Seller Sessions Amazon FBA and Private Label

Building Repeatables in Claude: Skills, CLI vs MCP and Token Discipline | Go With The Flow Claude Skills, CLI vs MCP and Token Discipline with Ritu Java | Seller Sessions SEO Description Ritu Java and Danny McMillan on building agentic skills, choosing CLI over MCP, plan mode discipline and the short window to ship before token costs reset. Episode Summary Week 4 of the month, Go With The Flow, and Ritu Java is back from her travels. The world has shipped fast since the last episode: Codex 5.5, Claude 4.7, an Amazon Ads MCP and a fresh round of panic over the rumoured removal of Claude Code from the $20 plan (it was a 2% AB test, not a rollout). Ritu and Danny use the noise to make a sharper point: this is the moment to stop chasing models and start building repeatable systems on the platform you have already chosen. Ritu walks through the three eras of PPC Ninja's automation stack. Apps Script bulk file generators three years ago, Netlify hosted UI apps last year, and now agentic skills that her team chats with in plain English to produce upload ready Amazon bulk files. The same shift applies to data: BigQuery accessed through the Google Cloud CLI rather than through MCP, because CLI is leaner on tokens and works better when the job is heavy on data rather than tool surface. Danny mirrors the move with his event-ops CLI for WordPress, WooCommerce, Stripe and FooEvents reconciliation, and his four tier ExtractFlow cascade (HTTP, headless, stealth, agentic) that bypasses the limits of any single browser tool. The second half is a discipline talk. Plan mode every time. Push back on the first plan because Claude over engineers by default. 30% of your time on workflow scaffolding so the other 70% can be real building. The 21 day Claude rule: when a shiny new tool fires the dopamine, wait 21 days before refactoring around it. Left brain tasks (counting, SQL, deterministic logic) belong in scripts. Right brain tasks (judgment, creativity, hypotheses) belong in the model. Mix them inside a single skill. Skills are micro pieces of your workflow, not magic, and Claude can write them for you from an existing SOP. Key Topics The three eras of PPC Ninja automation: Apps Script, Netlify UI apps, agentic skills CLI vs MCP: when to choose each and why CLI is more token efficient for data heavy work Token economics, the rumoured $20 plan change and why it was a 2% AB test The short window before subsidised tokens get repriced Plan mode discipline and the "push back on plan one" rule Danny's 30 / 70 framework: workflow scaffolding vs building The 21 day Claude rule for resisting tool churn Left brain vs right brain task design inside a single skill The PPC Ninja "5 Whys" skill: deterministic SQL plus non deterministic hypotheses Claude.md, Gemini.md, Skills.yaml and the emerging Agents.md standard Skills for beginners: let Claude write them from your SOP Skill cascading: research, article, LinkedIn post, tweets, slide deck in one chain Timestamps [00:01] Welcome back, Week 4 Go With The Flow, Ritu returns from travels [00:17] Codex 5.5, Claude 4.7 and the "no one is writing code anymore" reality [02:01] Ritu on the three eras of PPC Ninja automation [02:42] Era 1: Apps Script bulk file generators in Google Sheets [03:46] Era 2: Netlify hosted UI apps with input fields [04:48] Era 3: Agentic skills, the bulk file skill trained on Amazon templates [06:22] Cloud talking to BigQuery through the Google Cloud CLI [07:00] Danny: what is a CLI and why it matters for token use [08:00] Amazon Advertising MCP vs CLI based access to the same data [09:33] WordPress horrible to drive via MCP, easy via CLI [10:00] Danny's event-ops CLI: tickets, food tickets, WooCommerce, Stripe reconciliation [12:13] ExtractFlow four tier cascade: soft, medium, stealth, agentic [13:46] Why CLI for the heavy stuff, MCP for the soft touch [14:13] AWS CLI: chat to Claude, push HTML blog posts live in two minutes [15:33] The overwhelm problem and the 5,000costbehindthe5,000costbehindthe100 plan [17:35] The $20 plan rumour: it was a 2% AB test, not a rollout [19:38] Build repeatables, not one offs [20:38] Danny: pick a platform and stop chasing benchmarks [21:16] The 21 day Claude rule for new tools [22:16] Plan mode every time, push back on plan one, get the second plan [23:02] Why am I building it, who is it for, what am I building [23:30] The 30 / 70 split: workflow scaffolding vs real building [25:13] Why long six to fourteen hour Claude runs are usually inefficiency [27:12] Compounding 1% a day across a year [27:47] "I build the things that build things" [28:00] Architecture vs apps: filling the gaps between A and B [29:06] Left brain vs right brain task design [30:01] Why throwing 80/20 at a sales drop diagnosis fails [31:33] The PPC Ninja 5 Whys skill: deterministic plus non deterministic in one flow [34:32] Claude.md, Gemini.md, skills.yaml and the agents.md standard [40:53] Beginners: let Claude write the skill from your SOP, use the interview pattern [42:39] Skill cascading: URL to research to article to LinkedIn post to tweets to slides [44:42] Mixing deterministic and non deterministic inside a single skill [45:39] Wrap up, signal to noise, who is it for Key Takeaways Pick a platform and stop chasing models. A new model ships every week. Time spent benchmarking is time not building. Double down on Claude (or whichever you chose), use the 21 day rule, and let the ecosystem catch up to the shiny thing in your feed. CLI for heavy work, MCP for soft touch. MCP loads tools and skills into context and burns tokens. CLI uses programs already on your machine. For data heavy jobs (BigQuery, AWS, WordPress at scale), CLI