Digital media propaganda and promotion method and system
By carefully collecting the population and consumption habit information of the areas to be deployed, using cluster analysis and correlation to divide the areas, and determining the core areas to be deployed and the core publicity and promotion information, the problem of unreasonable resource allocation in traditional promotion methods is solved, and precise marketing and continuous optimization are achieved.
Patent Information
- Application Number
- CN202411854823.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-17
- Publication Date
- 2025-04-04
- Estimated Expiration
- 2044-12-17
AI Technical Summary
The traditional digital media publicity and promotion methods lack targeted data analysis, which leads to the inability to accurately place publicity resources into the target audience, and lacks scientific classification standards and methods, resulting in unreasonable resource allocation and poor publicity results.
By obtaining the population and consumption habit information of the area to be delivered, using cluster analysis to obtain the information correlation degree, dividing the area according to the preset correlation threshold section, determining the core area to be delivered, and dividing the media information categories according to the regional characteristics, and determining the core publicity and promotion information for delivery.
It has achieved accurate positioning of the target audience, optimized resource allocation, improved publicity effect, achieved precise marketing and continuous optimization, and provided strong digital media promotion support for enterprises.
Smart Images

Figure CN119762163A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of media promotion, and in particular to a digital media promotion method and system. Background Art
[0002] In the current digital media era, companies are facing unprecedented challenges in publicity and promotion. Traditional advertising methods often adopt a "wide-net" strategy, that is, to cover the advertising information to a wider audience as much as possible in order to achieve higher exposure and visibility. However, this strategy often leads to a waste of resources because not all audiences are the company's target customers.
[0003] In digital media promotion, accurate positioning of the target audience is the key to improving the effectiveness of promotion. However, this goal faces many difficulties in practice. First, the population and consumption habits information in the area to be launched is complex and changeable, making it difficult to accurately collect and analyze. Consumers in different regions, different age groups, and different professional backgrounds have different needs and preferences, which makes it difficult for companies to formulate a unified promotion strategy. Secondly, even if relevant data is collected, how to effectively use this data for accurate positioning is also a technical problem. Traditional promotion methods often lack targeted data analysis, resulting in the inability to accurately deliver promotional resources to the target audience.
[0004] In addition to the precise positioning of the target audience, the scientific division of the areas to be launched and the allocation of resources are also major challenges faced by enterprises. The market environment and consumer demand in different regions are different, and enterprises need to formulate different publicity and promotion strategies based on these differences. However, in actual operations, enterprises often lack scientific division standards and methods, resulting in unreasonable resource allocation and poor publicity effects.
[0005] Therefore, it is necessary to provide a digital media promotion method and system to solve the above technical problems. Summary of the invention
[0006] In order to solve the above technical problems, the present invention provides a digital media publicity and promotion method and system for solving the problems that traditional publicity and promotion methods often lack targeted data analysis, resulting in the inability to accurately deliver publicity resources to the target audience, and often lack scientific classification standards and methods, resulting in unreasonable resource allocation and poor publicity effects.
[0007] The present invention provides a digital media promotion method, the promotion method comprising: Obtain the areas to be launched in the current media publicity plan, and respectively obtain the regional information of each area to be launched, wherein the regional information of the area to be launched specifically includes population and consumption habits; Based on the acquired regional information of each area to be deployed, the information correlation of each area to be deployed is obtained by cluster analysis; Based on the information relevance of each area to be deployed, each area to be deployed is classified and divided according to a preset relevance threshold segment to obtain various types of areas to be deployed; According to the preset core evaluation criteria, determine the core areas to be deployed in each type of areas to be deployed; According to the various areas to be launched and their core areas to be launched, the categories of the current media information to be promoted are divided, and the core promotion information is determined among the various types of media information to be promoted; The media information of each category and its determined core publicity and promotion information shall be placed in each category of areas to be placed and its core areas to be placed for publicity and promotion.
[0008] Preferably, the steps of obtaining the areas to be delivered of the current media publicity plan and respectively obtaining the regional information of each area to be delivered, wherein the regional information of the area to be delivered specifically includes population and consumption habits, are as follows: Determine the areas to be placed in the current media publicity plan through historical placement data, where the areas to be placed are specifically urban areas or communities in the city; For each area to be launched, collect regional information on its population and consumption habits. The population information includes the total population, age structure and gender ratio, while the consumption habits include consumption level, consumption preferences and shopping frequency.
