Visual Design Testing in E-commerce

👀 Lessons from the Most Surprising A/B Test Wins of 2024 📈 Reflecting on 2024, here are three surprising A/B test case studies that show how experimentation can challenge conventional wisdom and drive conversions: 1️⃣ Social proof gone wrong: an eCommerce story 🔬 The test: An eCommerce retailer added a prominent "1,200+ Customers Love This Product!" banner to their product pages, thinking that highlighting the popularity of items would drive more purchases. ✅ The result: The variant with social proof banner underperformed by 7.5%! 💡 Why It Didn't Work: While social proof is often a conversion booster, the wording may have created skepticism or users may have seen the banner as hype rather than valuable information. 🧠 Takeaway: By removing the banner, the page felt more authentic and less salesy. ⚡ Test idea: Test removing social proof; overuse can backfire making users question the credibility of your claims. 2️⃣ "Ugly" design outperforms sleek 🔬 The test: An enterprise IT firm tested a sleek, modern landing page against a more "boring," text-heavy alternative. ✅ The Result: The boring design won by 9.8% because it was more user friendly. 💡 Why It Worked: The plain design aligned better with users needs and expectations. 🧠 Takeaway: Think function over flair. This test serves as a reminder that a "beautiful" design doesn’t always win—it’s about matching the design to your audience's needs. ⚡ Test idea: Test functional designs of your pages to see if clarity and focus drive better results. 3️⃣ Microcopy magic: a SaaS example 🔬 The test: A SaaS platform tested two versions of their primary call-to-action (CTA) button on their main product page. "Get Started" vs. "Watch a Demo". ✅ The result: "Watch a Demo" achieved a 74.73% lift in CTR. 💡 Why It Worked: The more concrete, instructive CTA clarified the action and benefit of taking action. 🧠 Takeaway: Align wording with user needs to clarify the process and make taking action feel less intimidating. ⚡ Test idea: Test your copy. Small changes can make a big difference by reducing friction or perceived risk. 🔑 Key takeaways ✅ Challenge assumptions: Just because a design is flashy doesn’t mean it will work for your audience. Always test alternatives, even if they seem boring. ✅ Understand your audience: Dig deeper into your users' needs, fears, and motivations. Insights about their behavior can guide more targeted tests. ✅ Optimize incrementally: Sometimes, small changes, like tweaking a CTA, can yield significant gains. Focus on areas with the least friction for quick wins. ✅ Choose data over ego: These tests show, the "prettiest" design or "best practice" isn't always the winner. Trust the data to guide your decision-making. 🤗 By embracing these lessons, 2025 could be your most successful #experimentation year yet. ❓ What surprising test wins have you experienced? Share your story and inspire others in the comments below ⬇️ #optimization #abtesting

After 10+ years of optimizing e-commerce websites, I can say this: your Product Detail Pages (PDPs) are most likely draining your marketing budget. Why? Because up to 75% of e-commerce traffic from ads lands directly on PDPs, which are often under-optimized for conversion. While every product and brand is unique, there are some strategies we've learned from extensive A/B testing: 1. First impressions matter - Invest in design and delight. Don't ignore these side-doors shoppers enter from. 2. Conversion levers - Small things matter. Sweat the details. Learn what makes customers bounce or stay, buy and come back for more. 3. Trust signals - You're not Amazon or Apple. New users landing on PDPs don't know and trust your brand yet. Every trust signal you can add helps. I'll be sharing examples of before / after PDPs we've designed to illustrate our learnings. YMMW. Test, test and test more. Here are 9 key PDP improvements that can help beauty brand- The Wellness Shop 1. Add breadcrumbs: They help navigation and encourage deeper catalog exploration/ product discovery. 2. Concise product name & benefit-driven description: A clear product name paired with a one-line benefit statement instantly communicates value. 3. Images or videos of the product being used: Lifestyle images with models using the product (and tagged benefits) build trust and desire. 4 & 9. Give them a path to find other products. Or they'll bounce. "You might also like" or "Similar products" will also increase average order value (AOV). 5. List top product benefits above the fold: Highlight key benefits in a short, skimmable list for quick understanding of "why is this awesome". 6. Highlight savings: Display discounts and offers prominently near the "Add to Cart" CTA to create urgency and to motivate customers to buy. 7. User-Generated Content (UGC) Videos: Authentic customer videos build trust and demonstrate real-world product use. 8. Add well designed enhanced product details: a. Before & After Visuals: Showcase tangible results. b. Usage Instructions: Simple steps demonstrate ease of use. c. Comparison Table: Position your product against competitors. Found this useful. Would love to hear in the comments! DM me to learn more about optimizing your PDPs or any ecommerce page! #conversionrateoptimization #PDP #ABtesting

A multi-million-dollar mistake many brands make: treating A/B testing as something you do after launching a new site. They pour millions into a redesign and cross their fingers on launch day. Not only are they missing a huge opportunity, they’re taking a huge risk. Launching a redesigned storefront that hasn’t been tested can materially damage key metrics like conversion rate, revenue per visitor, and AOV. Fixing it can take weeks or months. All the while, you’re losing millions in sales you would’ve otherwise gotten. Smart brands do it differently. Daniel Wellington is a great example. They’re currently working on some major theme updates. While rebuilding parts of their Shopify theme, they're using Shoplift to A/B test every major design decision before it goes into the new build. Think about that. Instead of guessing which PDP layout will convert, they already know. Instead of hoping the new gallery doesn't tank engagement, they've validated it. They're not testing to optimize an existing site. They're testing to build a better site from day one. This is the underutilized superpower of A/B testing: using it as a development tool, not just an optimization tool. The result? Daniel Wellington won't just launch a new theme; they'll launch a pre-validated, data-proven winner. The lesson: Stop treating A/B testing as post-launch homework. Make it part of how you build.

A few years back, I was working with an e-commerce client who was struggling with low conversion rates. We decided to take a deep dive into user behavior to identify pain points. Using Hotjar, we were able to see exactly how users were interacting with their website. We noticed that many users were dropping off during the checkout process. By analyzing heatmaps and user recordings, we identified areas where the checkout flow could be simplified. We used Google Optimize to test different checkout variations, such as reducing form fields and streamlining the payment process. These small UX improvements led to an 17% increase in conversions. Have you ever used user testing tools to identify and fix conversion bottlenecks on your website?