A method and system for digital media promotion and marketing

Abstract

This invention provides a digital media promotion method and system, relating to the field of media promotion technology. By meticulously collecting population and consumption habit information of the target area and using correlation coefficients or cluster analysis to accurately classify the information correlation of the area, this invention achieves precise targeting of the audience. Simultaneously, by scientifically dividing the target area and identifying core target areas, resource allocation is optimized, enabling promotional resources to be more concentrated and effectively deployed in key areas. Furthermore, this method categorizes and deploys media information according to regional characteristics and sets flexible deployment strategies, improving promotional effectiveness and achieving precise marketing and continuous optimization. This provides strong support for enterprises to utilize digital media for promotion.

Description

Technical Field

[0001] This invention relates to the field of media promotion technology, and in particular to a method and system for digital media promotion. Background Technology

[0002] In today's digital media era, businesses face unprecedented challenges in advertising and promotion. Traditional advertising methods often employ a "wide net" strategy, aiming to reach as many audiences as possible to achieve higher exposure and brand awareness. However, this strategy often leads to wasted resources because not all audience members are the business's target customers.

[0003] In digital media advertising and promotion, accurately targeting the audience is crucial to improving advertising effectiveness. However, this goal faces numerous challenges in practice. First, the demographic and consumption habits of the target region are complex and constantly changing, making accurate collection and analysis difficult. Consumers in different regions, age groups, and professional backgrounds have different needs and preferences, making it difficult for companies to develop a unified advertising and promotion strategy. Second, even if relevant data is collected, effectively utilizing this data for precise targeting is a technical challenge. Traditional advertising and promotion methods often lack targeted data analysis, resulting in advertising resources not being accurately delivered to the target audience.

[0004] Besides accurately targeting the audience, the scientific division of the target area and the allocation of resources are also major challenges for businesses. Different regions have different market environments and consumer needs, requiring businesses to develop different advertising and promotion strategies based on these differences. However, in practice, businesses often lack scientific standards and methods for segmentation, leading to unreasonable resource allocation and poor advertising results.

[0005] Therefore, it is necessary to provide a digital media promotion and marketing method and system to solve the above-mentioned technical problems. Summary of the Invention

[0006] To address the aforementioned technical problems, this invention provides a digital media promotion method and system to solve the problems that traditional promotion methods often lack targeted data analysis, resulting in promotional resources not being accurately delivered to the target audience, and often lack scientific classification standards and methods, leading to unreasonable resource allocation and poor promotional effects.

[0007] This invention provides a digital media promotion method, the method comprising:

[0008] Obtain the regions to be targeted in the current media campaign plan, and obtain the regional information for each region, including population and consumption habits.

[0009] Based on the regional information of each target area, cluster analysis is used to obtain the information correlation of each target area.

[0010] Based on the information correlation of each target area, the target areas are classified and divided according to the preset correlation threshold range to obtain various target areas.

[0011] Based on the preset core evaluation criteria, the core areas to be deployed in each type of area to be deployed are determined.

[0012] Based on the various regions to be targeted and their core regions to be targeted, the media information to be promoted is categorized and the core promotional information is identified among the various media information to be promoted.

[0013] The media information of each category, along with its core promotional information, will be distributed to the corresponding target areas and their core target areas for promotion.

[0014] Preferably, the step of obtaining the target areas of the current media promotion plan and obtaining the regional information of each target area, wherein the regional information of the target area specifically includes population and consumption habits, is as follows:

[0015] By using historical data, we can determine the target areas for our current media campaign, which are specifically urban districts or communities within a city.

[0016] For each region to be targeted, collect regional information on its population and consumption habits. Population information includes total population, age structure, and gender ratio, while consumption habits include consumption level, consumption preferences, and shopping frequency.

[0017] Preferably, the step of obtaining the information correlation degree of each area to be targeted based on the acquired regional information of each area to be targeted through cluster analysis is as follows:

[0018] The acquired area information of each area to be deployed is cleaned and organized to obtain preprocessed area information of each area to be deployed.

[0019] By using cluster analysis, the population and consumption habit information in each pre-processed region to be targeted is quantified, and the quantitative analysis results of the population and consumption habit information in each region to be targeted are obtained.

