Can we track doctor-to-patient referral commissions?

Yes, via source-attribution fields.

Is health data stored securely?

Supabase Singapore region; RLS policies; encryption in transit and at rest; full audit log.

Can we run appointment reminders?

Yes, follow-up engine includes appointment-due reminder type.

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 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.

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.

Healthcare · Mumbai

Healthcare Lead Management in Mumbai.

Mumbai-based healthcare 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 healthcare teams in Mumbai manage leads?

Leadkaun grades every healthcare lead in Mumbai 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

₹500–₹5L per appointment/package

Sales cycle

Same day to 90 days (corporate tie-ups)

Primary channels in Mumbai

Google Ads · Facebook Ads · doctor referrals

01Why Mumbai healthcare teams lose deals

The patterns we see every week.

Corporate tie-up leads get lost

HR sends 200 employee numbers for a health check. Reps can't triage who's a Grade A vs. just HR paperwork. 40% go cold without a callback in 48 hours.

Return patients vanish between visits

A patient bought a basic panel last month and is ready for an advanced one. Nobody remembers. ₹3k–₹30k of LTV walks out to another diagnostic chain.

Doctor referral attribution is guesswork

Referring doctors expect a monthly report showing how their referrals converted. Extracting that from 3 tools + WhatsApp threads takes a full day per month.

02How Leadkaun helps healthcare teams in Mumbai

What we configure on day one.

01
Patient records double as lead records, repeat-visit continuity with LTV tracking and upsell readiness signals
02
Referring-doctor source attribution is baked in. Every referred patient is tagged, and monthly doctor reports auto-generate
03
Corporate HR tie-ups supported as a business_type, bulk leads triaged by appointment urgency and package value
04
WhatsApp tracking logs appointment confirmations, report-delivery replies, and follow-up requests
05
Compliance-ready: every signal is timestamped, every contact is audit-exportable, DND flags respected

Mumbai context

Healthcare teams in Mumbai, Maharashtra typically source leads from Google Ads, Facebook Ads, doctor referrals. Financial capital, strongest BFSI + fintech concentration. 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 Mumbai clusters around BKC, Lower Parel, Nariman Point, Andheri, with the local economy built on financial services HQs, media, IT offices, and diamond trade, the areas a healthcare pipeline here most often draws from.

What this looks like in practice

“Grading corporate and referral enquiries by fit means the high-value tie-ups get worked first, instead of being buried under routine walk-in queries.”

Illustrative scenario

03How the grade works

How every healthcare 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 healthcare, Fit is procedure match and catchment, an out-of-area enquiry for a service you offer scores lower than a local one.

04Who signs off

Who decides, on a healthcare lead in Mumbai.

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

Founder

senior

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

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.

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