Douyin consumption characteristics should analyze user preferences, regional differences, age and gender distribution, time period consumption analysis, user interaction behavior, and advertising effect evaluation.

1. User preferences: By analyzing users’ browsing and interaction behaviors on Douyin, we can understand their preferences for different types of content.

2. Regional differences: Users in different regions may have different consumption characteristics.

3. Age and gender distribution: By analyzing user account information, the age and gender distribution of users can be understood.

1. Analysis of Douyin consumption characteristics: Analysis of Douyin consumption characteristics can cover the following aspects: 1. User preferences: By analyzing users’ browsing and interaction behaviors on Douyin, we can understand their preferences for different types of content.

This includes topics, styles and types of content users commonly watch, like, comment on or share.

For example, some users may be more inclined to watch music-related content, while others may like funny or food-related videos.

2. Regional differences: Users in different regions may have different consumption characteristics.

By analyzing user geographical location data, we can understand the differences in interests, preferences, consumption habits, and popular culture of users in various regions.

This can help brands or advertisers with positioning and marketing strategies based on geography.

3. Age and gender distribution: By analyzing user account information, the age and gender distribution of users can be understood.

This is important for customizing and launching products, services or advertising for specific age or gender groups.

4. Period consumption analysis: Analyzing users’ active time on Douyin can reveal the peak and trough periods when users use Douyin.

This is very helpful for decisions such as optimizing ad timing and campaign push.

5. User interactive behavior: By analyzing user interactive behaviors, such as comments, likes, and sharing, you can understand the degree of interaction between users and content.

This helps measure user preference and engagement with specific content, as well as assess content quality.

6. Advertising effect evaluation: Analyze the display, clicks and conversion data of advertisements on the Douyin platform to evaluate the effectiveness and rate of return of advertisements and optimize advertising strategies.

2. Analysis of the consumption power of Douyin users: The analysis of the consumption power of Douyin users can be carried out in the following ways: 1. User portrait analysis: through the user's account information and behavioral data, including geographical location, age, gender, etc.

Understand the basic characteristics of users.

These basic characteristics can be used as a reference for preliminary judgment of consumption capacity.

2. Analysis of user viewing habits: Analyzing the type and frequency of content users watch on Douyin can provide a preliminary understanding of users’ interest in different categories or products.

For example, if users often watch videos related to luxury goods, travel, or food, it may mean that they have higher spending power.

3. Brand cooperation and advertising analysis: By observing which brands choose to advertise on Douyin and the positioning of the ads, we can indirectly understand the consumption power of Douyin users.

Typically, high-end brands or brands targeting high-end consumers are more likely to advertise on Douyin.

4. Social interaction behavior analysis: By observing users’ social interaction behaviors on Douyin, such as comments, likes, sharing, etc., we can infer their preference for products or brands.

If users actively interact with high-value items or unique experiences, it may mean they have certain spending power.

5. User conversion behavior analysis: By analyzing users’ purchasing behavior or participation in paid activities, we can more directly understand the user’s spending power.

For example, if users frequently shop, tip, or join paid memberships on Douyin, it may mean that they have certain spending power.

It should be noted that the above analysis method is for reference only and cannot completely accurately judge the user's spending power.

Because user portraits and behavioral data can only provide some hints and clues, the real spending power is also affected by other factors, such as regional differences, family background, income level, etc.

Therefore, when conducting consumption power analysis, multiple aspects of information should be comprehensively considered and combined with market research and surveys to draw more accurate conclusions.