TL;DR — six findings from 55,000+ indexed reviews
- Review velocity varies by about 60x across specialties with 3+ profiles (0.10/week for Cosmetic surgeon to 6.18/week for Diagnostic centre). Including single-profile rows, the spread is about 100x: Pediatric dentists at 7.92 reviews/week set the ceiling; Eye Care Clinic at 0.08/week sets the floor. A single all-specialties benchmark is worse than useless.
- Fertility and Dermatology are structurally slow. Fertility clinics average 0.48 reviews/week across 28 profiles; Dermatologists 0.40/week across 28 profiles. Both need structured post-visit review-request flows to sustain pace.
- Diagnostic centres and Dental clinics recover fastest from negative events. 6.18 and 5.10-plus reviews/week respectively let a single one-star wash out inside two weeks.
- The one-review-per-week floor is a hard operational line. Below it, listings accumulate a rank ceiling that no other optimisation can lift.
- Response rate correlates with rating, not with velocity. Every specialty above 85 percent response rate carries an average rating above 4.5; velocity is set by the specialty, response rate is set by the operator.
- Cross-specialty comparisons are meaningless without adjustment. A Dermatologist at 0.6 reviews/week is beating the specialty average; a Diagnostic centre at the same rate is underperforming by 5x.
Cite this report
Inline (HTML):
Ichelon Consulting Group (2026). GBP Review Velocity Benchmarks by Specialty India 2026. https://ichelonconsulting.com/reports/gbp-review-velocity-benchmarks-by-specialty-india-2026
APA 7:
Gupta, R. & Ichelon Consulting Group. (2026). GBP Review Velocity Benchmarks by Specialty India 2026: 24 specialties, 55,000+ reviews, 60x range. Ichelon Consulting Group. https://ichelonconsulting.com/reports/gbp-review-velocity-benchmarks-by-specialty-india-2026
Licence: CC BY 4.0 — free to reuse with attribution.
Five numbers to anchor the benchmark
Methodology
The benchmark aggregates rolling 12-week new-review counts per profile across 328 actively-managed Indian healthcare Google Business Profiles on the Angryturtle platform, between 1 January 2026 and 31 August 2026. Every profile in the sample was in continuous management for at least 90 consecutive days inside the window. Weekly review velocity is the arithmetic mean of new reviews per calendar week for the profile, averaged over the reporting window.
Specialty coding. Each profile is coded to a single primary specialty using Google's own primary-category taxonomy. Where a category label is close but not identical to a specialty (Dentist versus Dental clinic), the primary-category label is preserved as-is; no re-coding is applied. Specialties with fewer than three profiles in the sample are reported for range only and not used as benchmarks.
Exclusions. Deleted reviews, filtered reviews, reviews from Google-suspended reviewer accounts, and reviews left during the first 30 days of profile activation are excluded from the velocity count. The exclusions eliminate the noise from onboarding pushes and from removed spam that would otherwise inflate the weekly rate.
Anonymisation. No listing names, reviewer identifiers, addresses, phone numbers or specific review text appear anywhere in this report. Every figure is a specialty-level aggregate. Sample-size counts per specialty are shown so readers can weight the benchmark appropriately.
Finding 1 · Review velocity varies by about 60x across specialties (about 100x including single-profile rows)
The range: from 0.08 reviews per week (Eye Care Clinic, single-profile row) to 7.92 per week (Pediatric dentist, single-profile row) — about 100x. The healthcare-only range with n ≥ 3 profiles per specialty runs from 0.10 (Cosmetic surgeon, 7 profiles) to 6.18 (Diagnostic centre, 5 profiles) — still a 60x spread.
