Stop Guessing. Start Optimising Amazon Listings With Data.
See how the Amazon Full Listing Optimiser tool uses Alexa shopper research, competitor insight and listing analysis to improve copy, images and A+ content.
Thursday, June 11th • 11 AM EST | 4 PM BST
Reserve Your Free Seat
What You’ll See Inside The Webinar
I’ll walk you through the full Amazon Full Listing Optimiser process: how it researches a product, asks Alexa shopping questions, analyses shopper and competitor insight, and uses that data to create a serious optimisation plan.
Why generic AI image updates can miss the deeper AI-shopping optimisation problem
How Alexa questions reveal product-specific shopper behaviour
How the workflow uses real data to optimise copy, images, A+ content, and reports
How the HTML report shows the changes, the evidence, and the generated assets
Includes Alexa-backed evidence, copy changes, image samples, and A+ graphics produced by the workflow.
Hosted by Sam Hersh
I’m a 7-figure Amazon seller with 13 years in ecommerce. I build process-driven, data-led systems for Amazon and marketing automation.
This webinar shows one of the most advanced workflows I’ve built so far: a Codex-based listing optimiser designed to move beyond generic prompts and into real product-specific optimisation.
The 3-Part Process You’ll See
01 - Research
The workflow researches the product and asks Alexa shopping questions to uncover shopper behaviour, objections, and competitor context.
02 - Optimise
It uses that data to improve listing copy, image strategy, gallery structure, and A+ content.
03 - Report
It produces an HTML optimisation report showing the changes, the evidence, and samples of the generated assets.
Join the webinar and I’ll show you the full workflow, including the optimisation report, Alexa-backed data, and image/A+ samples produced by the tool.
Want To See The Full Process?
Reserve Your Free Seat