wins. For light cross app workflows, MCP is fine. Build repeatables, not one offs. Subsidised tokens will not last. The 100planreportedlycostsAnthropic100planreportedlycostsAnthropic5,000 to serve. Spend the window building scaffolding that compounds, not 14 hour vibe coding runs. Plan mode every time, then push back. Claude over engineers by default. Generate the plan, then say "you have over engineered this, although I want it elegant, go back and review." Plan two is the one you start from. 30% on workflow, 70% on building. Each new dependency, MCP, skill or repo you add to your workflow compounds across every future project. Stop building only the apps. Build the things that build the apps. Left brain in scripts, right brain in the model. Counting, SQL, deterministic logic belongs in Python the moment you can offload it. Save the model for hypotheses, judgment and creativity. The PPC Ninja 5 Whys skill mixes both inside one flow. Skills are micro pieces, not magic. Take an SOP, ask Claude to interview you with decision panels, and let it write the skill. Then cascade skills together: URL to research to long form article to LinkedIn post to tweets to slide deck. Notable Quotes "Instead of doing one offs, it is time to build repeatables. The more people can learn that skill now, the better it will be, because a year from now you may not have access to the same tokens." Ritu Java "If you see something and it looks sexy and it has sex and sizzle and your dopamine is screaming to go after it, wait 21 days. Either Claude will have it, or someone will have a repo, and you can combine it." Danny McMillan "Always use plan mode. Never accept plan number one. Tell Claude: you have over engineered this, although I want it elegant, go back and review. Then start from plan two." Danny McMillan "I build the things that build things. I build the scaffolding the team needs so they can build on top of it." Danny McMillan "Spend 30% of your time on your workflow and 70% building. The 30% compounds across every project." Danny McMillan "If we just hand six months of ad, organic, ranking and SQP data to Claude with no structure, it is going to mess up. It will give you an 80/20 you are not satisfied with, because it is not equipped to handle that volume without scaffolding." Ritu Java "WordPress is horrible to work with through MCP. It falls over all the time. CLI can be amazing for certain things." Danny McMillan Resources Mentioned PPC Ninja : Ritu's Amazon PPC software and agency, base for the BigQuery + CLI stack discussed Claude Code : Anthropic's CLI for Claude, the primary surface used in the episode Anthropic Claude : Claude 4.7 referenced as the current model OpenAI Codex : Codex 5.5 mentioned as the rival shipping fast Google Gemini CLI : Referenced as a sibling agent surface (Gemini.md) Google BigQuery : PPC Ninja's central data warehouse Google Cloud CLI (gcloud) : The CLI Claude uses to talk to BigQuery Amazon Advertising MCP : Amazon's official MCP server for ads data, referenced as the MCP comparison point AWS CLI : Used by Ritu to publish HTML blog posts to ppcninja.com from a Claude chat Netlify : Hosting layer for PPC Ninja's previous era of UI based apps WordPress and WooCommerce : Backbone of Danny's event-ops CLI FooEvents : Ticketing plugin that lives behind WooCommerce in the event-ops flow Stripe : Source of the card fee variation Danny reconciles via CLI ExtractFlow / CloudExtract : Danny's four tier extraction cascade (HTTP, headless, stealth, agentic). Open repo Playwright : The default browser automation tier inside ExtractFlow Agents.md : Emerging AI agnostic instruction file standard alongside Claude.md and Gemini.md Sequential Thinking MCP : The MCP Danny invokes when asking Claude to step through analysis Hosts Danny McMillan : Host of Seller Sessions, founder of DataBrill, building AI native tooling and CLI based workflows for Amazon sellers. Website: https://sellersessions.com LinkedIn: https://www.linkedin.com/in/dannymcmillan Ritu Java : CEO and co founder of PPC Ninja, Amazon PPC software and agency. Specialises in automation, BigQuery pipelines and agentic workflow design. LinkedIn: https://ca.linkedin.com/in/ritujava Website: https://www.ppcninja.com What's Next Next week: Ritu and Danny pick up routines and the new Claude scheduler. In 8 days: Seller Sessions Live 2026 in London on 9 May. Last week to lock in any final discounts. About Seller Sessions Seller Sessions is the leading podcast for serious Amazon sellers, hosted by Danny McMillan since 2017. Go With The Flow is the weekly automation strand where Danny and Ritu Java work through agentic flows, MCPs, CLIs and skills, in real time, on the same stack their teams ship every week. Episode published: 1 May 2026 Series: Go With The Flow (Week 4 of the month) Keywords: claude skills, claude code, cli vs mcp, mcp model context protocol, claude 4.7, codex 5.5, amazon ppc automation, bigquery cli, agentic workflows, plan mode, token optimisation, claude.md, agents.md, ppc ninja, ritu java, seller sessions podcast, go with the flow

