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Article

Paid Search vs Paid Social for Indian Healthcare: A Buyer Framework

A neutral, category-based comparison of paid search, paid social, and paid video for Indian healthcare marketing directors in 2026. Eight axes, three tiers, four buyer archetypes, zero vendor pitches.

ICG Editorial · · · 16 min read
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A neutral, category-based comparison of paid search, paid social, and paid video for Indian healthcare marketing directors in 2026. Eight axes, three tiers, four buyer archetypes, zero vendor pitches.

TL;DR

A neutral, category-based comparison of paid search, paid social, and paid video for Indian healthcare marketing directors in 2026. Eight axes, three tiers, four buyer archetypes, zero vendor pitches.

By Raman Soni, Paid Media Lead, ICG. Updated August 2026.

TL;DR

  • Paid Search captures existing demand. Someone typing IVF centre in Gurgaon with success rate above 60 percent is ready to enquire in minutes. Paid Social manufactures demand from scroll behaviour. Someone who wasn't planning a consultation today books after seeing three reels this week.
  • For Indian healthcare in 2026, no clinic or hospital should treat this as an either-or decision. The right mix depends on procedure type, ticket size, and how much your service is Googled versus Instagrammed.
  • Paid Search wins on CPQL for high-intent categories with clean symptom keywords: piles, orthopaedics, cataract, root canal, gallbladder, kidney stone. Paid Social wins on scale for elective, aesthetic, and lifestyle categories: veneers, hair transplant, IVF, cosmetic dermatology.
  • The DPDP Act 2023 and NMC advertising ethics have tightened creative approval cycles on both channels. Paid Social carries higher compliance risk because platform-level healthcare policies stack on top of Indian regulation.
  • The single biggest mistake we see at ICG across 300+ live healthcare clients: judging each channel on its last-click ROAS in isolation, instead of on its role in the funnel. Fix that measurement error first, before switching agencies or shifting budgets.

Table of Contents

Why this comparison matters for Indian healthcare buyers in 2026

If you run marketing for a 100-bed hospital in Faridabad, a five-chair dental clinic in Indiranagar, or a mid-tier IVF chain across three metros, you've already had this argument at least once. Your consultant says paid search is dying. Your paid social vendor promises 4X ROAS on reels. Your CFO wants CPQL under Rs 400. Your medical director wants to know why a before-after ad got rejected for the third time this quarter.

That argument is not going away. Google searches for medical procedures in India have flattened in some categories, general physician queries are one, routine dental is another, while Meta's Reels inventory has become the default first exposure for aesthetic, IVF, dermatology, and paediatric specialities. YouTube long-form has quietly turned into where Indian patients research success rates and doctor bedside manner before making a choice. Each of these surfaces is a different buying moment. Each has different economics.

The Digital Personal Data Protection Act 2023 has also changed the calculus. Consent-based lead capture, purpose limitation for medical data, and cross-border transfer restrictions are no longer paperwork problems, they are creative-brief problems. NMC's 2023 Registered Medical Practitioner ethics regulations added another layer, especially around testimonial ads and outcome claims. ASCI's guidelines for advertisers using digital media apply across both channels but bite harder on paid social because the format invites emotional storytelling and dramatic transformations.

This piece is a buyer framework, not a pitch. We compare paid search, paid social, and paid video as three category tiers, evaluate them on eight practical axes, and finish with archetype-based recommendations. No named platforms beyond the obvious ecosystem players, no vendor endorsements, no hidden agenda.

The eight axes to compare paid search and paid social on

Before you commit another rupee to either channel, decide how you'll judge them. These are the axes we use inside ICG on every new healthcare account, whether it's a solo aesthetic clinic or a 400-bed multi-speciality.

