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Security Trust Signals Drive 36.7% More Revenue: A Simple CRO Win

Trust signals optimization results showing 133% conversion rate increase and 37% revenue growth
The Client

Premium Security Equipment E-commerce Retailer

Executive Summary
An online retailer of professional surveillance systems faced trust issues during high-value purchases. Repositioning key trust elements led to a 133% conversion rate increase and 36.7% revenue growth.

Highlights

Our AB test repositioned three key trust elements - customer reviews, support chat, and shipping information based on findings from other similar tests. The results were great:

  • Conversion rate increased from 0.06% to 0.14%
  • Revenue during the test period increased 36.7%

The Challenge

When selling high-ticket security equipment online, trust is very important. Our analysis revealed that while the client had strong trust elements (customer reviews, live chat, free shipping), they were hidden below the fold, inconsistently placed across pages, and not visible during critical decision moments. The impact? Potential customers weren't seeing these confidence-building elements when they needed them most.

Our Solution 💡

Our strategy focused on making trust signals impossible to miss during critical decision points. We analyzed user behavior patterns and identified three key trust elements that needed optimization for maximum impact. Key implementation elements included a persistent floating Google reviews badge that followed users through their journey, strategic placement of the live chat widget for immediate support access, and consistent visibility of free shipping information across all pages.

Technical Implementation ⚡

Control: Trust signals were scattered throughout the page with inconsistent placement. The Google reviews badge was below the fold, live chat was positioned in a standard bottom-left location, and free shipping information had limited visibility. This fragmented approach made it difficult for users to find important trust-building elements during their shopping journey.
Variation: Key trust elements were repositioned for persistent visibility. The Google reviews badge was moved to a prominent floating position, chat support was optimized for better engagement, and free shipping information remained consistently visible.

The Results

The data tells the story:

Metric Control Variation Lift
Users 24,646 24,434 -
Conversion Rate 0.06% 0.14% 133.3%
Revenue - - 36.7%

Reality Check

Let's talk about these numbers for a moment. A 133% conversion rate increase and 36.7% revenue lift are impressive results that validated our trust-first approach. However, we always recommend taking test period results with a grain of salt.

Could we get more precise long-term estimates? Sure – but it would mean running the test longer, delaying the rollout of a proven winner. With such strong statistical significance (p-value < 0.002) and a conservative lift estimate of 103%, we felt confident recommending immediate implementation. After all, the opportunity cost of waiting usually outweighs the benefit of more precise numbers.

Why It Worked 🎯

Persistent trust signaling built confidence, as users who saw consistent trust signals throughout their journey were more likely to complete high-value purchases.

Accessibility drives engagement, with the optimized chat widget position leading to increased support interactions, helping customers get answers exactly when they needed them. Finally, value proposition visibility matters, as keeping free shipping information consistently visible reinforced value throughout the purchase journey.

Let's Talk 💬

Are your trust signals working hard enough? We'd love to analyze your site and find your next big win. Book a call with our CRO team today.

Appendix: Test Parameters and Statistical Analysis

Test Parameters

Parameter Setting
Device targeting Desktop only
Browser targeting All major browsers
User segments All desktop traffic
Page scope Site-wide implementation

Statistical Analysis

Metric Value
Confidence level 99%
Z-score 2.91
P-value 0.0017893
Conservative lift estimate 103%
Sample size 49,080
Participation rate ~50%
Field Notes
"When there are a lot of trust elements and benefit statements, we often find that there is significant room for optimization.  This test shows just how impactful careful positioning of these elements can be."
Devon Cox President, ConversionTeam
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