In this Conversion Monthly, Danny McMillan is joined by Dorian and Matt Kostan (no Sim this episode — he's on holiday) for a live, practical session on building brand-quality design systems fast and for free. Dorian opens with a tight crash course in the three design fundamentals that separate professional Amazon listings from amateur ones: font pairing, grid and layout, and colour theory. He then demos Google Stitch live, building a full design system from a wooden utensil listing in real time. Danny shows a more automated route — using Perplexity to control Stitch autonomously and generate a complete brand kit from just a product title, bullet points, and a reference image. Matt rounds it off with a live Product Pinion split test of the new designs against the original listing — and the results deliver the session's sharpest lesson. The big takeaway: pretty is not enough. Information + design working together is what converts. Key Topics Google Stitch for brand design — Free AI design tool that generates full brand guidelines, font pairings, and mockups from reference images and prompts 3 design fundamentals every seller should know — Font pairing, grid and layout, colour theory with a contrasting action colour Perplexity + Stitch autonomous workflow — Danny demos letting Perplexity control Stitch end-to-end with zero manual input to generate a full brand kit Coolers.co — Free colour palette tool with a visualiser and AI colour bot (Matt) UX and design laws applied to Amazon — Miller's Law, Fitts' Law, Jacob's Law, Occam's Razor translated into listing and brand site decisions Product Pinion live split test — New designed variants vs the original listing, with real shopper results in under 10 minutes Live test result — The original information-heavy image outperformed the prettier redesigns early on; lesson: strip information at your peril Timestamps [00:00] Intro — Danny opens, Sim is out, format overview [00:48] Dorian: Why most Amazon listings lack design consistency [02:00] The 3 design principles: font pairing, grid/layout, colour theory [04:30] Font pairing explained — serif vs sans-serif, how world-class brands use them [07:00] Colour theory — complementary colours plus one contrasting action colour [08:30] Live Google Stitch demo — wooden utensil set, design system generated from brand brief + images [10:00] Stitch output: colour palette, font pairings, layout mockups [12:17] Matt: brand guidelines used to cost $1,000+ — now free in Stitch [13:00] Dorian: live Figma iteration — cleaning up the infographic using new design system fonts [17:00] Matt: information hierarchy lesson — measurements vs benefits on infographics [19:30] Dorian: "mouse text" and anchoring — what to leave in, what to strip out [20:33] Matt: Coolers.co overview — free colour palette generator and visualiser [22:00] Matt: UX/UI design principles applied to Product Pinion and Amazon listings [25:12] Danny: Perplexity + Stitch autonomous brand kit demo — Z Kitchen brand from scratch [27:00] Z Kitchen outputs: design system, A+ content, infographic, lifestyle mockups, packaging concepts [31:00] How to iterate inside Stitch — refine vs reimagine, varying only specific elements, up to 5 variants [36:00] Danny: UX design laws — Miller's Law, Fitts' Law, Jacob's Law, Occam's Razor [40:00] Danny: Typography slides — spacing systems, layout balance, font families [43:32] Dorian: reveals three redesigned variants ready for split test [44:35] Matt: launches live Product Pinion test — 50 shoppers, cooking category targeting [47:33] Live results coming in — original listing leading over new designs [48:00] Dorian: "pretty is one thing but the information has to be there" [49:00] Danny: design and information are two separate layers — both are required [51:30] Product Pinion API + Claude integration teaser [52:36] Final results and wrap-up — test completed in ~10 minutes with 50 real shoppers [53:44] Closing thoughts and Seller Sessions Live preview (26 days out) Key Takeaways Three principles separate professional listings from amateur ones — font pairing (serif + sans-serif), grid and layout (hierarchy: 1, 2, 3), and colour (complementary base + one contrasting action colour). Google Stitch is the best free tool right now for design mockups — unlike image generators (Gemini, GPT), Stitch understands design principles and generates layout-aware mockups you can iterate on. Pretty does not convert on its own — the live test showed the original, information-heavy image outperforming the cleaner redesigns early. Design is a layer on top of strong product information, not a replacement for it. Perplexity can run Stitch autonomously — paste a product title, bullet points, and a reference image; let it loop through Stitch without touching anything; come back to a full brand kit. You can test design variations with 50 real shoppers in under 10 minutes — Product Pinion lets you run image split tests with category-targeted shoppers, get qualitative feedback, and iterate the same day. Nano Banana outputs in Stitch cannot be regenerated — switch to one of the standard models if you need variation or refinement controls. AI gets you to the concept stage fast — use Stitch to generate the direction, then hand to a designer for finishing. Revision cycles and meetings shrink dramatically. Notable Quotes "If everything is important, nothing really is." — Dorian "The hardest thing is to make something simple, elegant, and something that people get instantly." — Dorian "Pretty is one thing, but the information has to be there. I didn't put the information there — and it's not doing well." — Dorian (on live split test results) "Most people don't necessarily know good design, but they know what they like. It's more of a feel — they go, that looks a bit cheap, or that looks really good." — Danny McMillan "It's never been easier and faster to become a world-class brand on design. Plug in your details, get a design guide going, and you can really up your brand in a very short period of time." — Matt Kostan "The breakout brands from the Amazon community — we haven't had enough of them crossing over. Now that gap's closed." — Danny McMillan Resources Mentioned Google Stitch — Free AI design tool; generates brand guidelines, font pairings, mockups, A+ content concepts, and layout variations. Up