Healthcare Pharma & Life Sciences Other Industries
All Services Performance Marketing ChatGPT Ads India · NEW Social Media Marketing SEO & AEO / LLM YouTube Marketing LLM Optimization Brand & Growth Consulting AI Solutions Industries We Serve
Enterprise Hub · All Solutions + Services Growth Transformation AI Transformation Revenue Operations Fractional CGO Growth Operating System Executive Growth Advisory
Clinic Launch Programme (Hub) NABH Consulting India Healthcare Brand Launch Clinic SOP Creation Logo Design (Healthcare) Brand Book Creation Clinic Launch Marketing D2C Brand Launch Clinic Interior Design
Workforce Hub For Employers — post a requirement For Professionals — register Public Openings Training Academy AI Training Flagship
Hawk · CRM Intelligence (NEW) YODA · YouTube Intelligence Angryturtle · GBP Intelligence (NEW) Prism Pulse · Instagram Analytics (NEW) Beacon · Attribution Agency OS · Dashboards Phoenix · Clinic Revenue HealthPro 360 · PMS/HMS AI Patient Lifecycle Bots AI Lead Management System Smart Appointment System Healthcare CRM Patient Feedback System AI, Analytics & Automation Digital Transformation Calculators Free Digital Health Audit →
All 13 calculators → 🎯 Business Exploration Matrix (New) Dental Clinic Setup IVF Clinic + Lab Setup Multi-Specialty Hospital Setup Aesthetic / Cosmetology Clinic Dermatology Clinic Setup Generic Clinic Setup Physiotherapy Clinic Setup Diagnostic Centre Setup CAC Calculator CPQL Calculator Franchise ROI Calculator Revenue Leakage Calculator CRM ROI Calculator
All Events Workshop 1 · Jun 13 · AI in Clinical Practice Workshop 2 · Jun 27–28 · AI in Growth & Governance Hospital Ops Workshop · Jul 12 Pre-Summit Seminar · Aug 16 Grand Summit 2.0 · Oct 10–11 Bihar AI Summit · Recap AI Innovation Awards · Aug 22 Grand Summit 2.0 · Oct 2026 Aarambh 2026 Recap
Case Studies Insights & Blog Research Reports Calculators AI in Healthcare Digest
Our Story Leaders @ Ichelon · IN · US · AU Ichelon India · Gurgaon Ichelon Global · Dallas, TX Ichelon Australia · Sydney Speakers & Panelists Client Elevation Programme 🤝 Partner Connect 🇦🇪 ICG UAE Careers
Book a Growth Diagnostic
We Do It Right. The right diagnosis. The right strategy. The right systems. Giving healthcare leaders the confidence to make better decisions, build stronger operations, and achieve sustainable growth. — Team Ichelon
Trusted by 150+ healthcare & life-sciences brands
Johnson & Johnson
Mankind Pharma
Adonis Phyto
Narang Biotec
Medanta
Redcliffe Labs
Sitaram Bhartia
Metro Hospitals
Tulasi Hospital
Bloom IVF
Milann
Prime IVF
MedLinks
Handa
Bhardwaj
Eye Q
Johnson & Johnson
Mankind Pharma
Adonis Phyto
Narang Biotec
Medanta
Redcliffe Labs
Sitaram Bhartia
Metro Hospitals
Tulasi Hospital
Bloom IVF
Milann
Prime IVF
MedLinks
Handa
Bhardwaj
Eye Q
Johnson & Johnson
Mankind Pharma
Adonis Phyto
Narang Biotec
Medanta
Redcliffe Labs
Sitaram Bhartia
Metro Hospitals
Tulasi Hospital
Bloom IVF
Milann
Prime IVF
MedLinks
Handa
Bhardwaj
Eye Q
Article

Meta CAPI for Healthcare Ads in India: 2026 Implementation Guide

Meta CAPI closes the 30-45% attribution gap Indian healthcare campaigns lose to iOS, ad-blockers, and offline conversions — but only if you hash right, respect DPDP, and send the right events. Here is the implementation playbook.

ICG Editorial · · · 10 min read
Book a free 30-min Diagnostic Chat on WhatsApp

No pitch. Written root-cause diagnosis. AI-powered, healthcare only.

