Scaling a Premium Fashion Brand to 50k Monthly
4.8x
Avg ROAS
140%
Revenue Growth
10.42
CPA In Pounds
50k+
Monthly Sales
The scaling bottleneck was a result of data signal loss.
Before our intervention, the brand was operating on a standard browser tracking model. This resulted in a 40 percent discrepancy between Meta Ads Manager and actual Shopify bank records. We identified that the algorithm was starving for high quality signals, leading to inefficient spend and high customer acquisition costs.
- Tracking Server Side CAPI
- Platform Meta Ads Manager
- Attribution 7 Day Click 1 Day View
- Scale Model Vertical Scaling
Verified Ads Manager Evidence
Click the image below to inspect the performance metrics and campaign structure.
Note: Sensitive campaign names and secondary account data have been blurred for privacy compliance.
Creative Led Growth Model
We pivoted away from complex interest targeting which has become unreliable in 2026. Instead, we used a Broad Audience approach. We engineered three distinct creative pillars: High Polish Studio, Candid Smartphone UGC, and Direct Response Statics. By letting the creative assets act as the primary targeting tool, we allowed the Meta AI to find buyers based on visual engagement patterns.
Scaling Phase Logic
The scaling was not done randomly. We applied a strict 20 percent budget increase rule every 48 hours, but only if the ROAS remained 20 percent above our break even point. This conservative but aggressive approach ensured that the revenue grew without the typical performance dip seen in rapid scale operations.
This infrastructure now generates a consistent 4.8x return with zero manual audience maintenance.