Does it integrate with our LMS / SIS?

Not in Phase 1. Export leads to CSV for the SIS; Leadkaun owns the enquiry-to-enrolment funnel only.

Does it handle parent + student dual thread?

Yes. The lead record has primary + secondary contacts, and WhatsApp tracking logs who replied when.

How does it handle seasonality?

Intent decay rates are configurable per admissions cycle; default India EdTech cycle supported.

Is the lead scoring a black-box AI model?

No. The score is three transparent 0–100 components, Fit, Intent and Quality, combined on fixed, published thresholds. The weights are identical for every account, so any rep can see exactly why a lead earned its grade, rather than trusting an opaque AI number.

Can I tune the scoring to my kind of business?

You configure your ICP, the industries, states, business types, decision-maker roles and budget bands that define a good customer, and that drives every Fit score. The underlying weights stay fixed and auditable by design, so the grade remains explainable and comparable across accounts.

Does Leadkaun replace my CRM?

No. Leadkaun runs alongside your CRM. Your CRM stays the system of record for what happened; Leadkaun is the behaviour layer that decides what happens next, grading every lead A–F, ranking each rep's Priority Queue, and surfacing the ₹ at risk. Most teams import a CSV and run both in parallel to measure the difference first.

Does it work with WhatsApp?

Yes. WhatsApp is a first-class signal. Reps log each exchange in three taps (stage, intent, outcome) from any regular WhatsApp account, no Business API needed, and it feeds the Intent Score. Automated sending via a BSP is on the roadmap; today the logging is manual.

How long does it take to get started?

You can be set up the same day. A short onboarding wizard captures your ICP industries, states, business types, decision-maker roles and budget bands, then you import a CSV and every lead is graded A–F immediately. No implementation project, no dedicated admin.

Lead Scoring

Lead Scoring for EdTech Teams in Chennai.

Leadkaun's lead scoring is built for how Chennai-based edtech teams actually sell, Indian phone handling, WhatsApp as a first-class lead signal, ₹ figures in Indian formatting throughout.

In short

Most edtech desks in Chennai run on gut feel and the freshest enquiry. Lead Scoring replaces that with a transparent Grade A–F on every lead, so reps spend their hours on the enquiries most likely to close this week, not just the newest one.

Start free→See pricing →

Quick answer

What is Leadkaun's lead scoring for edtech teams in Chennai?

01What lead scoring does

What it does for edtech teams.

01
Three-dimensional scoring: Fit (ICP), Intent (engagement), Quality (data reliability)
02
Transparent weights. Every rep can see why a lead is Grade A, not a black-box AI score
03
Intent decays automatically when leads go silent, stale grades drop without manager intervention
04
{industry}-specific ICP templates built for Indian market defaults
05
Grades in real time as each lead lands, so the queue is ready before the rep opens it

02On lead scoring

What lead scoring actually solves.

Lead scoring is how a team decides which enquiry to work first when far more arrive than anyone can call. Done well, it replaces gut feel and recency bias with a defensible ranking: the freshest lead isn't automatically the best one, and the lead that's been sitting for a day might be the ₹40-lakh deal about to go cold.

Leadkaun scores every lead on three transparent 0–100 dimensions, Fit against the ICP you configure, Intent from real engagement signals, and Quality from data reliability, then combines them into an A–F grade. The weights are fixed and identical for every account, so it's never a black box: a rep can always see exactly why a lead is Grade A, and intent decays automatically when a lead goes silent so the grade stays honest over time.

EdTech in Chennai

In Chennai, edtech teams typically work leads from Facebook Ads, Google Ads, referrals, with deal sizes in the ₹15k–₹15L annual fee range and sales cycles of 3 days to 120 days (admissions cycle-bound). Leadkaun's lead scoring is calibrated for those realities, not a generic US B2B default.

In Chennai, Tamil Nadu, B2B demand concentrates in manufacturing, saas, bfsi. Leadkaun grades and queues every enquiry here on fit, intent and quality, so a Chennai rep works the highest-probability leads first.

Manufacturing + auto hub; also strong IT services sector, context Leadkaun's grading accounts for when it ranks a Chennai edtech pipeline.

Commercial activity clusters around OMR IT Corridor, Guindy, Ambattur, Perungudi, with the local economy built on OMR software exports and Ambattur auto-component and engineering units, the areas a Chennai edtech pipeline most often draws from. Leadkaun grades and queues those enquiries so the highest-intent ones surface first, wherever they land.

03How the grade works

How every edtech lead is graded A–F.

No black box. Each grade is three transparent 0–100 scores combined against fixed, auditable thresholds, and stale leads surface as ₹ at risk before they go cold.

Fit

0–100

How closely the lead matches the ICP you set, industry, state, business type, decision-maker role and budget band. This is the part you shape: you configure who a good customer is, not the maths behind it.

Intent

0–100

Engagement and signal events, source strength, WhatsApp replies, pricing-page visits, callbacks. Intent decays as a lead goes silent, so a hot lead that stops responding cools automatically instead of sitting falsely high.

Quality

0–100

Data reliability, completeness, phone and email validity, junk and duplicate detection. If Quality is too low the lead is capped down the grades, so bad data can never masquerade as a good lead.

The threshold

A lead is Grade A when Fit ≥ 65, Intent ≥ 60 and Quality ≥ 60, the rest step down through B–F on the same fixed cut-offs. Because the weights are identical for every account, the grade stays explainable and comparable: no per-customer tuning, no hidden model.

For admissions, Fit is programme match and the decision-maker: a parent enquiring for a course you run scores differently from a student browsing three institutes.

04Who signs off

Who decides, on a EdTech lead in Chennai.

Before a EdTech lead in Chennai gets worked properly, it passes the judgement of two or three people with different stakes in it.

Branch Manager

senior

Is answerable for what the branch did with the enquiry, which makes a written trail worth more than a recollection.

Admissions Counsellor

junior

Is judging urgency against the intake calendar. The same enquiry means different things in and out of season.

Founder

senior

Wants to know whether this enquiry is worth anyone's afternoon before the team spends one.

This is why Fit is scored separately from Intent: how keen someone sounds and whether they are the person you can actually sell to are two different questions. Both are published with their weights.

05What lead scoring touches