Self-media streaming pushing method

Abstract

The invention discloses a self-media streaming pushing method, belongs to the technical field of self-media pushing, and ensures accurate positioning and attraction of contents through detailed target audience analysis and content planning. Through market research and user interviews, demands and pain points of target audiences are deeply mined, so that content creation can be targeted, and specific demands of users are met. And content strategies are customized for different sub-groups by subdividing the target audience groups, so that the pertinence and attraction of the content are improved. Therefore, the content better conforms to the expectation of the user, and the satisfaction and loyalty of the user are improved. And through content optimization and continuous adjustment of a delivery strategy, a virtuous cycle of continuous optimization of the content and self-media streaming pushing is realized. In the content optimization process, keywords and content formats are optimized by analyzing a platform algorithm and a recommendation mechanism, so that the content can better adapt to display requirements of different platforms, and the exposure rate of the content and the user experience are improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of self-media push, and specifically relates to a self-media streaming push method. Background Art

[0002] We-media push refers to the use of paid promotion to push content to a wider audience on self-media platforms. Simply put, we-media push is to accurately promote content on self-media platforms through paid means to increase the number of content readers, views or interaction rates, so as to achieve brand promotion, product promotion or other commercial purposes. This method can effectively expand the influence of content and attract more attention and potential customers. We-media push is a common practice in the current digital marketing field. It involves promoting carefully crafted content on major self-media platforms through paid methods. The following is a specific introduction to this concept: The core of we-media push lies in two parts: "we-media" and "pushing". We-media refers to the channels for individuals or enterprises to publish information and interact with users based on online platforms, such as Weibo, WeChat public accounts, Douyin, etc. "Pushing traffic" refers to using the advertising systems of these platforms to display content to potential target audiences according to specific goals and budgets.

[0003] However, existing technologies may not be able to fully adapt to the algorithms and recommendation mechanisms of major platforms, resulting in a lack of targeted optimization of content strategies by content creators, which affects the exposure and recommendation of content. At the same time, the inability to provide effective AI technology and keyword research tools makes content creators lack strategies in search engine optimization, resulting in low rankings of content in search engines, affecting the visibility of content and its ability to attract potential users. Summary of the invention

[0004] The purpose of the present invention is to provide a self-media streaming push method in order to solve the above-mentioned problems.

[0005] The technical solution adopted by the present invention is as follows: a self-media streaming push method, comprising the following steps:

[0006] S1: First determine the target audience, draw a portrait, clarify the target audience, investigate needs, and segment the groups;

[0007] S2: Conduct content planning, develop outlines, determine style and update frequency;

[0008] S3: Create content, use trending topics, optimize titles, add beautiful pictures, and perform multiple rounds of editing;

[0009] S4: Content optimization, analyze platform algorithms, and understand recommendation mechanisms. Optimize keywords to improve content rankings in search engines. Adjust content formats to adapt to display effects on different platforms. Collect user feedback and continuously optimize content;

[0010] S5: Select the delivery channel, consider the characteristics of the platform, and deliver smoothly after complying with the rules;

[0011] S6: Develop delivery strategies, formulate budgets, set goals, adjust strategies, and optimize the delivery effects of self-media;

[0012] S7: Data monitoring and adjustment, problem analysis, strategy adjustment, and continuous optimization.

[0013] In a preferred embodiment, in step S1, the method flow for determining the target audience is to first draw a user portrait by analyzing the user data of the self-media platform, including age, gender, region, interests and hobbies. Then, based on these portrait characteristics, clarify your target audience group, which helps to position the content more accurately. Then, through market research and user interviews, etc., deeply understand the needs and pain points of the target audience, and this information will provide important direction for content creation. Finally, segment the target audience and customize content strategies for different subgroups to ensure that the content can meet the specific needs of different user groups.

[0014] In a preferred embodiment, in step S2, the method flow of content planning involves planning attractive content themes based on the needs of the target audience, which should be closely related to the interests of the audience. Subsequently, a detailed content outline is formulated to clarify the structure and key content of the article or video to ensure that the content is logical and easy to understand. Next, the style of the content is determined according to the preferences of the target audience, such as humor, professional or practical, to enhance the attractiveness of the content. Finally, a reasonable content update frequency is formulated based on resources and capabilities to keep the content fresh and the user's continued attention.