[0009] Preferably, the information correlation of each area to be deployed is obtained by cluster analysis based on the acquired area information of each area to be deployed, and the specific steps are: Cleaning and sorting the acquired regional information of each area to be deployed, and obtaining the regional information of each area to be deployed after preprocessing; By means of cluster analysis, the population regional information and consumption habit regional information in the pre-processed regional information of each area to be deployed are quantified to obtain the quantitative analysis results of the population regional information and consumption habit regional information in each area to be deployed; Based on the quantitative analysis results of the population area information and the consumption habit area information in each area to be deployed, the quantitative analysis results of the population area information and the consumption habit area information are integrated into information correlation by multiplication to obtain the information correlation of each area to be deployed.
[0010] Preferably, based on the information correlation of each area to be deployed, each area to be deployed is classified and divided according to a preset correlation threshold range to obtain various types of areas to be deployed, and the specific steps are: Set relevance threshold segments based on the media's publicity and promotion goals; By setting the relevance threshold segment, determining the specific relevance threshold segment to which the information relevance of each area to be placed belongs; The areas to be placed whose information relevance belongs to the same relevance threshold segment are divided into similar areas, so as to obtain various types of areas to be placed.
[0011] Preferably, the core areas to be deployed are determined in each type of areas to be deployed according to the preset core evaluation criteria, and the specific steps are: Set core evaluation criteria for core areas to be launched, including the geographical location's proximity to the main street, population density, spending power, and cultural relevance; Based on the core evaluation criteria and through data analysis methods, the distance of each of the various areas to be launched from the main street, population density, consumption capacity and cultural background of each area to be launched are obtained; The distance of each area to be deployed from the main street, population density, consumption capacity and cultural background are combined in a multiplication manner to obtain a comprehensive value, and the area to be deployed with the highest comprehensive value is taken as the core area to be deployed in its category.
[0012] Preferably, the method of classifying the current media information to be promoted according to the various types of areas to be placed and the core areas to be placed, and determining the core promotion information in the various types of media information to be promoted, comprises the following specific steps: According to the characteristics of various areas to be launched and core areas to be launched, based on content themes and audience groups, the current media information to be promoted is divided into categories corresponding to the categories of the areas to be launched, and various types of current media information to be promoted are obtained; Among all types of media information currently to be promoted, the media information most relevant to the promotional goal is selected as the core promotional media information based on the promotional goal.
[0013] Preferably, the media information of each category and its determined core publicity and promotion information are placed in each category of areas to be placed and its core areas to be placed for publicity and promotion, and the specific steps are: According to the various areas to be launched and the core areas to be launched, as well as the various types of current promotional media information to be divided and the determined core promotional media information, set the specific launch time and launch frequency. Among them, the core promotional media information corresponding to the core areas to be launched has the longest launch time and the highest launch frequency; According to the set specific delivery time and frequency, the various types of current media information to be promoted and the determined core media information to be promoted will be delivered to the various types of areas to be delivered and their core areas to be delivered for promotion.
[0014] A digital media publicity and promotion system, the promotion system specifically comprising: The information acquisition module is used to acquire the areas to be launched in the current media publicity plan, and respectively acquire the regional information of each area to be launched, wherein the regional information of the area to be launched specifically includes population and consumption habits; The association analysis module is used to obtain the information association degree of each area to be deployed through cluster analysis based on the regional information of each area to be deployed; A classification module is used to classify and divide each area to be deployed based on the information relevance of each area to be deployed and according to a preset relevance threshold segment to obtain various types of areas to be deployed; A core identification module is used to determine the core areas to be deployed in each type of areas to be deployed according to the preset core evaluation criteria; The information classification module is used to classify the current media information to be promoted according to various areas to be promoted and their core areas to be promoted, and determine the core promotion information among various types of media information to be promoted; The information delivery module is used to deliver various types of media information and its determined core publicity and promotion information to various types of areas to be delivered and its core areas to be delivered for publicity and promotion.
[0015] Compared with the related art, the digital media promotion method and system provided by the present invention has the following beneficial effects: The present invention achieves accurate positioning of the target audience by carefully collecting information on the population and consumption habits of the areas to be launched, and accurately dividing the regional information correlation using correlation coefficients or cluster analysis. At the same time, it scientifically divides the areas to be launched and determines the core areas to be launched, optimizes resource allocation, and enables publicity and promotion resources to be more concentratedly and effectively deployed in key areas. In addition, the method also classifies and delivers media information according to regional characteristics, and sets flexible delivery strategies, which improves the publicity effect, realizes accurate marketing and continuous optimization, and provides strong support for enterprises to use digital media for publicity and promotion. BRIEF DESCRIPTION OF THE DRAWINGS
[0016] Figure 1 A flowchart of a digital media promotion method of the present invention; Figure 2 This is a flow chart of step S3 of a digital media promotion method of the present invention; Figure 3The system block diagram of a digital media publicity and promotion system of the present invention. DETAILED DESCRIPTION
[0017] The present invention will be further described below in conjunction with the accompanying drawings and implementation modes.
