Every Indian IVF clinic claims a 60–80% success rate. None of them are lying — and almost all of them are misleading. The trick isn't in the number itself. It's in which number, measured how, on which patients, and over what time window.
Here are the seven ways a self-reported Indian IVF success rate can look great while predicting almost nothing about your outcome.
1. Pregnancy rate, not live-birth rate
A "positive beta" is not a baby. Roughly 15–25% of clinical pregnancies in IVF end in miscarriage, biochemical pregnancy, or ectopic. A clinic that quotes a 65% "success rate" based on beta-hCG positivity might have a 45–50% live-birth rate.
Ask: "Is that a positive-beta rate, a clinical pregnancy rate, or a live-birth rate?"
2. Per transfer, not per cycle started
Plenty of cycles never reach transfer — patients who don't respond to stim, fertilisation failure, no usable embryos. If you report success per transfer only, you've excluded those failures from the denominator. Per-cycle-started is the honest number; per- transfer is the flattering one.
For an older patient, this gap is huge. A clinic might report 50% success per transfer and 22% per cycle started for 40-year-olds.
3. Cumulative across multiple transfers
"Cumulative success rate" combines outcomes across the fresh cycle plus all subsequent FETs from the same egg retrieval. It's a legitimate metric — but only if you know that's what is being quoted.
A 70% cumulative across three transfers is not the same as 70% on your first transfer. If you have 8 frozen embryos and patience, cumulative is what eventually matters. If you have 1 embryo, it doesn't apply to you.
4. Donor eggs included
Donor egg cycles have dramatically higher success rates because the eggs are typically from women under 30. If a clinic includes donor cycles in its overall "success rate," the number for any patient using their own eggs is being inflated by patients on a completely different protocol.
Always ask for the rate restricted to own-egg cycles.
5. Cherry-picked age band
IVF outcome falls steeply with age. National Indian data (and global) looks roughly like:
| Age | Live-birth rate / fresh transfer (own eggs) |
|---|---|
| Under 35 | 40 – 50% |
| 35 – 37 | 30 – 40% |
| 38 – 40 | 20 – 28% |
| 41 – 42 | 10 – 15% |
| 43+ | 3 – 7% |
A clinic quoting a 50% rate has probably done the maths on under-35s. If you're 39, ask for the rate in your age band.
6. Selection bias on who they accept
Some clinics quietly turn away poor-prognosis patients (low AMH, high BMI, recurrent failure) and refer them onwards. This protects the clinic's headline numbers but doesn't help patients evaluating clinics. You can't easily detect this from outside — but if a clinic boasts very high numbers and tells you in consultation that you're "an excellent candidate," consider whether the population they treat is being filtered.
7. The window is whatever flatters them
"Our success rate is 65%" — over what period? The last month? The last quarter? Cherry-picked best year? Lifetime?
Ask for the most recent rolling 12-month data. That period is long enough to smooth out variance and short enough to reflect the lab's current performance. A clinic that quotes 2018 numbers in 2026 is showing you something stale.
What good looks like (rough Indian benchmarks, 2026)
For comparison, a competent Indian IVF clinic running honest numbers on own-egg patients should be roughly in line with the global ranges in the table above. If a clinic claims much higher, the mismatch is almost certainly in the methodology — not in the lab.
What to do with the answer
Use these numbers to filter, not to choose. A clinic that gives you clear, age-banded, live-birth-per-cycle-started data is being honest. That alone tells you something about the management culture. The actual value is then a sanity check — if it's wildly out of step with global benchmarks, push for explanation.
Pair this question with the structural ones in our 14-question clinic checklist and look at lab-quality proxies discussed in this piece on embryology lab quality.