[0020] Based on the quantitative analysis results of population and consumption habit information in each target region, the quantitative analysis results of population and consumption habit information are combined into information correlation degree by multiplication, thus obtaining the information correlation degree of each target region.

[0021] Preferably, the specific steps for classifying and dividing the areas to be deployed based on the information correlation of each area according to a preset correlation threshold range to obtain various types of areas to be deployed are as follows:

[0022] Based on the media's publicity and promotion goals, set relevance threshold ranges;

[0023] By setting relevance threshold ranges, the specific relevance threshold range to which the information relevance of each target area belongs is determined.

[0024] Areas to be targeted are grouped into the same category based on the degree of information relevance belonging to the same relevance threshold range, thereby obtaining various types of areas to be targeted.

[0025] Preferably, the specific steps for determining the core target areas in each type of target area based on preset core evaluation criteria are as follows:

[0026] Establish core evaluation criteria for the key areas to be targeted, including geographical proximity to the main street, population density, purchasing power, and cultural relevance.

[0027] Based on core evaluation criteria and through data analysis methods, the distance of each target area from the main street, population density, consumption capacity, and cultural background correlation were obtained for each target area in various categories.

[0028] The distance of each target area from the main street, population density, consumption capacity, and cultural background are multiplied to obtain a comprehensive value. The target area with the highest comprehensive value is then selected as the core target area for its category.

[0029] Preferably, the specific steps for classifying the current media information to be promoted into categories based on various target areas and their core target areas, and determining the core promotional information among these categories of current media information to be promoted, are as follows:

[0030] Based on the characteristics of various regions and core regions to be targeted, and based on the content theme and target audience, the media information to be promoted is divided into categories corresponding to the regions to be targeted, thus obtaining various types of media information to be promoted.

[0031] Among all the media information currently to be promoted, the media information most relevant to the promotional goals is selected as the core promotional media information.

[0032] Preferably, the specific steps for distributing various types of media information and their identified core promotional information to various target areas and their core target areas for promotion are as follows:

[0033] Based on the various regions to be targeted and the core regions to be targeted, as well as the various media information currently to be promoted and the core media information to be promoted, specific targeting times and frequencies are set. Among them, the core media information corresponding to the core regions to be targeted has the longest targeting time and the highest targeting frequency.

[0034] According to the set specific placement time and frequency, the various types of media information currently to be promoted and the identified core media information will be placed in the corresponding areas to be placed and their core areas for promotion.

[0035] A digital media promotion system, the system specifically comprising:

[0036] The information acquisition module is used to acquire the target areas of the current media promotion plan and to acquire the regional information of each target area. The regional information of the target area specifically includes population and consumption habits.

[0037] The correlation analysis module is used to obtain the correlation degree of information of each region to be targeted based on the regional information of each region to be targeted, through cluster analysis.

[0038] The classification module is used to classify and divide each target area according to a preset correlation threshold range based on the information correlation of each target area, thereby obtaining various target areas.

[0039] The core identification module is used to determine the core target areas for each type of target area based on preset core evaluation criteria.

[0040] The information segmentation module is used to classify the media information to be promoted based on various regions to be targeted and their core regions, and to identify the core promotional information among the various media information to be promoted.

[0041] The information delivery module is used to deliver various types of media information and their core promotional information to various target areas and their core target areas for promotion.

[0042] Compared with related technologies, the digital media promotion and marketing method and system provided by this invention has the following beneficial effects:

[0043] This invention achieves precise targeting of the audience by meticulously collecting population and consumption habit information of the target areas and accurately classifying the correlation of regional information using correlation coefficients or cluster analysis. Simultaneously, it scientifically divides the target areas and identifies core target areas, optimizing resource allocation and enabling more concentrated and effective placement of promotional resources in key regions. Furthermore, the method categorizes media information according to regional characteristics and sets flexible placement strategies, improving promotional effectiveness and achieving precise marketing and continuous optimization. This provides strong support for enterprises to utilize digital media for promotion and advertising. Attached Figure Description

[0044] Figure 1 A flowchart illustrating a digital media promotion and marketing method according to the present invention;

[0045] Figure 2 This is a flowchart of step S3 of a digital media promotion and marketing method according to the present invention;

[0046] Figure 3 This is a system block diagram of a digital media promotion and marketing system according to the present invention. Detailed Implementation

[0047] The present invention will be further described below with reference to the accompanying drawings and embodiments.