[0015] In a preferred embodiment, in step S4, the algorithm analysis tool includes: developing or using existing algorithm analysis tools to automatically collect and analyze changes in platform algorithms and monitor recommendation rules in real time. Designing simulation experiments to test the recommendation effects of different types of content on different platforms to understand algorithm preferences. Establishing a dedicated team to focus on researching platform algorithms, regularly sharing research results, and updating the operation manual.

[0016] In a preferred embodiment, in step S4, in the process of optimizing keywords, AI keyword optimization is performed, using artificial intelligence technology to analyze keyword trends and competition levels, and automatically recommend the best keywords;

[0017] The calculation formula is: Keyword optimization score (KWS) = keyword search volume (SV) * competition coefficient (CC) * correlation coefficient (RC);

[0018] The keyword search volume refers to the average monthly number of keyword searches on search engines, reflecting the user's interest in and demand for the keyword. The competition coefficient indicates the degree of competition for a keyword on a search engine, which is usually determined by factors such as the number of search results and advertisements for the keyword. The relevance coefficient measures the relevance between a keyword and a content topic. The higher the relevance, the closer the coefficient is to 1.

[0019] In the process of improving the ranking of content in search engines, the ranking is monitored and adjusted. The optimization calculation formula is:

[0020] Ranking improvement index (RTI) = (current ranking - original ranking) / original ranking * 100%;

[0021] The current ranking indicates the current ranking position of the keyword in the search engine.

[0022] Original ranking refers to the initial ranking position before keyword optimization.

[0023] In a preferred embodiment, in the step S4, in the process of analyzing the platform algorithm, first, it is necessary to analyze the characteristics of major self-media platforms, including the matching degree of user groups, content display methods, interactive characteristics, etc., to ensure that the content can be best displayed on different platforms. Secondly, according to the characteristics of the platform, adjust the layout, color, font and other visual elements of the content to meet the display requirements of the platform and improve the user experience. For example, on the Douyin platform, you can use a vertical screen video format, add background music and special effects to attract user attention; on the WeChat public account, you can use a combination of pictures and texts, and use rich picture and text layout to enhance the attractiveness of the content. In addition, according to the algorithms and recommendation mechanisms of different platforms, adjust the title, tags, keywords, etc. of the content to increase the exposure of the content. When adjusting the content format, it is also necessary to consider the interactive characteristics of the platform, such as encouraging users to like, comment and share on the Douyin platform to increase the interactivity of the content; on the WeChat public account, you can set topic tags to guide users to participate in discussions and improve the activity of the content. Finally, collect user feedback, and continuously optimize the content format based on the feedback to improve user satisfaction and loyalty. Through continuous adjustment and optimization, we ensure that the content can be well displayed on different platforms, attract more user attention, and achieve the goal of self-media investment and push.

[0024] In a preferred embodiment, in step S3, content creation includes: writing high-quality articles or producing video content to ensure the originality and value of the content. In the creation process, hot topics and tags are appropriately used to increase the exposure of the content. At the same time, the title is optimized to attract clicks, and the content structure is clear and easy to read or watch. In addition, exquisite illustrations and visual elements are used to enhance the visual effect of the content and enhance the user's reading experience. Finally, the content is edited and proofread multiple times to ensure the accuracy and professionalism of the content.

[0025] In a preferred embodiment, in step S5, the method flow of selecting the delivery channel is to analyze the characteristics and advantages and disadvantages of major self-media platforms, and select the most suitable delivery channel in combination with the content type and the characteristics of the target audience. In this process, factors such as the matching degree of the platform user group, the content display method, and the interactive characteristics should be considered. At the same time, understand and abide by the delivery rules of each platform, avoid illegal operations, ensure that the content can be delivered smoothly, and achieve good results.

