Scaling a fashion brand profitably on Meta and Google

Performance Marketing

Restructured campaigns, new creative testing and tracking fixes.

The headline result

ROAS improvement

Sample data. Replace with real client results.

Client

Sample D2C Fashion Brand (sample)

Industry

Fashion & Apparel

Duration

6 months

Platforms

Meta Ads, Google Ads, Shopify, GA4

The challenge

Ad spend was climbing every month, but ROAS kept slipping. Tracking over-reported purchases, so the numbers looked healthier than they were. Creatives had gone stale, and retargeting overlapped with prospecting, so the brand was paying twice to reach the same people.

What we did

The approach, step by step.

01
Fix the tracking first
We rebuilt GA4 events and added server-side conversion tracking so reported sales matched real Shopify orders. The first week showed the real ROAS was lower than assumed, which finally gave us a true baseline.
02
Restructure campaigns
We separated prospecting, retargeting and catalogue campaigns, added audience exclusions, and rebuilt Google Shopping and Performance Max around profitable products only.
03
Weekly creative sprints
Every week we shipped new hooks and formats, tested them against a clear scorecard, and retired losers fast. UGC-style videos became the top performers.
04
Scale step by step
Once ROAS held, we raised budgets in controlled steps of 20%, watching CAC and contribution margin at each stage.

The results

Growth over the engagement

Illustrative trend

ROAS improvement

Revenue growth

Lower CAC

Within six months the brand was spending more, earning more per rupee, and acquiring customers at a much lower cost. Reporting finally matched finance, and the team could plan inventory against a forecast they trusted.