  • Buyer intent moment — is your patient searching for a solution, or being introduced to one?
  • Cost per qualified lead (CPQL) — not raw form-fills, qualified leads that reach OPD or a paid virtual consult.
  • Compliance and creative approval risk — DPDP consent, NMC ethics, ASCI code, plus category-specific rules like PCPNDT for radiology, DCI for dental, MTP for gynaecology.
  • Creative production tempo — how many new assets does the channel need per week to avoid fatigue?
  • Attribution model complexity — can your CRM tie each rupee back to an OPD footfall or admission?
  • Speed to first qualified lead — how fast does the channel ramp from Day 1 to steady state?
  • Budget floor for statistical significance — the minimum monthly spend below which the channel is a lottery, not a system.
  • Long-term brand equity versus short-term footfall — the compounding effect on branded search volume and word-of-mouth referrals.

Main comparison table across three category tiers

We compare three category tiers rather than two, because paid video (pre-roll, Reels, Shorts) now behaves distinctly from either search or feed-based social. Treating video as a subset of paid social underrates its depth for high-consideration categories like IVF, cardiac surgery, and oncology, where patients watch 20-minute doctor explainers before enquiring.

Axis Paid Search (intent capture) Paid Social feed (demand creation) Paid Video (consideration deepening)
Buyer intent moment High. Patient has already Googled a symptom or procedure. Low to mid. Patient is scrolling, not searching. Mid to high. Patient is researching after initial interest.
Typical CPQL band (India, 2026) Rs 250 to Rs 1,800 depending on speciality Rs 400 to Rs 3,200 depending on category Rs 600 to Rs 4,500 for form-fill; lower for assisted booking
Compliance risk surface Medium. Landing page and ad copy scrutiny. High. Creative + copy + platform healthcare policy. High. Voice-over claims, on-screen text, testimonial rules.
Creative production tempo Low. 4-8 headline variants per month. High. 20-40 creative variants per month per campaign. Medium. 4-6 hero videos plus 15-20 short-form cuts per month.
Attribution model complexity Simplest. Click-to-form-fill largely intact. Complex. View-through and cross-device dominate. Most complex. Video-view assist plus retargeted conversion.
Speed to first qualified lead 3-7 days from launch 10-21 days including learning phase 21-45 days for warmed audience
Budget floor for meaningful data Rs 50,000 to Rs 1,00,000 per month per speciality Rs 75,000 to Rs 1,50,000 per month per campaign objective Rs 1,00,000 to Rs 2,50,000 per month for a video-first line
Brand equity compounding Low. Branded search rises only if landing pages convert well. Medium. Follower base and saves compound over time. High. Doctor familiarity and channel subscribers compound.

Per-axis deep dives

Buyer intent moment

Intent decides everything downstream. A patient typing best knee replacement surgeon in Pune is telling Google the diagnosis has already happened, the family is weighing options, and the search results are the final shortlist. Paid Search meets that moment. A patient scrolling Instagram at 11 PM and pausing on a 12-second reel about jawline slimming is telling Meta something entirely different: they didn't wake up wanting jaw slimming, they discovered they might want it. Paid Social feeds create these moments.

The mistake we see with Indian buyers is applying Paid Search KPIs to Paid Social. If you expect a cold reel viewer to fill a form at 3.2 percent CTR, you'll conclude the channel doesn't work. If you expect a Paid Search click on root canal cost near me to lift your Instagram followers, you'll conclude search is a waste. Different moments, different measurement frames.

Cost per qualified lead (CPQL)

Raw lead volume is meaningless in healthcare. What matters is qualified lead volume: enquiries that reached an OPD chair, a paid teleconsult, or an admission counsellor conversation lasting more than four minutes. Our internal benchmarks across 300+ live clients show that Paid Search still wins CPQL for well-defined surgical and diagnostic categories. Paid Social wins CPQL for elective and aesthetic categories where the buying window is long and the emotional trigger matters more than the clinical question.

An honest CPQL calculation must strip out repeat leads (the same phone number filling a form on three ads counts once), non-service-area leads (Bihar patients enquiring at a Bengaluru dental clinic is a leaked cost, not a lead), and price-shopper leads that never intended to book. Most healthcare marketers we audit are working with inflated CPQL numbers because they never built these filters into their CRM.