[0048] Example 1

[0049] like Figure 1 As shown, a digital media promotion method includes the following steps:

[0050] S100. Obtain the target areas for the current media promotion plan, and obtain the regional information for each target area, including population and consumption habits.

[0051] S200. Based on the regional information of each region to be targeted, cluster analysis is used to obtain the information correlation of each region to be targeted.

[0052] S300: Based on the information correlation of each target area, classify and divide each target area according to the preset correlation threshold range to obtain various target areas.

[0053] S400. Based on the preset core evaluation criteria, determine the core areas to be deployed in each type of area to be deployed.

[0054] S500: Based on various regions to be targeted and their core regions to be targeted, classify the current media information to be promoted into categories, and determine the core promotional information among the various current media information to be promoted.

[0055] S600: Distribute various types of media information and their identified core promotional information to various target areas and their core target areas for promotion.

[0056] In the specific implementation process, the specific steps of step S100 are as follows:

[0057] S101. Based on historical data, determine the target areas for the current media campaign, where the target areas are specifically urban areas or communities within a city.

[0058] Specifically, the first step is to collect historical campaign data, including the amount of advertising in each region over a period of time, advertising effectiveness (such as click-through rate, conversion rate, etc.), audience feedback, etc., and then combine this with the goals and budget of the current media campaign plan to determine the regions to be targeted.

[0059] S102. For each region to be targeted, collect regional information on its population and consumption habits. Population information includes total population, age structure and gender ratio, while consumption habits include consumption level, consumption preferences and shopping frequency.

[0060] In the specific implementation process, the specific steps of step S200 are as follows:

[0061] S201. Clean and organize the area information of each area to be delivered to obtain the pre-processed area information of each area to be delivered.

[0062] Specifically, the process involves removing duplicate data and handling missing values ​​from the regional information of each target area, using interpolation or mean filling methods, and correcting erroneous data such as obvious input errors and logical errors. The cleaned regional information is then organized into a unified format, such as converting it into a format suitable for analysis (CSV, Excel, etc.). Finally, the regional information is standardized or normalized for storage.

[0063] S202. By using cluster analysis, the population and consumption habit information in the preprocessed regional information of each region to be targeted is quantified to obtain the quantitative analysis results of the population and consumption habit information in each region to be targeted.

[0064] 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 targeted into the clustering algorithm in order to identify regional groups with similar population and consumption habits, and obtain quantitative analysis results of population and consumption habit regional information of each area to be targeted.

[0065] For example, the K-means clustering method was chosen to perform cluster analysis on two regions, A and B. Based on specific indicators of population and consumption habits, the two urban areas can be divided into two categories: one is a high-consumption, high-population-density urban area (such as urban area A), and the other is a low-consumption, low-population-density urban area (such as urban area B). Then, based on the results of the cluster analysis, a score or ranking is assigned to each of the two urban areas in terms of population and consumption habits.

[0066] S203. Based on the quantitative analysis results of population area information and consumption habit area information in each area to be deployed, the quantitative analysis results of population area information and consumption habit area information are combined into information correlation degree by multiplication to obtain the information correlation degree of each area to be deployed.

[0067] Specifically, the quantitative analysis results of population and consumption habits are combined by multiplication, because multiplication can simultaneously consider the magnitude and relative importance of the two factors, thus obtaining a more comprehensive and accurate information correlation index.

[0068] For example, if two districts, A and B, are assigned scores for population and consumption habits respectively (specifically, district A has a population score of 80 and a consumption habit score of 90; district B has a population score of 60 and a consumption habit score of 50), then the information relevance between the two districts is calculated using a product method: the information relevance of district A is 80 × 90 = 7200 points; the information relevance of district B is 60 × 50 = 3000 points. Obviously, district A has a higher information relevance, indicating that it has a greater advantage and attractiveness in terms of population and consumption habits.

