Scaling Revenue 216% with Performance Max for a Home Goods Retailer
Home Goods Retailer: Performance Max Revenue Scale
📌 Introduction
A UK home goods e-commerce retailer had been running Standard Shopping and Search campaigns for three years with solid but stagnant performance. At £22,000/month ad spend they were generating £66,000 in Google Ads attributed revenue (3.0x ROAS). We introduced Performance Max with a phased migration strategy that scaled revenue to £158,000/month — a 216% increase — while improving ROAS to 4.6x.
❗ The Problem
The client had reached the ceiling of their Standard Shopping performance. Year-on-year revenue growth from Google Ads had been less than 8% despite increasing budgets by 25%. New customer acquisition costs were climbing, and the account had exhausted the keyword and audience expansion opportunities available in their existing campaign types.
🔍 Identifying the Causes
The account was fundamentally limited by the reach of Standard Shopping and broad match Search. They were capturing high-intent demand effectively but had no mechanism to reach customers earlier in the purchase journey — before they had formulated a specific search query. The Google Display Network campaigns they'd tried previously had poor ROAS because they lacked the AI-powered audience finding that Performance Max provides.
⚠️ Consequences for the Business
Revenue growth had plateaued because the addressable search demand for their category was being captured efficiently but couldn't expand beyond it. The brand was invisible to the 60% of their potential customers who hadn't yet searched for their specific products but were highly likely to purchase based on their behaviour and interests.
✅ Solution
We designed a careful Performance Max migration that protected existing performance while opening new reach. Step 1: Built comprehensive PMax asset groups with 15 headlines, 5 descriptions, 20 images (lifestyle and product), and 5 video assets created specifically for the campaign. Step 2: Configured audience signals using their customer email list (87,000 subscribers), past purchasers, website visitors by category, and custom intent audiences built from their top-converting search terms. Step 3: Implemented product feed segmentation using custom labels to prioritise high-margin, high-conversion products in PMax while managing cannibalisation risk with Standard Shopping through campaign priority settings. Step 4: Ran a 60-day parallel test period before migrating budget from Standard Shopping, monitoring performance daily.
📈 Results
PMax delivered measurably better results from week 3. By day 60: PMax ROAS was 5.2x versus Standard Shopping's 3.4x. New customer acquisition increased 180% (PMax was reaching audiences Standard Shopping missed). Revenue from Google Ads reached £158,000/month — up from £66,000. After reallocating 70% of budget to PMax and retaining 30% in branded Search and Standard Shopping for key categories, ROAS stabilised at 4.6x at scale.
🏁 Conclusion
Performance Max delivers transformational results when implemented correctly — with comprehensive creative assets, strong audience signals, and intelligent product feed segmentation. The key is treating PMax as a new channel requiring its own strategy, not a replacement for existing campaigns with the same approach.
💡 Key Takeaways
Performance Max requires high-quality, diverse creative assets to reach its potential. Audience signals are the most important configuration element — the more data Google receives, the faster it optimises. A phased migration with parallel testing protects existing performance during transition. PMax and Standard Shopping can coexist profitably with clear campaign priority structures.
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