312% ROAS Increase in 60 Days
How we transformed a struggling furniture retailer's Google Ads into a profit machine
The Challenge
A premium furniture retailer came to us frustrated and ready to quit Google Ads entirely. Despite spending $42,000/month on Google Shopping and Search campaigns, they were barely breaking even with a ROAS of just 1.8x.
Their previous agency had focused on "maximizing traffic" and "increasing impressions," but the business wasn't growing. They were burning through budget on low-intent searches and getting clicks from people who had no intention of buying $3,000 sofas.
The owner's words: "We're spending more on ads than we're making in profit. Something needs to change or we're done with Google Ads."
What We Found
Wasted Budget on Low-Intent Keywords
37% of spend going to broad match keywords like "cheap furniture" and "furniture ideas" that never converted.
Poor Product Feed Quality
Shopping feed had generic titles, missing custom labels, and no negative keywords.
No Audience Segmentation
Treating first-time visitors the same as people who abandoned $5K+ carts.
Mobile Experience Disaster
57% of traffic was mobile but conversion rate was 0.3% (vs 2.1% desktop).
The AI Training Approach
Instead of tactical tweaking, we trained Google's AI to identify their best customers. Here's how:
Week 1-2: Connect The Dots
Google needed to learn from actual sales, not just clicks.
- Integrated Shopify store with Google Ads conversion tracking
- Imported 18 months of historical purchase data
- Set up enhanced conversions (revenue, profit margin, customer LTV)
- Identified $15.4K/month in wasted spend on low-intent searches
Week 3-5: Build Foundation & Let AI Learn
Consolidated campaigns and gave Google's AI concentrated data to learn from.
- Reduced 23 fragmented campaigns down to 5 consolidated ones
- Optimized Shopping feed (better titles, profit-margin custom labels)
- Improved mobile experience (4.2s load → 1.8s, streamlined checkout)
- Let AI learn customer patterns without daily interference
Week 6-8: Smart Bidding Activation
AI took over pricing, automatically bidding higher on high-value customers.
- Activated target ROAS smart bidding (trained on real purchase data)
- Google automatically identified high-LTV customer patterns
- Costs stabilized—CPA became predictable
- Results showed by week 8 (ahead of 90-day timeline)
Why this worked: Google's AI learned to recognize the difference between someone searching "cheap furniture ideas" (tire kicker) vs "buy Chesterfield sofa online" (high-intent buyer with $3K budget). Once trained, it automatically bid higher on profitable searches and lower on waste.
The Results
Within 60 days, the account was completely transformed:
- ROAS jumped from 1.8x to 5.6x (312% increase)
- Monthly revenue grew from $45K to $186K (313% increase)
- CPA dropped from $78 to $24 (69% reduction)
- Conversion rate improved from 1.2% to 4.8% (300% increase)
- Mobile conversion rate: 0.3% → 3.2% (967% increase)
"Google Ads went from being a necessary evil to our #1 profit driver. We're now spending $65K/month and actually making money." - Business Owner
Quick Facts
- Industry
- E-commerce (Furniture)
- Starting Ad Spend
- $42,000/month
- Timeline
- 60 days
- Main Challenge
- Low ROAS, wasted budget
- Primary Tactics
- Keyword culling, feed optimization, audience segmentation, mobile fixes
Ready for similar results?
Get Free AnalysisStart With Just An Audit
Just get the audit. See what's broken. Then decide.