[0069] like Figure 2 As shown, in the specific implementation process, the specific steps of step S300 are as follows:

[0070] S301. Based on the media's publicity and promotion goals, set the relevance threshold range;

[0071] Specifically, based on the publicity and promotion goals, 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.

[0072] S302. By setting the relevance threshold range, determine the specific relevance threshold range to which the information relevance of each area to be delivered belongs.

[0073] Specifically, the information relevance of each target area is compared with the set threshold range, and the area is assigned to the corresponding range. For example, if the information relevance of three target areas A, B, and C is calculated to be 90, 70, and 40 points respectively, then according to the set relevance threshold range, area A can be assigned to the high relevance range (80-100 points), area B to the medium relevance range (60-79 points), and area C to the low relevance range (0-59 points).

[0074] S303. Divide the areas to be delivered into the same type of area according to the information relevance threshold range, thereby obtaining various types of areas to be delivered.

[0075] Specifically, based on the relevance of each region to be targeted, it is categorized into a corresponding set of similar regions. This process helps the media to better understand the characteristics and needs of each region, thereby enabling them to develop more precise promotional strategies. For example, region A (high relevance) can be grouped into one set of similar regions, region B (medium relevance) into another set, and region C (low relevance) into a separate set. This results in three categories of regions to be targeted.

[0076] In the specific implementation process, the specific steps of step S400 are as follows:

[0077] S401. Set core evaluation criteria for the core areas to be targeted, including geographical proximity to the main street, population density, purchasing power, and cultural relevance.

[0078] Specifically, geographical proximity to main streets is important: main streets are typically areas with high pedestrian traffic and frequent commercial activities, thus areas near main streets have higher exposure and a larger potential audience; population density is also crucial: areas with high population density mean a larger potential audience, making them more likely to generate effective advertising and promotion; purchasing power is also important: areas with strong purchasing power usually mean higher purchasing power and better market potential, making them key areas for advertising and promotion; and cultural relevance is also important: areas where the cultural background aligns with the product characteristics or advertising theme are more likely to resonate with and attract the attention of the audience.

[0079] S402. Based on the core evaluation criteria and through data analysis methods, obtain the geographical distance of each target area from the main street, population density, consumption capacity, and cultural background of each target area in various target areas.

[0080] Specifically, the first step is to collect relevant data on the regions to be targeted through publicly available data queries, including data on geographical location, population, consumption, and cultural background. Then, data analysis tools, such as Excel or SPSS, are used to process and analyze the data to obtain specific values ​​for each region on various evaluation criteria.

[0081] S403. The distance of each target area from the main street, population density, consumption capacity, and cultural background are multiplied to obtain a comprehensive value. The target area with the highest comprehensive value is selected as the core target area of ​​its category.

[0082] In the specific implementation process, the specific steps of step S500 are as follows:

[0083] S501. Based on the characteristics of various target areas and core target areas, and based on the content theme and target audience, the media information to be promoted is divided into categories corresponding to the target area categories, thus obtaining various types of media information to be promoted.

[0084] Specifically, based on the classification of the target areas, we need to understand the population structure, consumption habits, and cultural background characteristics of each type of target area; clarify the main content of the media information to be promoted, including product features, brand image, and promotional offers; then, we need to classify the media information to be promoted according to the corresponding relationship of the target area categories to ensure that the media information to be promoted in each category matches the corresponding audience and regional characteristics, so as to improve the dissemination effect and conversion rate of the information;

[0085] S502. Among all types of media information currently to be promoted, select the media information most relevant to the promotion objectives as the core media information for promotion based on the promotion objectives.

[0086] Specifically, using existing data analysis methods, we analyze the degree of correlation between various media information currently to be promoted and the promotional goals, including whether the content and form of the information match the promotional goals. Based on the matching results of the analysis, we select the media information with the highest degree of matching with the promotional goals, i.e., the degree of correlation, as the core promotional media information. Among them, the core promotional media information should have a high degree of targeting, attractiveness and dissemination effect, and be able to directly support the achievement of the promotional goals.

