Which IVF clinic is best for you?

Comparing IVF clinics is hard. You're told to look at success rates, but then warned these same rates can be misleading if you don't account for patient demographics and procedure types. Different clinics serve different populations, making direct comparisons nearly impossible — until now.

Simplifying your experience

We take raw CDC data and use it to train a proprietary model that does what no one else does: it calculates YOUR specific success rate at each clinic. By controlling for patient factors and treatment protocols, we reveal which clinics truly perform best for cases like yours, removing the confusion from your decision-making process.

What we found?

IVF clinics can differ dramatically in their success rates. In any given year, patients attending the top quarter of clinics will have a baby about twice as often as those attending the bottom quarter of clinics.

What's more, the success rate of a clinic can be predicted with reasonable accuracy ahead of time. An average patient can increase their odds of having a child by up to 43% and reduce their costs by thousands of dollars just by picking a higher quality clinic.

The financial landscape of IVF

Beyond success rates, the financial landscape is just as tumultuous. Most clinics charge $300+ just for initial consultations, and our research reveals price differences of up to $8,000 for identical freeze-all cycles within the same city.

Our compiled insurance and pricing data eliminates these hidden barriers, showing you upfront what you'll actually pay—information that could save you thousands before treatment even begins.

Find Your Clinic

Use our zip code or city search tool above to explore overall clinic rankings and more for free!

Ready for deeper insights? Unlock personalizable success rates, in-depth success rate analyses, side-by-side clinic comparisons, and comprehensive insurance and pricing data with one of our plans below:

Model Details

Our prediction model estimates success rates for the first IVF transfer using data from over 400 clinics, across 20+ years, and with more than 1.5 million individual cases. This creates a classifier that rivals state-of-the-art prediction accuracy in reproductive medicine. We use these historical values to project clinic performance for the current year (2025).

Our current model (Version 2.0, updated March 30, 2025) controls for these patient demographic and procedural factors:

• Age
• Infertility diagnosis
• Cycle stimulation protocol
• First vs subsequent IVF transfer cycles
• Egg donor vs non-donor