IVF Cost Per Live Birth: How to Compare Clinic Success Rates and Cumulative Odds Before Your Next $30K Cycle
You just finished a cycle that didn't work, or you're about to start one. Now you're staring at two clinic quotes, one for $13,000 and one for $16,000, and someone has told you the cheaper one "has great success rates." Doing math while you're worn out, hopeful, and possibly grieving is brutal. It's also the moment when the math matters most.
Here is the number I wish someone had handed me before my own cycles: the price on the quote matters far less than the cost per live birth. Below, I'll show how to calculate that number with a worked example. Every clinic, age, and probability in it is a hypothetical I made up to show the method. They are not SART figures and not any real clinic's results. The point is to get you ready to plug in your own.
Why the quote isn't the number that matters
A quote tells you what one attempt costs. It doesn't tell you how often one attempt ends in a baby. The two get combined into one figure:
Cost per live birth = all-in cost per started cycle ÷ probability of a live birth per started cycle
This holds even if you cap yourself at three cycles. Expected spend divided by the chance of success across those cycles works out to the same ratio.
"All-in" means the clinic fee plus medications, monitoring, anesthesia, any genetic testing, and the frozen embryo transfer (FET) you'll probably need. If you haven't built that number yet, start with our breakdown of why medications, PGT-A, and monitoring add $12K–$20K to any clinic quote.
"Per started cycle" is the part clinics make hard to see. A published rate can be "per transfer" (only counting people who got an embryo transferred) or "per intended retrieval" (counting everyone who began). Cancelled cycles and cycles with nothing to transfer drop out of the first version and stay in the second. That's how clinics can be technically honest and still leave you with the wrong impression.
Worked example: the cheaper clinic that costs $32K more per baby
Meet two hypothetical clinics for a 38-year-old with no special diagnosis. Both numbers below are illustrative assumptions.
| Clinic A | Clinic B | |
|---|---|---|
| Clinic fee quoted | $16,000 | $13,000 |
| Meds, monitoring, PGT-A, FET (assumed the same) | $14,000 | $14,000 |
| All-in per started cycle | $30,000 | $27,000 |
| Live birth per transfer (the "headline" stat) | 28% | 30% |
| Share of started cycles that reach a transfer | 79% | 53% |
| Live birth per started cycle | ≈22% | ≈16% |
Look at the headline row. Clinic B advertises the higher per-transfer rate, 30% versus 28%. But only about half of Clinic B's started cycles get to a transfer, through cancellations or no usable embryos. Multiply it out: 0.30 × 0.53 ≈ 16%. For Clinic A, 0.28 × 0.79 ≈ 22%.
This is the version of "Is this clinic actually better, or are they just picking easier patients?" that you can test. Ask what happens to everyone who starts a cycle, not just the ones who make it to transfer. Our guide to SART cancellation rates and the price gap shows where to look in the published reports.
Now the cost per live birth:
- Clinic A: $30,000 ÷ 0.22 ≈ $136,364
- Clinic B: $27,000 ÷ 0.16 ≈ $168,750
The clinic that looked $3,000 cheaper per cycle costs about $32,400 more per live birth. These numbers look huge because they include the money spent on attempts that don't work, which is the real cost of getting to a baby.
Cumulative success across 1–3 cycles
Most people don't decide about one cycle. They decide whether they can afford to keep going. The cumulative chance of at least one live birth after n cycles is 1 − (1 − p)ⁿ, where p is your per-cycle probability. This is a simplification: it treats each cycle as independent, and real cycles aren't. A failed cycle can tell you something about your odds, and that can push them up or down.
| Cycles attempted | Clinic A (22% per cycle) | Clinic B (16% per cycle) |
|---|---|---|
| 1 | 22.0% | 16.0% |
| 2 | 1 − 0.78² = 39.2% | 1 − 0.84² = 29.4% |
| 3 | 1 − 0.78³ = 52.5% | 1 − 0.84³ = 40.7% |
| Expected spend if you stop at first success (max 3 cycles) | $71,652 | $68,731 |
Over three cycles the two clinics have almost the same expected spend, about $3,000 apart. The gap in how many people end up with a baby is 11.8 percentage points. For roughly the same money, Clinic A gets about 12 more people out of every 100 to a live birth.
