Analyzing Data & Segmenting Users for Retention

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Telegram Channel Activity Data:

Last Seen Post: While not user-specific, tracking the last posted message a user potentially saw (if your bot can infer this) helps gauge their general activity.
Reactions (Emojis): Monitor which types of content (and specific posts) elicit strong positive or negative reactions from which users.
Forwards/Shares: Identify highly valuable, shareable content and the users who amplify your message.
Poll Responses: Indicates engagement with specific topics and willingness to provide feedback.
View Counts (per post): While not user-specific, consistent low views on certain content types might indicate disinterest for the broader channel.
Telegram Group Activity Data (Using Analytics Bots like Combot):

Message Frequency: Track individual user singapore telegram mobile phone number list message counts over time. A sudden drop signals disengagement.
Last Message Timestamp: Identify users who haven't posted in the group for a long time.
Topic Participation: Which discussions does a user engage in, and which do they avoid?
Sentiment Analysis (Qualitative): Monitor if a user's tone becomes consistently negative or if they express frustration.
New Member/Leaving Member Logs: Track group growth and churn for overall health, and identify if specific users are leaving.
Raw data is useless without analysis. Convert activity data into actionable insights and audience segments.

Identify Disengagement Signals:

Decreased Interaction: Sudden drop in bot clicks, channel views, or group messages from a previously active user.
Inactivity Thresholds: Define "dormant" (e.g., no activity in 7 days, 15 days, 30 days). Set different thresholds for different levels of intervention.
Bot Flow Abandonment: Users repeatedly dropping off at a specific point in a critical bot flow (e.g., signup, purchase).
Unsubscribe/Mute Signals: Direct signals of disengagement (e.g., user clicked "unsubscribe" button, or muted your channel).
Negative Sentiment (Group): Consistent negative or frustrated messages.