Audience Segmentation based on Behavior
Posted: Wed May 21, 2025 4:17 am
Message Activity: Identify most active users, peak discussion times, and overall message volume.
Keyword Frequency: Track which topics are most frequently discussed by group members.
Question Analysis: Analyze recurring questions, pain points, or areas of confusion expressed by the community.
Sentiment Analysis: Gain qualitative insights into overall mood and opinions on specific topics.
Phase 2: From Raw Data to Actionable Insights – Analysis & Segmentation
Collecting data is just the beginning. The magic happens when you analyze it to extract meaningful insights and segment your audience.
Interest-Based Segments: Group users who consistently brazil telegram users mobile phone number list interact with content related to "SEO," "Fintech," "E-commerce," "Webinars," "Free Trials," etc. (e.g., segment:SEO_Enthusiasts, segment:Free_Trial_Seekers).
Engagement-Level Segments: Classify users as "Highly Engaged" (frequent interactions, high CTR), "Moderately Engaged," or "Dormant" (no activity for X days).
Funnel-Stage Segments: Identify users in "Awareness" (just Browse), "Consideration" (viewing pricing/features), "Decision" (abandoned cart, demo request), or "Post-Purchase" (existing customers).
Problem-Specific Segments: Group users who have asked about specific technical issues or repeatedly engaged with content addressing a particular challenge.
Tools: Advanced Telegram bot platforms (ManyChat, BotHelp), often integrated with your CRM for holistic segmentation.
Content Performance Mapping:
Identify Top Performers: Which content pieces (channel posts, bot messages, external articles linked) consistently achieve high views, CTRs, and positive reactions/forwards?
Identify Underperformers: Which content pieces have low engagement? Is it the topic, format, or timing?
Content Gap Analysis: What questions are users asking in groups or bots that you don't yet have dedicated content for?
User Journey Mapping:
Keyword Frequency: Track which topics are most frequently discussed by group members.
Question Analysis: Analyze recurring questions, pain points, or areas of confusion expressed by the community.
Sentiment Analysis: Gain qualitative insights into overall mood and opinions on specific topics.
Phase 2: From Raw Data to Actionable Insights – Analysis & Segmentation
Collecting data is just the beginning. The magic happens when you analyze it to extract meaningful insights and segment your audience.
Interest-Based Segments: Group users who consistently brazil telegram users mobile phone number list interact with content related to "SEO," "Fintech," "E-commerce," "Webinars," "Free Trials," etc. (e.g., segment:SEO_Enthusiasts, segment:Free_Trial_Seekers).
Engagement-Level Segments: Classify users as "Highly Engaged" (frequent interactions, high CTR), "Moderately Engaged," or "Dormant" (no activity for X days).
Funnel-Stage Segments: Identify users in "Awareness" (just Browse), "Consideration" (viewing pricing/features), "Decision" (abandoned cart, demo request), or "Post-Purchase" (existing customers).
Problem-Specific Segments: Group users who have asked about specific technical issues or repeatedly engaged with content addressing a particular challenge.
Tools: Advanced Telegram bot platforms (ManyChat, BotHelp), often integrated with your CRM for holistic segmentation.
Content Performance Mapping:
Identify Top Performers: Which content pieces (channel posts, bot messages, external articles linked) consistently achieve high views, CTRs, and positive reactions/forwards?
Identify Underperformers: Which content pieces have low engagement? Is it the topic, format, or timing?
Content Gap Analysis: What questions are users asking in groups or bots that you don't yet have dedicated content for?
User Journey Mapping: