+ E-commerce · Fashion & Apparel

A 5.3x ROAS in peak season for a fashion and apparel brand

Real revenue that held up as spend scaled through peak

A 5.3x ROAS in peak season for a fashion and apparel brand case study

Client

Confidential

Industry

E-commerce · Fashion & Apparel

Services

Performance Max, Google Shopping, Google Ads, eCommerce Marketing

01

Challenge

A New Zealand fashion and apparel brand needed Google Ads to carry real revenue through its peak trading season without the return collapsing as spend scaled. Apparel is a crowded, discount-driven category with high seasonality, so the account had to lean into the peak window hard while holding a profitable return across both Shopping and Performance Max.

02

Approach

Ran Performance Max as the core engine, seeded with strong product imagery, value-based audience signals from past purchasers, and a feed built for apparel attributes so the algorithm could match the right product to the right shopper. Kept a standard Shopping campaign alongside it for control and reporting clarity.

Leaned budget into the peak season deliberately, held ROAS guardrails so scaling never outran profitability, and refreshed creative assets to keep performance from fatiguing through the window.

03

What we delivered

Performance Max

  • Asset groups
  • Value-based signals
  • Apparel feed

Google Shopping

  • Control campaign
  • Reporting clarity

Scaling

  • Peak-season budget
  • ROAS guardrails
  • Creative refresh

Built with

Performance Max Google Shopping

04

Results

5.3x

Return on ad spend in peak season

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Real revenue that held up as spend scaled through peak. Tell us about your business and we will show you what we can do for you.

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