The specialty ceiling is set by three variables: appointment volume per week, appointment type (routine versus emotional), and typical patient willingness to leave a public Google review after that specific service. A pediatric dentist sees 40-60 appointments a week, the visits are short and low-stress, and parents are enthusiastic reviewers. A cosmetic surgeon sees 5-8 consultations a week, the procedure is emotionally weighted, and patients are reluctant to identify themselves publicly. Neither operator is doing anything wrong. Both are operating at their specialty ceiling.
| Specialty (n profiles) | Weekly velocity | Avg rating | Response rate | Benchmark verdict |
|---|---|---|---|---|
| Pediatric dentist (1) | 7.92 | 4.80 | 99.6% | Ceiling · range only |
| Diagnostic centre (5) | 6.18 | 4.74 | 72.3% | Fast recovery · use as target |
| ENT specialist (1) | 5.50 | 4.90 | 89.4% | Ceiling · range only |
| Skin care clinic (18) | 5.10 | 4.30 | 50.0% | Fast · response rate is the leak |
| Family practice physician (1) | 3.75 | 4.80 | 91.3% | Range only |
| Hospital (4) | 3.44 | 4.70 | 21.5% | Fast · response rate is critical |
| Dentist (4) | 3.27 | 3.68 | 60.3% | Fast · low rating flags churn |
| Physiotherapist (2) | 2.67 | 5.00 | 49.5% | Healthy · lift response |
| Endocrinologist (1) | 1.50 | 4.60 | 98.2% | Range only |
| Gastroenterologist (4) | 1.36 | 4.25 | 55.2% | At floor · monitor |
| Psychiatrist (8) | 1.22 | 3.39 | 35.1% | At floor · rating risk |
| Hair transplantation clinic (21) | 1.17 | 3.70 | 47.2% | At floor · category-wide risk |
| Oncologist (4) | 1.08 | 3.68 | 41.5% | At floor · lift both |
| Obstetrician-gynecologist (9) | 0.70 | 3.79 | 33.1% | Below floor · automate the ask |
| Clinic (13) | 0.63 | 3.27 | 15.3% | Below floor · category too broad |
| Dental clinic (16) | 0.53 | 4.27 | 64.7% | Below floor · automate the ask |
| Fertility clinic (28) | 0.48 | 3.54 | 37.4% | Below floor · slow-recovery specialty |
| Plastic surgery clinic (8) | 0.43 | 4.88 | 65.4% | Below floor · rating buys time |
| Urologist (6) | 0.40 | 4.80 | 45.8% | Below floor · rating buys time |
| Dermatologist (28) | 0.40 | 2.38 | 32.1% | Below floor · rating in danger zone |
| Plastic surgeon (16) | 0.33 | 3.03 | 39.6% | Below floor · rating in danger zone |
| Mental Health Services (3) | 0.19 | 1.55 | 31.3% | Below floor · structural fragility |
| Cosmetic surgeon (7) | 0.10 | 3.41 | 36.8% | Below floor · structural |
| Eye Care Clinic (1) | 0.08 | 4.70 | 60.0% | Floor · range only |
Source: Angryturtle continuous audit, Jan-Aug 2026. Rolling 12-week mean per specialty. Verdicts use the one-review-per-week floor as the operational reference.
Finding 2 · The one-review-per-week floor is a hard operational line
The number: 14 of 24 specialties in the sample sit below one review per week.
Google Maps ranking weights review recency heavily. A listing that goes 60+ days without a fresh review starts to lose position to competitors that continue earning reviews at even 1-2 per week. The specialty average is a useful diagnostic, but the floor is a hard operational line — any managed listing averaging less than one review per week is bleeding rank equity that no other GBP optimisation can compensate for.
The specialties sitting below the floor split into two groups: those with structurally low natural throughput (Fertility, Cosmetic surgery, Plastic surgery, Urology, Dermatology) where automated post-visit review-request flows are the only realistic lift, and those where the operator is simply not asking (Dental clinic, Obstetrician-gynecologist) where a 90-day operational push can move the specialty above the floor.
Finding 3 · Fertility and Dermatology are structurally the slowest to recover
The numbers: Fertility clinics average 0.48 reviews/week across 28 profiles; Dermatologists 0.40/week across 28. Both are the largest specialty samples in the study, so the averages are stable.
A single one-star review on a Fertility or Dermatology listing has a permanent visible-rating impact for weeks. The math is simple: at 0.4-0.5 reviews per week, a bad review's weight in the visible rating decays roughly six times slower than in a specialty averaging 3 reviews per week. Recovery from a single negative event takes 8-12 weeks in Fertility and Dermatology; it takes 1-2 weeks in Diagnostic centres and Dental clinics.