Compliance and creative approval risk

DPDP Act 2023 changed the ground rules on how paid-media forms can collect medical information. Consent must be specific, informed, and revocable. Auto-checked boxes are out. Bundled consent for marketing plus service delivery is out. Lead-form ads on any platform that pre-fill the patient's phone number without a specific medical-consultation consent line are now a live liability.

Paid Social carries the higher risk because the platform layer adds its own healthcare advertising rules on top of Indian law. Ads featuring visible body parts, before-after transformations, testimonial claims, and outcome guarantees are rejected at higher rates on social feeds than on search. NMC ethics restrict testimonial-based advertising by RMPs. ASCI's May 2023 guidance for digital advertisers requires clear substantiation for any comparative claim. If your creative pipeline doesn't include a medical compliance reviewer, expect 30-40 percent of your paid social assets to bounce before they see a rupee of spend.

Creative production tempo

Paid Search survives on 4 to 8 headline variants per ad group per month. Paid Social burns through 20 to 40 creative variants per campaign per month, and video-first accounts need weekly refresh cycles. Most healthcare marketing budgets under-provision creative production. A Rs 3-lakh monthly ad spend needs roughly Rs 40,000 to Rs 60,000 of creative production budget to feed it well. Rs 5,000 for a graphic designer's freelance retainer will not.

This is where in-house doctor content, teach-back videos from OPD, and BTS clinic footage become the cheapest, best-converting inputs. Agencies that push you toward stock-image-heavy creatives are often optimising for their own production margin, not your CPQL.

Attribution model complexity

Paid Search attribution is the simplest of the three tiers. Click-to-form-fill is largely intact, and Google's own conversion signals still work on well-instrumented landing pages. Paid Social attribution is where most healthcare marketers get confused. View-through conversions, cross-device journeys, and the loss of some deterministic identifiers post-DPDP mean the last-click model will systematically underweight social. If your CRM only credits the source of the lead form, your Paid Social ROAS will look worse than it actually is.

Paid Video is the hardest to attribute. A patient who watched a 14-minute doctor explainer three weeks ago and then Googled the doctor's name and booked will be credited to organic search or branded search in most attribution models. The Paid Video spend that started the journey is invisible unless you build multi-touch attribution or at minimum run holdout experiments on geo-splits.

Speed to first qualified lead

Paid Search delivers a first qualified lead within a week of launch when the campaign is on the right keywords and the landing page loads under 2.5 seconds. Paid Social needs a learning phase, typically 10 to 21 days, before the algorithm identifies the auto-optimised audience segment that produces qualified leads instead of just cheap form-fills. Paid Video takes the longest, often 3 to 6 weeks, because the funnel requires an audience-warming layer before the conversion layer performs.

For clinics that need footfall this month to hit an EMI on new equipment, Paid Search plus branded remarketing is the honest recommendation. For hospitals building a 12-month specialty launch, front-loading Paid Video and layering Paid Search on top makes far more sense.

Budget floor for statistical significance

Every paid channel has a floor below which it becomes a lottery. Paid Search can produce useful data at Rs 50,000 to Rs 1,00,000 per month per speciality. Paid Social needs Rs 75,000 to Rs 1,50,000 per campaign objective to escape the learning phase and stabilise. Paid Video needs Rs 1,00,000 to Rs 2,50,000 per month to build the audience layers and see through-video-view economics work.

Below these floors, you're paying for noise. This is the argument for the 70-30 model we describe later: fixed retainer for the operational floor, variable component tied to actual outcomes above that floor.

Brand equity compounding

Paid Search has almost no brand equity compounding. Branded search volume grows only if your landing pages convert well and word-of-mouth carries the brand forward. Paid Social compounds moderately through follower growth, saves, shares, and DM inbounds that don't show in ad manager. Paid Video compounds the most: doctor familiarity, YouTube subscribers, and the ability to retarget viewers for 540 days build a compounding audience asset that outlives any single campaign.

If you plan to sell your practice in three years, this compounding matters. If you'll run this clinic for a decade, it matters more.

