# How ElevenLabs uses Enterpret

**$10M ARR**: “The mobile app went from $0 to $10M ARR in under six months”

As published on [enterpret.com](https://www.enterpret.com/customers/how-elevenlabs-outgrew-internal-solutions-to-turn-customer-feedback-into-product-decisions), August 2026. Captured by usedby on 2026-10-22.

- Company: [ElevenLabs](https://www.usedby.ai/companies/elevenlabs.md)
- Tool: [Enterpret](https://www.usedby.ai/tools/enterpret.md)
- Industry: [Artificial Intelligence](https://www.usedby.ai/companies/industry/artificial-intelligence.md)
- Teams: product, marketing, engineering

## 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.

Summary written by usedby from the source page, in English. The figures are those of Enterpret and ElevenLabs, not ours.

> 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.

- **30 to 45 minutes**: “saving 30 to 45 minutes of kickoff prep”
- **0.2%**: “in the top 0.2% of mobile apps for revenue growth”

> 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.
>
> Tanmay Jain, Product & Growth

Source: [enterpret.com](https://www.enterpret.com/customers/how-elevenlabs-outgrew-internal-solutions-to-turn-customer-feedback-into-product-decisions), captured 2026-10-22.

> If you’re not operating from the same customer understanding, within a month product, marketing and engineering are talking about completely separate things.
>
> Tanmay Jain, Product & Growth Lead

Source: [enterpret.com](https://www.enterpret.com/), captured 2026-10-22.

## Other AI tools used by ElevenLabs

- [Clay](https://www.usedby.ai/tools/clay.md) — Confirmed
- [Gemini](https://www.usedby.ai/tools/gemini.md) — Confirmed
- [LTX Studio](https://www.usedby.ai/tools/ltx-studio.md) — Confirmed
- [Lovable](https://www.usedby.ai/tools/lovable.md) — Confirmed
- [Ramp](https://www.usedby.ai/tools/ramp.md) — Confirmed
- [Flux](https://www.usedby.ai/tools/flux.md) — Observed

## Enterpret users in Artificial Intelligence

- [Descript](https://www.usedby.ai/companies/descript.md) — Confirmed
- [Wispr Flow](https://www.usedby.ai/companies/wispr-flow.md) — Confirmed
- [Perplexity](https://www.usedby.ai/companies/perplexity.md) — Observed

## What usedby checked

We compared the story with its live page on 2026-10-22.

- Checked: the figure $10M ARR is printed word for word on the page, near the name of ElevenLabs.
- Checked: the passage quoted above is copied word for word from the page, near the name of ElevenLabs.
- Checked: the publication date is read from the page’s own metadata, never guessed.
- Checked: ElevenLabs uses Enterpret. Confirmed line. Latest check across sources: 2026-10-22.
- Not checked: the result itself. We quote it; we did not measure it.

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Source: https://www.usedby.ai/case-studies/elevenlabs-enterpret · How we check: https://www.usedby.ai/methodology