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Article

Clinic CRM vs hospital CRM: India buyer guide 2026

A category-level buyer guide for Indian healthcare operators choosing between a clinic-grade CRM, an ABDM-native multi-clinic CRM, or a hospital HIS-overlay CRM. Six axes, three tiers, four buyer archetypes, and the DPDP and ABDM realities that reshape the decision in 2026.

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A category-level buyer guide for Indian healthcare operators choosing between a clinic-grade CRM, an ABDM-native multi-clinic CRM, or a hospital HIS-overlay CRM. Six axes, three tiers, four buyer archetypes, and the DPDP and ABDM realities that reshape the decision in 2026.

TL;DR

A category-level buyer guide for Indian healthcare operators choosing between a clinic-grade CRM, an ABDM-native multi-clinic CRM, or a hospital HIS-overlay CRM. Six axes, three tiers, four buyer archetypes, and the DPDP and ABDM realities that reshape the decision in 2026.

TL;DR

  • A clinic CRM and a hospital CRM are built on different data models and answer to different regulators. Treating them as small and large versions of the same product is the most common CRM buying mistake in Indian healthcare right now.
  • For a single-site dental, dermatology, or aesthetic clinic, a lightweight cloud CRM with WhatsApp API and GBP hooks is usually enough. Once you cross about 4 locations or 50 beds, that stack starts to break in ways that show up in your revenue, not just your reports.
  • Hospitals need a CRM that either sits on top of the HIS/EHR or holds a real encounter model of its own, plus DPDP-grade audit logs and ABDM readiness at HIU and HIP level.
  • India-specific compliance (DPDP Act 2023, the NMC advertising code, ABDM gateway integration) narrows the practical vendor field far more than global feature lists ever suggest.
  • Ask which category tier fits your data model, referral flow, and marketing spend three years out. That question sorts the market far better than any feature comparison.

Table of contents

Why this comparison matters in Indian healthcare

Most Indian healthcare operators start the CRM conversation from the wrong end. They ask a vendor demo team for a feature checklist, get an impressive-looking sheet back, and realise 18 months later that the software they picked was designed for a US primary-care practice or a European fertility group. It was never really shaped to the OPD-heavy, cash-heavy, WhatsApp-heavy reality of an Indian clinic or hospital.

The gap between a clinic CRM and a hospital CRM is architectural, not scalar. A clinic CRM treats a person as a contact who happens to book appointments. A hospital CRM treats the same person as a patient who generates encounters, each encounter tied to a department, a payer, a diagnosis code, and a revenue cycle. Move a 12-doctor multi-specialty clinic onto a contact-based CRM and you can still function. Move a 180-bed hospital onto one and your revenue leakage will show up before your next audit.

Two shifts have made the choice harder in the last three years. The DPDP Act 2023 gave patients enforceable rights over their health data, which reset what CRM security actually means for a Data Fiduciary. And ABDM, now well past its pilot phase, has quietly become the base layer any hospital-grade system has to interoperate with. A CRM chosen in 2023 without either in mind is already a re-implementation candidate today.

This guide is written for the buyer who has to hold that decision in one head. The hospital administrator. The group CMO. The founder-owner of a growing single-specialty chain. The marketing head asked to spec software they will have to feed leads into every single day.

The six axes that actually separate the tiers

Feature lists from vendor websites will drown you. Strip everything back and there are six axes that decide whether a CRM tier will hold up for your setup:

  • Data model and entity depth (contact-level or encounter-level)
  • Compliance surface under DPDP Act 2023 and the NMC advertising code
  • ABDM and clinical-system interoperability (HIS, LIS, RIS, PACS, pharmacy)
  • Multi-location, department hierarchy, and role-based access
  • Marketing and demand-capture integration (WhatsApp, GBP, Meta and Google Ads, IVR, call tracking)
  • Deployment model and three-year total cost of ownership

Each axis pulls the buying decision in a different direction, and it is rare that all six push you toward the same tier. Usually two or three do, and the rest are tradeoffs you have to consciously accept. Sometimes the tradeoff is temporary. Often it becomes structural, and you inherit it for the life of the platform.