Editorial standards: This article was reviewed by the ICG Editorial Review Board for NMC Section 6 compliance, Schedule J screening, DPDP privacy, and source verification before publication. · Our editorial process →
ICG · AI-Powered Healthcare-Only Marketing Agency
Why are your CPQL numbers stuck? Talk to the team behind 150+ healthcare brands.
30-minute free diagnostic. Written, not pitched. CPQL benchmarks for your specialty, on the call.

Direct answer

Meta CAPI closes the 30-45% attribution gap Indian healthcare campaigns lose to iOS, ad-blockers, and offline conversions — but only if you hash right, respect DPDP, and send the right events. Here is the implementation playbook.

TL;DR

Meta CAPI closes the 30-45% attribution gap Indian healthcare campaigns lose to iOS, ad-blockers, and offline conversions — but only if you hash right, respect DPDP, and send the right events. Here is the implementation playbook.

TL;DR

  • Meta CAPI (Conversions API) sends healthcare ad conversions server-side, which fixes the tracking gaps iOS updates and cookie blockers created for the browser Pixel. Hospitals in India that run it correctly recover 30-45% of previously lost signal.
  • Under the DPDP Act 2023, health data is sensitive personal data. You must hash all PII (SHA-256), get explicit consent, and never send raw diagnosis names or ABDM Health IDs to Meta.
  • Setup for a mid-size Indian clinic chain takes 2-4 weeks. Budget Rs 40,000-90,000 in one-time integration work plus monthly attribution engineering as part of a Growth or Scale retainer.
  • Event Match Quality is the KPI to watch. Below 6 and Meta is guessing. Above 7.8 and cost-per-qualified-lead typically drops 25-40% on the same spend.

Table of contents

Why this matters for Indian healthcare marketers

Every hospital marketing head we speak with in Bangalore, Mumbai, and Delhi is quietly bleeding attribution. The Meta Pixel used to be enough. It is not, not since 2021, and definitely not now that Chrome is rolling out its own tracking prevention.

Here is what it looks like inside a Business Manager dashboard. A Rs 6 lakh monthly IVF campaign shows 42 conversions in Ads Manager. The clinic's CRM shows 71 booked consults from the same campaign, sourced through call-tracking and form UTMs. Meta's optimisation engine only sees the 42. It spends the next month feeding lookalike audiences that skew toward the wrong intent, cost-per-lead climbs 30 percent, and the ops team blames "audience fatigue".

The gap is not fatigue. The gap is signal. Meta CAPI is how you close it.

For Indian healthcare specifically, the stakes are sharper than most verticals. Lead volumes are lower than e-commerce, and a single missed booked-consult event for a dental implant enquiry represents Rs 80,000 to Rs 1.5 lakh of lifetime revenue. With the DPDP Act now enforceable and NMC guidelines tightening on patient data handling, the old "just fire the Pixel and forget it" approach is a compliance liability, not only an attribution problem.

What is Meta CAPI and why does it matter for healthcare ads in India?

Meta CAPI (Conversions API) is a server-to-server pipeline that sends conversion events from your own servers directly to Meta, instead of relying on the browser Pixel. For a healthcare business in India this means Meta learns about booked consults, WhatsApp enquiries, and paid deposits even when the patient blocks cookies, uses iOS 17+, or completes the last step offline at your clinic.

The Pixel runs client-side. It fires from the visitor's browser, which means it is at the mercy of ad-blockers, privacy modes, browser vendors, and mobile OS restrictions. Roughly 35 to 50 percent of healthcare landing-page traffic in India runs on iPhones (higher in Tier-1 metros), and Apple's App Tracking Transparency framework has been stripping Pixel signal since 2021.

CAPI does not care about any of that. When a lead form fills on your site, your server hashes the identifiers, packages the event, and posts it directly to Meta's API. Match rates for correctly-implemented CAPI setups in Indian healthcare typically land between 72 and 84 percent, versus 38 to 55 percent for Pixel-only. That delta is the difference between an algorithm that finds more of your best patients and one that keeps burning budget on the wrong lookalikes.

How does Meta CAPI differ from the Meta Pixel for healthcare clinics?

