Built attribution-first, scaled to 7× ROAS across channels.

The situation

Rent For Event is a nationwide US event-production and AV-rental company. This wasn't a rescue of a broken account — it was a build. The brief was to scale acquisition across every channel and, crucially, to make the whole thing measurable, so growth decisions rested on verified revenue rather than disconnected platform reports.

That meant treating attribution as the foundation, not an afterthought: one model tying Google, Microsoft, Meta, and organic together, so every channel could be judged on the revenue it actually produced.

What needed building

• Unified attribution: channels were reported in isolation, with no single view of what drove quote requests and closed revenue.
• Channel concentration: spend leaned on one platform, leaving efficient demand on Microsoft and Meta untapped.
• Underused organic: the site had authority to gain and quote volume to win that paid was carrying alone.

What I did

Built one attribution model across every channel

Stood up end-to-end tracking that tied Google, Microsoft, Meta, and organic to quote requests and revenue — so budget moved toward what verifiably produced pipeline, not what looked good in a single platform's dashboard.

Scaled paid, then expanded it

Restructured and scaled Google Ads from a 1.2× return to 7× ROAS, then expanded beyond the Google ecosystem: Microsoft Ads reached 4× ROAS, and Meta drove quote volume at scale — millions of quote submissions across the program.

Turned organic into a second engine

Technical and content SEO doubled organic revenue and multiplied quote volume ~5×, lifting Domain Rating 28 → 55 and overall traffic ~30% — a compounding channel alongside paid.

Results

Attribution-first, the program produced verified performance across every channel rather than isolated wins:

Alongside the ROAS gains: organic revenue doubled, quote volume up ~5×, Domain Rating 28 → 55, and ~30% overall traffic growth — all reconciled through one attribution model.