Question 1

What does '₹ at risk' actually mean?

Accepted Answer

It's the expected rupee value of leads that will likely go cold if no one acts, high-grade leads aging past their follow-up window, multiplied by their probability and deal size. Leadkaun's Missed Opportunity Engine computes it continuously, so a manager can answer 'what's at risk this week?' in one glance instead of an afternoon of filtering.

Question 2

Why measure rupees instead of percentages?

Accepted Answer

Percentages abstract away urgency and are easy to argue with. Rupees are concrete and personal, a rep protects ₹8 lakh of pipeline more readily than they chase 'a 4-point conversion lift'. ₹-first metrics drive faster action and cleaner commission conversations.

Question 3

How do I calculate the cost of a missed lead?

Accepted Answer

Take the lead's expected deal value, multiply by the conversion probability at its grade, and weight by how recoverable it still is. Do that across every aging lead and you get the team's ₹ at risk, the single most motivating number on the dashboard.

Question 4

What's the one metric a sales manager should watch daily?

Accepted Answer

₹ at risk this week, broken down by rep. It tells you where revenue is leaking and who needs help today, far more actionable than activity counts or a lagging conversion percentage.

Rupee-First Analytics

How to Calculate the Cost of a Missed Lead (in ₹, for Indian B2B)

₹ at Risk: The One Number Every Sales Manager Should Watch

Why Percentage Metrics Lie (and ₹ Metrics Don't)

Rupee-First Analytics, running by itself.