Pixel is a JavaScript tag in the browser. CAPI is a server-side webhook. Pixel signals get lost to blockers and iOS restrictions. CAPI signals get through. In practice, healthcare clinics run both together and deduplicate events with a shared event_id.

The practical differences

  • Reliability. Pixel drops 20-45% of events on iOS. CAPI never touches the browser.
  • Data control. CAPI lets you decide exactly what leaves your servers. Pixel sends whatever the tag captures.
  • Offline events. A patient books via phone or walks in from your Google Business Profile listing. Only CAPI can attribute that back to Meta.
  • Match quality. CAPI lets you send hashed phone, email, external ID, city, state, and even IP. The Pixel is stuck with cookie signal.

Why "both, not either"

Meta explicitly recommends running Pixel and CAPI in parallel for the same event, with a shared event_id so its systems deduplicate cleanly. Skip the Pixel entirely and you lose browser-level intent signals like page scroll depth, video views on your landing page, and micro-conversions. Skip CAPI and you lose 30 to 40 percent of your real conversions. Healthcare marketers who understand this ship faster and scale spend without lifting CPQL.

Which healthcare events should you send through Meta CAPI?

For an Indian hospital or clinic, the priority events are Lead (form fill), Contact (WhatsApp click or call), Schedule (appointment booked in your CRM), Purchase (deposit or full payment), and CompleteRegistration (patient onboarded post-visit). Sending only "Lead" is the most common mistake we see, and it is the biggest single reason healthcare campaigns underperform.

Event mapping for healthcare

Business actionMeta standard eventTypical value to pass
Lead form submittedLeadRs 300-500 (avg qualified-lead value)
WhatsApp clickContactRs 150-250
Consult booked in CRMScheduleRs 2,500-8,000
Deposit or package paidPurchaseActual amount, in INR
Patient registered post-visitCompleteRegistrationEstimated LTV

The trick most agencies miss: pass real INR values, not placeholder "1"s. Meta's bidding system uses value-based optimisation, and a Schedule event worth Rs 8,000 pushes the algorithm toward higher-intent audiences than one worth Rs 1. For a Hyderabad IVF chain we work with, switching from placeholder values to real CRM-sourced Schedule values dropped their CPQL from Rs 1,940 to Rs 1,180 over an eight-week window. Same creative, same budget, better signal.

How do you implement Meta CAPI without violating DPDP Act and NMC rules?

Under India's DPDP Act 2023, health data is classified as sensitive personal data and requires explicit, informed, and revocable consent before any processing. For Meta CAPI, this means hashing all identifiers with SHA-256 before they leave your server, never transmitting diagnosis or condition-level fields, and logging consent alongside every event.

What you must hash before sending

  • Phone number (formatted to E.164 as +91XXXXXXXXXX, then SHA-256)
  • Email address (lowercased, trimmed, then SHA-256)
  • First name and last name (lowercased, then SHA-256)
  • City and state (lowercased, then SHA-256)
  • External ID, meaning your internal patient ID (hashed)

What you must never send

  • Diagnosis names, ICD codes, or condition strings (violates both NMC guidelines and DPDP)
  • ABDM Health IDs (governed separately under the ABDM Data Protection Framework)
  • Raw, unhashed PII of any kind
  • Prescription content, clinical notes, or lab result identifiers

The NMC Telemedicine Practice Guidelines and the Clinical Establishments Act both reinforce that patient identifiers cannot be shared with third-party advertising platforms without unambiguous consent. In practical terms, your consent banner needs a separate "marketing analytics" toggle, distinct from the general cookie consent, and your CAPI dispatch code needs to check that flag on every single send.

Miss this and DPDP penalties can climb to Rs 250 crore for a significant data breach involving health data. The compliance overhead of CAPI done right is not optional. It is the price of running Meta Ads for a healthcare brand in India in 2026.

What is the setup cost and timeline for a hospital in India?

A mid-size Indian clinic chain typically ships production-grade Meta CAPI in 2 to 4 weeks. One-time integration work runs Rs 40,000 to Rs 90,000 depending on CRM complexity, and ongoing attribution engineering gets bundled into a Growth or Scale retainer. Enterprise hospital groups with legacy HIS or HMS systems can stretch to 6-10 weeks.

