Sub Club by RevenueCat · 2026-03-09
How ElevenLabs Turns Feature Launches Into a Growth Engine – Luke Harries
Short episode with Luke Harries, who leads growth at ElevenLabs. Covers treating every model/feature launch as a growth engine across organic, landing pages and paid ads; a custom GPT trained on best/worst ad copy; an in-house motion-design team using ElevenLabs voiceovers for rapid ad variants; channel-by-channel scaling with Google search as the biggest channel; replacing localization vendors with an LLM GitHub action; and platform lift studies with quarterly incrementality adjustments to allocate a >$100M paid budget.
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Numbers mentioned
| Subject | Metric | Value | Quote |
|---|---|---|---|
| ElevenLabs | ad spend On track to spend over $100M on paid ads by end of year (per host, from pre-show conversation) | USD 100M/year projection | “You shared with me before the podcast that you're on track to spend over $100 million in paid ads by the end of the year.” |
| ElevenLabs | team size AI creative producers (motion designers) making paid ad creative in-house | 2 people | “we have two people which have the job title, AI creative producers” |
| ElevenLabs | growth rate Target week-over-week spend/volume scaling per channel (Google search) | +10–20%/week goal | “week over week, how do you scale it 10%, 20%” |
| ElevenLabs | conversion rate Illustrative lift-study example: platform reports 500 conversions, only 200 incremental (300 would have converted anyway) | 40% illustrative | “you were saying that 500 people converted. Actually, there was only an incremental 200 because 300 people converted anyway” |
| ElevenLabs | count Languages ads are to be localized into (70+) | 70 languages approximate | “it then localizes it into the 70 plus languages” |