Google Ads Case Studies
A selection of real-world Google Shopping & Performance Max campaigns I’ve personally built and scaled for established DTC brands.
An established DTC apparel brand struggling to scale Google Shopping profitably while maintaining healthy margins.
Results (30-day snapshot, post-rebuild): Account takeover in late June. Snapshot reflects stabilized performance in November.
ROAS: 4.76 → 9.20
Revenue: $11.1K → $31.4K
Purchases: 50 → 104
Case Study #1 — Apparel DTC Brand
Results (30-day snapshot, post-rebuild)
Below is a snapshot of account performance before and after the rebuild.
Before
Google Ads managed by a previous agency
30-day snapshot: 4.7x ROAS · $11.1K revenue on $2.3K spend
After
Google Ads rebuilt and scaled
30-day snapshot: 9.61x ROAS · $32.8K revenue on $3.4K spend
How I scaled Google Shopping profitably
Separated brand vs non-brand to control spend and scaling
Launched feed-only PMax to focus on Shopping performance
Fixed conversion prioritization to remove conflicting signals
Improved PMax signals, creatives, headlines & extension
An established food & beverage DTC brand looking to scale Google Shopping during peak season without sacrificing profitability.
Results (peak-season snapshot, post-rebuild): Performance compares Black Friday–November year-over-year to account for seasonality.
Revenue: $39.4K → $83.6K
Purchases: 554 → 674
Case Study #2 — F&B DTC Brand
Results (30-day snapshot, post-rebuild)
Below is a snapshot of account performance before and after the rebuild.
Before
Google Ads managed by a previous agency
Peak-season 2024: $39.4K revenue · 554 purchases (Black Friday–November)
After
Google Ads rebuilt and scaled
Peak-season snapshot: $85.7K revenue · 701 purchases (Black Friday–November)
How I scaled Google Shopping profitably
Launched feed-only Shopping campaigns
Gradually increased budgets ahead of Black Friday
Scaled only while ROAS stayed above target
Separated brand vs non-brand traffic to control spend