[0018] Embodiment 1 like Figure 1 As shown, a digital media promotion method comprises the following steps: S100, obtaining the areas to be delivered of the current media publicity plan, and respectively obtaining the regional information of each area to be delivered, wherein the regional information of the area to be delivered specifically includes population and consumption habits; S200, based on the acquired regional information of each area to be deployed, obtaining the information correlation of each area to be deployed by cluster analysis; S300, based on the information relevance of each area to be deployed, the areas to be deployed are classified and divided according to a preset relevance threshold range to obtain various types of areas to be deployed; S400, determining the core areas to be deployed in each type of areas to be deployed according to a preset core evaluation standard; S500, classifying the current media information to be promoted according to the various types of areas to be placed and their core areas to be placed, and determining the core promotion information among the various types of media information to be promoted; S600: The media information of each category and the determined core publicity and promotion information are correspondingly placed in each category of areas to be placed and the core areas to be placed for publicity and promotion.
[0019] In the specific implementation process, the specific steps of step S100 are: S101. Determine the area to be placed in the current media publicity plan through historical placement data, wherein the area to be placed is specifically an urban area or community in a city; Specifically, first collect historical data, including the amount of advertising in each advertising area in the past period, advertising effects (such as click-through rate, conversion rate, etc.), audience feedback and other information, and determine the areas to be advertised in combination with the goals and budget of the current media publicity plan; S102. For each area to be launched, collect regional information on population and consumption habits, where population information includes total population, age structure and gender ratio, and consumption habits include consumption level, consumption preference and shopping frequency.
[0020] In the specific implementation process, the specific steps of step S200 are: S201, cleaning and sorting the acquired regional information of each area to be placed, and obtaining the regional information of each area to be placed after preprocessing; Specifically, the regional information of each area to be deployed is obtained to remove duplicate data and process missing values, which is specifically implemented by interpolation or mean filling, and correct erroneous data, such as obvious input errors, logical errors, etc.; the cleaned regional information is sorted in a unified format, such as converting the regional information into a format suitable for analysis (CSV, Excel, etc.), and finally the regional information is standardized or normalized for storage; S202, quantifying the population regional information and consumption habit regional information in the pre-processed regional information of each area to be deployed by cluster analysis, and obtaining quantitative analysis results of the population regional information and consumption habit regional information in each area to be deployed; Specifically, in this embodiment, a clustering algorithm, specifically K-means or hierarchical clustering, is used to input the regional information of each area to be deployed into the clustering algorithm to identify regional groups with similar population and consumption habit characteristics, and obtain quantitative analysis results of the population and consumption habit regional information of each area to be deployed; For example, the K-means clustering method is selected to perform cluster analysis on the two areas A and B. According to the specific indicators of population and consumption habits, the two urban areas can be divided into two categories: one is the urban area with high consumption and high population density (such as urban area A), and the other is the urban area with low consumption and low population density (such as urban area B). Then, according to the results of the cluster analysis, a score or ranking is assigned to the two urban areas in terms of population and consumption habits; S203, based on the quantitative analysis results of the population area information and the consumption habit area information of each area to be deployed, the quantitative analysis results of the population area information and the consumption habit area information are integrated into information relevance by multiplication to obtain the information relevance of each area to be deployed; Specifically, the quantitative analysis results of population and consumption habits are combined through the product method, because the product method can consider the size and relative importance of the two factors at the same time, thus obtaining a more comprehensive and accurate information relevance index; For example, if urban areas A and B are respectively assigned a score for population and consumption habits, specifically, urban area A has a population score of 80 points and a consumption habit score of 90 points; urban area B has a population score of 60 points and a consumption habit score of 50 points), then the information correlation of the two urban areas is calculated by multiplication: the information correlation of urban area A is 80×90=7200 points; the information correlation of urban area B is 60×50=3000 points. Obviously, urban area A has a higher information correlation, which means that it has more advantages and appeal in terms of population and consumption habits.
