The use case: how CallRail deploys Pendo
CallRail's product team used Pendo to instrument its mobile app, recruit beta users with in-app guides, collect ongoing in-app feedback, build iOS and Android dashboards, and prompt satisfied users for app store reviews while rebuilding its mobile app.
More reported results
Figures published in Pendo’s case study. They are not independently measured by usedby.
A persistent "Share Your Feedback" form generated more than 500 responses during beta and after launch.
About 40% of users selected "Yes" and were sent to the app stores.
In the customer’s words
We really would have been flying blind without Pendo.Other AI tools used by CallRail
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Based on Pendo’s published case study. We check the public evidence; the results are reported by the vendor.
pendo.io- Last checked
- Nov 13, 2026
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- The figure: 25%Checked
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- CallRail uses PendoChecked
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A persistent "Share Your Feedback" form generated more than 500 responses during beta and after launch. This gave the team a steady stream of high-signal insights—enough to accelerate iteration cycles and keep decisions grounded in reality.