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Article

The combined stack for Indian multi-specialty hospitals: PrismSpy plus Meta Catalyst IQ across 12 to 25 parallel specialty funnels, and how CMOs use both layers to reallocate budget across cardiac, oncology, IVF and ortho weekly

Multi-specialty hospital Meta ads mean running 12 to 25 specialty funnels in parallel — each with different CPL, different offer structure, different compliance perimeter. Here is how PrismSpy plus Meta Catalyst IQ becomes the CMO decision layer that keeps the whole portfolio efficient.

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Multi-specialty hospital Meta ads mean running 12 to 25 specialty funnels in parallel — each with different CPL, different offer structure, different compliance perimeter. Here is how PrismSpy plus Meta Catalyst IQ becomes the CMO decision layer that keeps the whole portfolio eff...

TL;DR

Multi-specialty hospital Meta ads mean running 12 to 25 specialty funnels in parallel — each with different CPL, different offer structure, different compliance perimeter. Here is how PrismSpy plus Meta Catalyst IQ becomes the CMO decision layer that keeps the whole portfolio efficient.

A multi-specialty hospital's Meta ads programme is fundamentally different from a single-specialty clinic's programme. Instead of one funnel, the hospital CMO is running 12 to 25 specialty funnels in parallel — cardiac at ₹3,000 to ₹4,500 CPL, oncology at ₹4,500 to ₹8,000 CPL, IVF at ₹650 to ₹2,200, ortho at ₹1,200 to ₹1,800, gynae, paediatric, neuro, gastro, uro, ENT, general surgery, transplant, and often three or four others. Each one has different economics, different competitors, different offer patterns, and often a different compliance perimeter. Running them on one blended report is why hospital Meta ad budgets look expensive relative to specialty clinics. This post lays out the hospital-specific combined stackPrismSpy as multi-cluster competitive intelligence, Meta Catalyst IQ as the Master Dashboard rollup that lets CMOs reallocate budget across specialties weekly — and how the two together compress what most hospitals treat as a quarterly budget exercise into a live weekly decision.

<a href=Meta Catalyst IQ Master Dashboard — cross-client portfolio rollup: 23 clients, ₹9.14Cr spend, 5,784 leads, blended CPL ₹1,581, CAC ₹86,253" loading="lazy" decoding="async" style="width:100%;height:auto;display:block;">
Meta Catalyst IQ · Master DashboardCross-client view: 23 clients × ₹9.14Cr Meta spend × 5,784 leads × 106 converted = ₹1,581 blended CPL, ₹86,253 blended CAC, 52.7% link rate. By-industry rollup: IVF (11 clients, ₹2.6Cr spend, ₹632 CPL), Dermatology, Hair Transplant, Skin, etc.

Why hospital Meta ads are a portfolio management problem, not a media buying problem

The single most common failure mode we see on hospital Meta accounts is that the CMO and the marketing team think of Meta ads as a media buying problem — hire a good buyer, brief them on the top three specialties, watch the CPL, tweak the creative. The problem is that Meta ads for a multi-specialty hospital is not a media buying problem. It is a portfolio management problem — where every specialty is a mini-portfolio with its own economics, and the strategic question is how to allocate a fixed monthly budget (usually ₹15 to ₹80 lakh depending on hospital size) across 15 to 25 specialty portfolios week over week based on which ones are converting profitably right now.

Media buying tools do not solve portfolio management. Ads Manager shows you the trees, not the forest. Automation tools like Madgicx and Smartly bid within a specialty but do not reallocate across specialties. What hospital CMOs need is a Master Dashboard that shows all specialty portfolios on one screen with drill-down, and a competitive intelligence layer that covers all specialty clusters simultaneously so that the reallocation decisions are made against current market context and not against last-quarter's snapshot.

How PrismSpy covers a multi-specialty hospital across 15+ clusters

PrismSpy's multi-cluster mode is how hospitals see their competitive landscape. Instead of tracking one specialty cluster of 30 to 75 brands, a hospital account tracks 12 to 25 clusters in parallel — one for each specialty the hospital actively markets on Meta. Each cluster has its own Watchlist Dashboard, Activity Feed, Comparative Insights, Offers Intelligence, and Inspirations swipe file. Aggregate the platform is tracking 300 to 800 competitor brands across all clusters for a single large hospital account.