to 3,000 generations per day (free) Figma — Design tool used by Dorian to pull Stitch outputs and refine layouts manually Adobe Color (color.adobe.com) — Colour palette exploration and complementary colour tool; used in the live demo for the wood/blue beach-forest palette Coolers.co — Free colour palette generator with AI colour bot and real-world visualiser Pinterest — Recommended for browsing font pairing inspiration Nano Banana 2 — Image generation model available inside Stitch; note: regeneration/variation controls don't work on Nano Banana outputs Perplexity — Used to autonomously control Google Stitch via browser automation, building a full brand kit end-to-end from a single prompt Product Pinion — Consumer research and split testing tool by Matt Kostan; image tests with real shoppers, category targeting, results in minutes. Product Pinion API + Claude integration in development. Guest Info Dorian — Design and conversion specialist, Seller Sessions Conversion Monthly co-host Matt Kostan — Founder of Product Pinion, consumer research and split testing for Amazon sellers

Welcome back to Conversion Monthly! Danny McMillan is joined by the full team — Sim, Matt Kostan, and Dorian — plus special guest Anna, who launched a reusable microfiber cleaning cloth roll on Amazon UK. Anna's product is clever — an eco-friendly alternative to paper towels that's washable and comes in multiple colors. But the listing isn't converting. The team digs into exactly why and what to fix. What's Covered in This Episode: Main image problems — Why Anna's current main image fails to communicate what the product actually is, and how showing roll thickness, sheet count, and color options can dramatically increase click-through rate Baseline click share testing — Matt runs a 100-person UK shopper poll revealing Anna's listing captures only 10% of clicks against competitors The power of color — Shoppers gravitate toward listings showing multiple color options, and the team discusses how bolder, richer colors (not pastels) pop on search results Secondary image ordering — Dorian's favorite test reveals that simply reordering existing images based on what shoppers care about most (reusability and washability) can boost conversions without changing a single image Title strategy — Why keyword stuffing kills readability and how "speed bump keywords" like "washable" or "tear-away" differentiate you from competitors Cost-saving as a conversion lever — Framing the product as a money-saver versus annual paper towel spend gives instant price justification Before-and-after imagery — "Show me, don't tell me" — why context-driven images outperform generic product shots German marketplace analysis — What the German Amazon sellers are doing right with richer colors, dynamic angles, and clean layouts New main image results — After updating the main image with Dorian's mockup, click share jumped 60-70% in testing Key Takeaways: If shoppers can't tell what your product is from the main image, nothing else matters The order of your secondary images matters as much as the images themselves — answer objections early Titles need to balance keyword volume with readability — a title nobody understands won't convert regardless of search volume Look at what competitors in other marketplaces (especially Germany) are doing for image inspiration Test before you invest in final designs — quick mockups and polling save time and money Connect with the Team: Matt Kostan — matt@productpinyon.com Sim — LinkedIn (also recruiting brand managers) Dorian — LinkedIn Anna — LinkedIn

In this third installment of Claude Sessions, Danny is joined by Subash from Not A Square, who helps e-commerce brands scaling past seven figures implement AI without scaling headcount. Subash walks through real client case studies -- including a TikTok brand that boosted its customer satisfaction score from 4.2 to 4.5 in four weeks using a customer support agent built in Claude. Danny then breaks down OpenClaw, the open-source personal AI agent that exploded in popularity, explains why he chose not to use it despite the temptation, and reveals Claude Flow -- his custom operating system built inside Claude Code with 11 engines, 300+ features, and a persistent memory layer powered by ChromaDB. The episode drives home one core message: document your operations first, pick one platform, go deep, and stop chasing every new tool. Key Topics Documenting operations before automation -- Why you cannot automate what is not documented TikTok customer support case study -- Building an AI agent that raised satisfaction scores in four weeks OpenClaw overview and security risks -- What it does, why it blew up, and why Danny built his own alternative Claude Flow -- Danny's custom operating system inside Claude Code with persistent memory The amnesia loop -- How context loss between sessions kills productivity and how ChromaDB solves it Pixel-less environment -- The shift from structured prompts to contextual AI interaction Go deep on one platform -- Why chasing multiple AI tools guarantees you build nothing Timestamps [00:00] Introduction -- Claude Sessions Week 3, delayed from the road [01:03] Subash introduces himself and Not A Square [02:01] Overview of three client projects and the problem founders face [04:30] Why operational truth is the moat in AI commerce [06:48] Three pillars: reduce costs, better governance, scale without headcount [07:30] TikTok case study -- customer support agent boosting store score from 4.2 to 4.5 [09:04] OpenClaw -- history, capabilities, and the security nightmare [15:30] Six core capabilities of OpenClaw (local-first, universal messaging, persistent memory, browser automation, system