[0087] In the specific implementation process, the specific steps of step S600 are as follows:

[0088] S601. Based on various regions to be deployed and core regions to be deployed, as well as the various types of media information to be promoted and the core media information to be promoted, set specific deployment times and frequencies. Among them, the core media information corresponding to the core regions to be deployed has the longest deployment time and the highest deployment frequency.

[0089] Specifically, various media information and core promotional information are distributed to various target areas and core target areas, and promoted through corresponding media channels, including online media (such as social media, news websites, video platforms, etc.) and offline media (such as outdoor advertising, television and radio, newspapers and magazines, etc.). Furthermore, the placement time and frequency are determined according to the time zone and working hours of the target areas. It should be noted that the core promotional media information in the core target areas has the longest placement time and the highest placement frequency.

[0090] For example, during peak hours (such as 8:00 to 9:00 AM and 6:00 to 7:00 PM) and throughout the day on weekends, high-frequency advertising can be conducted through various media formats such as television commercials, social media, and outdoor advertising to ensure that the information fully reaches the target audience.

[0091] S602. According to the set specific placement time and placement frequency, the various types of media information to be promoted and the identified core media information are placed in the various placement areas and their core placement areas for promotion.

[0092] Example 2

[0093] like Figure 3 As shown, a digital media promotion system applied to a digital media promotion method specifically includes:

[0094] The information acquisition module is used to acquire the target areas of the current media promotion plan and to acquire the regional information of each target area. The regional information of the target area specifically includes population and consumption habits.

[0095] The correlation analysis module is used to obtain the correlation degree of information of each region to be targeted based on the regional information of each region to be targeted, through cluster analysis.

[0096] The classification module is used to classify and divide each target area according to a preset correlation threshold range based on the information correlation of each target area, thereby obtaining various target areas.

[0097] The core identification module is used to determine the core target areas for each type of target area based on preset core evaluation criteria.

[0098] The information segmentation module is used to classify the media information to be promoted based on various regions to be targeted and their core regions, and to identify the core promotional information among the various media information to be promoted.

[0099] The information delivery module is used to deliver various types of media information and their core promotional information to various target areas and their core target areas for promotion.

[0100] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0101] Those skilled in the art will understand that all or part of the steps in the various methods of the above embodiments can be implemented by a program instructing related hardware. The program can be stored in a computer-readable storage medium, including read-only memory (ROM), random access memory (RAM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), one-time programmable read-only memory (OTPROM), electrically-Erasable Programmable Read-Only Memory (EEPROM), compact disc read-only memory (CD-ROM) or other optical disc storage, disk storage, magnetic tape storage, or any other computer-readable medium capable of carrying or storing data.

[0102] It should also be noted that the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes that element.

Claims

1. A method for digital media promotion and advertising, characterized in that, The promotion method includes the following steps: Obtain the regions to be targeted in the current media campaign plan, and obtain the regional information for each region, including population and consumption habits. Based on the regional information of each target area, cluster analysis is used to obtain the information correlation of each target area. Based on the information correlation of each target area, the target areas are classified and divided according to the preset correlation threshold range to obtain various target areas. Based on the preset core evaluation criteria, the core areas to be deployed in each type of area to be deployed are determined. Based on the various regions to be targeted and their core regions to be targeted, the media information to be promoted is categorized and the core promotional information is identified among the various media information to be promoted. The media information of each category, along with its core promotional information, will be distributed to the corresponding target areas and their core target areas for promotion. Based on the acquired regional information of each target area, cluster analysis is used to obtain the information correlation degree of each target area. The specific steps are as follows: The acquired area information of each area to be deployed is cleaned and organized to obtain preprocessed area information of each area to be deployed. By using cluster analysis, the population and consumption habit information in each pre-processed region to be targeted is quantified, and the quantitative analysis results of the population and consumption habit information in each region to be targeted are obtained. Based on the quantitative analysis results of population and consumption habit information in each target region, the quantitative analysis results of population and consumption habit information are combined into an information correlation degree by multiplication. The information correlation degree of each target region is obtained, where the information correlation degree represents the combination of the quantitative analysis results of population and consumption habit information.