[0026] In a preferred embodiment, in step S6, the method flow of formulating the delivery strategy includes determining the best delivery time, such as the morning and evening peak hours when users are active, to increase the exposure rate of the content. Formulate a delivery budget and reasonably allocate advertising expenses to ensure the maximization of the delivery effect. Set clear delivery goals, such as increasing the number of readers or the conversion rate, as a criterion for evaluating the delivery effect. According to the data feedback of the delivery effect, adjust the delivery strategy in time to achieve the best return on investment.

[0027] In a preferred embodiment, in step S7, the method flow of data monitoring and adjustment is to continuously monitor the effect of content delivery and pay attention to key data indicators, such as the number of readings, the number of likes, the number of reposts and the number of comments, which will reflect the popularity of the content and the user engagement. Analyze the data to find out the problems that affect the effect, such as content quality, delivery time or delivery channel. According to the analysis results, adjust the content creation and delivery strategy, continuously improve the delivery effect, and realize the continuous optimization and virtuous cycle of self-media delivery and push.

[0028] In summary, due to the adoption of the above technical solution, the beneficial effects of the present invention are:

[0029] 1. In the present invention, the precise positioning and attractiveness of the content are ensured through detailed target audience analysis and content planning. Through market research and user interviews, the needs and pain points of the target audience are deeply explored, so that content creation can be targeted and meet the specific needs of users. In addition, by segmenting the target audience groups and customizing content strategies for different subgroups, the relevance and attractiveness of the content are further improved. Such a method flow makes the content more in line with user expectations and improves user satisfaction and loyalty.

[0030] 2. In the present invention, through the continuous adjustment of content optimization and delivery strategy, a virtuous cycle of continuous optimization of content and self-media streaming and pushing is achieved. In the process of content optimization, by analyzing the platform algorithm and recommendation mechanism, optimizing keywords and content formats, the content can better adapt to the display requirements of different platforms, and improve the exposure rate of content and user experience. At the same time, by collecting user feedback and continuously optimizing content, the quality and relevance of the content are further improved. In the process of formulating and adjusting the delivery strategy, the delivery effect is maximized by determining the optimal delivery time and setting delivery goals. By continuously monitoring data and analyzing problems, timely adjusting strategies, continuous optimization of content and improvement of delivery effects are ensured. Such a method flow enables content to better meet user needs, improves the attractiveness of content and user satisfaction, and achieves a virtuous cycle of self-media streaming and pushing. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] Figure 1 It is a schematic diagram of the process principle of the present invention. DETAILED DESCRIPTION

[0032] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0033] Reference Figure 1 ,

[0034] A self-media streaming push method comprises the following steps:

[0035] S1: First determine the target audience, draw a portrait, clarify the target audience, investigate needs, and segment the groups;

[0036] S2: Conduct content planning, develop outlines, determine style and update frequency;

[0037] S3: content creation, using trending topics, optimizing titles, beautifully matching pictures, and multiple rounds of editing;

[0038] S4: Content optimization, analyze platform algorithms, and understand recommendation mechanisms. Optimize keywords to improve content rankings in search engines. Adjust content formats to adapt to display effects on different platforms. Collect user feedback and continuously optimize content;

[0039] S5: Select the delivery channel, consider the characteristics of the platform, and deliver smoothly after complying with the rules;

[0040] S6: Develop delivery strategies, formulate budgets, set goals, adjust strategies, and optimize the delivery effects of self-media;

[0041] S7: Data monitoring and adjustment, problem analysis, strategy adjustment, and continuous optimization.

[0042] In step S1, the method flow for determining the target audience is to first draw a user portrait by analyzing the user data of the self-media platform, including age, gender, region, interests and hobbies. Then, based on these portrait characteristics, clarify your target audience group, which will help to position the content more accurately. Then, through market research and user interviews, you can gain an in-depth understanding of the needs and pain points of the target audience. This information will provide important direction for content creation. Finally, segment the target audience and customize content strategies for different sub-groups to ensure that the content can meet the specific needs of different user groups.