Category comparison at a glance

For this guide, three category tiers are compared. No vendor names appear in the table. Each tier reflects a family of products that share a common architecture and go to market at a similar price band.

AxisTier A: DIY cloud clinic CRMTier B: Mid-market multi-clinic / ABDM-nativeTier C: Enterprise HIS/EHR-overlay CRM
Core entityContact or leadPatient with visit historyPatient with encounters, orders, and billing episodes
Typical buyer1-3 location clinic, single specialty4-20 location chain, single or twin specialty50-500 bed hospital, multi-specialty
DPDP readinessBasic consent capture, some audit logsConsent lifecycle, purpose limitation, DPO workflowFull Data Fiduciary controls, encryption at rest, 72-hour breach pipeline
ABDM interopRare, usually absentHPR and HFR registered, ABHA linkageFull HIU/HIP roles, consent artefacts, gateway integration
Clinical integrationNone, or manual EMR exportLight PMS, appointment syncHIS, LIS, RIS, PACS, pharmacy, billing engine
Multi-location modelFlat user listLocation and department hierarchyFacility, department, unit, cost-centre graph
Marketing captureWhatsApp API, GBP forms, web formsAdds IVR, call-tracking, ad platform pixelsAll of the above plus payer, referral, and corporate desk pipelines
Reporting depthLead source, funnel, WhatsApp responseLead-to-visit attribution, CPQL by sourceFull revenue-cycle attribution, LTV, physician-level margins
DeploymentSaaS, self-serve, live in a weekendSaaS with implementation support, 4-8 weeksSaaS or on-premise, 6-9 month implementation
Annual cost band (2026)Rs 60,000 to Rs 3 lakhRs 3 lakh to Rs 25 lakhRs 25 lakh to Rs 3 crore

Numbers here are commodity market bands as of 2026, not any single vendor's list price. Implementation, training, and integration costs sit on top and often equal or exceed licence fees in Tier C.

Axis-by-axis breakdown

Data model and entity depth

The single biggest architectural decision in a healthcare CRM is what a record actually means. In Tier A, the primary record is a contact or a lead. Add appointments, add WhatsApp threads, and you have a functional system for a dental clinic that runs on cash payments and Google reviews. It falls apart the moment a patient becomes an inpatient, because there is no place to store an encounter that has its own admit date, ward, treating consultant, and billing episode.

Tier B products move the primary record up one level. A patient exists as a persistent entity across visits, and each visit carries some clinical context. This is usually enough for chains running IVF, orthodontics, dermatology, or ophthalmology, where a patient journey is a series of scheduled visits and packages rather than open-ended admissions.

Tier C is where the model shifts again. The patient sits under a medical record number, and every touch, from an OP registration to an emergency visit to a corporate wellness check, generates a discrete encounter with its own status, payer, and clinical documentation. If you cannot draw your encounter diagram on a whiteboard, you probably do not need Tier C. If you can, nothing lighter will hold your data cleanly.

DPDP Act 2023 and NMC advertising compliance

The DPDP Act rewrote the compliance floor for anyone handling health data in India. Every CRM now has to answer three questions. How is consent captured and versioned. How is data minimised for each processing purpose. What happens when a patient files an erasure request.

A Tier A CRM typically bolts consent onto a form field. That is legally fragile. A regulator asking for the consent artefact behind a marketing SMS sent 14 months ago will not accept a screenshot of a form.

Tier B products, especially ABDM-native ones, treat consent as a lifecycle. There is a consent record with a version, a purpose, an expiry, and an audit trail. Purpose limitation is enforced at the query level, so a marketing user cannot pull clinical fields they were not granted access to.

