Missed Opportunity Engine
Every stale lead
gets a rupee value.
“Overdue follow-up” is easy to ignore. “₹4.5L at risk” is not. The engine translates every stale Grade A into the one number a Monday review should open with, and hands the rep the leads to recover it.
Missed · this week
at risk₹8.4L
across 16 stale leads, recoverable if actioned this week
Illustrative figures. Actual ₹ uses your grade-wise deal values and conversion rates.
01The live product
Open Missed Opps and see the ₹ walking out.
This is the actual product. Every lead past its stale window, with a ₹ value and the next recovery action attached.
Missed Opps3Missed Opportunities
Stale leads, valued by ₹ at risk, recover them before they're gone.
At risk today
₹82L
5 stale
7-day trend
0%
₹ at risk, 7 days
Recovered · 7d
₹0
A/B leads won
Top stale by rep
High-value missed opportunities5
| Lead | Last activity | Status | ₹ at risk | |
|---|---|---|---|---|
| 18 days ago | Stale · C | ₹24,00,000 | ||
| 31 days ago | Stale · A | ₹22,00,000 | ||
| 24 days ago | Stale · A | ₹17,00,000 | ||
| 19 days ago | Stale · B | ₹11,00,000 | ||
| 16 days ago | Stale · B | ₹8,00,000 | ||
| Total ₹ at risk | ₹82,00,000 | |||
Quick answer
What is a Missed Opportunity Engine and how does Leadkaun put a rupee value on stale leads?
It flags every lead that has passed its stale window for its grade, then attaches a ₹ at risk figure, avg deal value × grade conversion rate, so “overdue follow-up” becomes a number a manager can act on. The rupee amounts are illustrative estimates, and each one maps to a concrete recovery actionin the rep's queue, not a guilt trip.
02The formula
One line. Zero black box.
No model, no mystery. ₹ at risk is deal value times a grade-specific conversion rate, and you can see the working on every lead.
₹ at risk, per stale lead
avg deal value×grade conversion rate
Worked example, real estate
₹45L average GCV × 10% Grade A conversion = ₹4.5L at risk for a single stale Grade A lead. Sum across the stale pool and you have the weekly number.
03Stale windows
A grade decides how long is too long.
A Grade A left 25 hours is a problem. A Grade D at 25 hours is fine. Each grade has its own fixed stale window, so “overdue” means something different for a hot buyer than for a long-tail enquiry, and reps aren't chased for the wrong ones.
04Recovery, not blame
Same number. Two very different conversations.
What the rep sees
“₹1.8L to recover today. Top 3: Priya, Rajesh, Mohan.”
Framed as opportunity, with the exact leads to call. A morning target, not an accusation.
What the manager sees
Per-rep ₹ at risk, Grade A count, and where the biggest leaks are.
A rollup that turns Monday review into “here's this week's recovery plan,” not a round of finger-pointing.
05In their words
Nobody notices a slow leak. They notice the lead they lost.
Before
Forty portal enquiries a day, and the one we called first was whoever had messaged most recently.
“We were never short of leads. We were short of an order to work them in. The first morning the queue told us to call a site visit from nine days ago before any of the fresh ones, and that settled an argument we had been having for two years.”
Mandar Deshpande
Director of Sales, Vaastavik Realty
Pune · Real estate
06FAQ
Recovery questions.
07Works with
The ₹ number is the output. Here's what feeds it.
Product mechanics, published in full at /methodology
Per week
₹ at risk, per rep, every Monday
Per grade
Stale windows fixed per grade, not guessed
Not blame
Framed as recovery, never shaming
Recoverable
Every ₹ at risk maps to a queue action
08 · Ready when you are
See the ₹ leaking from your pipeline.
Import your leads. Leadkaun grades them, flags the stale ones, and shows the ₹ at risk you can still recover this week.
Free ₹0 · no card · same-day setup