Does it work offline for field reps?

Mobile UI is offline-tolerant; logs sync on reconnection.

How is territory handled?

Leadkaun does not route by territory, assignment is manual, one lead at a time, and territory rules belong in your CRM. What Leadkaun adds is grading every enquiry on fit before it is assigned, so whoever picks the owner can already see which dealer is worth the call.

Franchise multi-step workflow?

Lead record supports multi-stage workflow (enquiry → evaluation → investment → onboarding).

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.

How much does Leadkaun cost?

Pricing is flat per account, not per seat: Free ₹0, Starter ₹2,999, Growth ₹7,999 and Scale ₹19,999 per month, plus a custom Enterprise tier. Adding more reps doesn't raise the bill within a tier, so the cost stays predictable as the team grows.

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.

How does the A–F grade get decided?

Three transparent 0–100 scores, Fit (how well the lead matches the ICP you set), Intent (engagement and signal events), and Quality (data reliability), combine into a single A–F grade. Intent decays as a lead goes silent, and the weights are fixed and auditable for every account, so a rep can always see exactly why a lead is Grade A.

Lead Scoring

Lead Scoring for Retail Teams in Hubli-Dharwad.

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

In short

Leadkaun brings lead scoring to retail teams in Hubli-Dharwad without the enterprise-CRM weight: every lead graded A–F in real time, a live queue that re-ranks as signals arrive, and missed revenue surfaced in rupees. Set up the same day.

Start free→See pricing →

Quick answer

What is Leadkaun's lead scoring for retail teams in Hubli-Dharwad?

01What lead scoring does

What it does for retail 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.

Retail in Hubli-Dharwad

In Hubli-Dharwad, retail teams typically work leads from exhibitions, IndiaMART, field rep territory, with deal sizes in the ₹25k–₹50L per order / franchise fee range and sales cycles of 7 days to 180 days. Leadkaun's lead scoring is calibrated for those realities, not a generic US B2B default.

In Hubli-Dharwad, Karnataka, B2B demand concentrates in education, manufacturing, healthcare. Leadkaun grades and queues every enquiry here on fit, intent and quality, so a Hubli-Dharwad rep works the highest-probability leads first.

North Karnataka twin-city, context Leadkaun's grading accounts for when it ranks a Hubli-Dharwad retail pipeline.

Commercial activity clusters around Gokul Road, Tarihal, Lakamanhalli, Amargol, with the local economy built on a North Karnataka commercial hub with the Amargol APMC cotton and chilli market, the areas a Hubli-Dharwad retail 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 retail 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.

In B2B retail, Fit is order volume and whether the buyer is a dealer, distributor or one-off, repeat-order potential is the signal.

04Who signs off

Who decides, on a retail lead in Hubli-Dharwad.

A retail enquiry in Hubli-Dharwad is rarely decided by one person. Two or three read it, and they are not reading it for the same thing.

Founder

senior

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

Head of Sales

senior

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

Branch Manager

senior

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

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