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How We Boosted Conversions 18.8% By Optimizing App download placement

Metric cards showing 18.8% conversion rate increase and 23.4% revenue lift
The Client

National Multi-Channel Furniture Retailer

Executive Summary
A leading furniture retailer's desktop app promotion was underperforming with a 0.55% conversion rate. By repositioning their shadowbox from bottom to top of screen, conversions increased 18.8% and revenue per user jumped 23.2%.

Highlights

We identified that the shadowbox's bottom position competed with natural user scrolling patterns. By implementing a top-positioned variant, we created a more intuitive user experience that delivered immediate results.

Key achievements:

  • Conversion rate increased from 0.55% to 0.65% (18.8% lift)
  • Improved revenue per user by 23.2%

The Challenge

The client's desktop app promotion wasn't performing as expected. Their existing shadowbox popup, appearing from the bottom of the screen, was getting ignored.

Our Solution 💡

We proposed a simple change: move the promotion shadowbox from the bottom to the top of the screen. Our hypothesis? This would create a more natural, less disruptive user experience that would drive better results.

Here's what we implemented:

  • Top-positioned shadowbox with smooth sliding animation
  • Maintained existing promotional content
  • Enhanced phone number validation for multiple formats
  • Added full accessibility features including ARIA labels

Technical Implementation ⚡

Understanding that simplicity often drives the best results, we designed our test implementation to isolate the impact of the shadowbox position change on desktop:

  • Desktop-only test
  • 50/50 traffic split
Control: The app download promotion appears at the bottom of the page, sliding up when triggered.
Variation: We moved the same promotion to the top of the page, where it slides down when triggered.

The Results

Moving our app download promotion from bottom to top of page drove substantial improvements across key metrics. The conversion rate increased from 0.55% to 0.65%, representing an 18.8% lift (p < 0.05). This optimization also generated a 23.4% increase in revenue.

Reality Check

That was a huge increase, and frankly not really believable as a long-term outcome. While we were excited about these initial results, we advised the client that these two-week numbers were likely on the high side. Test periods can sometimes show amplified outcomes compared to long-term performance. The key takeaway was that we had statistical confidence the top placement outperformed the bottom placement. Getting more precise long-term estimates would have required extending the test, but with such clear positive signals, the opportunity cost of delaying rollout wasn't justified. We recommended moving forward with the winning variation to start capturing value immediately.

Result Table:

Metric Control (Bottom) Variation (Top) Lift
Users 53,139 53,162 -
Transactions 291 346 18.8%
Conversion Rate 0.55% 0.65% 18.8%
Revenue Lift - - 23.4%

Why It Worked 🎯

Moving the promotion to the top of the page worked by tapping into two fundamental aspects of user behavior and design:

Natural Scanning Patterns: Desktop users typically scan from top to bottom, starting in the upper left corner. By moving our promotion to match this natural eye movement, we caught users' attention before they began scrolling. The results suggest this created a "can't miss" moment at the start of their page interaction.

Clean User Experience: The bottom of the page can get crowded with navigation, footers, and other promotional content. Moving our offer to the top eliminated this competition and gave it room to breathe. Users could focus on one clear call-to-action without distraction.

Let's Talk 💬

Ready to uncover hidden conversion opportunities in your e-commerce site? Let's analyze your user experience and find your next big win. Get in touch for a data-driven consultation.

Appendix: Detailed Test Parameters and Statistical Analysis

Test Parameters

Parameter Value
Device targeting Desktop only
Traffic allocation 50/50 split
Page scope Sitewide implementation
Primary KPI Conversion rate
Secondary KPIs Revenue per user, total transactions
Test duration 14 days
Sample size 106,301 total users

Statistical Analysis

Metric Value
Confidence level 99%
Z-score -2.18
P-value 0.0146157
Conservative lift estimate 12%
Field Notes
"Most teams launch slide-ins and popups in default positions with default animations, then test content and offers. This study flips that on its head - showing that core UI behavior itself hugely impacts performance. I've seen this pattern repeatedly: seemingly small UX choices around timing, position and movement dramatically affect both the direct response and the broader user experience."
Devon Cox President, ConversionTeam
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