Anonymised Aesthetic Dermatology Chain — Multi-Location Growth

Client profile: Aesthetic dermatology chain · 7 clinics across Delhi NCR (3), Mumbai (2), Bangalore (2) · blended revenue ₹42 crore annually · CEO planning 3 new locations in year 2 of engagement · chain running from a single Google Ads account and a single Meta Ads account at engagement start.

The single-campaign problem

The chain's marketing director was proud of one number: a blended CPQL of ₹1,240 across all 7 clinics. It was below the market median. The campaigns appeared efficient.

They were not. ICG's per-location diagnostic revealed what the blended number concealed: the highest-performing clinic (South Delhi, 5 years established) was at ₹820 CPQL. The lowest-performing clinic (Bangalore Koramangala, 14 months established) was at ₹1,680 CPQL — 105% variance within the same chain, running from the same campaign.

This variance had two consequences. First, the South Delhi clinic's efficiency was subsidising the Koramangala clinic's waste. Budget flow was uniform across all 7 locations; it should have been weighted 2× to South Delhi and the budget saved from Koramangala should have been reinvested where the algorithm was finding the highest-quality patients.

Second, the new location launch was about to replicate the same undifferentiated architecture at 3 new cities. Three new clinics would launch into 3 new markets — each with different CPC environments, different competitive densities, different patient demographics — running from the same unified campaign that had never been optimised for any single location.

The multi-location growth architecture

Per-location diagnostic (weeks 1–4): CPQL mapped independently across all 7 clinics. City zone data from Beacon (South Delhi vs Gurgaon vs Andheri vs Koramangala — each zone had different CPC environments). Competitive landscape per location (Google Maps competitive density, competitor CPC spend from auction insight data, AEO gap analysis).

Location-specific campaign architecture (weeks 5–16): 7 separate campaign architectures. Each with:

• Zone-specific geographic targeting (South Delhi campaigns exclude Gurgaon searches; Koramangala campaigns exclude Whitefield)
• Location-specific landing pages (unique catchment area content, nearest landmarks, specific doctor profiles for that location)
• Separate bid strategies with Target CPA set at the per-location ICG benchmark (not the blended ₹950 national median — the location-specific target)

Brand + performance balance: ICG introduced a chain-level brand campaign (15% of total budget) running alongside 7 location-level performance campaigns (85% of budget). Before ICG, 100% of budget was in location-level performance campaigns. The brand layer rebuilt cross-city recall — critical for the new location launches where brand familiarity in an unfamiliar city is the first challenge.

New location launch playbook: Developed in weeks 13–16, tested in month 5 (new Pune clinic). Playbook: website with AEO-structured content 8 weeks pre-opening → GBP setup 6 weeks pre-opening → Google Ads + Meta Ads micro-conversion phase (weeks 1–12 post-opening) → CPQL-optimised bidding from month 4. Result: Pune clinic reached ₹980 CPQL in month 4 vs the historical 9–12 month average to reach CPQL benchmark.

Outcomes

Month 6:

• Per-location CPQL dashboard live in Agency OS
• CPQL variance: 105% (₹820–₹1,680) → reduced to ±38% (₹820–₹1,220) as location-specific architecture optimised
• Budget reallocation: South Delhi and Andheri increased 30%; Koramangala reduced 25% (then campaign architecture redesigned)
• Hawk deployed: 24% limbo recovery rate across aesthetic derm accounts (above IVF, below dental — consistent with 26% portfolio median for aesthetic derm)

Month 12:

• Blended CPQL: ₹1,240 → ₹880 (29% reduction)
• Per-location CPQL range: ₹720–₹1,020 (CPQL variance: ±22% — within the target ±25%)
• Brand campaign: measurable branded search volume increase of 34% vs engagement start
• New location playbook proven: Pune clinic at ₹980 CPQL in month 4

Month 18:

• 2 additional new locations opened (Hyderabad and Chandigarh) using the validated playbook
• Both reached CPQL benchmark in 4 months (vs 9–12 months historical without playbook)
• Blended chain CPQL: ₹840 — across 9 total locations (the 7 original + 2 new)
• CEO comment: "The playbook is the business model for expansion. We can now open a new city and know what CPQL to expect in month 4."