Tier C adds the pieces a Data Fiduciary genuinely needs. Role-based encryption keys. Immutable audit logs that survive user deletion. Breach notification pipelines that actually meet the 72-hour clock. A documented Data Protection Officer workflow. Hospitals classified as Significant Data Fiduciaries need this and cannot get away with less.

The NMC advertising code is the other India-specific pressure. A CRM that lets a marketing user send a broadcast promising a cure or a guaranteed outcome is a compliance liability, not a marketing asset. Tier B and C systems increasingly ship with template libraries pre-vetted for NMC language. Tier A rarely does, and the burden shifts to whichever marketing agency is drafting the copy.

ABDM and clinical-system interoperability

ABDM is now the connective tissue for Indian healthcare, and any hospital-grade CRM has to speak it fluently. In practice that means registering as a Health Information User, a Health Information Provider, or both, and being able to exchange FHIR-compliant records through the consent gateway.

Tier A CRMs largely sit outside this world. That is fine for an aesthetic clinic where the CRM never touches clinical data. It becomes a problem the moment a diabetology chain wants to pull ABHA-linked history to personalise a follow-up call.

Tier B products have started to ship HPR and HFR registration workflows and can link an ABHA to a patient record. Most stop there. A gateway round-trip with consent artefact validation is often on the roadmap rather than in production.

Tier C is where full interop lives. HIS integration for admissions and discharges. LIS integration for lab results. RIS and PACS for radiology. Pharmacy integration for medication dispensing. A billing engine that can post to the general ledger and reconcile against TPA settlements. Every one of these is a separate connector, and every connector has its own failure mode. This is why enterprise CRM implementations take 6-9 months, not 6-9 weeks.

Multi-location, department hierarchy, and role-based access

Ask a vendor how their system handles a receptionist at the Andheri branch who covers the Bandra branch on Sundays and needs access to only two departments at each site. The answer will place them cleanly in a tier.

Tier A gives you a flat user list. Access is per user, per module, and you build workarounds. Fine for one location, painful at three, unusable at six.

Tier B introduces a location and department hierarchy. A user can be assigned to a location with a role scoped to specific departments and specific data fields. This is usually enough for a chain up to about 20 locations before the reporting rollups start to strain.

Tier C models facilities, departments, units, and cost centres as separate entities, because a hospital's org chart is not a tree. It is a graph. A visiting cardiologist at a tertiary hospital reports to their own department, uses the OT of another, and their revenue attributes to a third. The permission model has to hold all of that without breaking the audit trail, and without slowing the receptionist's screen down at 9 in the morning.

Marketing and demand-capture integration

Marketing surface is the axis where a marketing agency and a CRM buyer often talk past each other. From a marketing point of view, a CRM is a place where leads land, get qualified, and either convert or die. From an operations point of view, marketing leads are a small fraction of what the CRM has to hold. Both views are correct for different tiers.

A DIY clinic CRM basically is a marketing tool. WhatsApp API, GBP forms, web forms, and a light lead-scoring layer sit at the centre of the product. If a single-clinic operator is running a Rs 40,000 per month Meta Ads spend, this stack captures 90% of the value.

Mid-market chain CRMs keep the same marketing surface and add IVR, call tracking with dynamic number insertion, ad platform pixels, and campaign-level cost attribution. This is where CPQL (cost per qualified lead) starts to be a real metric instead of an estimate stitched together in a spreadsheet.

Enterprise systems bolt on pipelines that a marketing tool would never build on its own. Corporate desk contracts. TPA and payer relationships. Referral doctor networks. Camps and outreach programmes. International patient departments. Marketing becomes one channel among many, not the whole show. This is also why hospitals often run a marketing overlay alongside the enterprise CRM, because the HIS-native marketing module is usually the weakest part of the platform.

Deployment, three-year cost, and change management

The sticker price of a CRM licence is usually a small part of what a buyer actually pays over three years. A more useful frame is total cost of ownership including implementation, training, integration development, downstream tool licences, and internal opportunity cost.

