# User Segment Report After creating a user segment, you can access a detailed report from the TOP page of the user features. This report is an essential tool for analyzing segmented user groups. Clicking on the area highlighted by the red frame in the screen above will take you to the user group report screen. The report is primarily composed of the following three sections. *** ## Main Components of the Report ## 1. Overview 📊 **Basic Data** Total number of users in the group ``` Percentage of total users (%) Number of active users in the past 7 days Access status of top 20 users ``` **Additional Information When Using User Identification Features**: Example: Detailed user information such as email addresses > **WARNING** **Tip**: By leveraging user identification features, you can achieve a deeper understanding of users. ### 2. Segment Report 📈 **Analyzable Data**: User behavior data ``` Attribute data Trends in user count ``` > **SUCCESS** **Key Usage Points**: > > Using this data, you can identify segment-specific trends and behavior patterns, and apply them to optimize your marketing strategy. ### 3. User List 📋 **Features**: Display complete user list within the group ``` Confirm attribute data Export CSV data ``` **Additional Features When User Identification is Configured**: Integration with your own proprietary data is possible 🚀 **Use Cases**: Create target lists for marketing campaigns Improve individual customer support responses ## Best Practices for Report Usage **Regular Review**: Check reports weekly or monthly to understand trends and changes **Cross-Segment Analysis**: Conduct comparative analysis across multiple segments to gain insights **Action Plan Development**: Develop specific improvement measures based on insights gained from the report **A/B Testing**: Test different approaches for each segment and measure results **Cross-Team Sharing**: Share insights across relevant departments such as marketing, product development, and customer support *** ## Data Utilization Strategy: User Segment Optimization To create effective user segments, proper data collection and utilization are essential. Below, we explain the details of the necessary data, how to collect it, and how to use it. ## 1. Required Data and Collection Methods ### 1.1 Basic Data (Collected via Basic Tags) **User Behavior Data**: Web page view history ``` Navigation patterns within the site Click behavior ``` **Visit Attribute Data**: Traffic source ``` Visit frequency Time spent on site ``` **Device Information**: Device type (PC, smartphone, tablet, etc.) ``` Browser type and version ``` **Time-Related Data**: Last active date and time (last active) > **SUCCESS** **Key Point**: By implementing basic tags, these data can be collected automatically. ### 1.2 Custom User Attribute Data (Collected via User Identification Tags) **Demographic Data**: Age ``` Gender Residence region ``` **Behavior History Data**: Purchase history ``` Purchase amount Product category preferences ``` **Member Information**: Member ID ``` Member tier Points ``` **Other Custom Data**: Survey responses ``` Customer satisfaction score ``` 🔧 **Implementation Method**: Set up user identification tags and integrate your custom data with Experience. ## 2. How to Use Data ### 2.1 Creating Segments **Basic Segments**: New visitors vs returning users ``` Users by device (PC, mobile, tablet) Users by region ``` **Behavior-Based Segments**: Frequent visitors ``` Long-duration users Users viewing specific pages ``` **Purchase Behavior-Based Segments**: High-value purchasers ``` Repeat purchasers Cart abandoners ``` **Attribute-Based Segments**: Age group segments ``` Gender groups Member tier segments ``` ### 2.2 Using Segments **Personalized Content Delivery**: Deliver content and product recommendations tailored to each segment's characteristics **Targeted Advertising**: Deploy advertising campaigns optimized for each segment **Customer Experience Optimization**: Adjust site UI/UX based on user behavior and attributes **Retention Marketing**: Implement retention strategies customized for each segment **Product Development Reflection**: Leverage each segment's needs and behavior patterns for product improvements ## 3. Practical Points **Regular Updates**: Regularly review segments to reflect the latest trends and behavior changes **A/B Testing**: Test different approaches for different segments and measure results **Cross-Segment Analysis**: Combine multiple segments to gain deeper insights **Privacy Considerations**: Respect user privacy in data collection and usage, and obtain appropriate consent By practicing these strategies, you can achieve a more precise understanding of users and implement effective marketing measures. By leveraging Experience's features to the fullest and making data-driven decisions, you can accelerate business growth. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. 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