access, self-extending skills) [18:00] Why OpenClaw matters -- moving from dumb LLMs to personal AI agents [20:00] Security trade-offs -- 1.5M API keys exposed, malware in skills, Cisco tests [22:00] Claude Flow -- Danny's 11-engine operating system built inside Claude Code [24:26] The amnesia loop -- how sessions lose context and how ChromaDB fixes it [28:19] Why Claude MD, agents, and skills are not enough without hooks and triggers [32:40] Go deep on one platform -- stop chasing every new tool [35:35] Subash on helping sellers adopt Claude Code fundamentals (Claude MD, skills) [39:51] Wrap-up and contact info Key Takeaways Document before you automate -- If your business operations live in the founder's head and not on paper, any AI tool will amplify the chaos rather than fix it. Operational truth is the moat -- Clean inventory, accurate catalogs, honest cashflow reporting. Get these right before touching AI. One AI agent moved the needle -- A single customer support agent on TikTok raised a brand's satisfaction score from 4.2 to 4.5 in four weeks, directly improving store visibility. Persistent memory changes everything -- ChromaDB captures decisions, patterns, and project context across sessions so Claude compounds in usefulness over time (zero entries in session one, 1,700+ by session 25). Scaffolding beats raw building -- Danny's Claude Flow system means a project that took five days six months ago now takes 40 minutes. The investment in infrastructure pays exponential returns. OpenClaw is proof of concept, not production-ready -- Broad permissions, prompt injection vulnerabilities, exposed API keys. Wait for the open-source community to patch the holes before diving in. Pick one platform and go all the way in -- Chasing multiple AI tools means you learn none of them deeply and build nothing of value.

Broad Match - Danny and Adam break down Amazon's financial trajectory ahead of the Q4 2025 earnings call, exploring why Prime has effectively tapped out, where the retail business is heading, and why Rufus may be Amazon's most important bet for the future of e-commerce. Host: Danny McMillan Co-Host: Adam "Heist" Runquist Episode Summary With Amazon's Q4 2025 earnings call on the horizon, Adam digs into the historical financials of Amazon's retail business to understand where the company has been and where it is heading. The picture is clear: Prime membership has reached over 200 million Americans, covering roughly 75% of the adult population, and growth has slowed to just 3-4% annually. The remaining unsubscribed population is largely economically unfeasible to convert. The numbers tell a compelling story across Amazon's retail business units. First-party retail has matured and is effectively flat or declining. Third-party seller fees have grown 190% since 2019, far outpacing the 75% growth in Amazon's own retail — but sellers are now squeezed to single-digit net margins with little room for further extraction. Advertising remains the standout at 56 billion dollars in 2024 with 300% growth over five years, yet its long-term sustainability depends on healthy seller participation. This sets up what Adam describes as Amazon's innovators dilemma. Danny and Adam agree that Rufus represents Amazon's play to shift from a purchase destination to a product discovery and research platform, effectively competing with Google, YouTube, and Reddit for the consideration phase. The episode closes with a rallying call for sellers to focus on extreme efficiency, leveraging AI tools to optimise listings at a level of sophistication that was impossible even a year ago, and to prepare for a market where fewer sellers will survive but those who do will be significantly rewarded. Key Takeaways Amazon Prime has effectively saturated the US market at over 200 million members, with the remaining population largely economically unfeasible to convert, signalling the end of Amazon's biggest historical growth engine. Third-party seller fees have grown 190% since 2019 compared to 75% growth in Amazon's own retail, but sellers operating on single-digit margins means Amazon has limited room to extract further on a per-unit basis. Amazon's advertising business pulled in 56 billion dollars in 2024 with 300% five-year growth, but its future depends on whether enough healthy sellers remain to sustain ad spend. Rufus is positioned as Amazon's answer to the innovators dilemma — shifting from a purchase-only platform to a product discovery and research destination to drive more visits, higher conversion, and larger basket sizes. AI tools now allow sellers to accomplish listing optimisation work in hours that previously took weeks, making sophisticated conversion optimisation accessible to small teams without additional headcount. The market is entering a consolidation phase where fewer sellers will survive, but those who maintain cash reserves, optimise ruthlessly, and adapt to the changing landscape will benefit as competitors exit. Chapter Markers 00:00 - Introduction 00:40 - Why Amazon earnings matter for sellers 03:30 - Prime membership growth and saturation 06:22 - First-party retail maturity and decline 09:30 - Third-party seller fees hitting the ceiling 11:10 - Advertising as Amazon's growth engine 13:28 - Rufus and the discovery play 15:47 - The debate around Rufus and objectivity 19:07 - AI efficiency and listing optimisation 22:16 - Beyond keywords and single-dimension thinking 33:24 - Market consolidation and survival strategy 37:19 - Practical steps for sellers right now Resources Seller Sessions Website Seller Sessions YouTube Adam "Heist" Runquist on LinkedIn Adam Heist YouTube Channel ```