Which mix fits which Indian healthcare buyer

Archetype 1: The 100-bed multi-speciality hospital, cardiology-heavy

Ticket sizes range from Rs 45,000 for angiography to Rs 4,50,000 for CABG. The buying window is short (days, not weeks) because most enquiries follow a diagnosis. Recommended mix: 55-60 percent Paid Search on symptom and procedure keywords with tightly geo-fenced radii, 20-25 percent Paid Social for brand awareness and doctor profile visibility, 15-20 percent Paid Video on doctor teach-backs and patient journey stories. Monthly floor: Rs 3.5 lakh to Rs 6 lakh across channels.

Archetype 2: The single-location dental clinic doing aligners and implants

Ticket sizes range from Rs 45,000 for aligners to Rs 1,80,000 for implants. The buying window is longer (weeks to months) because these are elective, cost-sensitive, and comparison-heavy. Recommended mix: 30-35 percent Paid Search on procedure keywords and cost queries, 45-50 percent Paid Social for reels featuring before-after with compliance-approved framing, 15-20 percent local Paid Video. Monthly floor: Rs 1.5 lakh to Rs 3 lakh across channels. Add a strong GBP optimisation layer (our Angryturtle product handles this end-to-end for clinics that want to compress that layer).

Archetype 3: Mid-tier IVF chain across three metros

Ticket sizes range from Rs 1,20,000 per cycle to Rs 3,50,000 for advanced protocols. The buying window is extremely long (three to twelve months of research). Recommended mix: 25-30 percent Paid Search on high-intent keywords (IVF cost, success rate, second opinion), 30-35 percent Paid Social for community building and doctor authority, 35-40 percent Paid Video for long-form patient stories and doctor explainers on YouTube. Monthly floor: Rs 5 lakh to Rs 10 lakh across channels and cities.

Archetype 4: Solo aesthetic dermatology clinic in a Tier-1 city

Ticket sizes range from Rs 6,000 for a single peel to Rs 55,000 for a full skin rejuvenation package. Impulse-adjacent buying, heavy Instagram influence. Recommended mix: 15-20 percent Paid Search on branded and category keywords, 60-65 percent Paid Social on Instagram Reels and Stories, 15-20 percent Paid Video on Reels and short-form. Monthly floor: Rs 60,000 to Rs 1.5 lakh. This archetype is the one where Paid Social genuinely dominates on CPQL.

How ICG's neutral-advisor stance works

Ichelon Consulting Group runs paid media for over 300 live healthcare clients across India, from single-chair dental practices to multi-location hospital groups. We are channel-neutral by policy: our Meta Catalyst IQ engine runs Paid Social, our Google Ads team runs Paid Search, our YODA product handles YouTube AI-native content and video ads. None of our internal teams get bonus points for winning budget share against another. The Paid Media Lead's incentive is a client-outcome metric tied to CPQL and admission volume, not to channel-level spend.

What this looks like in practice: on kick-off, we audit your existing channel mix, your CRM's lead attribution, and your creative production tempo. We build a 12-month plan that names the mix by archetype, flags the compliance gaps (DPDP consent copy, NMC-safe creative, PCPNDT or DCI overlays where relevant), and integrates with your Nexus CRM or HealthPro 360 stack so lead-to-OPD-to-admission tracking is closed-loop. Prism Spy gives you competitor Paid Social ad intelligence so your creative refresh cycle stays ahead of category-level fatigue.

The 70-30 pricing model for paid media retainers

<a href=Prism Pulse weekly comparison report showing week-over-week deltas on views, reach, interactions, saves and enquiries across the last four weeks" width="1200" height="675" loading="lazy" decoding="async" style="width:100%;height:auto;display:block;">
Prism Pulse · Weekly ComparisonWeek-over-week deltas on every KPI — Views, Reach, Interactions, Saves, Enquiries. The single most-shared view on client calls.
Angryturtle Geo-Grid Rank Tracking heatmap across a 100-point city grid showing where the GBP ranks #1 in the local pack and where it demotes
Angryturtle · Geo-Grid Rank TrackingEvery high-intent healthcare query rank-tracked across a 100-point city grid. See where you rank #1 vs where local pack demotes you.