What the 2-4 week timeline covers

  1. Week 1. Event taxonomy design. Map every business action (form fill, WhatsApp tap, phone call, deposit, walk-in) to a Meta standard event with a real INR value tied to it.
  2. Week 2. Server-side integration. Stand up the CAPI dispatcher, either as a webhook from your CRM, a Google Tag Manager server container, or Meta's Business Extension for supported CMS platforms.
  3. Week 3. Deduplication and match-quality tuning. Wire event_id sharing between Pixel and CAPI, hash all PII correctly, and confirm match rate above 70 percent in Events Manager.
  4. Week 4. Consent architecture, DPDP audit trail, and value-based optimisation switch-on inside Ads Manager.

Where hospitals stall

The most common blocker is the CRM itself. If your intake data lives in three places (a shared WhatsApp inbox, a front-desk register, an ERP module) with no central event bus, CAPI becomes an integration project before it becomes a media project. This is why we typically pair CAPI implementation with Nexus CRM, our Rs 14,999/mo healthcare-specific CRM that ships with a CAPI-ready webhook layer out of the box. Clinics already running HealthPro 360 for their RCM/EHR overlay get the same event bus wired straight through their existing patient records.

How do you measure and improve event match quality?

Event Match Quality (EMQ) is Meta's 1-10 score for how well your events attribute to real users. For Indian healthcare, target EMQ 7.5 or higher on every priority event. Below 6 and your CAPI is technically running but delivering little real uplift. Above 8 and your cost-per-qualified-lead drops materially, often within four to six weeks.

The four levers

  • Send more parameters. Phone plus email plus name plus city plus external ID beats phone alone by a wide margin.
  • Hash correctly. Trim whitespace, lowercase, format phone to E.164 with country code, then hash. Rushed hashing is the biggest source of low EMQ scores.
  • Fire on the real event. A Schedule event should fire when the CRM marks the booking confirmed, not when the form is submitted.
  • Deduplicate cleanly. Pass an event_id shared between Pixel and CAPI, and keep event_time within 5 seconds across both surfaces.

The clinics that scale ad spend past Rs 15-20 lakh a month in India almost universally have EMQ above 7.8 across their priority events. It is not a nice-to-have. It is the leverage point that decides whether the next lakh of spend compounds or leaks.

How does ICG approach Meta CAPI for healthcare?

ICG treats Meta CAPI as one layer inside a broader attribution stack, not as a standalone project. Our Meta Catalyst IQ engine ships with a pre-built healthcare event taxonomy, a DPDP-compliant hashing library, and a match-quality monitor that alerts our media team if EMQ drops below 7 on any priority event across any client account.

We pair CAPI with Prism Spy, our competitor Meta Ads intelligence tool, so healthcare marketers can see not only their own conversion signal but which creative angles and audiences competing clinics in their city are actively testing. When a Kolkata dental group knows three competing chains are testing "same-day implant" hooks, they get to CAPI-optimise around better angles instead of copying the crowd late.

The stack extends outward. Angryturtle handles Google Business Profile signal, so offline walk-ins from Maps get attributed back to Meta via CRM sync. YODA handles YouTube, so video-view retargeting audiences pass through CAPI cleanly rather than getting stripped by browser cookie blocks. Prism Pulse handles the Instagram side, feeding organic content-performance data back into paid audience design. Every healthcare client on our Growth or Scale retainer gets this whole stack wired to one event bus, one hashing library, one consent flag.

The 70-30 pricing model

ICG's healthcare Meta Ads engagements sit inside our 70-30 fixed-variable model. Foundation at Rs 49,999/month, Growth at Rs 74,999/month, and Scale at Rs 99,999/month cover 70 percent of the fee as fixed retainer, with the remaining 30 percent tied to a 12-month qualified-lead or booked-revenue target on a sliding scale. CAPI implementation, match-quality monitoring, and DPDP compliance sit inside the fixed portion. The variable portion holds us accountable to the actual attribution gains the CAPI setup delivers over the year, so we do not get paid the full fee if the signal work does not translate into real booked patients.