angryturtle/01-listing-overview.png" alt="Angryturtle Listing Overview — GBP watchlist with per-listing status, category, sub-scores, action count for 143+ managed Indian healthcare listings" loading="lazy" decoding="async" style="width:100%;height:auto;display:block;">
Angryturtle · Listing OverviewEvery GBP under management surfaces in one watchlist — status · category · sub-scores · action count · trend. 143+ Indian healthcare listings managed on Angryturtle.
PrismSpy Inspirations swipe file — 4,697 ad inspirations catalogued by hook, positioning, services, problems, benefits, language, format
PrismSpy · Inspirations Swipe FileHook line, positioning angle, services covered, problems targeted, benefits highlighted. Filter by language (English / Hindi / regional), format (Image / Video / Carousel), problem, and benefit.
PrismSpy Offers Intelligence — 1,197 offers tracked, 858 active, discount intensity by brand, offer mix by service, value tier distribution
PrismSpy · Offers Intelligence1,197 offers tracked, 858 currently active, 769 new this week. Discount intensity by brand, offers by service (IVF, Hair Transplant, etc.), value tier distribution (Free / Under ₹999 / ₹1K-5K / ₹10K+).
PrismSpy Activity Feed — reverse-chronological log of every spend change, strategy shift, paused/launched campaign across tracked competitors
PrismSpy · Activity FeedEvery meaningful change in your competitive landscape — spend spike, hook mix shift, paused campaign, launched offer — logged with timestamp. Filter by event type or competitor cluster.
PrismSpy Comparative Insights — Highest Quality ads, Longest-Running creatives, Top-Scoring ads, Most Common Hooks, Emerging Offers
PrismSpy · Comparative InsightsHighest-quality ads (clinical accuracy + production value), longest-running creatives (proven converters), most common hooks in your specialty, and emerging offer bundles surfacing across the watchlist.
PrismSpy Intelligence Dashboard — competitor watchlist, Category Pulse, Top Spenders across 75+ tracked Indian healthcare brands
PrismSpy · Intelligence Dashboard75 brands watched · 873 new ads this week · 2,152 killed · 251 offers in market. Category Pulse shows format mix; Top Spenders + Most Active rank by ad investment and creative volume.

The morning scan is different at hospital scale. Rather than one strategist reading one cluster, the hospital marketing team distributes cluster ownership across three to five specialty leads. Each lead reads their cluster's overnight activity, tags anything material, and feeds it into a shared Slack channel or daily brief. The CMO reads the cross-cluster summary rather than each cluster individually. What used to require 8 to 12 hours of weekly competitor research (or, more commonly, was skipped entirely because nobody had the time) becomes 25 to 45 minutes of morning triage across the marketing team.

The most valuable single view for hospitals is cross-cluster Emerging Offers — where the platform surfaces offer patterns appearing simultaneously across multiple specialty clusters. A "free second opinion" offer emerging across cardiac, oncology, and neuro at the same week usually means one of the corporate hospital chains (Apollo, Fortis, Manipal, Max, Medanta, KIMS) has launched a coordinated national campaign. Catching that in the first week means the hospital can decide whether to counter, match, or hold — as a strategic call rather than reactive scramble.

How Meta Catalyst IQ runs the Master Dashboard for a hospital

The Master Dashboard in Meta Catalyst IQ is where a hospital CMO does portfolio management. Rows are specialties. Columns are spend, leads, qualified leads, CPL, CPQL, week-over-week delta, and hygiene status. One screen, weekly review, portfolio-level reallocation decision. The dashboard was originally built for the ICG portfolio view across 23+ client accounts and got re-purposed as the multi-specialty rollup for individual hospital clients because the pattern is structurally identical — a portfolio of sub-portfolios with different economics.

The three questions the Master Dashboard answers each week are the same. Which specialties are converting above their portfolio benchmark and should absorb reallocated budget? Which specialties are below benchmark and either need creative refresh, competitive re-diagnosis, or a temporary budget reduction? Which specialties have a hygiene issue (broken CAPI, naming conflict, saturated audience) that must be fixed before any reallocation is meaningful?

Portfolio benchmarks for the specialties a multi-specialty hospital typically runs on Meta ads: cardiac ₹3,200 CPL, oncology ₹4,500 to ₹6,500, IVF ₹650 to ₹950, ortho ₹1,400, gynae ₹800 to ₹1,200, paediatric ₹900 to ₹1,400, neuro ₹2,800 to ₹3,500, gastro ₹1,600 to ₹2,000, uro ₹1,200 to ₹1,800, ENT ₹700 to ₹1,000, general surgery ₹1,500 to ₹2,200, transplant ₹8,000+. Any specialty running more than 30 percent above its benchmark on a 30-day rolling window is a candidate for diagnostic review before further budget flows in.

