How AI Lead Scoring 4x'd This Mumbai Startup's Sales Team Efficiency

When Priya Sharma's edtech startup was generating 500 leads per month but closing only 8, she knew something had to change. Her 3-person sales team was spending equal time on CEOs genuinely interested in corporate training and fresh graduates looking for free resources.

The Problem: All Leads Looked the Same

Without lead scoring, every inquiry got the same 5-touch follow-up sequence. High-intent buyers were getting the same attention as tire-kickers — and the best leads were going cold while the team chased unqualified ones.

Implementing AI Lead Scoring

After implementing Trinetra AI's lead scoring, each lead was automatically scored 0-100 based on: company size, designation, pages visited, email engagement, response time, and conversation sentiment.

The Results After 90 Days

Leads scoring above 70 were called within 1 hour — and closed at 34%. Leads below 40 went into an automated nurture sequence. The team's average deal size increased by 2.3x because they focused on qualified buyers.

How to Set Up Lead Scoring

Start by defining your ideal customer profile. Then assign points for: job title match (+20), company size match (+15), email opened (+5), WhatsApp replied (+10), visited pricing page (+25), booked a demo (+40).