Flow Completion: Monitor which bot flows a user completes (e.g., completed "Lead Qualification Funnel," "Product Demo Request").
Content Consumption (via bot links): Track which articles, videos, or lead magnets are clicked on from messages sent by your bot.
Tools: Advanced bot platforms (e.g., ManyChat, Chatfuel, BotHelp) with built-in tagging and segmentation features, or custom-coded bots with database integration.
Analyze Channel Engagement Data (Broader Interests):
Data Points:
Post Views & Reactions: Which content topics, formats (video, text, image), and themes consistently get the highest views and positive reactions in your channel.
Forwards/Shares: Which posts are most uk telegram mobile phone number list frequently shared, indicating highly valuable content.
Link Clicks (UTMs): Use UTM parameters on all external links shared in your channel to track specific clicks in your website analytics.
Tools: Telegram's native channel statistics, third-party analytics (e.g., TGStat, Telemetr).
Actionable Insight: If posts about "AI tools" consistently outperform "social media tips," you have a segment interested in AI.
Monitor Group Discussion Data (Specific Needs & Pain Points):
Purpose: Uncover specific questions, challenges, and shared interests within your community.
Data Points:
Keyword Frequency: What terms are discussed most often? (e.g., "API integration," "customer support," "SEO strategies").
Sentiment Analysis: What's the general mood around specific topics or products? (Requires advanced tools like Combot).
Frequently Asked Questions (FAQs): Identify recurring problems or needs.
Top Contributors: Who are the thought leaders or most active members in specific discussions?
Tools: Combot, TeleMe, or manual review for smaller groups.
Actionable Insight: If multiple members discuss "difficulty scaling campaigns," you have a segment facing that specific problem.
Phase 2: Defining Meaningful Member Segments
Once you have the data, structure it into actionable segments.