Conversion Monthly - The panel kicks off 2026 with predictions on AI-driven creative workflows, agentic shopping behaviours, and the tools reshaping Amazon seller operations. Host: Danny McMillan Panel: Sim Mahon, Dorian Gorski, Matt Kostan Episode Summary The newly rebranded Conversion Monthly show returns with its expert panel to discuss 2026 predictions for Amazon creative optimisation. The conversation covers how AI workflows have evolved since early 2025, with Dorian noting how N8N has become significantly more accessible through built-in AI assistants. Sim shares that his team can now create final, upload-ready main images in a single AI generation. The panel discusses agentic shopping and how AI-driven product discovery may fundamentally change conversion optimisation. Matt highlights the trend toward hyper-specific product positioning, where sellers create separate ASINs for the same product targeting different demographics. Danny introduces Claude's new Co-Work feature as a significant leap that removes technical barriers for sellers wanting to build automations. The panel agrees that "human in the loop" will be the defining phrase of 2026. Sim reveals his investment in 51 Folds, a prediction platform using Bayesian networks. Key Takeaways One-shot main images are now reality - AI image generation has reached the point where final, upload-ready Amazon images can be created in a single prompt Hyper-specific product positioning is trending - creating separate ASINs for the same product targeting different demographics aligns with AI recommendations Technical barriers to automation are evaporating - tools like Claude Co-Work and improved N8N AI assistants are making workflow automation accessible "Human in the loop" defines 2026 - the winning strategy combines automated data collection with human strategic oversight The big three AI providers have stabilised - Anthropic, Google, and OpenAI now dominate, reducing shiny object syndrome Video generation remains the next frontier - while image generation is solved, video still requires scene-by-scene refinement Chapter Markers 00:00 - Introduction and 2026 Outlook 00:58 - Dorian on the Pace of Change Since 2025 04:07 - N8N Accessibility and Self-Build Workflows 05:33 - One-Shot Image Generation Capabilities 07:23 - Video Generation Limitations 10:26 - Business Systems, ClickUp and Future-Proofing 14:37 - Hyper-Specific Product Positioning 20:06 - Keplo 2026 Direction 22:26 - Competitive Advantage and AI Accessibility 25:01 - The Big Three AI Providers 28:46 - 51 Folds Investment and Bayesian Prediction 33:14 - Panel 2026 Priorities 38:12 - Wrap-Up Resources Seller Sessions Website Seller Sessions YouTube Sim Mahon on LinkedIn Dorian Gorski on LinkedIn Matt Kostan on LinkedIn

Main Image Monthly: Optimizing Beauty Products for Conversion: Insights with Aaron Graybill Episode Overview In this episode, Aaron Graybill discusses the challenges and successes of launching her whipped beef tallow lotion, focusing on product formulation, customer feedback, and the importance of visual optimization for increasing conversions. The conversation delves into strategic improvements for product listings and customer expectations in a competitive beauty market. This episode explores beauty product formulation and challenges, strategies for visual optimization in e-commerce with practical insights for immediate implementation. Key Takeaways Customer education is essential to address concerns and improve conversion rates, especially for niche products like beef tallow lotion. Visual aesthetics in product listings significantly impact customer perception and purchasing decisions. Chapter Markers Time Chapter Description 00:00 Introduction Danny McMillan introduces Aaron Graybill and the discussion around her beauty product. 01:15 Product Backstory Aaron shares the backstory of her whipped beef tallow lotion and challenges faced with product formulation. 02:44 Managing Customer Expectations Discussion on balancing profitability while addressing customer concerns about product quality. 05:27 Understanding Product Differentiators Insights into the unique selling points of her product compared to competitors in the beauty niche. 06:15 Product Image Optimization Danny discusses the importance of optimizing product images using data analysis. 07:06 Visual Appeal vs. Informational Content Exploration of visual optimization strategies to stand out in online listings. 35:52 Key Takeaways and Next Steps Final thoughts on applying insights from the episode for product improvements. Notable Quotes "Pressure makes diamonds." Resources Mentioned 🔧 Tools & Platforms: Clickbait Thumbnail Generator: A tool developed to generate catchy thumbnails for video content to increase engagement. 🔗 Guest Links: No guest this episode 📖 Seller Sessions Resources: YouTube: Seller Sessions Channel Website: Seller Sessions Rufus Blueprint: Complete Amazon Algorithm Guide Honeymoon Period Research: Scientific Analysis Seller Sessions Live 2026: Conference Registration Subscribe to Seller Sessions YouTube: Seller Sessions Channel Website: Seller Sessions

