How do I calculate the cost of a missed lead?
TL;DR
Cost = (average deal value for that grade) × (grade-specific conversion rate) × 1 lead. For a real estate team: ₹45L avg deal × 10% Grade A conversion = ₹4.5L per stale Grade A. Multiply by N stale leads for aggregate ₹ at risk.
Here's the detail.
Pull 90 days of closed-won data. Compute avg deal value and conversion rate per grade. Apply formula. For 8 Grade A real estate leads stale this week: 8 × ₹4.5L = ₹36L at risk. That's the Monday morning conversation opener. Surface it in three places: manager Monday review, rep Morning Brief (opportunity-framed — '₹ to recover' not '₹ you missed'), Friday team scorecard. Leadkaun's Missed Opportunity Engine automates the calculation continuously.
Teams also ask.
What does ₹ at risk mean?
₹ at risk is the total rupee value of stale leads across your pipeline. Computed as (avg deal value × grade conversion rate) summed over overdue leads. For a 10-rep Indian B2B SMB, baseline is typically ₹2–5 lakh per week.
What is a Missed Opportunity Engine?
A Missed Opportunity Engine attaches a rupee value to every stale lead — 'Grade A, 48 hours stale, ₹12L at risk' — turning abstract overdue alerts into concrete financial ones. It's the leading indicator of revenue leakage.
This is the product behind the page.
Every lead graded A–F, a live Priority Queue per rep, and the ₹ at risk surfaced in real rupees — set up the same day.
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