That structure changes the incentive shape. Most agencies bill for CAPI setup as a one-time project and then never revisit it. We can only earn the variable slab if EMQ stays high, event volume grows, and CPQL actually falls. It is the model that lets us tell hospital marketing heads to hold us to the number.

FAQ

Meta Catalyst IQ SLC Framework view scoring Meta Ads accounts across Setup, Learning and Compounding phases with per-phase health metrics
Meta Catalyst IQ · SLC FrameworkSetup · Learning · Compounding phase scoring per account. Diagnoses whether a plateau is a setup problem or a compounding failure.
Prism Pulse Programming view mapping content pillars to Instagram KPIs with a do-more and do-less recommendation matrix for a healthcare account
Prism Pulse · ProgrammingService and theme pillars mapped to Instagram KPIs · Do-more / Do-less matrix based on 90-day performance. Turns analytics into a production brief.
PrismSpy Activity Feed logging every spend change, strategy shift and paused or launched campaign across competitor brands in reverse-chronological order
PrismSpy · Activity FeedEvery meaningful change in your competitive landscape — spend spike, hook mix shift, paused, launched — timestamped.
YODA Audience Intelligence report on age, gender, geography, watch-time bands and device split for the channel audience
YODA · Audience IntelligenceAge, gender, geography, watch-time bands, device split for the channel audience. Signals which audiences are compounding vs one-time visitors.
Angryturtle Risk Factors audit flagging GBP policy triggers before Google suspends the listing
Angryturtle · Suspension-Risk AuditContinuous risk-factor audit flags GBP policy triggers before Google acts. 143+ managed listings, zero suspensions to date.

Below are the questions Indian healthcare marketing teams ask us most often when scoping a Meta CAPI implementation.

Ready to move?

Book a free 30-minute Brand & Growth Diagnostic.

It's a working session, not a sales pitch — you leave with a written root-cause analysis you can act on, whether or not you engage ICG.

Frequently asked

Questions readers ask
about this topic.

Meta does not legally mandate CAPI, but Indian healthcare campaigns running Pixel-only in 2026 typically lose 30-45 percent of their real conversion signal to iOS restrictions and browser blockers. For any hospital spending above Rs 3-4 lakh a month on Meta Ads, CAPI is effectively table stakes. Below that spend level, focus on getting your event taxonomy right first.

Yes. WhatsApp click events fire from the browser, but the actual conversation (and any subsequent booking) happens inside WhatsApp Business, which is invisible to the Pixel. CAPI lets you fire a Contact event when the click happens and a Schedule event when your CRM logs the appointment, closing the loop for click-to-WhatsApp campaigns that are otherwise almost impossible to attribute.

Technically yes, but you will only be able to send early-funnel events like Lead and Contact. To send Schedule and Purchase events (which drive the biggest CPQL improvements), you need a system that knows when the booking is confirmed and when payment is received. For most Indian clinics, standing up a healthcare-fit CRM is a prerequisite to getting real CAPI value.

Match Quality typically stabilises in 10-14 days once events are firing correctly. Value-based bidding needs 50-100 conversions per event per week to exit the learning phase. In our client accounts, meaningful CPQL improvements (15-30 percent reduction) show up between weeks 4 and 8 after go-live, with the full compounding effect visible around month 3.

Yes. Sending any patient identifier to Meta without explicit, informed, revocable consent for marketing analytics is a DPDP breach, hashed or not. The hashing protects the data in transit and at rest with Meta, but it does not substitute for consent. Your consent architecture must have a separate marketing-analytics toggle and your CAPI dispatcher must check it on every send.

For Indian healthcare, target EMQ 7.5 or higher on Lead and Contact events, and 8.0 or higher on Schedule and Purchase events. Below 6, your CAPI is running but Meta cannot reliably match your events to users, so you get little algorithmic uplift. Above 8, cost-per-qualified-lead typically drops 25-40 percent versus a Pixel-only baseline on the same creative and budget.

Yes, run both. Meta officially recommends parallel Pixel and CAPI implementations with a shared event_id for deduplication. The Pixel captures browser-level micro-signals (scroll depth, video views, form-field interactions) that never reach your server and therefore never reach CAPI. Removing the Pixel entirely gives up useful audience-building signal even after CAPI is live.

