The voiceover rebuild
Lumen5's signature video format was born in 2018 and starting to show it. We rebuilt the product around AI voiceovers, and paid conversions jumped about 40%.
The setup
Lumen5 made its name on a style we called text-on-media: stock footage with animated captions, built straight from a blog post. Groundbreaking in 2018. By 2023 it had grown stale, and everyone could feel it. Social feeds had moved to voice-led video, and our output looked like what it was: a format from five years ago.
The bet was to rebuild the product around voiceover-driven videos, with ElevenLabs providing the voices. Not a feature bolted onto the side. A new spine for the whole creation flow.
What I owned
- The voice-provider evaluation and the internal case for ElevenLabs over the alternatives. We were an early Enterprise customer (they didn't have a sales team yet), and I later negotiated our pricing to roughly 30% under budget.
- The transcript-based editing experience: scenes timed to words, click a sentence to seek, edit the script and the video follows.
- Script Composer, the LLM-powered flow that turns a prompt into a voiceover-ready script. It cut video-creation time by about 30% versus starting from scratch.
- The pricing and paywalls for the new format: voiceover minute limits, plan tiers, and the paywall experiments that drove free-to-paid conversion.
How it played out
The product-sense signal came first. Videos stopped being walls of text, so the visuals could breathe and text became strategic emphasis (we called these animated highlights). The voiceovers gave everything a human quality text-on-media never had, and Enterprise customers told us the videos simply performed better.
Then the numbers agreed. Paid purchases ran about 40% higher than text-only videos. The format hit its adoption goal in three months and doubled it within the year, with roughly 40% of new customers choosing it. Script Composer beat its own adoption target by 1.7x. Within a year, voiceover videos had overtaken the format that built the company, on both the self-serve and Enterprise sides, and deals were won specifically because of the capability.
I rebuilt the transcript-timed editing model as a live demo: scenes timed to words, click-to-seek, and an AI voiceover button.