£1,200sofasdon'tsellthemselves.Neithershouldyourads.
47-day consideration cycles. 300+ product configurations. 10 conversions a month. Standard Google Ads strategies don't work for furniture. Ours do.
Part of our approach to
High-SKU Retail
Home and living brands share the challenges of high-SKU retail: configuration complexity, spend concentration across product lines, and margin variability.
The Challenges
Why home brands struggle with Google Ads.
The 6-Week Browse Problem
Your customer researched for 47 days before buying that sofa. They visited 12 times, compared 8 competitors, and the algorithm has no idea who deserves credit. Last-click attribution is lying to you.
The Configuration Nightmare
One sofa. 4 sizes. 28 fabrics. 3 leg finishes. That's 336 SKUs for a single product. Your feed is chaos, your campaigns are averaging performance across variants that couldn't be more different.
The Low-Volume Data Trap
10 conversions a month at £1,200 AOV? Google's algorithms are flying blind. Standard tROAS bidding needs hundreds of conversions to optimise. You don't have that luxury.
Our Approach
How we make home advertising profitable.
Room-Based Intent Architecture
We structure campaigns around how people actually shop for their homes. 'Living room furniture' has different intent than 'home office desk'. Each gets its own strategy, budgets, and targets.
Low-Volume Bidding Mastery
We've developed custom approaches for high-AOV, low-conversion scenarios. Micro-conversions, value-based bidding adjustments, and manual oversight where algorithms fail.
Configuration-Aware Feeds
Your bestselling fabric/size combo gets hero positioning. That dated print nobody orders? Suppressed from expensive placements. Every configuration earns its budget.
Cross-Purchase Intelligence
Someone bought a dining table? They need chairs. Someone bought a sofa? They're looking at rugs. We build campaigns that capture natural purchase sequences.
The Difference
Generic agency vs. Judeluxe for home brands.
| Aspect | Generic Agency Standard approach | Judeluxe Sector expertise |
|---|---|---|
| Low-volume bidding | Uses tROAS despite insufficient conversion data | Custom low-volume strategies with micro-conversions and manual oversight |
| Configuration complexity | Treats 336 fabric/size combos as one product | Configuration-aware feeds prioritising profitable variants |
| Attribution model | Last-click attribution for 47-day journeys | Multi-touch models designed for long consideration cycles |
| Cross-purchase strategy | No connection between product categories | Sequential campaigns capturing natural purchase patterns |
| AOV protection | Scales volume at any cost to average order value | Growth strategies that maintain premium price positioning |
Results
What we've achieved for home brands.
0%
POAS improvement for premium furniture retailer
£0
Average order value maintained while scaling 3x
0%
Increase in multi-product orders
Case Study
Premium Furniture Retailer
A mid-market furniture brand was struggling with Google's automated bidding. Low conversion volume meant the algorithms never had enough data to optimise properly. We rebuilt their account with a custom approach designed for high-AOV, low-volume scenarios. The result: profitable scaling without sacrificing average order value.
189%
POAS improvement
£847
AOV maintained
3.2x
Profitable scale
FAQ
Common questions about Google Ads for Home & Living.
Proof in This Sector
Related Case Studies
Choosing an Agency?
How to Choose the Best Google Ads Agency for Home & Furniture
Long consideration windows, delivery economics, and high-AOV funnels - what separates specialists.
Read the comparison guide →Ready to make your home brand ads profitable?
Book a 30-minute discovery call. We'll show you exactly where your home brand is leaving money on the table.
If we're not the right fit, we'll tell you and often recommend alternatives.
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