How More Nutrition turned paid social into a profit engine.

Wrong signals, no scale.

More Nutrition was optimizing for platform-reported ROAS and algorithms that favored their own success over true incremental revenue, while manual media buyers had to log in multiple times a day just to catch losing ads before they burned budget.

Without a real creative engine, testing new angles at scale was impossible, and algorithms kept drifting back to retargeting existing customers instead of finding new ones.

Multi-touch attribution, an AI creative engine, and AdPilot.

Admetrics became More Nutrition's data backbone, pulling API data from over 13 ad platforms plus Shopify and offline retail, then reconstructing each customer's journey with a U-Shape multi-touch model that credits first touch, last touch, and everything in between.

Granular signals like hook rate and video view-through rate fed the creative engine, showing exactly which angles to kill and which to scale, while AdPilot evaluated every ad hourly against strict guardrails.

AD PILOT · SCALE, INCREASE, CUT, KILLLIVE

From platform vanity metrics to true profit.

Within 12 months, More Nutrition cut CAC by over 70%, grew new customer rate by over 65%, lifted AOV by 19%, and increased total revenue from paid social by 81%, all while producing 10x more creative output each week.