Fit Score
Short definition
A 0–100 score measuring how well a lead matches your Ideal Customer Profile. Weights: industry (30) + geography (20) + business type (20) + role (15) + budget (15).
How teams actually use it.
Fit Score is the static component of lead scoring — it tells you whether a lead is a good match for your product, independent of how engaged they are. Leadkaun's default weights favour industry match (30%) and geography (20%), reflecting the reality that Indian B2B sales often gates on vertical expertise and regional presence. The weights are fixed and transparent, so every rep can see why a lead is Grade A; your ICP — the industries, geographies, roles and budget bands that define your best customers — is configured once per account.
Three ways it shows up.
- 01
A real-estate team in Bengaluru matches 'industry=real-estate' (30) + 'geography=tier-1' (20) + 'business-type=agency' (20) = 70 Fit.
Neighbours in the glossary.
Lead Scoring
A system that ranks every lead by how likely they are to convert, typically across three dimensions: Fit (ICP match), Intent (engagement), Quality (data reliability).
ICP (Ideal Customer Profile)
The firmographic profile of your best-fit customers. Drives the Fit Score component of lead scoring.
Intent Score
A 0–100 score measuring how engaged a lead is, with time-based decay. Source baseline + call (+15) + WhatsApp reply (+10) + meeting (+25) — minus 3 points/day after engagement threshold.
Quality Score
A 0–100 score measuring how reliable a lead's data is. Valid phone (30) + email (15) + company (15) + inquiry clarity (20) + source reliability (10) — minus junk penalties.
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.
Stop defining. Start scoring.
Leadkaun puts these concepts into practice — A–F grading, Priority Queue, Missed ₹. Setup the same day.