Lead Scoring
Short definition
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).
How teams actually use it.
Lead scoring assigns every lead a grade based on structured signals — firmographic match, engagement behaviour, and data completeness. Modern scoring uses three independent scores (Fit, Intent, Quality), each 0–100, which combine into a Grade A–F. Unlike qualification (a one-time yes/no gate), scoring is continuous — the score updates every time a signal arrives (a call, a WhatsApp reply, a website re-visit) and decays when leads go silent.
Three ways it shows up.
- 01
A Grade A lead matches your ICP, has recent engagement, and complete data.
- 02
A Grade F lead has a Quality Score below 20 (junk phone, fake email).
Neighbours in the glossary.
Grade A
The highest-priority lead grade. In Leadkaun, a Grade A requires Fit ≥ 65, Intent ≥ 60, and Quality ≥ 60. Rep SLA: call within 24 hours.
Fit Score
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).
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.
Priority Queue
A ranked list of leads per rep, re-ranked in real time as signals arrive — telling the rep exactly who to call next.
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.