The use case: how ElevenLabs deploys Enterpret
ElevenLabs uses Enterpret to bring app store reviews, support tickets and social feedback together and link them to product metrics such as activation, retention and conversion. The team queries it from Slack and receives an automated weekly digest that informs product and monetization decisions.
More reported results
Figures published in Enterpret’s case study. They are not independently measured by usedby.
saving 30 to 45 minutes of kickoff prep
in the top 0.2% of mobile apps for revenue growth
In the customer’s words
People hate spending on things they think they could get for free. But past that, the real issue was clarity: users didn't understand why or when a credit is consumed, how it maps to a bit of voice, video, or image, or how to control it.If you’re not operating from the same customer understanding, within a month product, marketing and engineering are talking about completely separate things.Other AI tools used by ElevenLabs
Other public relationships recorded on usedby.
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Enterpret users in Artificial Intelligence
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Go straight to the source
Based on Enterpret’s published case study. We check the public evidence; the results are reported by the vendor.
enterpret.com- Source published
- Aug 10, 2026
- Last checked
- Oct 22, 2026
Open source capture What the story claims, and what we checked
What we compared with the page.
- The figure: $10M ARRChecked
Printed word for word on the page, near the name of ElevenLabs.
- The passage quoted aboveChecked
Copied word for word from the page, near the name of ElevenLabs.
- The publication dateChecked
Read from the page’s own metadata, never guessed.
- ElevenLabs uses EnterpretChecked
Confirmed line.
- The result itselfNot checked
We quote it; we did not measure it.
The result: the app went from $0 to $10M ARR in under six months (top 0.2% of mobile apps for revenue growth), a reworked monetization strategy, and an automated weekly digest that replaced 30 to 45 minutes of Monday prep.