Paid media retainers at ICG follow the same 70-30 model we use across SEO and YouTube: 70 percent of the retainer is fixed (creative production, media buying operations, compliance review, weekly optimisation cadence), 30 percent is tied to a 12-month outcome target on a sliding-scale slab. For Google Ads, the model activates on monthly media budgets of Rs 5 lakh and above. For YouTube and AIO, it activates from Rs 50,000 per month.

The reasoning is simple. A fixed-only retainer misaligns incentives: the agency gets paid the same whether your CPQL improves or doesn't. A pure percentage-of-spend model misaligns differently: the agency's revenue rises when your spend rises, regardless of outcome. The 70-30 split keeps the operational floor honest and puts real skin in the game on the outcome layer. For an Rs 5-lakh monthly ad budget in a competitive category, this typically translates to a retainer that scales meaningfully only when CPQL, qualified leads, or admissions cross agreed thresholds.

Frequently asked questions

Meta Catalyst IQ Naming Intelligence deconstructing Meta Ads campaign names into audience, format, funnel-stage and offer components
Meta Catalyst IQ · Naming IntelligenceEvery campaign name decomposed into audience · format · funnel-stage · offer. The prerequisite for meaningful cohort analysis.
PrismSpy Offers Intelligence tracking 1,197 offers with discount intensity per brand and value tier distribution across the healthcare category
PrismSpy · Offers Intelligence1,197 offers tracked · 858 currently active. Discount intensity by brand · value tier distribution.
YODA SEO Lab pre-publish cockpit for a YouTube video with title, description, tags, chapters and transcript SEO tests
YODA · SEO LabSEO Lab is the pre-publish cockpit — title, description, tags, chapters, transcript SEO tests before every video ships.

Should a new clinic in a Tier-2 city start with Paid Search or Paid Social?

Start with Paid Search plus a Google Business Profile push. Tier-2 buyers Google symptoms and procedures more often than they discover clinics on Instagram, and the CPQL is meaningfully lower for the first six months. Add Paid Social by month four once you have testimonial videos and doctor-led reels ready.

Is Paid Search dying in India because of AI Overviews and zero-click results?

No, but the ad surface is compressing. AI Overviews reduce click-through on some informational queries. High-intent transactional healthcare queries (cost, appointment, near-me, doctor names) still convert well and will for the foreseeable future. What's changing is that landing pages must be faster, thinner, and more schema-rich to keep pace.

How does DPDP Act 2023 change our Paid Social lead forms?

You need a specific, informed, revocable consent for medical enquiry data. The pre-checked checkbox is out. Bundling marketing consent with service consent is out. Your lead form UI should surface a plain-language consent line, log the timestamp and version of the consent notice, and store it against the lead record. Your CRM must support consent revocation on demand.

What is a reasonable CPQL benchmark for an IVF clinic in India in 2026?

Wide range depending on city and speciality depth. A metro IVF clinic on a well-optimised paid mix can hold Rs 900 to Rs 1,800 CPQL for consultation bookings, higher for cycle-conversion economics. If you're spending Rs 5 lakh a month and CPQL is above Rs 3,000, either the targeting, the landing page, or the qualification funnel is broken. All three are common.

Can we run before-after ads for aesthetic procedures without violating compliance?

Cautiously, yes. NMC restrictions on RMP advertising, ASCI guidelines on comparative and outcome claims, and platform-level healthcare policies all apply. Anonymised photography, standardised lighting, no exaggerated outcome text, and clear disclosure that results vary are the baseline. A pre-launch compliance review pass on every creative batch is not optional.

How do we attribute a hospital admission back to the paid channel that started it?

Multi-touch attribution or a UTM-and-CRM discipline where the first-touch and last-touch sources are both preserved against the patient record. Ideally, your CRM allows a channel-mix report at the admission level rather than the enquiry level. Weekly geo-holdout tests on Paid Video are the most reliable way to prove or disprove upper-funnel contribution.

Is it worth running Paid Video for a small clinic with a Rs 1 lakh monthly budget?