The two-tool loop: intel → execution → intel

The reason single-tool Meta ads programmes plateau is that intelligence and execution live in separate rhythms. Weekly competitor scan by a strategist. Daily campaign management by a media buyer. They never fully close the loop. PrismSpy + Meta Catalyst IQ compress that into one daily rhythm inside ICG:

  1. Morning (PrismSpy) — scan overnight changes across the specialty watchlist. New offers, killed ads, spend spikes.
  2. Midday (Meta Catalyst IQ) — 2-Day Comparative + Money Wastage review. What in our own account moved, and why?
  3. Afternoon (loop) — creative brief for tomorrow's ads uses PrismSpy's Inspirations swipe file (what's working in-category) plus Catalyst's Creative Scoring (what's working for us specifically).

The output isn't more reports. It's fewer wasted rupees. ICG portfolio average: 30–50% of pre-optimisation Meta spend was waste; post-optimisation it drops to 5–12%. On multi-specialty hospital accounts specifically, Money Wastage in absolute rupees typically runs ₹4L to ₹12L monthly pre-optimisation and drops to ₹80K to ₹1.8L post.

Meta Catalyst IQ Creative Scoring Matrix — every ad classified into Core Performer, Scalable, Getting Started, or Review with recommended action
Meta Catalyst IQ · Creative Scoring Matrix4 zones: Core Performer (scale), Scalable (test scaling), Getting Started (let it learn), Review (kill or fix). Each ad scored across Hook / Hold / CTR / CPL / Result Rate.
Meta Catalyst IQ 2-Day Comparative — colour-coded day-on-day deltas across critical / scaling / opportunity dimensions per ad set
Meta Catalyst IQ · 2-Day ComparativeEach ad set tracked across 4 KPIs (newest → oldest), colour-coded green (improved) / red (worsened). Cost / creative / frequency / scaling / waste engine + Meta delivery flags. Updated daily.

The hospital compliance perimeter is heavier than any single specialty

A multi-specialty hospital's Meta ads have to sit inside every specialty's compliance perimeter simultaneously. NMC Ethics Code 2026 applies across all physician-forward creative. ASCI Guidelines 2022 govern advertising claims across specialties. DPDP Act 2023 covers all patient-identifying content. Then specialty-specific rules layer on top — ART Act 2021 for IVF, PC-PNDT Act 1994 for prenatal, DCGI for any medical device-adjacent claim, PMLA-adjacent framing for high-cost transplant packages.

The consequence is that a hospital's Meta ads compliance workload is not additive across specialties, it is multiplicative because every ad has to be checked against every applicable perimeter. Meta Catalyst IQ's Hygiene Factors checklist runs specialty-tagged compliance flags — an IVF ad has ART Act checks applied automatically, a cardiac ad has DCGI-adjacent checks applied automatically, a transplant ad has financial-claim checks applied automatically. PrismSpy's comparative view lets the hospital's compliance team benchmark their own conservatism against actual market practice across every specialty simultaneously.

The joint effect is that hospital marketing teams stop treating compliance as a separate quarterly review and start treating it as a per-ad publication check. That shift is what protects the hospital from ASCI complaints, NMC inquiries, and Meta-side ad rejections that used to eat 15 to 25 percent of ad-production capacity.

The cross-specialty budget reallocation decision — the weekly CMO call

Every Monday, the hospital marketing head or CMO makes a portfolio-level decision. Budget reallocation across specialties for the coming week. Before the combined stack, this decision was usually made monthly at best and quarterly at worst, based on last-period reports that were already stale. With the combined stack it becomes a weekly 30-minute meeting with the Master Dashboard on screen.

The decision pattern is predictable. Specialties that beat benchmark by more than 15 percent for two consecutive weeks get budget added. Specialties that underperform benchmark by more than 20 percent for two consecutive weeks get budget cut and a diagnostic queued. Specialties in a normal range (±10 percent of benchmark) hold budget. Anything anomalous (CPL swing greater than 30 percent in a week) gets a same-day root-cause investigation using the 2-Day Comparative before any budget reallocation.

The most visible effect of running this weekly rather than monthly is that specialties with sudden competitive shifts get caught early. A cardiac interventional programme where a competitor launched a new package that reset audience expectations shows up in PrismSpy's Activity Feed on day 1, in Meta Catalyst IQ's 2-Day Comparative on day 3 or 4 as CPL starts to move, and gets budget-reallocated on the following Monday rather than eight weeks later.

