Tripling MRR at Riverside.fm with $450K/Month Paid
How Yaniv Goldenberg ran the paid acquisition function at Riverside.fm, a leading podcast and video recording platform, scaling Net MRR by 337% across Google, Meta, and YouTube.
Riverside.fm is a leading remote podcast and video recording platform. Yaniv ran the paid acquisition function during a phase of rapid scale, growing Net MRR by 337% while managing $450K per month across three channels and building the attribution layer required to make that spend defensible.
Starting Point
Riverside had strong product traction with creators, podcasters, and journalists, and the company was actively scaling paid acquisition. The challenge: maintain unit economics while pushing budget aggressively into channels with very different ROAS profiles, attribution windows, and creative requirements.
What Had to Be Solved
- Scale paid spend without breaking CAC or LTV economics
- Diversify off concentration risk into multiple channels with healthy mix
- Build the attribution layer that could survive iOS 14+ and EU consent loss
- Stand up a creative testing rhythm fast enough to feed Meta and YouTube at scale
- Maintain reporting integrity across attribution model changes month over month
Strategy & Execution
1. Channel mix discipline
$450K per month concentrated in a single channel is fragile. Spreading across Google, Meta, and YouTube created resilience: when Meta CPMs spiked during Q4, Google and YouTube carried the weight without breaking overall CAC.
2. Attribution in a post-iOS 14 world
Built a multi-touch attribution model that combined platform signals with server-side conversion tracking. Gave the team confidence in spend allocation even as platform-reported ROAS diverged from actual revenue.
3. Creative velocity
Meta and YouTube at $450K/month burn through creative fast. Built the testing framework: concept hooks, variation trees, and kill rules. New concepts every two weeks, variations within 48 hours of a winning hook.
4. Unit economics guardrails
Every dollar of spend had a CAC ceiling. Channels that drifted above target got budget pulled within 48 hours. Channels that performed got incremental budget the same week. No quarterly rebalancing cycles.
Results
- Net MRR grew 337% during the engagement
- Managed $450K/month across Google, Meta, and YouTube
- Built multi-touch attribution that survived iOS 14+ signal loss
- Creative testing cadence kept Meta and YouTube performing at scale
- Unit economics held through aggressive scaling phases
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