Mobile Cart Banner Drives 5% Revenue Lift for Premium Furniture Retailer
Leading Premium Home Furnishings Retailer
Highlights
We implemented a persistent shopping cart banner across their mobile site, keeping selected items visible throughout the customer journey.
Key Achievements:
- Revenue per user increased by 5%, driving significant bottom-line impact
- Conversion rate improved from 0.17% to 0.18% (5.9% lift)
- Cart visibility improved purchase completion with 98% statistical confidence
The Challenge 💡
Mobile traffic was increasing rapidly, but the conversion wasn't keeping up. Users were adding products to cart but failing to complete purchases.
Our Solution ⚡
We proposed adding a persistent shopping cart banner that would remain visible throughout the customer journey.
Cart Banner Features:
- Persistent display of current cart contents
- Clear "Checkout Now" CTA
- Present across all pages except cart
Technical Implementation ⚡
Test Parameters:
- Device targeting: Mobile only
- Browser coverage: All major mobile browsers
- Even split A/B test
The Results 🎯
| Metric | Control | Variation 1 | Variation 2 |
| Users | 865,508 | 868,293 | 865,522 |
| Transactions | 1,466 | 1,501 | 1,583 |
| Conversion Rate | 0.17% | 0.17% | 0.18% |
| Revenue Per User | $1.48 | $1.49 | $1.55 |
| Revenue Lift | — | 1% | 5% |
| Confidence | — | 71% | 98% |
Why It Worked
The persistent cart banner solved a mobile shopping problem by bridging the gap between browsing and purchasing. There were two factors behind its success:
- Maintaining Purchase Momentum
- The persistent cart banner kept selected items top-of-mind throughout the browsing experience, maintaining active purchase intent while allowing customers to continue shopping.
- Strategic Mobile Real Estate Allocation
- Despite limited mobile screen space, the addition of the cart banner proved that strategic additions can outperform minimalist approaches. The 5% revenue lift demonstrated that keeping cart contents visible was worth the screen space investment.
Let's Talk 💬
Want to learn more about how we can optimize your mobile shopping experience? Let's discuss how our data-driven approach can boost your e-commerce revenue.
Appendix: Detailed Test Parameters and Statistical Analysis
Statistical Analysis
| Metric | Value |
| Confidence level | 98% |
| Z-score | 2.12 |
| P-value | 0.0169 |
| Conservative lift estimate | 5% |
| Test lift | 8% |
| Sample size | Over 1.7 million users |
| Test duration | Multiple weeks |
| Participation rate | Even split between variations |
Test Parameters
| Parameter | Details |
| Device targeting | Mobile only |
| Browser targeting | All major mobile browsers |
| User segments | Adult customers only |
| Page scope | Homepage and category pages |