The 90-day path for a multi-specialty hospital onboarding

Hospital onboarding is longer than single-specialty because there is more surface to cover. Weeks one through three are inventory and hygiene. Every active campaign gets audited, every specialty gets tagged in SLC Framework, every ad set gets Naming Intelligence review — hospital accounts typically show 25 to 60 naming conflicts on first audit because different specialty teams have been operating with their own conventions for years. Beacon gets installed and calibrated to the hospital's CRM (usually Salesforce Health Cloud, or a specialised HIS like Napier, MediXcel, HealthPlix, or Practo Ray) for qualified-lead attribution.

Meta Catalyst IQ SLC Framework — ad-level period-over-period across Service / Location / Format / Content / Details dimensions
Meta Catalyst IQ · SLC FrameworkEvery ad classified across Service / Location / Format / Content / Details. Current window vs previous — colour-coded delta on Spend, Results, CPL, CPM, CTR, Hook rate, Hold rate, Result rate.
Meta Catalyst IQ Naming Intelligence — detected naming schema with findability score, name conflicts, lead-source rollup by ad set name
Meta Catalyst IQ · Naming IntelligenceDetected schema (e.g. {service}_{type}). Findability % (35% = 65% of ad sets named inconsistently). 10 name conflicts surfaced for resolution. Lead-source rollup by ad set name shows which sources are converting.

Weeks four through six are per-specialty diagnostic. Each specialty gets a Creative Scoring pass, a Money Wastage cleanup, and an Audience Size vs Efficiency verdict. PrismSpy's per-cluster watchlists get calibrated — the default 30 to 75 competitor list per specialty gets pruned or extended for local competitors specific to the hospital's city. Emerging Offers get catalogued per specialty for the first cross-competitor baseline.

Meta Catalyst IQ Audience Size vs Efficiency — broad vs narrow verdict per account, portfolio distribution by audience size
Meta Catalyst IQ · Audience Size vs EfficiencyVerdict per account ("2-10M drives the best efficiency"). Portfolio distribution by audience size (<1M / 1-10M / 10-20M / 20M+). Advantage (broad) vs Defined audiences comparison. Saturation alerts, Budget fit, Learning-exit signals.

Weeks seven through nine are creative alignment. The hospital's creative production team receives per-specialty briefs derived from PrismSpy Inspirations plus the specialty's own Core Performer signature. Because hospitals typically have in-house creative teams, the shift is process — the brief format changes to one page per specialty with explicit hook, opening frame, CTA framing, and rationale — rather than a wholesale creative team replacement.

Weeks ten through twelve are compounding and reporting layer setup. The weekly CMO review meeting starts. Portfolio CPL trajectory is reported at hospital level rather than specialty-by-specialty. The Money Wastage recovery, typically ₹6L to ₹15L per month on a mid-sized multi-specialty hospital account, becomes a line item in the marketing P&L rather than an abstract efficiency metric.

How the combined stack changes what hospital boards hear about marketing

The most under-appreciated benefit at hospital scale is that it changes the marketing conversation at the board level. Instead of the marketing head reporting "we ran ₹45 lakh in Meta ads last quarter with an average CPL of ₹2,100," the report becomes "here are our 18 specialty portfolios, here are the four that beat benchmark by 20 percent+, here are the two that need diagnostic, here is the ₹8L we recovered from Money Wastage this quarter, and here is our per-specialty CPQL trend against portfolio benchmark." That report reads like operations, not marketing. It moves marketing out of the "cost centre with fuzzy metrics" category and into the "portfolio management function with per-specialty economics" category.

For hospital groups reporting to institutional investors, private equity, or corporate parents, the reporting shift matters even more because it aligns marketing performance framing with how the rest of the business reports specialty-level economics. That alignment is often what unlocks additional marketing budget in subsequent quarters.

Powered by PrismSpy — every competitor Meta ad, watched daily

ICG built PrismSpy because Indian healthcare Meta ad competition is invisible without it. 75+ Indian healthcare brands tracked, 2,150+ active ads catalogued, ₹50Cr+ aggregate ad spend visibility per month. For multi-specialty hospitals, PrismSpy runs in multi-cluster mode — 12 to 25 specialty clusters tracked simultaneously, 300 to 800 aggregate competitor brands per hospital account, cross-cluster Emerging Offers surfacing coordinated national campaigns from the corporate chains.

  • Multi-cluster Watchlist Dashboard — one cluster per active specialty, distributed ownership across the marketing team.
  • Cross-cluster Comparative Insights — patterns visible across specialties that no single-specialty view would surface.
  • Offers Intelligence — 1,197 offers tracked across the platform, filterable by specialty cluster for benchmark and hospital-specific offer strategy.
  • Corporate chain surveillance — Apollo, Fortis, Manipal, Max, Medanta, Aster, Narayana, KIMS all tracked as multi-specialty competitors with campaign-level visibility.

