Main Image Monthly: Click-through Rate DOUBLED from 7% to 14%

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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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