Bot Interaction Data (Clicks & Flow Progression):
(e.g., "Request a Quote," "View Pricing," "Contact Sales").
Flow Completion: How far does a user progress through a qualification or onboarding flow? (Partial vs. full completion).
Feature Exploration: Which bot features or sections are explored most frequently or deeply.
Asset Downloads: If the bot delivers downloadable content (e.g., whitepapers, brochures).
Channel/Group Activity Data:
Message Reactions: Using Telegram's reactions (likes, hearts, etc.) can indicate approval or interest.
Comments/Replies: Active participation in discussions, asking questions, or providing insights in groups.
Link Clicks: Clicks on links netherlands telegram mobile phone number list shared in channels or groups that lead to external content.
Voting in Polls: Participation in polls, especially on topics relevant to your offering.
Implicit Data:
Last Active Date: Recency of engagement.
Overall Interaction Count: Total number of messages exchanged or actions taken.
Inactivity Periods: Length of time without engagement.
Building an AI-Powered Telegram Lead Scoring Model
This is a multi-step process, requiring data, algorithms, and continuous refinement.
Define Your Scoring Criteria & Desired Actions:
What constitutes a "hot" lead? (e.g., requests demo, asks about pricing, expresses clear need).
What constitutes a "cold" lead? (e.g., unsubscribes, no interaction for 90 days, expresses negative sentiment).
Map scores to actions: e.g., Score > 80 = instant sales alert; Score 50-79 = nurture campaign; Score < 20 = re-engagement attempt or removal.
Data Collection & Integration:
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