The use case: how Esurance deploys Heap
Esurance uses Heap's Path Analysis to see the routes users take through its website and where they drop off when changing coverage, and uses Autocapture to find friction in the quote flow. The teams use these findings to fix problems and measure the effect of each change on conversion.
More reported results
Figures published in Heap’s case study. They are not independently measured by usedby.
By implementing a fix, the team was able to reduce simple typing errors by a whopping 80%, lowering error rates to an impressive 1.6%.
As a result, the number of password reset support calls decreased from 33k a month to just 2,500 a month.
In the customer’s words
People several levels above us gave kudos to everyone that was involved just because we acted so quickly because Heap was able to tell us exactly what was going on.Heap users in Insurance & InsurTech
Companies in the same sector, with public evidence.
See all Heap customersGo straight to the source
Based on Heap’s published case study. We check the public evidence; the results are reported by the vendor.
heap.io- Last checked
- Nov 13, 2026
Open source capture What the story claims, and what we checked
What we compared with the page.
- The figure: $225KChecked
Printed word for word on the page, near the name of Esurance.
- The passage quoted aboveChecked
Copied word for word from the page, near the name of Esurance.
- Esurance uses HeapChecked
Confirmed line.
- The result itselfNot checked
We quote it; we did not measure it.
As a result, the number of password reset support calls decreased from 33k a month to just 2,500 a month. This has saved Esurance an average of $225K a month since the fix went into production.

