How We Tripled ROAS for a Fashion E-commerce Brand
Fashion E-commerce: 3x ROAS Improvement
📌 Introduction
A mid-size fashion e-commerce brand generating £2.1M in annual revenue came to us after 18 months of disappointing Google Ads results. Their in-house team had been running Shopping and Search campaigns but struggling to scale profitably, with a ROAS that had plateaued at 1.8x — well below the 3x+ they needed to justify ad spend. Within 90 days we delivered a 5.4x ROAS improvement that became the foundation for 40% revenue growth.
❗ The Problem
The client was spending £18,000/month on Google Ads and generating £32,000 in attributed revenue — a 1.8x ROAS that barely covered the combined cost of goods sold and advertising. Every attempt to scale spend resulted in ROAS declining further, pushing the account into negative ROI territory. Leadership was considering cutting Google Ads entirely.
🔍 Identifying the Causes
Our audit revealed three root causes. First, the Shopping feed was critically underoptimised — product titles were manufacturer descriptions with no consumer search terms, categories were broadly mapped, and GTINs were missing for 60% of the catalogue. Second, campaign structure was flat: all 1,400 SKUs competed in a single Shopping campaign with identical bids regardless of margin or performance. Third, there was no remarketing infrastructure — 100% of budget was spent on prospecting with nothing to recapture high-intent abandoners.
⚠️ Consequences for the Business
The poor feed quality meant products were matching to irrelevant search queries at high CPCs. The flat campaign structure meant top-performing products (which converted at 8x the account average) received identical bids to poor performers. Without remarketing, the 73% of users who added items to cart without purchasing were lost permanently. Combined, these issues were wasting an estimated 65% of the monthly ad budget.
✅ Solution
We executed a three-phase transformation. Phase 1 was a complete feed overhaul: consumer keyword-optimised product titles following a [Brand + Product Type + Key Attribute + Size/Colour] formula, full GTIN coverage achieved by cross-referencing manufacturer databases, and precise Google taxonomy category mapping to the 4th tier. Phase 2 restructured Shopping campaigns into Performance Tiers: High-Margin Heroes (top 200 SKUs by revenue and margin with aggressive bidding), Mid-Tier (remaining catalogues with moderate bids), and Clearance (sale items with tROAS targets for profitability). Phase 3 launched a comprehensive remarketing programme: Dynamic Display remarketing for product viewers and cart abandoners, RLSA bid boosts of 40% for past purchasers searching relevant terms, and a YouTube remarketing sequence for high-value users.
📈 Results
After 90 days: ROAS improved from 1.8x to 5.4x. Monthly revenue attributed to Google Ads grew from £32,000 to £97,200 on the same £18,000 budget. The High-Margin Hero tier delivered a 9.2x ROAS. Cart abandoner remarketing alone generated £12,000/month in incremental revenue. The client subsequently increased budget to £35,000/month, maintaining 4.8x ROAS and adding £170,000/month in Google Ads revenue.
🏁 Conclusion
This case demonstrates that Google Shopping success is primarily an optimisation challenge, not a budget challenge. By fixing feed quality, implementing intelligent campaign segmentation, and layering remarketing, we transformed an underperforming account into the client's highest-ROI marketing channel — without spending a single additional pound until results justified it.
💡 Key Takeaways
Product feed quality is the #1 Shopping performance lever. Campaign segmentation by product performance enables margin-based bidding. Remarketing infrastructure is essential — abandonment recovery is high-ROI, low-cost revenue. Scaling should follow optimisation, not precede it.
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