Deployment and three-year TCO do not scale linearly. A DIY cloud tier gets you live in a weekend and costs mostly what you see on the pricing page; internal time to keep templates and automations current is the main hidden cost, and it is real. Once you cross into ABDM-native mid-market products, implementation and training start to account for 30-40% of the three-year total, and integration cost depends heavily on how many of your existing tools need wiring in. Enterprise HIS overlays flip the ratio entirely. The licence itself is often the smallest line item. Implementation, HIS integration, data migration, and staff training across shifts typically run 2 to 4 times the licence over the first three years. Change management alone, getting 200 nursing and admin staff to actually use the system every day, will make or break the ROI regardless of which tier or vendor you pick.

Which buyer fits which tier

Every buyer's situation is a mix, but four archetypes cover most of the Indian market and they map fairly cleanly to the three tiers.

Single-site or twin-site specialty clinic

The clearest fit for Tier A is the single-site or twin-site specialty clinic. A two-chair dental clinic in Koramangala. A single derm clinic in Salt Lake. A solo cosmetic surgery practice in Jubilee Hills. Marketing spend is Rs 25,000 to Rs 1.5 lakh a month, mostly split across GBP, Meta, and a small Google Ads budget. Cash-heavy billing, sub-100 monthly leads, no clinical interop pressure yet. Tier A is the right fit, and adding anything heavier is buying capacity you will never use.

Growing multi-clinic chain

Move up a size and you meet the growing multi-clinic chain. 4 to 20 locations, single or twin specialty, headquartered in one city and expanding into two or three more. Think an ophthalmology chain in South India, an IVF group across three metros, or a dental chain adding a location every quarter. Tier B is almost always the right answer here. Central marketing team, local operations team, reporting rolling up to a founder or CFO who wants to see CPQL by city and by campaign. Tier A stops holding by the fourth location, usually earlier if the specialties are twin.

Standalone secondary-care hospital

Standalone secondary-care hospitals, 50 to 150 beds, multi-specialty, cash-and-insurance mix, sit in the hardest decision zone. Tier B stretches. Tier C is expensive. The decision usually turns on payer mix and ABDM ambition. Heavy insurance and TPA workflow pushes you to Tier C because the reconciliation load will crush a lighter platform. A hospital that plans to be a serious HIP inside 18 months needs Tier C now, not later, because the data migration cost only gets worse the longer you wait.

Tertiary or quaternary hospital

At the top end sit the tertiary and quaternary hospitals. 200 beds and up, teaching or research affiliation, corporate contracts, international patients, complex payer mix, and the operational reality of running 24-hour departments. Tier C is the only serious answer here, and the buying decision shifts from which tier to which implementation partner and which realistic timeline. Under-investing at this scale is far more expensive than over-investing. The cost of a stalled implementation runs into crores when a 400-bed hospital tries to bill 2023 encounters on a half-configured 2026 system.

Where an agency fits into this

At ICG we sit on the buyer's side of the table, not the vendor's. Across 300+ live healthcare clients and 150+ clinics, most of what we have learnt about CRM selection is that the software is easier to change than the org chart. The biggest driver of ROI turns out to be whether the marketing and operations teams have agreed on what a qualified lead is and who owns it. The CRM tier matters, but it matters less than the internal contract.

For clinics on Tier A we help wire the CRM into Angryturtle for the Google Business Profile side, Meta Catalyst IQ for paid social, Prism Spy for competitor Meta Ads intelligence, and Prism Pulse for Instagram reporting. The CRM becomes the place where qualified leads land clean, rather than the entire marketing stack. Where a client already runs a Tier B or Tier C system, we bring Nexus CRM (Rs 14,999 per month) as a demand-side layer for marketing and lead qualification, or HealthPro 360 (Rs 14,999 per month) as an RCM and EHR overlay when the primary HIS is rigid on the billing or documentation side. YODA sits on top for the YouTube and AIO layer, which increasingly matters when patients are searching directly in AI assistants for procedure information.

