Maximized Funnel Efficiency: Ensures no potential customer is left behind, optimizing the entire sales and marketing funnel.
Phase 1: Defining & Identifying Cold Leads from Telegram Activity
The first step is to precisely define what constitutes a "cold lead" within your Telegram context and identify them.
Define "Cold" with Data:
Inactivity Thresholds: Establish clear timeframes for inactivity.
Example 1 (Short Cycle, B2C): No bot interaction/channel views in 15-30 days.
Example 2 (Long Cycle, B2B): No bot interaction/channel thailand telegram mobile phone number list views/group posts in 60-90 days since last engagement or specific high-intent action.
Lack of Response to Previous Outreach: Leads who completed an initial bot flow but never responded to follow-up messages.
Abandoned Key Actions: Users who started a demo request, quiz, or purchase flow but never completed it, and have since gone inactive.
"Unsubscribed" Equivalents: Users who explicitly stopped your bot or left your channel/group (though these are often harder to re-engage).
Leveraging Telegram Activity Data for Identification:
Telegram Bot Analytics:
last_active Timestamp: This is your primary metric. All reputable bot platforms track this. Filter users whose last_active date falls outside your "cold" threshold.
tag:abandoned_demo_request: Identify users who started a specific high-intent flow but dropped off.
tag:no_response_to_nurture_sequence: Track users who didn't open/click messages in your initial nurture.
CRM Integration: Ensure your Telegram bot pushes last_active timestamps, tags, and other behavioral data to your CRM. This allows for cross-platform identification of cold leads.
Channel/Group Analytics (e.g., Combot for groups): While harder to get individual last_active for channels, you can infer based on whether they still remain in the channel/group and haven't interacted with recent posts (if you link channel views to their bot profile). For groups, last_message_timestamp can be useful.