Standalone from ₹4,999/- per specialty vertical (hospitals typically use multi-cluster licences), or bundled free inside HealthApex OS (₹14,999/- flat, 9 tools). Book a 30-min PrismSpy walkthrough on WhatsApp — Rohit + Hanuman walk you through the multi-specialty competitive landscape for your city.

Powered by Meta Catalyst IQ — the decision engine behind every Meta ad ICG runs

ICG built Meta Catalyst IQ because most Indian healthcare brands running Meta ads waste 30–50% of budget without knowing it. It's the diagnosis + decision layer above Ads Manager — Hygiene Factors 12-point checklist, Naming Intelligence (surfaces conflicts costing ₹50K–₹2L/account/month), Creative Scoring Matrix (Core Performer / Scalable / Getting Started / Review), 2-Day Comparative, SLC Framework, Money Wastage column in ₹. For multi-specialty hospitals specifically, the Master Dashboard rollup by industry becomes the CMO's primary portfolio management view.

  • Master Dashboard — cross-specialty rollup, per-specialty CPL and CPQL against benchmark, week-over-week delta, hygiene status.
  • Diagnose → Optimise → Grow — daily hygiene checks, weekly creative scoring per specialty, monthly money wastage cleanup.
  • CPQL Engine — cost per qualified lead at ad-set level, aggregated at specialty level for portfolio decisions. Try the interactive CPQL calculator.
  • Portfolio benchmarks — cardiac ₹3,200, oncology ₹4,500-6,500, IVF ₹650-950, ortho ₹1,400, gynae ₹800-1,200, and 15+ other specialty benchmarks.

Included free with every ICG Meta ads or Performance Marketing engagement (Starter ₹20,000/-/month tier and above, though hospital-scale engagements typically start at ₹1,00,000+ per month reflecting the multi-specialty scope). Not sold standalone. Book a free 48-hour Meta ad diagnostic or WhatsApp us.

FAQ

Does the combined stack work if our hospital only runs Meta ads on three or four specialties?

Yes. Multi-specialty is the more complex case, so a hospital running four specialties gets an easier version of the same stack. The Master Dashboard still runs as a four-row portfolio view. PrismSpy still tracks four clusters. The 2-Day Comparative works at any specialty count.

Can we integrate this with our HIS / hospital CRM?

Yes. Beacon (ICG's Meta CAPI attribution engine) integrates with the common Indian HIS platforms — Napier, MediXcel, HealthPlix, Practo Ray, Medixcel — and with Salesforce Health Cloud and hospital-specific ServiceNow builds. The integration is what makes CPQL rather than CPL the reporting metric.

What happens when a new specialty is added to the hospital's marketing scope?

PrismSpy's cluster catalogue covers 30+ specialties so the new cluster is usually available on day one. Meta Catalyst IQ's SLC Framework accepts new specialty tags without configuration. Onboarding a new specialty into an existing hospital account takes 5 to 10 days rather than the 12-week full onboarding cycle.

How do we handle physicians who do not want to appear in Meta ads?

Specialty-tagged campaigns can run without individual physician creative — using clinical educational content, procedure explainers, or hospital-brand-forward creative. The Creative Scoring Matrix scores physician-forward and non-physician-forward creative separately so the CMO can see the CPL delta and decide the trade-off consciously.

What is the largest Money Wastage recovery you have seen on a hospital account?

The largest single-month recovery on an ICG hospital account was ₹18.4L, on a 14-specialty account where the initial audit surfaced 47 naming conflicts, 4 broken CAPI events across specialties, and 22 fatigued creatives that had not been killed. That is an outlier; typical monthly recovery on a mid-sized hospital account is ₹6L to ₹12L.

Do the specialty benchmarks (cardiac ₹3,200, IVF ₹650, etc.) apply nationally?

The benchmarks are blended across the ICG portfolio which weights toward metro-tier hospitals. Tier 2 and tier 3 city hospitals typically run 20 to 35 percent below these benchmarks on lower-competition specialties (ortho, gynae) and 10 to 20 percent below on higher-competition specialties (cardiac, oncology). Tier 1 metros with dense competition can run above benchmark.

Can we run the combined stack alongside our existing Meta ad agency?

PrismSpy standalone yes, absolutely. Meta Catalyst IQ requires the ICG execution team. Some hospitals run PrismSpy alone as their competitive intelligence layer while their existing agency continues execution — the two-tool integration then does not happen but the intelligence value alone is worth the standalone licence for many hospitals.

Reference — National Medical Commission for physician promotion framing, and Directorate General of Health Services for hospital-side regulatory context.

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  • 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