Main Image Monthly: Click-through Rate DOUBLED from 7% to 14% The team is back for Main Image Monthly, diving into the art and science of Amazon listing images. This episode focuses on real-world testing, image optimization, and how small changes can lead to massive improvements in conversion rates. 🔹 Case Study: A Best-Selling Knee Pillow

• Sim introduces the featured product: a memory foam knee pillow that dominates sales but suffers from poor image presentation.
• High return rates and review challenges make image optimization even more crucial.
• The brand owner admitted the main image was weak—perfect for testing!

The Testing Process: How to Find the Best Image 1️⃣ Qualitative Testing – What Do Shoppers Really Want? Matt walks through the first step: asking real customers what they look for when buying a knee pillow. Key takeaways: ✅ Washable cover is a top priority. ✅ Orthopedic approval builds trust. ✅ People love to see brand credibility (GQ & The Guardian features stood out). ✅ Strap visibility was a key decision factor. ✅ Color choices impact buying decisions (darker colors seen as easier to maintain). 2️⃣ First Round of Image Redesign Dorian revamps the main image based on initial feedback: ✔ Better angle to highlight the pillow's shape. ✔ Color contrast to make the image pop. ✔ Memory foam texture enhanced to visually communicate quality. ✔ Callout labels added (Doctor-developed, Washable cover). 🚨 First test result? Only a 1% improvement 😬 3️⃣ Data-Driven Refinements Armed with more shopper insights, the team doubles down on what works: ✔ Stronger doctor credibility: "Doctor Developed" added front and center. ✔ More visible strap feature (a big differentiator). ✔ Washable cover highlighted boldly—this resonated the most. ✔ Union Jack added for "Made in UK" trust factor. ✔ Final test result? Click-through rate DOUBLED from 7% to 14%! 🚀 Final Insights: The Importance of Continuous Testing ✅ A/B Testing Isn't One-and-Done – Many tests fail before a winner emerges. ✅ Even "Better Looking" Images Can Lose – A sharper photo doesn't always convert better. ✅ Amazon Manage Experiments is Flawed – It takes time and doesn't always provide accurate A/B insights. ✅ Small Changes Have Huge Impact – A tiny tweak like mentioning "washable cover" can double sales. Key Takeaways for Amazon Sellers

• Invest in High-Quality Product Photos – If the base image is bad, no amount of editing will fix it.
• Listen to Your Customers – Run polls and qualitative tests before making changes.
• Test Frequently – The best sellers iterate constantly to find incremental gains.
• Leverage Contrast & Callouts – Use bold colors, highlights, and credibility markers to stand out.

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