Can multiple agents share one enquiry?

Yes, assignment rules handle round-robin or manual handoffs; broker splits are logged.

What if a broker closes the deal outside Leadkaun?

Log it as 'closed-external' with commission tagged; the engine still attributes the originating enquiry.

Does Leadkaun integrate with 99acres / MagicBricks?

Not natively in Phase 1. Export their leads to CSV (from 99acres / MagicBricks, or a Google Sheet) and import into Leadkaun; native sheet sync is on the roadmap.

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.

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 do leads get into Leadkaun?

CSV import or manual entry today, plus a generic webhook. Indian phone formats are normalised and duplicates caught on insert. Native Google Sheets sync and IndiaMART / Facebook Lead Ads connectors are on the roadmap; for now those sources come in via CSV export. Every lead is graded A–F the moment it lands.

Real Estate · Kolkata

Real Estate Lead Management in Kolkata.

Kolkata-based real estate 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 real estate teams in Kolkata manage leads?

Leadkaun grades every real estate lead in Kolkata 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

₹5L–₹5Cr GCV

Sales cycle

2 days to 4 months (enquiry → registration)

Primary channels in Kolkata

99acres · MagicBricks · Housing.com

01Why Kolkata real estate teams lose deals

The patterns we see every week.

Property enquiries go cold within the hour

In real estate, the first team to reach a fresh enquiry usually wins it, interest fades fast once a buyer starts calling around. Most teams call back in 4+ hours, or not at all.

One missed site visit = ₹5–₹50L lost

Property deals are high-value and emotion-driven. A cold lead doesn't just not convert. They go to a competitor who called first.

Reps call the new enquiries. Forget the warm ones.

Without a queue, reps call the freshest lead. But a Grade B lead that replied to a WhatsApp 2 days ago is far more likely to close than a cold new enquiry.

02How Leadkaun helps real estate teams in Kolkata

What we configure on day one.

01
Every property enquiry gets Grade A–F based on project fit, location match, and engagement
02
Priority Queue surfaces the leads most likely to convert TODAY, not just the newest ones
03
3-tap logging: rep marks call outcome, WhatsApp stage, and site visit booking in under 10 seconds
04
Missed Opportunity Engine shows every stale enquiry with ₹ value, manager sees per-rep accountability
05
Morning Brief: '4 Grade A enquiries need callback. ₹12L in site visits at risk today'

Kolkata context

Real Estate teams in Kolkata, West Bengal typically source leads from 99acres, MagicBricks, Housing.com. Eastern India's commercial centre. 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 Kolkata clusters around Salt Lake Sector V, BBD Bagh, Park Street, New Town, with the local economy built on the Sector V IT hub and BBD Bagh banking and trading houses, the areas a real estate pipeline here most often draws from.

What this looks like in practice

“When every enquiry is graded and queued, reps reach the hottest buyers first instead of calling in arrival order, often the difference between booking the site visit and losing it to whoever called back sooner.”

Illustrative scenario

03How the grade works

How every real estate 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.

04Who signs off

Who decides, on a real estate lead in Kolkata.

The people who decide what happens to a real estate enquiry in Kolkata are not one audience. Each is asking their own question of it.

Broker

mid

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

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.

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