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Could one image change unlock more clicks and sales? Learn how Amazon sellers are using AI, split testing, and shopper feedback to stop guessing.
What if the biggest improvement to your Amazon listing was not a new product, a lower price, or a bigger ad budget, but a better creative decision? In this episode of the AM/PM Podcast, Bradley Sutton sits down with Daniela Bolzmann of Mindful Goods, Justin Chen of PickFu, and Kamaljit Singh of AMZ One Step to break down how Amazon sellers can use AI, split testing, and real shopper feedback to build listing images that convert.
The panel also breaks down why split testing is no longer optional for serious Amazon sellers. Justin explains how sellers can test main images, secondary images, videos, and even competitor comparisons before making changes live on Amazon. Instead of risking sales with untested creative, sellers can use feedback from real shoppers to understand what actually drives clicks, builds trust, and helps products stand out in crowded search results.
From storefront optimization to A+ Content, Rufus/Alexa readiness, video testing, and AI-generated ads, this episode is packed with practical ways to make smarter creative decisions. The inspiring lesson is simple: the sellers who grow are not always the ones with the biggest budgets, but the ones willing to test, learn, and improve. When you combine data, creativity, AI, and customer feedback, every listing becomes an opportunity to build something stronger.
In episode 532 of the AM/PM Podcast, Bradley, Daniela, Justin, and Kamal discuss:
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210210 ratings
Could one image change unlock more clicks and sales? Learn how Amazon sellers are using AI, split testing, and shopper feedback to stop guessing.
What if the biggest improvement to your Amazon listing was not a new product, a lower price, or a bigger ad budget, but a better creative decision? In this episode of the AM/PM Podcast, Bradley Sutton sits down with Daniela Bolzmann of Mindful Goods, Justin Chen of PickFu, and Kamaljit Singh of AMZ One Step to break down how Amazon sellers can use AI, split testing, and real shopper feedback to build listing images that convert.
The panel also breaks down why split testing is no longer optional for serious Amazon sellers. Justin explains how sellers can test main images, secondary images, videos, and even competitor comparisons before making changes live on Amazon. Instead of risking sales with untested creative, sellers can use feedback from real shoppers to understand what actually drives clicks, builds trust, and helps products stand out in crowded search results.
From storefront optimization to A+ Content, Rufus/Alexa readiness, video testing, and AI-generated ads, this episode is packed with practical ways to make smarter creative decisions. The inspiring lesson is simple: the sellers who grow are not always the ones with the biggest budgets, but the ones willing to test, learn, and improve. When you combine data, creativity, AI, and customer feedback, every listing becomes an opportunity to build something stronger.
In episode 532 of the AM/PM Podcast, Bradley, Daniela, Justin, and Kamal discuss:

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