Leadkaun

For Founders in Thane

Sales software built for the way founders work.

You run the company. Sales is a black box. You pay ₹X lakh/month in reps and don't know what's happening. The numbers in Zoho look okay, but your revenue is flat. You're about to hire rep #10 and have no data to justify it, or reject it.

Product mechanics, published in full at /methodology

A–F
every lead graded, in real time
3 scores
Fit, Intent and Quality, published weights
same day
to first graded lead
flat ₹
priced per account, not per seat

Quick answer

Is Leadkaun useful for a founder in Thane?

Yes. Rep-level ₹ accountability, with the money at risk from stale leads surfaced daily rather than discovered at month end. Pipeline visible in one page. You don't need to hire a VP Sales to understand sales anymore.

01How Leadkaun changes your day

From triage to action.

Rep-level ₹ accountability, with the money at risk from stale leads surfaced daily rather than discovered at month end. Pipeline visible in one page. You don't need to hire a VP Sales to understand sales anymore.

Founders in Thane

In Thane, Maharashtra, a founder most often sells into Real Estate, Manufacturing, Healthcare. Leadkaun grades every enquiry from those sectors A–F on fit, intent and quality, so the queue is ranked before the founder opens it.

The modules a founder leans on most: missed-opportunity-engine, morning-brief, sales-rep-tracking, built for how founders in Indian B2B actually work, with WhatsApp as a first-class lead signal and ₹ figures in Indian formatting throughout.

02How the grade works

How every 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 a real-estate desk, Fit is mostly budget band and locality against your project mix, a ₹2 crore enquiry for a project you don't sell scores low on Fit however keen the buyer sounds.

03Who signs off

Who decides, on a real estate lead in Thane.

A real estate enquiry in Thane is rarely decided by one person. Two or three read it, and they are not reading it for the same thing.

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

Has to defend the call order in Monday's review, so the reason a lead ranks where it does has to survive being questioned.

Is deciding whether the requirement matches inventory actually available right now.

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.

06FAQ

Questions founders ask.

Ready when you are

Your reps open their queue tomorrow.

Setup the same day. Free forever on 1 user and 100 active leads. No card.

Free forever · 1 user · 100 leads · No card