[0043] In step S2, the content planning method involves planning attractive content topics based on the needs of the target audience, which should be closely related to the audience's interests. Subsequently, a detailed content outline is developed to clarify the structure and key points of the article or video to ensure that the content is logical and easy to understand. Next, the style of the content is determined according to the preferences of the target audience, such as humorous, professional or practical, to enhance the attractiveness of the content. Finally, a reasonable content update frequency is formulated based on resources and capabilities to keep the content fresh and the user's continued attention.

[0044] In step S4, the algorithm analysis tool operation includes: developing or using existing algorithm analysis tools to automatically collect and analyze changes in platform algorithms and monitor recommendation rules in real time. Designing simulation experiments to test the recommendation effects of different types of content on different platforms to understand algorithm preferences. Establishing a dedicated team to focus on researching platform algorithms, regularly sharing research results, and updating the operation manual.

[0045] In step S4, in the process of optimizing keywords, AI keyword optimization is used to analyze keyword trends and competition levels using artificial intelligence technology to automatically recommend the best keywords;

[0046] The calculation formula is: Keyword optimization score (KWS) = keyword search volume (SV) * competition coefficient (CC) * correlation coefficient (RC);

[0047] The keyword search volume refers to the average monthly number of keyword searches on search engines, reflecting the user's interest in and demand for the keyword. The competition coefficient indicates the degree of competition for a keyword on a search engine, which is usually determined by factors such as the number of search results and advertisements for the keyword. The relevance coefficient measures the relevance between a keyword and a content topic. The higher the relevance, the closer the coefficient is to 1.

[0048] In the process of improving the ranking of content in search engines, the ranking is monitored and adjusted. The optimization calculation formula is:

[0049] Ranking improvement index (RTI) = (current ranking - original ranking) / original ranking * 100%;

[0050] The current ranking indicates the current ranking position of the keyword in the search engine.

[0051] Original ranking refers to the initial ranking position before keyword optimization.

[0052] In step S4, in the process of analyzing the platform algorithm, first, it is necessary to analyze the characteristics of major self-media platforms, including the matching degree of user groups, content display methods, interactive characteristics, etc., to ensure that the content can be best displayed on different platforms. Secondly, according to the characteristics of the platform, adjust the layout, color, font and other visual elements of the content to meet the display requirements of the platform and improve the user experience. For example, on the Douyin platform, you can use a vertical screen video format, add background music and special effects to attract user attention; on WeChat public accounts, you can use a combination of pictures and texts, and use rich picture and text layout to enhance the attractiveness of the content. In addition, according to the algorithms and recommendation mechanisms of different platforms, adjust the title, tags, keywords, etc. of the content to increase the exposure of the content. When adjusting the content format, it is also necessary to consider the interactive characteristics of the platform, such as encouraging users to like, comment and share on the Douyin platform to increase the interactivity of the content; on WeChat public accounts, you can set topic tags to guide users to participate in discussions and improve the activity of the content. Finally, collect user feedback, and continuously optimize the content format based on feedback to improve user satisfaction and loyalty. Through continuous adjustment and optimization, we ensure that the content can be well displayed on different platforms, attract more user attention, and achieve the goal of self-media investment and push.

[0053] In step S3, content creation includes: writing high-quality articles or producing video content to ensure the originality and value of the content. In the creation process, appropriate use of hot topics and tags is used to increase the exposure of the content. At the same time, the title is optimized to attract clicks, and the content structure is clear and easy to read or watch. In addition, exquisite illustrations and visual elements are used to enhance the visual effect of the content and enhance the user's reading experience. Finally, multiple rounds of editing and proofreading are carried out on the content to ensure the accuracy and professionalism of the content.

[0054] In step S5, the method flow of selecting the delivery channel is to analyze the characteristics and advantages and disadvantages of major self-media platforms, and select the most appropriate delivery channel based on the content type and the characteristics of the target audience. In this process, factors such as the matching degree of the platform user group, the content display method, and the interactive characteristics should be considered. At the same time, understand and abide by the delivery rules of each platform, avoid illegal operations, and ensure that the content can be delivered smoothly and achieve good results.

