Can we set different scoring per course?

Not as separate weightings. The scoring weights are fixed and identical for every account. That is what keeps a grade explainable and comparable between two managers looking at the same scale. What you configure is the ICP: the business types, decision-maker roles and budget bands that define a good enquiry. Programme-level differences come through Fit and Intent rather than a separate model, an engineering enquiry and an arts enquiry that behave differently will grade differently on the same scale.

What about offline / walk-in admissions?

Manual entry form takes 15 seconds; the lead enters the queue immediately.

How does it handle seasonality?

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

Can I try Leadkaun before paying?

Yes. There's a Free ₹0 tier to start, and you can trial the paid features without committing. Because setup is same-day and leads grade on import, you can see your own pipeline ranked A–F before deciding anything.

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.

EdTech · Chennai

EdTech Lead Management in Chennai.

Chennai-based edtech teams use Leadkaun to grade every lead A–F, build each rep's Priority Queue, and surface missed revenue in rupees. Setup the same day.

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Quick answer

How does Leadkaun help edtech teams in Chennai manage leads?

Leadkaun grades every edtech lead in Chennai A–F across fit, intent, and quality in real time, then builds each rep a live Priority Queue so the highest-intent enquiries get worked first. WhatsApp is a first-class 3-tap signal, and missed revenue surfaces in rupees. Setup happens the same day, at flat INR pricing.

Typical deal size

₹15k–₹15L annual fee

Sales cycle

3 days to 120 days (admissions cycle-bound)

Primary channels in Chennai

Facebook Ads · Google Ads · referrals

01Why Chennai edtech teams lose deals

The patterns we see every week.

400 enquiries, one counsellor

Admissions counsellors carry 200–500 leads each. With no triage, 30 minutes every morning goes to deciding who to call first, instead of calling.

Parent threads drop mid-conversation

Parent says 'discuss with my spouse', disappears, and nobody follows up at the right moment. Most qualified conversations move to WhatsApp, and most CRMs don't see any of it.

Admissions cycles are ₹-sensitive

A Grade A lead in April is worthless in September. Counsellors who miss the 5-day follow-up window lose a full year's fee (₹50k–₹5L) per missed enrolment.

02How Leadkaun helps edtech teams in Chennai

What we configure on day one.

01
Every enquiry is graded A–F based on course fit, programme match, and engagement signals from both student and parent
02
3-tap WhatsApp logging captures every parent reply, stage, intent, outcome, feeding the Intent Score in real time
03
Priority Queue surfaces the Grade A parents who replied overnight, so the first call by 11 AM hits the hot leads
04
Intent decay respects admissions cycles: a silent Grade A drops to Grade B over a week, so the queue stays fresh
05
Morning Brief: '8 Grade A enquiries replied overnight. ₹6L in admissions at risk if not called by 11 AM'

Chennai context

EdTech teams in Chennai, Tamil Nadu typically source leads from Facebook Ads, Google Ads, referrals. Manufacturing + auto hub; also strong IT services sector. All of those channels flow into Leadkaun via CSV upload or manual entry in minutes (a Google Sheets connector is on the roadmap), where every enquiry is scored and graded A–F before it reaches a rep.

Commercial activity in Chennai 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 edtech pipeline here most often draws from.

What this looks like in practice

“With overnight enquiries pre-ranked by 9 AM, a counsellor's morning starts with the Grade A parents to call first, not thirty minutes spent deciding who to call.”

Illustrative scenario

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.

Head of Sales

senior

Cares less about the single lead than about whether the team is working the right ones this week.

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 a team here uses most