2. The digital media promotion and marketing method according to claim 1, characterized in that, The steps for obtaining the target areas of the current media promotion plan and obtaining the regional information of each target area, including population and consumption habits, are as follows: By using historical data, we can determine the target areas for our current media campaign, which are specifically urban districts or communities within a city. For each region to be targeted, collect regional information on its population and consumption habits. Population information includes total population, age structure, and gender ratio, while consumption habits include consumption level, consumption preferences, and shopping frequency.

3. The digital media promotion and marketing method according to claim 1, characterized in that, The specific steps for classifying and dividing the regions to be deployed based on their information correlation degree according to a preset correlation degree threshold range to obtain various types of regions to be deployed are as follows: Based on the media's publicity and promotion goals, set relevance threshold ranges; By setting relevance threshold ranges, the specific relevance threshold range to which the information relevance of each target area belongs is determined. Areas to be targeted are grouped into the same category based on the degree of information relevance belonging to the same relevance threshold range, thereby obtaining various types of areas to be targeted.

4. The digital media promotion and marketing method according to claim 1, characterized in that, The specific steps for determining the core deployment areas in each type of deployment area based on preset core evaluation criteria are as follows: Establish core evaluation criteria for the key areas to be targeted, including geographical proximity to the main street, population density, purchasing power, and cultural relevance. Based on core evaluation criteria and through data analysis methods, the distance of each target area from the main street, population density, consumption capacity, and cultural background correlation were obtained for each target area in various categories. The distance of each target area from the main street, population density, consumption capacity, and cultural background are multiplied to obtain a comprehensive value. The target area with the highest comprehensive value is then selected as the core target area for its category.

5. The digital media promotion and marketing method according to claim 1, characterized in that, The specific steps for classifying the media information to be promoted based on various target areas and their core target areas, and then identifying the core promotional information from among these target media information, are as follows: Based on the characteristics of various regions and core regions to be targeted, and based on the content theme and target audience, the media information to be promoted is divided into categories corresponding to the regions to be targeted, thus obtaining various types of media information to be promoted. Among all the media information currently to be promoted, the media information most relevant to the promotional goals is selected as the core promotional media information.

6. The digital media promotion method according to claim 1, characterized in that, The specific steps for distributing various media information and its core promotional information to various target areas and their core target areas for promotion are as follows: Based on the various regions to be targeted and the core regions to be targeted, as well as the various media information currently to be promoted and the core media information to be promoted, specific targeting times and frequencies are set. Among them, the core media information corresponding to the core regions to be targeted has the longest targeting time and the highest targeting frequency. According to the set specific placement time and frequency, the various types of media information currently to be promoted and the identified core media information will be placed in the corresponding areas to be placed and their core areas for promotion.

7. A digital media promotion and marketing system, applied to the digital media promotion and marketing method as described in any one of claims 1-6, characterized in that, The promotion system specifically includes: The information acquisition module is used to acquire the target areas of the current media promotion plan and to acquire the regional information of each target area. The regional information of the target area specifically includes population and consumption habits. The correlation analysis module is used to obtain the correlation degree of information of each region to be targeted based on the regional information of each region to be targeted, through cluster analysis. The classification module is used to classify and divide each target area according to a preset correlation threshold range based on the information correlation of each target area, thereby obtaining various target areas. The core identification module is used to determine the core target areas for each type of target area based on preset core evaluation criteria. The information segmentation module is used to classify the media information to be promoted based on various regions to be targeted and their core regions, and to identify the core promotional information among the various media information to be promoted. The information delivery module is used to deliver various types of media information and their core promotional information to various target areas and their core target areas for promotion. Based on the acquired regional information of each target area, cluster analysis is used to obtain the information correlation degree of each target area. The specific steps are as follows: The acquired area information of each area to be deployed is cleaned and organized to obtain preprocessed area information of each area to be deployed. By using cluster analysis, the population and consumption habit information in each pre-processed region to be targeted is quantified, and the quantitative analysis results of the population and consumption habit information in each region to be targeted are obtained. Based on the quantitative analysis results of population and consumption habit information in each target region, the quantitative analysis results of population and consumption habit information are combined into an information correlation degree by multiplication. The information correlation degree of each target region is obtained, where the information correlation degree represents the combination of the quantitative analysis results of population and consumption habit information.

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