[0021] like Figure 2 As shown, in the specific implementation process, the specific steps of step S300 are: S301, setting a relevance threshold range according to the media's publicity and promotion goals; Specifically, based on the promotion goal, in this embodiment, the relevance threshold range is set to three ranges: high: 80-100 points, medium: 60-79 points, and low: 0-59 points; S302, judging the specific relevance threshold segments to which the information relevance of each to-be-delivered area belongs by setting the relevance threshold segments; Specifically, the information relevance of each area to be deployed is compared with the set threshold segment one by one, and the areas are classified into corresponding segments; for example, if the information relevance of the three areas to be deployed, A, B, and C, is calculated to be 90 points, 70 points, and 40 points respectively, then according to the set relevance threshold segment, area A can be classified into a high relevance segment (80-100 points), area B can be classified into a medium relevance segment (60-79 points), and area C can be classified into a low relevance segment (0-59 points); S303, dividing the areas to be delivered whose information relevance belongs to the same relevance threshold segment into the same type of areas, so as to obtain various types of areas to be delivered; Specifically, each area to be launched is classified into a corresponding set of similar areas according to the correlation segment to which it belongs. This process helps the media to more clearly understand the characteristics and needs of each area to be launched, so as to formulate a more accurate promotion strategy. For example, if area A (high correlation segment) is regarded as a set of similar areas, area B (medium correlation segment) is regarded as another set of similar areas, and area C (low correlation segment) is regarded as a separate set, in this way, three types of areas to be launched are obtained.
[0022] In the specific implementation process, the specific steps of step S400 are: S401. Set the core evaluation criteria for the core areas to be launched, including the geographical location’s proximity to the main street, population density, spending power, and cultural background relevance; Specifically, the distance of the geographical location from the main street: the main street is usually an area with a large flow of people and frequent commercial activities, so the area to be launched close to the main street has higher exposure and potential audiences; the level of population density: areas with high population density mean more potential audiences, so it is more likely to produce good publicity and promotion effects; the strength of consumption power: areas with strong consumption power usually mean higher purchasing power and better market potential, so they are key areas for publicity and promotion; the relevance of cultural background: areas with cultural backgrounds that match product characteristics or publicity and promotion themes are more likely to resonate with and attract attention from the audience; S402. Based on the core evaluation criteria and through data analysis methods, obtain the distance of the geographical location of each of the various areas to be deployed from the main street, the population density value, the consumption capacity value, and the correlation degree of the cultural background; Specifically, firstly, collect relevant data of the areas to be launched through public data query, including geographical location, population, consumption and cultural background data; and use data analysis tools, such as Excel or SPSS, to process and analyze the data to obtain specific values of each area to be launched on various evaluation criteria; S403, the distance of each area to be deployed from the main street, the population density value, the consumption capacity value and the correlation of the cultural background are integrated in a multiplication manner to obtain a comprehensive value, and the area to be deployed with the highest comprehensive value is taken as the core area to be deployed of the category to which it belongs.
[0023] In the specific implementation process, the specific steps of step S500 are: S501, according to the characteristics of various types of areas to be placed and core areas to be placed, based on content themes and audience groups, classify the current media information to be promoted into categories corresponding to the categories of the areas to be placed, and obtain various types of current media information to be promoted; Specifically, according to the classification of the areas to be placed, understand the population structure, consumption habits, and cultural background characteristics of each type of area to be placed; clarify the main content of the current media information to be promoted, including product characteristics, brand image, event discounts, etc.; then, divide the current media information to be promoted according to the corresponding relationship between the categories of the areas to be placed, and ensure that each category of the current media information to be promoted matches the corresponding audience group and regional characteristics, so as to improve the dissemination effect and conversion rate of the information; S502, among various types of current media information to be promoted, based on the promotion target, select the media information most relevant to the promotion target as the core promotion media information; Specifically, through existing data analysis methods, analyze the degree of correlation between various types of current media information to be promoted and the publicity objectives, including whether the content and form of the information match the publicity objectives. Based on the matching results of the analysis, screen out the media information with the highest matching degree with the publicity objectives, that is, the highest correlation degree, as the core publicity and promotion media information. Among them, the core publicity and promotion media information should be highly targeted, attractive and disseminated, and can directly support the realization of publicity objectives.