None of these are traditional CRMs. They are workflow tools that make an existing CRM tier work better without forcing a re-platform decision anyone was not ready to make.

The 70-30 delivery model for connected services

For SEO retainers, Google Ads at Rs 5 lakh plus monthly spends, and YouTube or AIO retainers above Rs 50,000 a month, ICG runs a 70-30 pricing model. 70% of the fee is fixed and covers the delivery calendar, technical infrastructure, and reporting cadence. 30% is tied to a 12-month target on a sliding-scale slab, so the agency's upside is tied directly to the client's business outcome and not to activity volume.

For SEO specifically, the three published tiers are Foundation at Rs 49,999 a month, Growth at Rs 74,999 a month, and Scale at Rs 99,999 a month. The same 70-30 logic extends to paid media and video, with slab structures aligned to each channel's economics.

The reason this matters to a CRM buyer is that the reporting layer of the CRM has to be able to show whether a channel is delivering on its slab. A Tier A CRM will not carry that weight without a marketing overlay stitched in. Tier B or Tier C, wired correctly, will.

FAQ

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Is a hospital CRM just a bigger clinic CRM?

No. The difference is architectural. A clinic CRM is built around contacts and appointments. A hospital CRM is built around patients and encounters, with a compliance and integration surface that clinic products do not carry. Size is a symptom of that split, not the cause.

Can we start with a clinic CRM and upgrade later?

Sometimes, but the data migration is rarely clean. Contact-model data does not map neatly onto an encounter model, and consent records captured under a lighter framework often need to be re-collected under DPDP. If you already know an upgrade is coming, plan for a 3 to 6 month parallel-run window and budget for the historical data cleanup, not just the go-live.

What does ABDM readiness actually mean for a CRM in 2026?

At a minimum, the vendor should be registered on HPR and HFR, be able to link an ABHA to a patient record, and have a documented plan for HIU and HIP roles with consent artefact handling. Fully productionised gateway integration is still uncommon outside Tier C, and any vendor claiming otherwise is usually describing a pilot rather than a production deployment.

How does DPDP Act 2023 change CRM buying?

It moves consent, purpose limitation, and audit from features to floor requirements. A CRM that cannot produce a consent artefact on demand, or cannot fulfil an erasure request within the statutory window, is a live liability rather than a productivity tool. For Significant Data Fiduciaries the bar is higher again, and only Tier C typically clears it out of the box.

What is a reasonable CRM budget for a 60-bed hospital?

For a 60-bed hospital with an insurance-heavy mix, expect a three-year TCO in the Rs 40 to 90 lakh range for a strong Tier B with meaningful integration work, or Rs 90 lakh to Rs 2 crore for a lower-end Tier C implementation. The wide range reflects how much depends on integration scope and how many of your existing tools need custom connectors.

Do we need a separate marketing CRM if we have a hospital HIS?

Often, yes. Most HIS products treat marketing as an afterthought, and channel-level attribution is weak. A marketing-focused overlay that syncs qualified leads into the HIS is usually cheaper and cleaner than trying to force the HIS to do the job. This is precisely where a demand-side layer like Nexus CRM tends to earn its licence fee.

What is CPQL and why does it matter for the CRM decision?

CPQL is cost per qualified lead. It is the total marketing spend divided by the number of leads the operations team has actually accepted as workable, not the raw form fills. The CRM has to hold the qualification event and the marketing cost source in the same record to calculate it. Tier A can approximate. Tier B does it properly. Tier C often needs a marketing overlay to do it well, because the enterprise CRM was not designed as a marketing analytics tool.

How long should a hospital CRM implementation take?

For Tier C, plan 6 to 9 months from contract signature to production use across all departments. Anyone promising less is either pricing out the data migration, planning to hand you a half-configured system, or both. The staff training and change management line is where implementations most often quietly slip, not the software itself.

Should the marketing team or the operations team pick the CRM?

