each marketing video based on the marketing video playing amount, the praise amount and the comment amount crawled by the web crawler module and the corresponding video marketing effect evaluation result.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117611243A (en)* | 2023-12-14 | 2024-02-27 | 任拓数据科技(上海)有限公司 | Analysis method for quantitatively analyzing interaction and sales indexes of content tags |
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