Go With The Flow: Unlocking the Future of Video Creation with AI Tools Episode Overview In this episode, Danny McMillan and Ritu Java dive into the evolving world of AI-generated video content, discussing the advancements in technology that allow for creative video production without extensive resources. They explore tools like Nano Banana and LoRa to maintain character consistency while producing engaging video content. This episode explores ai in video creation, creative workflows and automation with practical insights for immediate implementation. Key Takeaways Understanding how to storyboard effectively can greatly enhance the output quality of AI-generated videos. Navigating the limitations of AI tools is essential to maximizing their potential in video production. Chapter Markers Time Chapter Description 00:00 Introduction Danny welcomes Ritu back to the show and introduces the topic of video creation and its possibilities using AI. 02:17 AI in Video Production Ritu discusses her experiences with AI-generated videos, highlighting advancements seen at the Unboxed event and Coca-Cola's use of AI for advertising. 07:23 Building a Video Ad Ritu outlines the importance of storyboarding in video production and how to work within the limitations of AI tools. 11:21 Challenges in AI Video Danny and Ritu explore common challenges in AI video generation, discussing the complexity of maintaining character consistency and the importance of compelling video editing. 30:56 Design Loop Introduction Danny introduces Design Loop as a tool for simplifying video production, allowing users to generate concepts and prompts effectively. Notable Quotes "We eat with our eyes." Resources Mentioned 🔧 Tools & Platforms: Nano Banana: An AI tool for generating consistent visuals from sketches and templates, praised for its performance in recent iterations. LoRa: A tool that helps maintain character consistency by allowing users to upload multiple photos for reference. Design Loop: A creative studio designed to streamline the video production process by generating asset ideas and scenes based on user input. 🔗 Guest Links: Ritu Java: LinkedIn Profile 📖 Seller Sessions Resources: YouTube: Seller Sessions Channel Website: Seller Sessions Rufus Blueprint: Complete Amazon Algorithm Guide Honeymoon Period Research: Scientific Analysis Seller Sessions Live 2026: Conference Registration Subscribe to Seller Sessions YouTube: Seller Sessions Channel Website: Seller Sessions

Main Image Monthly: Optimising Conversion for Trendy Bandanas: Strategies and Insights Episode Overview In this episode, the team explores innovative strategies to optimise a bandana product listing, focusing on visual appeal and conversion tactics. The discussion highlights the importance of addressing customer concerns about size and quality while generating creative imagery to enhance click-through rates. This episode explores visual optimisation techniques, conversion strategies for fashion products with practical insights for immediate implementation. Key Takeaways Effective imagery and emotional engagement are crucial for improving conversion rates and attracting consumers. Testing different main images and variations can lead to significant improvements in click-through rates and overall sales. Chapter Markers Time Chapter Description 00:01 Introduction and Product Challenge Danny welcomes listeners and introduces the challenge of optimising a trendy bandana product amidst various competitors. 01:12 Exploring Product Analysis Dorian shares insights on product analysis and the necessity of understanding the target audience's needs and purchase barriers. 04:40 Testing Concepts and Imagery Matt emphasizes the baseline analysis of competitors and discusses potential ideas for new imagery to improve the product listing's performance. 12:00 Concept Development Dorian describes his approach to generating multiple image concepts and emphasising versatility and quality concerns for consumers. 20:17 Testing New Main Images The team discusses various concepts for new main images and the importance of testing these concepts to determine what works best. 40:47 Visual Optimization Strategies Danny shares innovative ideas for visual optimisation, using angles and spacing to enhance customer engagement with the product images. 54:00 Final Strategies and Wrap-Up The team wraps up the discussion by reiterating the importance of differentiating in the market and the strategy of testing imagery for improved conversion. Notable Quotes "Customers eat with their eyes." Subscribe to Seller Sessions YouTube: Seller Sessions Channel Website: Seller Sessions Resources Mentioned 🔧 Tools & Platforms: Tools and resources mentioned in the episode 🔗 Guest Links: No guest this episode 📖 Seller Sessions Resources: YouTube: Seller Sessions Channel Website: Seller Sessions Rufus Blueprint: Complete Amazon Algorithm Guide Honeymoon Period Research: Scientific Analysis Seller Sessions Live 2026: Conference Registration

Harnessing the Power of DesignLoop: Elevating Your Amazon Listing Strategy Episode Overview In this episode, Danny McMillan discusses the pitfalls of relying solely on AI for design automation, emphasizing the importance of human creativity in the design process. He introduces DesignLoop, a tool designed to help sellers generate high-quality images and videos while maintaining a human touch. This episode explores ai in design automation, importance of human creativity in marketing with practical insights for immediate implementation. We've been building DesignLoop, a human-in-the-loop creative studio for images and video. I'll roll it out to the community soon - you just plug in your API keys and pay for what you use. No subscriptions, and here's the bonus: it's actually a lot cheaper than plugging directly into OpenAI and Google. We have had a few delays, scrapping it three times in the last few weeks and then building it again. The upside? We've built in a video storyboard Framework with rhythm-based pacing and multi-shot sequences, image recognition with Claude Vision, system logic level prompts tuned to each model, slash commands with a prompt library, and plenty of guardrails reducing expensive sling - shot slop, all while being significantly cheaper per second. Key Takeaways Design cannot be fully automated; human creativity and judgment are crucial in the design process, especially for marketing effectiveness. Having a breadth of quality assets can significantly enhance the design and marketing processes, reducing costs and improving results. Chapter Markers Time Chapter Description 00:01 Introduction to DesignLoop Danny introduces DesignLoop, highlighting its purpose to avoid generic designs often produced by AI, and stresses the need for human expertise in the creative process. 