Give shoppers a real answer, not a list.
A personal, actuarial answer for every shopper, inside the experience you already own.
More from the traffic you have, and a product you can offer
More enrollments from the same traffic
A shopper who sees what they could save is more likely to engage, enroll and stay. In Milliman’s study of 81,597 Medicare Advantage members, 90% would have spent less in their best-fit plan, by about $691 a year on average.
A product you can offer your own customers
Plan alignment can be part of what you sell: a personal, documented answer your partners and customers can use in their own flows. That’s a new line of revenue on top of better conversion.
Simple to call. Hard to build. Harder to keep current.
A premium sort is easy. A ranking by what this person will actually spend is not.
Data that isn’t public
Expected medical costs come from claims experience, not from the plan documents anyone can download. That’s the part premium-and-copay tools leave out.
Backed by evidence
Claims-based plan matching is backed by published research: in Milliman’s study of 81,597 members, a best-fit plan would have cost less for 90% of them than the plan they chose.
Kept current for you
Plans, formularies and networks change every year. We reprice every plan as CMS data is released, so your answer is always this year’s answer.
Wherever consumers shop for coverage
Comparison and content sites
Turn a plan list into a personal answer, then connect shoppers who want help to the right licensed agent or carrier.
Enrollment platforms
Many shoppers enroll on their own. Make sure the plan they pick fits their expected care, not just their premium budget.
ICHRA platforms
Employees choosing individual coverage with an employer allowance get recommendations built around their own needs.
Medicare first, through MediPro. ACAPro applies the same approach to ACA shoppers. We never market or sell insurance, so we never compete with you for shoppers.
Show every shopper which plans fit.
Get the API documentation and a walkthrough on a use case like yours.