[0055] In step S6, the method flow of formulating the delivery strategy includes determining the best delivery time, such as the peak hours in the morning and evening when users are active, to increase the exposure of the content. Formulate a delivery budget and reasonably allocate advertising expenses to ensure the maximum delivery effect. Set clear delivery goals, such as increasing the number of readers or increasing the conversion rate, as a standard for evaluating the delivery effect. According to the data feedback of the delivery effect, adjust the delivery strategy in time to achieve the best return on investment.

[0056] In step S7, the method flow of data monitoring and adjustment is to continuously monitor the effect of content delivery and pay attention to key data indicators, such as the number of readings, the number of likes, the number of reposts, and the number of comments, which will reflect the popularity of the content and the user engagement. Analyze the data to find out the problems that affect the effect, such as content quality, delivery time, or delivery channel. According to the analysis results, adjust the content creation and delivery strategy, continuously improve the delivery effect, and realize the continuous optimization and virtuous cycle of self-media delivery and push.

[0057] In the present invention, the precise positioning and attractiveness of the content are ensured through detailed target audience analysis and content planning. Through market research and user interviews, the needs and pain points of the target audience are deeply explored, so that content creation can be targeted and meet the specific needs of users. In addition, by segmenting the target audience groups and customizing content strategies for different subgroups, the relevance and attractiveness of the content are further improved. Such a method flow makes the content more in line with user expectations and improves user satisfaction and loyalty.

[0058] In the present invention, through the continuous adjustment of content optimization and delivery strategy, the continuous optimization of content and the virtuous cycle of self-media streaming and pushing are realized. In the process of content optimization, by analyzing the platform algorithm and recommendation mechanism, the keywords and content format are optimized, so that the content can better adapt to the display requirements of different platforms, and the exposure rate and user experience of the content are improved. At the same time, by collecting user feedback and continuously optimizing the content, the quality and relevance of the content are further improved. In the process of formulating and adjusting the delivery strategy, the delivery effect is maximized by determining the optimal delivery time and setting the delivery target. By continuously monitoring data and analyzing problems, the strategy is adjusted in time to ensure the continuous optimization of content and the improvement of delivery effect. Such a method flow enables the content to better meet user needs, improves the attractiveness of the content and user satisfaction, and realizes the virtuous cycle of self-media streaming and pushing.

[0059] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the term "comprises" or any other variant thereof is intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprises a ..." do not exclude the existence of other identical elements in the process, method, article or device including the elements.

[0060] The above description enables those skilled in the art to implement or use the present invention. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to the embodiments shown herein, but will conform to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A self-media streaming push method, characterized by: The steps include: S1: First determine the target audience, draw a portrait, clarify the target audience, investigate needs, and segment the groups; S2: Conduct content planning, develop outlines, determine style and update frequency; S3: Create content, use trending topics, optimize titles, add beautiful pictures, and perform multiple rounds of editing; S4: Content optimization, analyze platform algorithms, and understand recommendation mechanisms; optimize keywords to improve content rankings in search engines; adjust content formats to adapt to display effects on different platforms; Collect user feedback and continuously optimize content; S5: Select the delivery channel, consider the characteristics of the platform, and deliver smoothly after complying with the rules; S6: Develop delivery strategies, formulate budgets, set goals, adjust strategies, and optimize the delivery effects of self-media; S7: Data monitoring and adjustment, problem analysis, strategy adjustment, and continuous optimization.

2. A self-media streaming push method as claimed in claim 1, characterized in that: In step S1, the method process for determining the target audience is to first draw a user portrait by analyzing the user data of the self-media platform, including age, gender, region, interests and hobbies; then, clarify the target audience group based on these portrait characteristics, which helps to position the content more accurately; then, through market research and user interviews, deeply understand the needs and pain points of the target audience, and this information will provide important direction for content creation; finally, segment the target audience and customize content strategies for different sub-groups to ensure that the content can meet the specific needs of different user groups.

3. A self-media streaming method as claimed in claim 1, characterized in that: In step S2, the method flow of content planning involves planning attractive content themes based on the needs of the target audience, and these themes should be closely related to the interests of the audience; then, a detailed content outline is formulated to clarify the structure and key content of the article or video to ensure that the content is logical.

