How an IVF centre in a tier-2 city ran a Starter-tier ChatGPT Ads campaign focused entirely on second-opinion intent
The situation
Picture a single-location IVF centre in a tier-2 city — one clinic, one core specialist team, no branch network, competing against a small number of other fertility clinics in the same city and against the pull of patients travelling to a metro for treatment instead. This is a materially different starting position from a multi-city IVF chain: marketing budget was limited, the founding doctor was personally involved in most consultations, and the centre had never run a structured paid-digital campaign of any kind, relying instead on referrals from local gynaecologists and word-of-mouth within the city.
The centre's founder had a specific, well-formed hypothesis about where new patient volume was most winnable: patients in the city and surrounding smaller towns who had already consulted a gynaecologist or a larger metro fertility hospital, received an IVF recommendation, and were now looking for a local second opinion before committing to travel and expense in a bigger city. This is a narrower and more specific audience than "anyone in this city considering IVF," and the founder's instinct, formed from years of exactly these patients walking into the clinic after being referred informally, was that this segment converted far better than cold IVF enquiries and was underserved by any existing marketing the centre had tried.
With a limited monthly marketing budget and no in-house digital marketing capability, the centre needed a channel and a tier that matched both the budget constraint and the narrowness of the hypothesis being tested — not a broad, expensive campaign trying to capture every possible IVF enquiry in the region, but a tightly scoped test of whether paid conversational-AI advertising could reliably surface the specific second-opinion patient the founder already knew, from clinical experience, converted well once they walked through the door.
The ChatGPT Ads campaign structure ICG designed
Starter-tier's single conversation bucket was the right structural fit precisely because the campaign had exactly one message to test: second-opinion intent, in one city, from one clinic. There was no multi-specialty complexity, no multi-city bid-weighting, and no need for the account-based tracking a larger B2B or hospital account would require — Starter-tier's simpler, lower-commitment structure let the centre test the channel without paying for machinery the campaign's single-message scope didn't need.
The entire budget concentrated on second-opinion intent signals rather than splitting between second-opinion and general IVF exploration. Conversations showing markers of a prior consultation — referencing an existing diagnosis, asking comparative questions about a previously recommended protocol, or explicitly asking for a second opinion — received the full available bid weight. General "what is IVF" or "how does IVF treatment work" conversations were excluded from paid spend entirely, on the reasoning that a Starter-tier budget spread across both segments would have produced too little volume in either to learn anything useful within a reasonable test window, whereas full concentration on the higher-converting segment gave the clearest possible signal on whether the channel worked for this centre at all.
The first two weeks of the campaign ran as a deliberate single-message-focus period: one core conversational ad message, refined only in minor wording variations rather than testing multiple fundamentally different angles simultaneously, since Starter-tier's lower conversation volume meant splitting early traffic across several message variants would have starved each of enough data to read reliably. Once the single message showed a stable pattern of second-opinion-classified conversations converting to enquiry, minor copy refinements were introduced gradually rather than all at once.
Landing infrastructure was a single machine-scannable page — no multi-location complexity to manage — naming the founding doctor directly, the clinic's specific credentials and years in practice, and a short, factual explanation of what a second-opinion consultation at the clinic involved. The enquiry form asked directly whether the patient had a prior IVF consultation elsewhere, which the founder used personally to prioritise callback order given that he was handling much of the initial patient contact himself in this smaller-scale operation.
The compliance discipline
The ART (Regulation) Act 2021's core restrictions applied in full regardless of the centre's smaller scale — no guaranteed or implied outcome claims, no bare success-rate figure without its mandated qualifying context, and no language that could be read as sex-selection advertising, even indirectly. The second-opinion framing carried the same specific risk it does at any scale: the temptation to imply, even subtly, that this clinic's approach would succeed where a prior consultation's recommendation had fallen short or failed to reassure the patient. Every ad variant was checked specifically for this framing before launch.
