How a South Delhi dermatology clinic cut cost-per-consultation by 34% — without changing the ad account
The clinic was spending ₹4 lakh/month on Meta with healthy lead volume but a 12% consultation-conversion rate. The audit found three operational issues that no ad-account optimisation would have fixed.
The situation
A two-doctor dermatology clinic in South Delhi came to us after nine months of consistent Meta spend at ₹4 lakh/month. Lead volume was healthy. Patients were enquiring. But only 12% of enquiries were converting to consultations — well below the 18–22% we’d expect for a clinic at this spend level and specialty.
The clinic owner had been told by two consecutive agencies that the answer was more ad spend, better creative, or a switch to Google. None of those answers was right.
What the audit found
1. Conversion API misfire
The clinic’s Conversion API was configured to fire a “Lead” event on form submission. Their CRM was logging only 41% of those Meta-attributed “leads” as real enquiries — the remaining 59% were partial form-fills, accidental submissions and bot traffic that Meta was happily optimising against. It is the kind of leak a proper analytics and tracking setup is designed to catch.
The algorithm had spent nine months learning to find the audience most likely to half-fill a form. Then leave.
2. WhatsApp response time on Sundays
Their highest enquiry-volume day was Sunday. Their average WhatsApp response time on Sundays was 4 hours 20 minutes — because the front desk was closed and the WhatsApp Business number was being checked by the doctor in between appointments.
Patients enquired on Sunday afternoon, didn’t hear back until Monday afternoon, and had already booked an enquiry at another clinic by then — a textbook lead-handling gap.
3. Google Business Profile decay
Their GBP photo set was 11 months old. Two competitor dermatology clinics within 600 metres were posting weekly. They had slipped from rank 1 to rank 7 in the local pack — for queries that were sending them 30+ enquiries per month at their peak.
The marketing team didn’t notice because they weren’t the ones logging into GBP.
What we changed
- Conversion API: rebuilt around “Qualified Consultation Booked” — fired only when the front desk confirmed a real enquiry. Lead-event firing kept as a secondary signal.
- WhatsApp coverage: implemented a WATI auto-responder for Sundays with a 30-minute follow-up SLA enforced through a separate weekend duty rota.
- GBP routine: a weekly photo-and-post cadence operated by the clinic’s front-desk team, with a checklist we built and Claude-Code-style monthly audits to confirm consistency.
No change to the ad account. No new spend. No new platform.
What happened next
Over the following quarter:
- Cost per qualified consultation fell 34% — from a baseline of ₹3,840 to ₹2,530.
- Consultation-conversion rate rose from 12% to 19% — within the band we’d expect for a clinic at this spend.
- GBP local-pack position recovered to rank 2–3 within 90 days; rank 1 within 5 months.
None of it would have surfaced without the audit. The clinic went on to engage us on a retainer covering all three channels plus content.
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