This is the kind of analysis Feralyx runs for you, so you don't have to build the spreadsheet yourself.
Your age moves every input
The same formula gives very different answers depending on p. Here's one hypothetical clinic at a flat $30,000 all-in per cycle, with illustrative per-cycle rates at three ages. Real rates vary by clinic, diagnosis, and whether you're using your own eggs or donor eggs.
| Age | Assumed live birth per started cycle | After 2 cycles | After 3 cycles | Cost per live birth |
|---|---|---|---|---|
| 35 | 35% | 57.8% | 72.5% | ≈ $85,714 |
| 38 | 22% | 39.2% | 52.5% | ≈ $136,364 |
| 41 | 12% | 22.6% | 31.9% | ≈ $250,000 |
Reading this table can hurt, and I'm not going to pretend otherwise. I'm also not telling you what to do with it. Some people look at these numbers and choose donor eggs. Some choose another cycle at the same clinic. Some choose a different clinic, and some decide to stop. All of those are legitimate, and none of them is the "right" reading. The table only tells you what each path costs in expected dollars so the decision is yours and not the quote's. If donor eggs are on your list, see what the success data shows for donor eggs at older ages.
For how to find real age-specific numbers for the clinics on your shortlist, read how to read SART clinic data at 35, 38, and 41.
The refund program break-even depends on your odds
Shared-risk or refund programs charge a higher upfront fee for a set number of cycles and refund part of it if you don't have a baby. Whether that's a good deal depends on your odds, and the math is different from the "peace of mind" pitch.
Take a hypothetical program: $60,000 for up to 3 retrievals, with an 80% refund of the program fee if there's no live birth. To keep it simple, I'm comparing only the $16,000 clinic fee per cycle from Clinic A and assuming meds and other add-ons are paid separately either way.
| Your true odds per cycle | Pay-per-cycle expected clinic-fee spend (up to 3 cycles) | Program expected net cost | Difference |
|---|---|---|---|
| 35% | $33,160 | $46,818 | Program costs $13,658 more |
| 22% | $38,214 | $37,222 | About break-even (program ~$1,000 cheaper) |
| 10% | $43,360 | $25,008 | Program saves $18,352 |
The calculation for the 22% row: pay-per-cycle is $16,000 × (1 + 0.78 + 0.78²) = $38,214. The program is $60,000 × (0.525 chance of success, fee kept + 0.475 × 20% kept after refund) ≈ $37,222.
The catch is that clinics tend to admit patients into refund programs based on their odds, so the person with a true 10% chance may not be allowed in. And the fine print (which cycles count, what "live birth" means, what's excluded from the refund) can change the math. Ask for the contract before you run any numbers. Our deeper walk-through is in IVF shared-risk vs. pay-per-cycle.
You can model this for your specific situation at Feralyx.
Location and insurance change your inputs
Two of your variables don't show up on a success-rate chart: where you live and what your plan covers.
Location. A KFF Health News story, "States Bet Big on Rural Health Startups, With a Silicon Valley Twist," reports that states are spending rural health dollars on tech startups because doctors have vanished and hospitals have collapsed in some areas. Louisiana's call for innovative technology drew more than 200 pitches seeking anywhere from $250,000 to $3 million in seed money. That story isn't about fertility, but it describes a real pattern: access gaps outside big metro areas.
For IVF, the cost of distance is concrete. Here's an illustrative example. If a clinic is 90 miles away and stimulation monitoring takes eight visits, that's 1,440 round-trip miles. At an assumed $0.60 per mile, that's $864 in driving alone, before any time off work or a hotel on retrieval day. The lowest-priced clinic in another metro area may not be the lowest once you count that. Ask whether the clinic partners with a local lab or satellite office for monitoring.