Neither, alone. The CRM is a shared asset and a shared liability. The healthiest buying process we see has a single owner who reports outside both teams, usually the CFO or the COO, with marketing and operations each holding a hard veto on their must-have features. Vendor selection driven by one team over the objections of the other tends to end in a re-platform 18 months later.

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Frequently asked

Questions readers ask
about this topic.

No. The difference is architectural. A clinic CRM is built around contacts and appointments; a hospital CRM is built around patients and encounters, with a compliance and integration surface that clinic products do not carry. Size is a symptom of that split, not the cause.

Sometimes, but the data migration is rarely clean. Contact-model data does not map neatly onto an encounter model, and consent records captured under a lighter framework often need to be re-collected under DPDP. Plan for a 3 to 6 month parallel-run window and budget for historical data cleanup.

At a minimum, the vendor should be registered on HPR and HFR, be able to link an ABHA to a patient record, and have a documented plan for HIU and HIP roles with consent artefact handling. Fully productionised gateway integration is still uncommon outside the enterprise HIS-overlay tier.

It moves consent, purpose limitation, and audit from optional features to floor requirements. A CRM that cannot produce a consent artefact on demand or fulfil an erasure request within the statutory window is a live liability. Significant Data Fiduciaries face a higher bar that only enterprise-tier CRMs typically clear out of the box.

For a 60-bed hospital with an insurance-heavy mix, expect a three-year TCO in the Rs 40 to 90 lakh range for a strong mid-market tier with meaningful integration work, or Rs 90 lakh to Rs 2 crore for a lower-end enterprise implementation. The range reflects integration scope and connector complexity.

Often, yes. Most HIS products treat marketing as an afterthought, and channel-level attribution is weak. A marketing-focused overlay that syncs qualified leads into the HIS is usually cheaper and cleaner than trying to force the HIS to handle demand capture.

CPQL is cost per qualified lead: total marketing spend divided by leads the operations team has actually accepted as workable. The CRM must hold the qualification event and the marketing cost source in the same record. DIY tiers approximate, mid-market tiers do it properly, enterprise tiers often need a marketing overlay to do it well.

For an enterprise HIS-overlay CRM, plan 6 to 9 months from contract signature to production use across all departments. Shorter promises usually price out the data migration or hand you a half-configured system. Staff training and change management is where implementations most often slip.

The CRM is a shared asset and a shared liability. The healthiest buying process has a single owner who reports outside both marketing and operations, usually the CFO or COO, with each team holding a hard veto on their must-have features. One-team selections tend to end in a re-platform inside 18 months.

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Phoenix

Revenue intelligence built over your existing PMS

If you already have a PMS — Akhil Systems, Practo, or any other — Phoenix builds the business intelligence layer on top of it without replacement. Currently live across 46 centres for a national chain.

  • Works over your existing PMS — no migration
  • Daily action queue: Prevent Loss / Maintain / Grow
  • Catches unbilled services, collection gaps, lapsing patients
  • CPQL variance ₹620–₹3,800 → ₹680–₹1,420
Explore Phoenix →
YouTube Intelligence

YODA

YouTube analytics that measures patients, not views

The only YouTube intelligence platform built for healthcare business outcomes. Connects video performance to actual consultation bookings — not views, not subscribers. Patient testimonial videos generate 6.9× more consultations per view than condition explainers.

  • Consultation attribution per video — not views
  • Demand-gap: what patients search that your channel misses
  • 50+ doctor channels tracked across India
  • AIO readiness scoring: which videos AI tools cite
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Governance & Transparency

Agency OS

Full transparency. Instant diagnosis. Zero surprises.

ICG's centralised governance platform — every client sees everything in real time, and ICG's team sees every problem the moment it surfaces. 30+ real-time alert systems fire the moment a metric drifts outside its performance envelope.

