How to Qualify Leads from Telegram Chats

Why Qualification Matters

Getting 1,000 leads means nothing if none of them convert. Qualification ensures you focus energy on leads most likely to become customers.

The Intent Scoring Framework

HOT Leads (Score 80-100)

Signals:

• Asked for pricing directly
• Requested a demo or trial
• Mentioned specific pain points your product solves
• Asked how much or what is the cost
• Compared you to competitors

WARM Leads (Score 40-79)

Signals:

• Expressed interest in the topic
• Asked related questions
• Engaged with your content
• Mentioned budget or timeline
• Fit your ideal customer profile

COLD Leads (Score 0-39)

Signals:

• Generic engagement (likes, emoji)
• No buying signals
• Wrong audience segment
• Passive observers

How to Score Leads

Message Analysis

Score each message based on:

1. Explicit intent (+30 points): Direct questions about pricing, demos, trials
2. Topic relevance (+20 points): Discussion of problems you solve
3. Engagement level (+15 points): Reply frequency, message length
4. Profile fit (+20 points): Job title, company size, industry
5. Timing (+15 points): Recent activity, decision-making cycle

Conversation Context

Look at the full conversation, not just individual messages:

• Are they comparing solutions?
• Have they mentioned budget?
• What is their timeline?
• Who else is involved in the decision?

Automation vs. Manual Review

Automate:

• Initial scoring based on message keywords
• Profile matching against your ICP
• Engagement tracking over time
• Flagging high-intent signals

Manual Review:

• Complex buying signals
• Enterprise deals
• Edge cases
• Relationship building

The 24GO Advantage

24GO AI classifier automatically scores leads based on:

• Message content and context


• Conversation history


• Profile data


• Behavioral patterns

This lets you focus on closing deals instead of manually sorting leads.