How does TK Hunter identify high-intent leads?

TK Hunter uses advanced NLP semantic analysis and a multi-dimensional scoring engine to evaluate comments, chat logs, and DMs, isolating high-value leads.

1. Core Definition

"AI Lead Scoring and Identification" refers to processing raw comment and chat text using NLP algorithms to rank prospects by transactional intent, prioritizing hot leads for sales follow-ups.

2. Key Parameters

The system evaluates comments based on three tiers of intent. High-intent remarks (e.g., "Do you have size L?", "How long to ship to UK?") are isolated and pushed to the sales pipeline.

• Inquiry Keyword Matching: Scans for phrases containing price, wholesale, buy, website, shipping, etc.
• Specification Inquiries: Flags questions about customization options (OEM/ODM), sizes, materials, or MOQs.
• Frequency & Retention: Tracks users commenting multiple times or watching live streams for extended periods.
• Competitor Pain Points: Identifies users complaining about competitor quality or delivery delays.

3. Conclusion

AI identification filters out 90% of irrelevant comments, allowing sales teams to focus on hot prospects tagged as "high intent" by the system, maximizing closing ratios.