Insurance. Coverage rules differ by state, employer, and plan type, so your out-of-pocket for the same protocol at the same clinic can range from near $0 to tens of thousands. I've covered this in detail in why the ERISA loophole and employer benefit gaps make your benefits portal unreliable. If insurance covers part of the cycle, use only your own share in the "all-in cost" line above. A covered cycle can change which clinic wins the cost-per-birth comparison, and sometimes the winner is not the one you'd have guessed.
Ask what's been studied
Two other KFF Health News stories hold a useful lesson for anyone weighing new add-ons or tools.
"The Drugs and Devices Have Been on the Market for Years. But FDA-Ordered Studies Still Aren't Done" reports that the FDA lets companies conduct studies of safety or efficacy after products are approved, and that in many cases those postmarket studies are behind schedule or overdue, according to records. The article doesn't say anything about specific fertility medications, so I can't tell you whether any drug in your protocol is affected. That's a question for your prescribing team and pharmacist, and I'm not offering medical advice here. If you want context on how this connects to protocol decisions, see our post on unfinished FDA safety studies and multi-cycle treatment planning.
The rural startups story adds a second point: states are betting on "untested companies." Fertility has its own version, with add-ons, apps, and AI-based selection tools that can be added to your bill. A fair question to ask about every line item is: what evidence is there that this changes the live birth probability for someone like me, and by how much? If a $3,500 add-on moves p from 22% to 23%, the cost per live birth barely changes. If it moves it to 28%, the math changes a lot. Either way, you're entitled to ask.
If you're paying with a card
A quick note on rewards, since I know people ask. NerdWallet's "Citi Adds Japan Airlines as Its Newest Transfer Partner" says the transfer ratio is 1:1 or 1:0.7, depending on the card. Say you put a $30,000 cycle on a card that earns 1 point per dollar (an assumption for this example). That's 30,000 points, which becomes 30,000 miles at 1:1 or 21,000 miles at 1:0.7. That's a 9,000-mile difference from the same spend, based only on which card you hold.
The larger number is interest. At an assumed 24% APR, carrying that $30,000 for a year would cost roughly $7,200 in interest, which points are unlikely to offset. If you use a card, it's worth thinking about paying it off quickly. The full break-even math on cards versus loans versus refund programs is in IVF financing after a failed cycle.
What to bring to your next clinic conversation
Before you commit to another cycle, get these into writing:
- All-in cost per started cycle, including meds, monitoring, anesthesia, genetic testing, and at least one FET.
- Live birth per started cycle (per intended retrieval) for patients of your age and diagnosis, not just per transfer.
- Cancellation rate and the share of started cycles that reach a transfer.
- Your own p. Ask your doctor, based on your labs and history, for a realistic per-cycle estimate, then run the cumulative math across 1, 2, and 3 cycles.
- Refund program terms, including who qualifies, what counts as a live birth, and what's excluded.
- Your out-of-pocket after insurance, and your travel costs.
- The evidence behind any add-on or new tool.
That gives you cost per live birth for two or three clinics, side by side, using your numbers and not an average. It won't make the decision easy. But it means the quote won't be the only thing you're comparing when you decide whether to go again.
If you'd rather not build all of this by hand, you can compare clinics using your own age, diagnosis, insurance, and cycle count at Feralyx, and walk into your next consult with real numbers.
This post is for education, not medical or financial advice. All clinic names, probabilities, and program terms in the worked examples are hypothetical.
Sources
- Citi Adds Japan Airlines as Its Newest Transfer Partner — NerdWallet Health
- Health Journalists Visit Conservative Georgia District and Weigh AI Bioweapon Threat — KFF Reproductive Health
- The Drugs and Devices Have Been on the Market for Years. But FDA-Ordered Studies Still Aren’t Done. — KFF Reproductive Health
- California Eyes Prison Heat Protections That Fall Short of Workplace Standards — KFF Reproductive Health
- States Bet Big on Rural Health Startups, With a Silicon Valley Twist — KFF Reproductive Health