150 episodes listed below
Amazon selling, tested in the open.
Seller Sessions treats Amazon selling as a working room, not a lecture hall. Recent episodes move through listing images, brand design, Claude workflows, n8n automation, and e-commerce research with practical scrutiny.
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Seller Sessions is a practical Amazon commerce show centered on the messy work behind better listings, sharper creative assets, and more useful operating systems. Recent episodes lean heavily into live analysis. A product image is not just an image here; it becomes a question about click-through behavior, buyer comprehension, packaging hierarchy, and whether the main claim is visible fast enough. The show is especially strong when the panel is looking directly at marketplace examples. Dorian, Matt, Sim, Danny, and guests move from first impression to testable hypothesis with little ceremony. That rhythm gives the show a working-session quality. One episode can focus on microfiber cloth rolls and the problem of showing cost savings clearly, while another breaks down whipped beef tallow packaging and asks which claim belongs on the label. Design is treated as a conversion tool, not decoration. Typography, color, icons, secondary image stacks, brand guidelines, and AI-generated assets all get judged by what they help a shopper understand. The newer Claude Sessions and Go With The Flow formats widen the brief. They bring in Claude projects, SP-API setup, memory files, hooks, n8n workflows, prompt variables, generative image tools, and broader AI implementation for e-commerce teams. The show also makes room for research-led episodes, including discussion of Amazon science papers and the future of product recommendation planning. It is not a tidy executive-summary podcast. Sentences bend, contributors interrupt, screens are shared, and examples drive the conversation. That can make it dense, but it also keeps the advice close to the actual work sellers face. The best moments come when a visual reaction becomes a commercial principle: make the buyer understand the value faster, remove what adds nothing, test the claim before assuming it matters. Seller Sessions suits advanced sellers, brand operators, and e-commerce teams who want concrete teardown language more than motivational business talk. It is direct, specific, and comfortable saying when an asset, workflow, or idea is not yet doing its job.
Made for: Built for Amazon sellers, private-label operators, and e-commerce teams already thinking about conversion, creative testing, marketplace tooling, and AI implementation. It suits listeners who want practical teardown logic rather than beginner-level selling advice.
What sets it apart: The show’s edge is its live diagnostic format: listings, images, workflows, and research are inspected as working material. Advice usually lands as a testable commercial change, not a broad opinion.
Seller Sessions is the largest Amazon FBA and Private Label podcast for Advanced Amazon Sellers. It is the first of its kind, in terms of being raw, non nonsense and straight to the point. A lot of Amazon podcasts that came after has followed by example... Seller Sessions is published 4 times per week and often breaks new trends first in the industry. Host Danny McMillan, is a world renowned public speaker and veteran Amazon Seller, Danny is also the co-founder of DATAbrill. DATAbrill manages Amazon PPC and advertising automation for 6, 7 & 8 figure Amazon brands.Danny also works with Amazon in the UK to provide webinar content for their 3rd party sellers. Each year he hosts Seller Sessions…
Based on 4 episodes we listened to · September 2026
Seller Sessions makes commercial design legible by connecting packaging, listing images, interface choices and AI workflows to concrete tests.
Seller Sessions Amazon FBA and Private Label treats product-page design as a working craft. Danny guides collaborative critiques in which products, listings and design workflows are examined on screen, revised and tested.
Like a design crit with money on the line, only your Amazon listing is the homework.
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Short reviews from the PlayNext desk, based on the episodes we processed.
Dorian and Danny build Amazon listing graphics, then test them with 50 shoppers.
A wooden utensil listing gives Dorian and Danny a specific problem to work through: how can an Amazon seller make graphics look consistent without paying for brand guidelines? Dorian uses Stitch by Google to explore a visual direction and make infographics easier to read.
Anna's home-product listing gets a shopper-focused image critique.
Anna brings a product from the home brand she launched with her husband to a Seller Sessions listing review. She wants the images to make its features and benefits clearer and help improve conversion.
Danny and Shabazz discuss how to carry Claude project decisions between sessions and whether an always-on setup is necessary.
Danny and Shabazz talk about using Claude in e-commerce work, then settle on a familiar snag: a decision that seemed settled in one session can be hard to find in the next. Danny keeps project context in files and a master log.
Erin's whipped beef tallow lotion prompts a closer look at what its main image should show.
Erin's whipped beef tallow lotion gives Sim and the panel a specific problem to work through: what should a shopper notice in its main image? They look at the room on the packaging and weigh an ingredient, scent, texture claim and US origin as possible points of emphasis.
Practical business thinking, one interview at a time.
Practical commerce talk for real operators.
Shopify growth through the operator’s lens.
DTC growth strategy with the math left in.
The hosts discuss optimizing Amazon main images for a board game brand that drives traffic from TikTok.
Anthony Nguyen discusses using top-of-search PPC data for split testing to improve Amazon product listings and campaigns.
Danny and Ritu discuss advanced AI image and video prompting techniques for e-commerce, highlighting the growing use of generative AI in ad creatives.
Adam and host discuss using Amazon API to pipe real-time data into AWS for advanced analysis, and an eight-step AI workflow for design inspiration and conversion.
No listing teardown this time.
Seller Sessions hosts Danny and Shabazz explain how Amazon SP-API can provide direct access to inventory, orders, pricing, catalog, sales, and traffic data.
Anna brings a new home category product to the panel, and the listing gets treated like a live conversion problem.
Week three starts a little late.
Erin brings whipped beef tallow to the table.
Danny and Dorian discuss mastering N8N automation with visual workflows, covering basics and advanced tips.
Danny and Andrew discuss an Amazon science paper that predicts AI will enable e-commerce platforms to plan entire projects, like decorating for a Halloween party, by recommending products at each step.