Usually not as a standalone channel. Below Rs 1 lakh a month, Paid Video cannot build the audience layers needed to see through-video-view economics. That budget is better spent on Paid Search plus organic-video-content-plus-boost tactics, then re-visited once the monthly floor crosses Rs 1.5 lakh.

How often should we refresh Paid Social creative to avoid fatigue?

In categories with active Meta ad inventory (dental, aesthetic, IVF, dermatology), refresh 30-40 percent of your creative every four weeks. In categories with lower ad density (paediatric surgery, oncology, cardiac), monthly refresh at 20-25 percent is enough. Fatigue signals to watch: frequency crossing 3.8 on cold audiences, CPQL drift upward over two consecutive weeks, and rising cost per thousand impressions on the same audience segment.

Do we need separate agencies for Paid Search and Paid Social?

Not necessarily, but you need separate accountable leads inside one agency, or genuine cross-channel coordination between two agencies. The worst outcome is a single agency that treats one channel as a loss leader to protect margin on the other. The 70-30 outcome-linked retainer model exists partly to prevent exactly that failure mode.

How long before we see meaningful signal from a new paid media investment?

Paid Search: 7 to 14 days for initial CPQL signal, 30 to 45 days for stabilised economics. Paid Social: 21 to 30 days to escape learning phase, 60 days for durable audience segments. Paid Video: 45 to 90 days for the full funnel to compound. If any channel isn't showing directional signal by Day 45, the diagnosis is usually creative, landing page, or qualification funnel, not the platform itself.

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Frequently asked

Questions readers ask
about this topic.

Start with Paid Search plus a Google Business Profile push. Tier-2 buyers Google symptoms more often than they discover clinics on Instagram, and CPQL is lower for the first six months. Add Paid Social by month four once you have testimonial videos and doctor-led reels ready.

No, but the surface is compressing. AI Overviews reduce click-through on informational queries. High-intent transactional healthcare queries (cost, appointment, near-me, doctor names) still convert well. Landing pages must be faster, thinner, and more schema-rich to keep pace.

You need specific, informed, revocable consent for medical enquiry data. Pre-checked boxes are out. Bundled consent is out. Your lead form should surface a plain-language consent line, log the timestamp and version, and store it against the lead record. Your CRM must support consent revocation.

A metro IVF clinic on a well-optimised paid mix can hold Rs 900 to Rs 1,800 CPQL for consultation bookings. If you're spending Rs 5 lakh a month and CPQL is above Rs 3,000, either targeting, landing page, or qualification funnel is broken. All three are common.

Cautiously, yes. NMC restrictions on RMP advertising, ASCI guidelines, and platform healthcare policies all apply. Anonymised photography, standardised lighting, no exaggerated outcome text, and clear disclosure that results vary are the baseline. Pre-launch compliance review on every batch is not optional.

Multi-touch attribution or a UTM-and-CRM discipline where first-touch and last-touch sources are both preserved against the patient record. Your CRM should allow channel-mix reports at admission level. Weekly geo-holdout tests on Paid Video are the most reliable way to prove upper-funnel contribution.

Usually not as a standalone channel. Below Rs 1 lakh a month, Paid Video cannot build the audience layers needed to see through-video-view economics. That budget is better on Paid Search plus organic video with paid boost, then revisited once monthly spend crosses Rs 1.5 lakh.

In active categories (dental, aesthetic, IVF, dermatology), refresh 30-40 percent of creative every four weeks. In lower-density categories (paediatric surgery, oncology, cardiac), monthly refresh at 20-25 percent is enough. Watch frequency above 3.8 on cold audiences and rising CPQL over two consecutive weeks.

Not necessarily, but you need separate accountable leads inside one agency, or genuine cross-channel coordination between two agencies. The worst outcome is a single agency treating one channel as a loss leader to protect margin on the other. The 70-30 outcome-linked model prevents that failure mode.

Paid Search: 7 to 14 days for initial CPQL signal, 30 to 45 days for stabilised economics. Paid Social: 21 to 30 days to escape learning phase. Paid Video: 45 to 90 days for full funnel compounding. If no directional signal by Day 45, the diagnosis is creative, landing page, or funnel.

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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