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Proof · not promises

Real pilots.
Measured results.

Every engagement below was measured with geo-lift — the same methodology we'd run on your account. Every number is what the causal model saw, not what the platform reported.

01 Portfolio

Six industries. One pattern.

Across fintech, retail, DTC, consumer tech, health, and hyperlocal QSR — the same methodology produces the same kind of result: truer signal, lower CAC, higher ROAS.

Fintech

Unicorn fintech app cut CPI 37% in one quarter.

−37%CPI
+30%Click→acquisition

“We analyzed campaigns driving 95% of installs. Frequency capping brought immediate efficiency.”

Multi-brand retail

A multi-brand watch retailer hit 4.9× ROAS (1.6× lift) and 40% YoY revenue growth.

1.6×ROAS lift
+40%YoY revenue

“SKU-level keyword grouping + tailored messaging per brand. Quality Score moved from 4 to 9.”

DTC

DTC luggage brand delivered 500% revenue growth in its flagship season.

+500%Revenue
−22%CAC

“Creative IQ caught fatigue 14 days before we would have. We redeployed $220K into variants that actually worked.”

Consumer tech

Gaming accessory brand doubled ROAS on a stuck account.

2.0×ROAS
+46%Incremental rev

“Attribution Inflation Factor of 4.3× on Meta. Reallocated to CTV and podcasts. Board meeting went great.”

Health & PCare

Subscription skincare brand hit +37% click-to-acquisition.

+37%Click→acquisition
−18%CAC

“The 4 audience agents found buyers our lookalikes were missing. Retention cohort quality went up, too.”

Hyperlocal QSR

Multi-city QSR chain lifted store visits 42% via geo-targeted CTV.

+42%Store visits
+18%Same-store rev

“Geo-lift told us CTV was the only channel with statistically significant store-visit lift. We doubled down.”

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