  • GSC, GA4, Google Ads, Meta Ads, IVR — one live view
  • 30+ real-time alert systems per account
  • CPQL drift alert at >15% week-on-week change
  • Client login: full transparency on your account
Explore Agency OS →
AEO & LLM Intelligence

AIO Intel

AI Overview + LLM citation tracking, healthcare-tuned

Knows the moment ChatGPT, Perplexity, Google AI Overviews and Gemini cite your brand in patient answers — and which content drove the citation. Bot-aware dashboard with GA4-registered custom dims (AIO source, AIO referrer) and IndexNow + GSC API integration.

  • Live tracking across ChatGPT / Perplexity / Google AIO / Gemini
  • Bot-aware: knows human vs scraper traffic
  • Custom GA4 dims register AIO source + referrer
  • IndexNow + GSC API: content surfaced to LLMs within hours
View AIO Intel dashboard →
Competitor Intelligence

Prism Spy

Every Meta + Google ad your competitors run, watched daily

Tracks 75+ Indian healthcare brands, 2,150+ active ads, ₹50Cr+ aggregate ad spend visibility per month. Surfaces what's working, what's been killed, what offers are emerging. Powers every ICG Meta Ads brief, Performance Marketing diagnostic, and IVF / derm / dental specialty campaign with real competitive intelligence.

  • 75+ brands tracked across 30+ healthcare specialties
  • 2,150+ active ads · daily refresh
  • Activity Feed: every spend / hook / pause logged
  • Offers Intelligence: 250+ offers in market tracked
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GBP Intelligence Platform

Angryturtle

Every Google Business Profile scored, tracked, protected, and grown from one command centre

ICG's proprietary Google Business Profile intelligence platform. Scores every listing across 7 dimensions, tracks rank on a live geo-grid across your actual service area, audits NAP + citations, monitors 531 suspension-risk factors continuously, and drafts Google Posts on cadence. Currently managing 143 healthcare listings with 0 suspensions and 4.76★ portfolio average across 28,137 reviews.

  • 143 listings under management · 0 suspensions · 4.76★
  • 7-dimension Health Score + 5-factor Rank OS per listing
  • Geo-grid rank tracking + NAP + Citation audit + Profile Shield
  • NMC + NABH + ART Act + DPDP compliance built into every content + review workflow
Explore Angryturtle →

Every ICG engagement runs on some combination of these ten HealthApex OS tools. The diagnostic determines which combination is right for your practice.

Explore HealthApex OS → See the full stack live on your account — free 30-min audit
The team behind your account

Every diagnostic is led by a founder.
You'll know their names before the engagement begins.

ICG was built by three IIT BHU engineers who entered healthcare marketing with a specific intent: to build the tools that didn't exist and run the campaigns that most agencies couldn't. When you book a diagnostic, Rohit or Abhash leads it personally. Not an account manager. Not a senior executive. The people who built what you're evaluating.

The ICG team — 60+ healthcare marketing specialists at Gurgaon HQ

60+ specialists.
One growth engine.

Performance marketers, analysts, AI engineers, content strategists, and operations specialists — all healthcare-only. Headquartered in Gurgaon since 2018.

Rohit Gupta — Leader, ICG

Rohit Gupta

Business & Growth Lead & Director

IIT BHU · IIM Rohtak

Rohit's first question in every diagnostic: "When you ask your agency why patients aren't booking — what do they say?" He says the answer tells him more than any dashboard.

Full profile →
Abhash Kumar — Leader, ICG

Abhash Kumar

Strategy & Analytics Lead & Director

IIT BHU · IIM Bangalore

Abhash built Beacon because most agencies couldn't answer one question: "Which of my campaigns generated that consultation?" He decided the problem was solvable in code. It was.

Full profile →
Deep Das — Leader, ICG

Deep Das

Technology & AI Lead & Director

IIT BHU

Deep built the 4-Bot patient lifecycle system after watching a client lose 60+ qualified leads in one week to a 6-hour WhatsApp response window. He decided the problem was solvable in code. It was.

Full profile →
Chat with a Co-Founder
Chat with a Co-Founder