Trusted by

Healthcare brands
that already run on ICG.

A representative slice of the 150+ healthcare brands ICG has delivered for across India. Most engagements remain under NDA.

Read full client case studies →

Client video stories

What ICG clients say · on video.

Dr. Samyak Dhawan
Co-Founder, Kayakalp Global · Kayakalp Global (D2C Derma)

"Scale up of organic channels and business consulting. ICG has absolute domain authority in their field."

Dr. Nishi Singh
Founder, Prime IVF · Prime IVF · Gurgaon

"Working with ICG transformed how we acquire IVF patients in Gurgaon. They understand the fertility journey from inquiry to consult..."

Dr. Prerna Taneja
Founder, Clinic Eximus · Clinic Eximus · Delhi

"What Ichelon accomplished — they got all my ideas and worked over 3-4 months to create an amazing, super-customised website."

See all client video testimonials →
Healthcare growth services · explore the stack

Need help operationalising this?

Every ICG service is healthcare-only, NMC + DPDP-aware, and built around the patient-research patterns that drive Indian healthcare growth in 2026.

Healthcare SEO Healthcare PPC Meta Ads Content Marketing Local SEO + GMB AI Overview (AIO) Healthcare Branding Website Development YouTube Marketing

Stop guessing.
Book a Diagnostic.

30 minutes. Free. With the AI-powered healthcare-only marketing agency 150+ brands already run on. No slides, no pitch, no hard close.

The ICG technology stack

Nine tools. One compounding system. HealthApex OS
Built in-house. Deployed in every engagement.

ICG's results are reproducible because they are built on proprietary infrastructure — not agency intuition or generic tools. These nine HealthApex OS platforms are what power every ICG engagement.

Healthcare CRM

Nexus CRM

Healthcare CRM & Lead Management

ICG's healthcare-specific CRM and lead management system. Specialty-configured funnel stages for IVF, dental, aesthetic, ortho, hospital OPD. 1-click CAPI + GCLID via Beacon. Hawk intelligence built in. DPDP-compliant by architecture. Deployed across 300+ healthcare centres.

  • Specialty-specific funnel stages, not generic SaaS pipeline
  • 1-click CAPI + GCLID via Beacon attribution
  • Telecaller leaderboard + adherence scoring native
  • DPDP Act 2023 compliant by architecture
Explore Nexus CRM →
Business Layer

Hawk

CRM Intelligence & Lead-Ops MIS

Sits as the business intelligence layer above your CRM — Nexus, Salesforce, LeadSquared, HubSpot, Zoho, or any custom CRM. Shows where leads are leaking, which effort is wasted, and which good leads were quietly downgraded by automation — not by a human decision.

  • Sits above your existing LMS — no replacement
  • 83% of effort goes to dead leads — surfaced Day 1
  • ~75% qualified-lead downgrades by automation
  • Free Lead-Leak Audit in 48 hours
Explore Hawk + free audit →
Attribution Core

Beacon

Attribution Engine & CAPI Middleware

Sits at the centre of every ICG attribution architecture. CAPI middleware connecting Meta Ads, Google Ads, WhatsApp and IVR to your CRM. Lifts Event Match Quality from 2.5 to 6+, reducing CPM 30–40% from the same budget.

  • Server-side CAPI — bypasses iOS privacy changes
  • EMQ 2.5 → 6+ across portfolio
  • 30–40% CPM reduction from EMQ lift alone
  • Multi-touch: ad → consultation → revenue
Explore Beacon →
Practice Management

HealthPro 360

PMS with built-in revenue intelligence layer

The only PMS that tracks cross-sell and up-sell opportunities within your existing patient base. 12 modules covering OPD, IPD, Pharmacy, Labs, Billing, Inventory, Patient Portal, Smart Scheduling, RBAC, AES-256 encrypted storage.

  • Only PMS with built-in Revenue Intelligence
  • Cross-sell signal tracking within existing patients
  • 12 modules: OPD, IPD, Pharmacy, Labs, Billing+
  • Audit trails + RBAC + AES-256 encryption
Explore HealthPro 360 →
Revenue Layer

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
Explore YODA →
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
Explore Prism Spy →
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