Healthcare Meta Ad CPL Benchmarks by Specialty (India 2026, Real ICG Portfolio Data)

Why benchmarks vary by source (and why portfolio data wins)

Three failure modes in typical healthcare CPL benchmarks:

1. Anecdotal n=1 — a single agency's data point.
2. Self-reported — brands inflating their performance numbers.
3. Pre-optimisation — benchmarks from accounts before any hygiene work, not relevant to post-optimisation reality.

The ICG portfolio benchmarks below are from 23+ active healthcare Meta accounts running Meta Catalyst IQ daily — meaning they're post-hygiene, post-Money-Wastage-Cleanup, with attribution validated via Beacon. These represent achievable benchmarks for brands willing to do the operational work.

Top-quartile + median CPL by specialty

City tier adjustments

• Tier-1 metros (Delhi, Mumbai, Bangalore, Chennai, Hyderabad, Pune) — benchmark numbers as shown.
• Tier-2 cities (Lucknow, Jaipur, Indore, Coimbatore, etc.) — typically 25-40% lower CPL than metros for the same specialty.
• Tier-3 cities + smaller — typically 40-60% lower CPL but conversion ratio also lower; net effective acquisition cost roughly similar to Tier-2.
• NRI / overseas targeting — typically 2-3× higher CPL but procedure value 1.5-3× higher; net ROI often higher than domestic.

Why specialty CPL gaps are this wide

Three drivers of CPL variation across specialties:

1. Consideration cycle length — cardiac surgery (8-12 week consideration) vs paediatric checkup (same-day decision). Longer cycles = higher CPL because more Meta impressions per consult.
2. Audience size — IVF audience is narrower than dental audience. Narrower audiences saturate faster, driving up CPM.
3. Competitive intensity — hair transplant has ~70-90% of brands actively discounting + advertising. Cardiac surgery has fewer than 10% advertising aggressively.