> ## Documentation Index > Fetch the complete documentation index at: https://cometchat-013b37f0.mintlify.site/llms.txt > Use this file to discover all available pages before exploring further. # Data Insights CometChat’s Data Insights feature provides a comprehensive analytics dashboard to help businesses understand user behavior, messaging trends, and voice/video calling statistics. These insights enable customers to: * Gain detailed statistics about user interactions with CometChat services. * Measure user engagement using various parameters. * Identify churn patterns and take corrective actions. * Define and analyze conversational funnels using AI-powered insights. * Classify and measure user personalities based on conversation styles. * Optimize chat experiences and enhance user engagement through data-driven decision-making. ## User and Group Insights User and Group Insights provide various visualizations and metrics related to users and groups. ### User Engagement Metrics * Overview and trends: Displays user activity trends over time. * Top 10 users: Identifies the most active users based on chat activity. * Top 10 groups: Lists the most engaged chat groups. * Average group size: Useful for social and community apps to determine group engagement levels. * Concurrent users heatmap: Shows online activity per hour on a given day to determine user activity trends. * OS usage: Indicates number of users per platform (iOS, Android, Web). ### Growth and Engagement Metrics * New users created (daily/monthly): Tracks growth trends in user registrations. * Time to first message: Measures user engagement speed post-signup. * Users who reacted the most: Shows most active and influenced users from a Reaction perspective. * Users who received the most Reactions: Shows most influential users. * Online frequency distribution: Shows how often users come online in a day, indicating their engagement level. * New friends Count: Tracks relationship-building activities in social or dating apps. * Active group count: Measures group engagement over time. * Online users per day: Shows daily active user trends. ### Churn and Retention Analysis * User retention analysis: Tracks number of users who have some activity in the last 30 days to assess churn trends. * Cohort analysis of user abandonment: Identifies when users drop off and helps address engagement gaps and abandonment analysi. * User abandon analysis funnel: Categorizes user churn based on activity type (e.g., never sent a message, sent messages but never made a call, etc.) for abandonment analysis. * Group churn per day: Tracks the number of groups which don't have any messages in the last 30 days to assess group churn trends. ## Messaging Insights User and Group Insights provide various visualizations and metrics from a messaging perspective. ### Overview and Trends * Messaging activity: Tracks overall message sent, delivered and read numbers per day. * Messages sent heatmap: Displays data to indicate hours when users perfer to send messages. * Messages delivered heatmap: Displays data to indicate hours when users typically receive messages. * Messages sent heatmap: Displays data to indicate hours when users perfer to read messages. * Messages by conversation type: Breaks down messages into one-on-one and group conversations. * Average messages across conversations: Measures engagement levels in terms of the number of messages sent in conversations. * Message types sent : Identifies trends in text, images, video, and other media types. * Thread messages: Shows the number of conversations that generated threaded discussions. * Average word and character Count: Measures the verbosity of messages. ### Growth and Engagement Metrics * New conversations per day: Indicates overall chat engagement growth. * Active conversation distribution: Shows a distribution of the number of ongoing conversations accross users. * Message engagement frequency: Tracks how often in terms of days do users send messages over time. * User messaging behavior: Differentiates between active and passive users from their messaging behaviour. * Number of messages before first image: Measures the transition from text to media engagement. * Engagement progression by message type: Measures the transition from text to an alternative message type (excluding images). * Average first response time: Measures response speed in a new conversations. * Average response time per day: Measures response speed in a conversations per day. * Chat to calls conversions: Measures the number of conversations which resulted in a call signifying an increase in engagement. * Messages vs voice vs video: Measures the proportion of messages, voice calls, and video calls to measure the engagement patterns. * Month over month active conversations: Compares the number of active conversations in a month compared to the previous one. * Pre-call messaging: Measures the number of messages exchanged before a call. * Number of mentions: Measures the number of mentions across conversations. * Reactions count: Measures the number of reactions across conversations. ### Retention and Churn Metrics * Number of conversation churns: Measures the number of conversations without any new messages the last 30 days indicating an eminent churn. * Messages before conversation churn: Measures the number of messages exchanged before conversation churns. * Conversation churn time distribution: Measures the number of days after which conversations churn. * Declining conversation count: Measures the number of conversations with a consistently declining message volume. ## Voice and Video Calling Insights * Call duration: Measures the total call duration across all calls for a given day. * Call participation: Measures the average number of users in a call across all calls on a given day. * Concurrent calls heatmap: Displays data to indicate hours when users perfer to make calls. * Call duration distribution: Measures the call duration pattern across calls. * Calls per day: Measures the total calls per day for a given day. * Calling engagement frequency: Tracks how often in terms of days do users make calls.