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Why It Matters

  • 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.

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Users & Groups

High‑level engagement & population health.
  • 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).
  • 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.
  • 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.

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Messaging Insights

Conversation flow quality & content dynamics.
  • 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.
  • 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.

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Voice & Video Calling Insights

Real‑time engagement patterns.
  • 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.