The operational implication is not "avoid negative reviews" — the operational implication is "structurally over-invest in review-request automation in these two specialties before you get a negative review, not after."
Finding 4 · Response rate is set by the operator, velocity by the specialty
The pattern: velocity ranges about 60x across specialties with 3+ profiles (about 100x across the full table); response rate ranges 6x across the same table (15.3 percent to 99.6 percent). Velocity is bounded by the specialty; response rate is bounded by the operator's SLA.
Every specialty above 85 percent response rate in the sample carries an average rating above 4.5. Every specialty below 30 percent response rate carries an average rating below 3.5. The correlation between response rate and rating is far tighter than the correlation between velocity and rating. This tells operators exactly where to focus first: response rate is the higher-leverage lever, and it is a policy decision, not a category constraint.
Finding 5 · Cross-specialty comparisons need adjustment
The rule of thumb: a listing operating at 60 percent of the specialty ceiling is a healthy listing. A listing at 30 percent of the specialty ceiling is under-optimised. A listing at 100 percent of the specialty ceiling is either exceptional or has an incentive-related issue worth auditing.
A Dermatologist averaging 0.6 reviews/week is beating the specialty ceiling of 0.40/week — that is an exceptional performer. A Diagnostic centre averaging the same 0.6 reviews/week is running at roughly 10 percent of the specialty ceiling of 6.18/week — that is an operator under-asking. Same number, opposite verdict. This is why cross-specialty comparisons without adjustment mislead every time.
Aside · Why the specialty ceiling matters more than the specialty floor
The reason we published this benchmark by specialty rather than a single national number is because most healthcare operators use their pack ranking as their scoreboard, not their review velocity. That framing hides the leak. A profile at rank 3 in its metro pack looks healthy on any weekly report — but if it is at 20 percent of its specialty ceiling on review velocity, it is one competitor push away from rank 5, and rank 5 in most Indian healthcare packs delivers between one-third and one-half of the enquiries of rank 3. The operator sees the traffic collapse and blames the algorithm; the actual cause was a two-year drift on review velocity that never showed up on the pack scoreboard.
The specialty ceiling — not the floor — is the number that should sit alongside the pack ranking on any monthly operator report. A profile at 60 percent of its specialty ceiling is a healthy listing that will hold its rank against most competitor moves. A profile at 25 percent of its specialty ceiling is a listing living on borrowed time.
Finding 6 · The three habits that lift a specialty above its floor
Across the sample, three operational habits show up consistently on every listing that operates above its specialty average:
- Structured post-visit review request inside 24 hours. SMS or WhatsApp with a direct one-tap link. Response yield falls off a cliff after 72 hours.
- Response SLA of 72 hours or less for every review. Both positive and negative. The response signal is a ranking input; ignoring it accepts a permanent rank ceiling.
- Weekly geo-grid check on the primary keyword. Confirms that new-review velocity is translating into pack presence gains and catches drift within seven days.
What this means for healthcare operators
1 · Compare to the specialty benchmark, not to a national average
A national "average review velocity" is a meaningless number. The right benchmark is the specialty ceiling and floor from the table above. Compare monthly.
2 · If you are below the one-review-per-week floor, automate the ask
Below-floor velocity is a rank-equity leak. Automation via structured post-visit SMS or WhatsApp lifts most specialties above the floor within 60 days.
3 · Set a response-rate target at 85 percent
Response rate is the higher-leverage lever. Every specialty above 85 percent carries rating above 4.5; every specialty below 30 percent carries rating below 3.5.
4 · Over-invest in review-request automation in slow-recovery specialties
Fertility, Dermatology, Plastic surgery, Cosmetic surgery, Urology. Build the buffer before you need it. Recovery from a negative event in these specialties takes weeks, not days.
Frequently asked — GBP review velocity for Indian healthcare, 2026
What counts as review velocity on a Google Business Profile?
Why is review velocity a per-specialty benchmark and not a single number?
What is the healthiest review velocity in the study?
What is the slowest healthy velocity?
What is the operational floor below which a listing loses rank equity?
How does ICG lift review velocity in slow-natural-throughput specialties?
Related ICG research reports
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