[0024] In the specific implementation process, the specific steps of step S600 are: S601, according to various types of areas to be placed and core areas to be placed, as well as various types of current promotional media information to be divided and determined core promotional media information, set specific placement time and placement frequency, wherein the core promotional media information corresponding to the core areas to be placed has the longest placement time and the highest placement frequency; Specifically, media information of various categories and core publicity and promotion information are distributed to various types of areas to be launched and core areas to be launched, and publicity and promotion are carried out through corresponding media delivery channels, including online media (such as social media, news websites, video platforms, etc.) and offline media (such as outdoor advertising, television broadcasts, newspapers and magazines, etc.). In addition, the delivery time and frequency are determined according to the time zone and work and rest time of the areas to be launched. It should be noted that the core publicity and promotion media information corresponding to the core areas to be launched has the longest delivery time and the highest delivery frequency.
[0025] For example, during peak hours in the morning and evening (such as 8 to 9 a.m. and 6 to 7 p.m.) and all day on weekends, high-frequency delivery can be carried out through various media forms such as TV advertising, social media, outdoor advertising, etc. to ensure that the information fully covers the target audience.
[0026] S602: according to the specific delivery time and delivery frequency, the classified various types of current to-be-promoted media information and the determined core to-be-promoted media information are delivered to the various to-be-delivered areas and their core to-be-delivered areas for publicity and promotion.
[0027] Embodiment 2 like Figure 3 As shown, a digital media publicity and promotion system applied to a digital media publicity and promotion method specifically includes: The information acquisition module is used to acquire the areas to be launched in the current media publicity plan, and respectively acquire the regional information of each area to be launched, wherein the regional information of the area to be launched specifically includes population and consumption habits; The association analysis module is used to obtain the information association degree of each area to be deployed through cluster analysis based on the regional information of each area to be deployed; A classification module is used to classify and divide each area to be deployed based on the information relevance of each area to be deployed and according to a preset relevance threshold segment to obtain various types of areas to be deployed; A core identification module is used to determine the core areas to be deployed in each type of areas to be deployed according to the preset core evaluation criteria; The information classification module is used to classify the current media information to be promoted according to various areas to be promoted and their core areas to be promoted, and determine the core promotion information among various types of media information to be promoted; The information delivery module is used to deliver various types of media information and its determined core publicity and promotion information to various types of areas to be delivered and its core areas to be delivered for publicity and promotion.
[0028] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.
[0029] Those skilled in the art can understand that all or part of the steps in the various methods of the above embodiments can be completed by instructing related hardware through a program, and the program can be stored in a computer-readable storage medium, and the storage medium includes a read-only memory (ROM), a random access memory (RAM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), a one-time programmable read-only memory (OTPROM), an electronically erasable rewritable read-only memory (EEPROM), a compact disc (CD-ROM) or other optical disc storage, magnetic disk storage, magnetic tape storage, or any other computer-readable medium that can be used to carry or store data.
[0030] It should also be noted that the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, commodity 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, commodity or device. In the absence of more restrictions, the elements defined by the sentence "comprises a ..." do not exclude the existence of other identical elements in the process, method, commodity or device including the elements.
Claims
1. A digital media promotion method, characterized in that: The promotion method comprises the following steps: Obtain the areas to be launched in the current media publicity plan, and respectively obtain the regional information of each area to be launched, wherein the regional information of the area to be launched specifically includes population and consumption habits; Based on the acquired regional information of each area to be deployed, the information correlation of each area to be deployed is obtained by cluster analysis; Based on the information relevance of each area to be deployed, each area to be deployed is classified and divided according to a preset relevance threshold segment to obtain various types of areas to be deployed; According to the preset core evaluation criteria, determine the core areas to be deployed in each type of areas to be deployed; According to the various areas to be launched and their core areas to be launched, the categories of the current media information to be promoted are divided, and the core promotion information is determined among the various types of media information to be promoted; The media information of each category and its determined core publicity and promotion information shall be placed in each category of areas to be placed and its core areas to be placed for publicity and promotion.
2. A digital media promotion method according to claim 1, characterized in that: The specific steps of obtaining the areas to be delivered of the current media publicity plan and respectively obtaining the regional information of each area to be delivered, wherein the regional information of the area to be delivered specifically includes population and consumption habits, are as follows: Determine the areas to be placed in the current media publicity plan through historical placement data, where the areas to be placed are specifically urban areas or communities in the city; For each area to be launched, collect regional information on its population and consumption habits. The population information includes the total population, age structure and gender ratio, while the consumption habits include consumption level, consumption preferences and shopping frequency.