One advantage of the Starter-tier's narrower scope was that compliance review was simpler to execute thoroughly — a single message with minor variations, reviewed by one specialist doctor whose own clinical judgment carried weight in confirming the copy didn't overstate what a second opinion could realistically offer a patient. Where the founder's first drafts of ad messaging (written before ICG's involvement, during initial scoping conversations) had leaned toward reassuring language like "get the answers you deserve" paired with implied confidence in a different outcome, the reviewed and launched copy was rewritten to describe the second-opinion consultation process factually — what it involved, how long it typically took, and what documentation to bring — without implying any particular result.
NMC Section 6 and ASCI Chapter III applied as the standing baseline, and DPDP 2023 governed the enquiry form's "prior consultation elsewhere" field with explicit consent language, since that field constitutes health information about the patient's relationship with another provider. Given the single-location, single-doctor nature of this account, compliance review turnaround was fast — typically same-day — which mattered for a founder eager to see results from his first-ever paid digital campaign without a long pre-launch delay.
The 90-day outcome pattern
Given the single-location, single-city scope and Starter-tier's smaller budget, absolute volume in this scenario was modest by design relative to the multi-city or hospital-scale accounts ICG runs at higher tiers — illustratively 8-10 second-opinion-classified conversations a week in the first month, rising to roughly 18-22 a week by day 90 as the classifier matured and the clinic's landing page built up citation history in relevant conversational searches within the city and surrounding towns.
Conversion from second-opinion-classified conversation to a booked consultation ran illustratively in the 40-48% range across the 90 days — broadly consistent with the higher-converting pattern ICG has observed on second-opinion-focused IVF campaigns at other tiers, reinforcing that this segment's conversion advantage holds regardless of the centre's scale. In absolute numbers this meant the clinic went from essentially zero structured digital-lead volume to an illustrative 30-40 booked second-opinion consultations across the quarter, a meaningful and directly attributable increase for a single-doctor practice that had previously relied entirely on informal referral relationships.
The founder's own downstream tracking — kept informally rather than through any CRM, consistent with the clinic's smaller scale — indicated that a substantial share of these second-opinion consultations proceeded to book a treatment cycle at the clinic, which the founder considered the more meaningful validation than the conversation volume itself: proof that the specific patient segment he'd hypothesised about for years was genuinely reachable through a structured paid channel rather than only through the informal referral network he'd built. In GA4, the campaign's traffic attributed to the AI Assistant channel showed a key-event rate the founder, unfamiliar with GA4 attribution before this engagement, found notably higher than what little he understood of his prior informal digital efforts, though the smaller absolute conversation volume at Starter-tier makes any single-account comparison less statistically stable than at higher tiers.
What we'd do differently next time
The two-week single-message-focus period, while the right instinct to avoid splitting limited early conversation volume across too many variants, ran slightly short for this specific tier-2 market — the second-opinion classifier needed closer to three weeks of conversation data before its precision stabilised, given the lower absolute conversation volume in a smaller city relative to a metro market where the same classifier would mature faster on higher traffic.
Relying on the founding doctor personally to handle callback prioritisation and follow-up, while workable at this modest conversation volume, would not scale if the centre chose to increase budget toward Growth-tier in a future quarter — a structured intake process, even a simple one, should be built during the Starter-tier phase rather than left until volume outgrows what one person can manage.
How this maps to your own vertical
If you run a single-location clinic in a tier-2 or smaller city with a limited marketing budget and a specific, well-formed hypothesis about which patient segment converts best — not a broad guess, but something grounded in years of your own clinical observation — Starter-tier's single-bucket structure, focused entirely on that one segment rather than spread across general category demand, is the right way to test a new channel without over-committing budget before you know it works.
The compliance discipline doesn't scale down with the budget: whatever tier you run, the ART Act's outcome-claim, success-rate-context, and sex-selection restrictions apply identically to a one-clinic campaign as they do to a five-city chain, and a smaller account's simpler review process is an efficiency, not a reason to treat compliance review as optional.
