IVF Clinic Rankings: Why a 47% vs 29% SART Success Rate Gap Matters More Than a $3,000 Price Difference
You've got two consult sheets sitting on your kitchen table. Clinic A quotes $21,500 for a cycle. Clinic B quotes $24,800. Your gut says go with the cheaper one — that's an extra $3,300 you could put toward meds, or toward the FET you might need if the first transfer doesn't take.
Here's the question almost nobody asks before they pick: what are you actually buying with that money? If Clinic A's published live birth rate for someone your age and diagnosis is 29% per cycle, and Clinic B's is 47%, the "cheaper" clinic could easily cost you more — because you're statistically likely to need two or three cycles at Clinic A to get the outcome Clinic B gets in one or two.
This is the calculation almost every fertility patient skips, not because they're careless, but because clinic success-rate data is genuinely hard to parse. It's reported by age band, not by your specific combination of age, diagnosis, and ovarian reserve. It includes cancelled cycles in some places and excludes them in others. And clinics know exactly how to present their numbers in the most flattering light.
What SART Data Actually Tells You (and What It Doesn't)
The Society for Assisted Reproductive Technology (SART) requires every U.S. fertility clinic to report cycle outcomes annually, and that data becomes publicly searchable. It's the closest thing patients have to an apples-to-apples comparison tool — but "closest thing" isn't the same as "easy to use."
A few structural realities worth understanding before you trust any single number a clinic hands you:
- Success rates are reported by age band, typically under 35, 35-37, 38-40, 41-42, and 43+. A clinic's "50% success rate" headline is almost always the under-35 number, which may have nothing to do with your odds at 39.
- Cancellation rates matter enormously and are easy to hide. A clinic that cancels a high percentage of cycles before retrieval (because the patient responded poorly to stimulation) can post a higher per-transfer success rate while quietly filtering out its hardest cases. The relevant question isn't "success rate per embryo transfer" — it's success rate per cycle started, called an "intent-to-treat" rate.
- Diagnosis composition skews everything. A clinic that treats mostly male-factor infertility in patients with normal ovarian reserve will outperform a clinic that treats a high volume of diminished ovarian reserve or endometriosis cases — not necessarily because the first clinic is better, but because its patient population starts with better odds. This selection-bias effect is exactly what shows up when you compare Harris County and Chicago clinics on the same SART metrics and find a gap that has nothing to do with clinic quality.
None of this means SART data is useless. It means a single headline percentage is the wrong unit of comparison. You need the age-band-specific, diagnosis-adjusted, intent-to-treat number — and you need to look at it next to the total cost, not the quoted cycle price.
A Worked Example: Comparing Two Clinics (Illustrative Numbers)
To make this concrete, here's a labeled example — not real clinic data, but the kind of side-by-side math you should be building with your own numbers before you commit to a clinic.
Patient profile: age 38, diminished ovarian reserve diagnosis, planning to use her own eggs.
Clinic A quotes $21,500 per cycle (retrieval + fresh or frozen transfer, meds not included) and reports a 29% live birth rate per cycle started for her age/diagnosis combination, with a 12% cycle cancellation rate.
Clinic B quotes $24,800 for the same protocol and reports a 47% live birth rate per cycle started for the same age/diagnosis group, with a 6% cancellation rate.
Add typical medications ($5,500), monitoring ($1,800), and PGT-A testing ($3,200) — costs that barely vary by clinic because they're driven by pharmacy pricing and lab fees, not clinic quality — and the real per-cycle numbers look like this:
| Clinic A | Clinic B | |
|---|---|---|
| Base cycle quote | $21,500 | $24,800 |
| Medications | $5,500 | $5,500 |
| Monitoring | $1,800 | $1,800 |
| PGT-A | $3,200 | $3,200 |
| True cost per cycle | $32,000 | $35,300 |
| Live birth rate per cycle | 29% | 47% |
That $3,300 quoted difference is actually a $3,300 difference in true cost too, since add-ons don't change. But now calculate what you're likely to spend to reach a live birth, not just what one cycle costs.