3. A digital media promotion method according to claim 1, characterized in that: The specific steps of obtaining the information correlation of each area to be deployed through cluster analysis based on the acquired area information of each area to be deployed are as follows: Cleaning and sorting the acquired regional information of each area to be deployed, and obtaining the regional information of each area to be deployed after preprocessing; By means of cluster analysis, the population regional information and consumption habit regional information in the pre-processed regional information of each area to be deployed are quantified to obtain the quantitative analysis results of the population regional information and consumption habit regional information in each area to be deployed; Based on the quantitative analysis results of the population area information and the consumption habit area information in each area to be deployed, the quantitative analysis results of the population area information and the consumption habit area information are integrated into information correlation by multiplication to obtain the information correlation of each area to be deployed.
4. A digital media promotion method according to claim 1, characterized in that: Based on the information correlation of each area to be deployed, each area to be deployed is classified and divided according to a preset correlation threshold segment to obtain various types of areas to be deployed, and the specific steps are: Set relevance threshold segments based on the media's publicity and promotion goals; By setting the relevance threshold segment, determining the specific relevance threshold segment to which the information relevance of each area to be placed belongs; The areas to be placed whose information relevance belongs to the same relevance threshold segment are divided into similar areas, so as to obtain various types of areas to be placed.
5. A digital media promotion method according to claim 1, characterized in that: The specific steps of determining the core areas to be deployed in each type of areas to be deployed according to the preset core evaluation criteria are as follows: Set core evaluation criteria for core areas to be launched, including the geographical location's proximity to the main street, population density, spending power, and cultural relevance; Based on the core evaluation criteria and through data analysis methods, the distance of each of the various areas to be launched from the main street, population density, consumption capacity and cultural background of each area to be launched are obtained; The distance of each area to be deployed from the main street, population density, consumption capacity and cultural background are combined in a multiplication manner to obtain a comprehensive value, and the area to be deployed with the highest comprehensive value is taken as the core area to be deployed in its category.
6. A digital media promotion method according to claim 1, characterized in that: The specific steps of classifying the current media information to be promoted according to the various types of areas to be placed and the core areas to be placed, and determining the core promotion information in the various types of media information to be promoted, are as follows: According to the characteristics of various areas to be launched and core areas to be launched, based on content themes and audience groups, the current media information to be promoted is divided into categories corresponding to the categories of the areas to be launched, and various types of current media information to be promoted are obtained; Among all types of media information currently to be promoted, the media information most relevant to the promotional goal is selected as the core promotional media information based on the promotional goal.
7. A digital media promotion method according to claim 1, characterized in that: The specific steps of placing each category of media information and its determined core publicity and promotion information in each category of waiting areas and its core waiting areas for publicity and promotion are as follows: According to the various areas to be launched and the core areas to be launched, as well as the various types of current promotional media information to be divided and the determined core promotional media information, set the specific launch time and launch frequency. Among them, the core promotional media information corresponding to the core areas to be launched has the longest launch time and the highest launch frequency; According to the set specific delivery time and frequency, the various types of current media information to be promoted and the determined core media information to be promoted will be delivered to the various types of areas to be delivered and their core areas to be delivered for promotion.
8. A digital media publicity and promotion system, applied to a digital media publicity and promotion method as claimed in claims 1-7, characterized in that: The promotion system specifically includes: The information acquisition module is used to acquire the areas to be launched in the current media publicity plan, and respectively acquire the regional information of each area to be launched, wherein the regional information of the area to be launched specifically includes population and consumption habits; The association analysis module is used to obtain the information association degree of each area to be deployed through cluster analysis based on the regional information of each area to be deployed; A classification module is used to classify and divide each area to be deployed based on the information relevance of each area to be deployed and according to a preset relevance threshold segment to obtain various types of areas to be deployed; A core identification module is used to determine the core areas to be deployed in each type of areas to be deployed according to the preset core evaluation criteria; The information classification module is used to classify the current media information to be promoted according to various areas to be promoted and their core areas to be promoted, and determine the core promotion information among various types of media information to be promoted; The information delivery module is used to deliver various types of media information and its determined core publicity and promotion information to various types of areas to be delivered and its core areas to be delivered for publicity and promotion.
Citation Information
Patent Citations
Method for determining internet user area classification and delivering area directional information
CN101350018A
An advertisement release system and method capable of accurately quantifying and accurately counting release effects
CN109903068A
Multimedia digital intelligent treatment propaganda platform
CN116681201A
Network marketing system based on advertisement pushing
CN117788073A
Advertisement putting method and system based on user big data analysis
CN117808535A