4. A self-media streaming method as claimed in claim 1, characterized in that: In step S4, the algorithm analysis tool operation includes: developing or using existing algorithm analysis tools to automatically collect and analyze changes in platform algorithms and monitor recommendation rules in real time; designing simulation experiments to test the recommendation effects of different types of content on different platforms to understand algorithm preferences.

5. A self-media streaming push method as claimed in claim 1, characterized in that: In the step S4, in the process of optimizing keywords, AI keyword optimization is performed, using artificial intelligence technology to analyze keyword trends and competition levels, and automatically recommend the best keywords; The calculation formula is: Keyword optimization score (KWS) = keyword search volume (SV) * competition coefficient (CC) * correlation coefficient (RC); The keyword search volume refers to the average monthly number of keyword searches on search engines, reflecting the user's interest in and demand for the keyword; the competition coefficient indicates the degree of competition for the keyword on search engines, which is determined by the number of search results and the number of advertisements for the keyword; The correlation coefficient measures the relevance of keywords to the content topic. The higher the correlation, the closer the coefficient is to 1. In the process of improving the ranking of content in search engines, the ranking is monitored and adjusted. The optimization calculation formula is: Ranking improvement index (RTI) = (current ranking - original ranking) / original ranking * 100%; The current ranking indicates the current ranking position of the keyword in the search engine; Original ranking refers to the initial ranking position before keyword optimization.

6. A self-media streaming method as claimed in claim 1, characterized in that: In step S4, in the process of analyzing the platform algorithm, first, it is necessary to analyze the characteristics of major self-media platforms, including the matching degree of user groups, content display methods, and interactive characteristics, to ensure that the content can be best displayed on different platforms; secondly, according to the characteristics of the platform, adjust the layout, color, font visual elements of the content to make it meet the display requirements of the platform and enhance the user experience.

7. A self-media streaming method as claimed in claim 1, characterized in that: In step S3, content creation includes: writing high-quality articles or producing video content to ensure the originality and value of the content; in the creation process, appropriately using hot topics and tags to increase the exposure of the content; at the same time, optimizing the title to attract clicks, ensuring that the content structure is clear and easy to read or watch; in addition, matching with exquisite illustrations and visual elements to enhance the visual effect of the content and enhance the user's reading experience; finally, performing multiple rounds of editing and proofreading on the content to ensure the accuracy and professionalism of the content.

8. A self-media streaming method as claimed in claim 1, characterized in that: In step S5, the method flow for selecting the delivery channel is to analyze the characteristics and advantages and disadvantages of major self-media platforms, and select the most appropriate delivery channel based on the content type and the characteristics of the target audience; in this process, the matching degree of the platform user group, the content display method, and the interactive characteristics are considered; at the same time, the delivery rules of each platform are understood and complied with to avoid illegal operations, to ensure that the content can be delivered smoothly and achieve good results.

9. A self-media streaming method as claimed in claim 1, characterized in that: In step S6, the method flow for formulating the delivery strategy includes determining the best delivery time, including the morning and evening peak hours when users are active, so as to increase the exposure rate of the content; formulating a delivery budget, reasonably allocating advertising expenses, and ensuring the maximization of the delivery effect; setting clear delivery goals, including increasing the number of readers or increasing the conversion rate, as a standard for evaluating the delivery effect; and adjusting the delivery strategy in a timely manner according to the data feedback on the delivery effect to achieve the best return on investment.

10. A self-media streaming push method as claimed in claim 1, characterized in that: In step S7, the method flow of data monitoring and adjustment is: continuously monitor the effect of content delivery, pay attention to key data indicators, including reading volume, like volume, forwarding volume and comment volume, which reflect the popularity of the content and user engagement; analyze the data to find out the problems that affect the effect, including content quality, delivery time or delivery channel; adjust the content creation and delivery strategy according to the analysis results, continuously improve the delivery effect, and realize the continuous optimization and virtuous cycle of self-media delivery and push.

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