The probability of not succeeding after a given number of cycles is (1 minus success rate) raised to the number of cycles. At Clinic A, the chance of failing twice in a row is 0.71 × 0.71 = 0.504 — meaning your cumulative chance of a live birth within two cycles is about 49.6%. At Clinic B, failing twice is 0.53 × 0.53 = 0.281, putting your two-cycle cumulative success at roughly 71.9%.
To reach an equivalent ~70% cumulative probability at Clinic A, you'd likely need a third cycle: 1 − (0.71³) = 1 − 0.358 = 64.2%, and even that falls short of Clinic B's two-cycle number. Financially, that's the difference between:
- Clinic B, 2 cycles to ~72% cumulative success: $35,300 × 2 = $70,600
- Clinic A, 3 cycles to ~64% cumulative success: $32,000 × 3 = $96,000 — for a lower cumulative probability
This is obviously an illustrative scenario, not a guarantee about any real clinic — your own numbers will differ based on your age, diagnosis, and the actual published rates for clinics you're evaluating. But it demonstrates the core trap: comparing quoted cycle price without comparing success rate and cumulative cost can lead you toward the objectively worse financial decision. For the mechanics of this cumulative math applied across different age bands, the cumulative live birth probability breakdown at 35, 38, and 41 walks through the same formula with published age-band ranges.
This is the kind of analysis Feralyx runs for you — so you don't have to build the spreadsheet yourself every time a new clinic quote lands in your inbox.
Questions to Ask Before You Trust a Clinic's Number
When you're sitting across from a clinic coordinator (or scrolling their marketing page), these are the questions that separate a real comparison from a sales pitch:
- "What's your live birth rate per cycle started, not per transfer, for my exact age band and diagnosis?" Per-transfer rates exclude every cycle that got cancelled before retrieval or never made it to transfer — which is exactly where a struggling clinic hides its worst outcomes.
- "What's your cancellation rate for patients with my ovarian reserve profile?" A clinic quietly steering low-AMH or high-FSH patients away from starting a cycle can post an artificially high success rate on the cycles it does run.
- "How many of your reported cycles used donor eggs?" Donor-egg cycles have dramatically higher success rates across almost every age group, and a clinic that blends donor and own-egg data into one headline number is not comparing like to like. If donor eggs are on your table as an option, the age-gap data on donor egg outcomes is worth understanding on its own terms, separate from own-egg comparisons.
- "What's the total out-of-pocket cost including meds, monitoring, and PGT — not just the base cycle fee?" As the worked example above shows, the base fee can obscure a cost gap that's smaller (or larger) than it first appears once you add in the components every clinic charges separately.
Clinic Ranking Isn't One Number — It's a Personalized Calculation
The uncomfortable truth is that there's no single "best clinic" ranking that applies to every patient. A clinic that's excellent for a 32-year-old with male-factor infertility might have mediocre outcomes for a 41-year-old with diminished ovarian reserve, because its reported success rate is an average across a patient population that doesn't look like you. Two clinics with nearly identical overall SART numbers can have a 15-20 point gap once you filter to your specific age and diagnosis.
That's the calculation worth doing before you commit to a second or third cycle at the same place out of loyalty or convenience — or before you assume the pricier clinic down the road is automatically the smarter buy. You can model this for your specific situation — your age, your diagnosis, the clinics you're actually considering — at Feralyx, rather than trying to reverse-engineer cumulative probability math from a PDF on a clinic's website at 11pm.
You've already done the hardest part of this process — showing up for consult after consult, absorbing numbers that feel impossible to compare. The clinic-ranking math doesn't have to be one more thing you carry alone. Run your numbers, compare the real total cost against the real cumulative probability, and walk into your next consultation already knowing which questions matter.
Sources
- Half of Medicare Advantage stars thresholds harder to reach in 2027 — Healthcare Dive
- Health Catalyst appoints new CEO — Healthcare Dive
- Veterans Affairs taps Amwell for telehealth revamp — Healthcare Dive
- Hilton Credit Cards Unveil New Welcome Offers Up to 200K Points — NerdWallet Health
- Mobile Sports Betting Is Booming — So Is the Debt That Comes With It — NerdWallet Health