Leadkaun

For Head of Saless in Jaipur

Sales software built for the way head of saless work.

You own the number. Your VP and founder both want updates. Your CRM dashboards lag reality by a week. Rep adoption is inconsistent. You spend 40% of your week assembling slides from 4 tools to answer 'how are we doing?'.

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 head of sales in Jaipur?

Yes. One number: ₹ at risk this week, broken down by rep. Morning Brief at 8:30 AM answers 90% of status questions before the all-hands. Adoption-by-design (3-tap logging) means the data is complete.

01How Leadkaun changes your day

From triage to action.

One number: ₹ at risk this week, broken down by rep. Morning Brief at 8:30 AM answers 90% of status questions before the all-hands. Adoption-by-design (3-tap logging) means the data is complete.

Head of Saless in Jaipur

In Jaipur, Rajasthan, a head of sales most often sells into Real Estate, EdTech, BFSI. Leadkaun grades every enquiry from those sectors A–F on fit, intent and quality, so the queue is ranked before the head of sales opens it.

The modules a head of sales leans on most: missed-opportunity-engine, morning-brief, sales-rep-tracking, priority-queue, built for how head of saless 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 Jaipur.

More than one person forms a view on every real estate enquiry in Jaipur, and they weigh it differently.

Founder

senior

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

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 head of saless 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