02:17 The Importance of Human Involvement Danny discusses the critical role humans play in design, particularly for creating effective marketing assets that convert customers. 04:27 Critiques of Current Marketing Strategies Danny critiques the common approach of saturating listings with visuals, arguing for more thoughtful design that resonates with customers. 06:32 Why DesignLoop is Free Danny explains his motivation for offering DesignLoop for free, focusing on supporting sellers and enhancing the overall industry. 10:42 Demonstration of Outputs Danny demonstrates the capabilities of DesignLoop, showcasing the assets generated and discussing the process behind creating effective videos. 24:14 Pacing and Dynamics in Video Creation Danny elaborates on the aspects of pacing and dynamics in video production, emphasizing their significance in delivering impactful content. 49:39 Final Thoughts on Automation Danny wraps up by discussing the future of automation in design and the importance of retaining a human element for quality outcomes. Notable Quotes "The heartbeat of the industry is the seller; we need to support you." Resources Mentioned 🔧 Tools & Platforms: CapCut: A video editing tool used by Danny for creating and editing his video assets, allowing for easy manipulation of timing and pacing. 🔗 Guest Links: No guest this episode 📖 Seller Sessions Resources: YouTube: Seller Sessions Channel Website: Seller Sessions Rufus Blueprint: Complete Amazon Algorithm Guide Honeymoon Period Research: Scientific Analysis Seller Sessions Live 2026: Conference Registration Subscribe to Seller Sessions YouTube: Seller Sessions Channel Website: Seller Sessions

Conversion Monthly: Transforming Product Listings: From Clicks to Conversions Episode Overview In this episode of Conversion Monthly, the team dives deep into optimizing a children's art easel listing for better conversion rates. Key insights include reducing clutter in main images and leveraging compelling language to highlight unique features. This episode explores visual optimization of product listings, conversion rate improvement strategies with practical insights for immediate implementation. Key Takeaways Simplifying images can lead to higher click-through rates; focus on making the product the hero. Using more playful and engaging language in descriptions increases emotional connection with potential buyers. Chapter Markers Time Chapter Description 00:00 Introduction to Conversion Monthly Danny McMillan introduces the rebranded show focused on broader conversion strategies beyond just main images. 01:37 Discussion with Paul Bristow on the Art Easel Sim Mahon discusses the performance and potential improvements for Paul's art easel product listing. 10:00 Analyzing Competitor Listings Sim analyzes competitor products and highlights areas where Paul's listing can stand out. 15:33 Dorian's Image Optimization Suggestions Dorian Gorski discusses the importance of simplifying images and testing different visual strategies. 29:10 Matt's Practical Insights Matt Kostan shares actionable tips on title wording and the importance of a compelling guarantee. 45:12 Addressing Objections and Enhancing Trust Danny McMillan presents analysis results on customer objections and ways to enhance trust through visual strategies. 56:18 Final Takeaways and Next Steps The team summarizes key points and outlines next steps for improving the product listing. Notable Quotes "When everyone runs right, you run left." Subscribe to Seller Sessions YouTube: Seller Sessions Channel Website: Seller Sessions Resources Mentioned 🔧 Tools & Platforms: Tools and resources mentioned in the episode 🔗 Guest Links: No guest this episode 📖 Seller Sessions Resources: YouTube: Seller Sessions Channel Website: Seller Sessions Rufus Blueprint: Complete Amazon Algorithm Guide Honeymoon Period Research: Scientific Analysis Seller Sessions Live 2026: Conference Registration

Broad Match: Debunking the Straw Man Argument Around Rufus and Keywords Episode Overview In this episode, Danny McMillan and Adam dive deep into the misconceptions surrounding optimizing for Rufus versus traditional keyword strategies. They discuss the importance of maintaining a balanced approach while navigating the psychological impacts of social media engagement on content creators. This episode explores keyword optimization in amazon listings, impact of content creation on personal identity with practical insights for immediate implementation. Key Takeaways Emphasizing both Rufus and traditional keywords is crucial for optimizing listings, not one at the expense of the other. Content creators should prioritize authenticity and excellence over chasing page impressions to maintain their integrity and effectiveness. Chapter Markers Time Chapter Description 00:00 Introduction Danny and Adam reconnect and discuss Adam's new living situation. 01:30 The Misconception of Rufus Danny highlights the straw man argument regarding Rufus and keywords in listing optimization, emphasizing the importance of both. 04:46 The Slippery Slope of Content Creation Discussion on how content creators can lose their sense of self when chasing attention rather than staying true to their message. 15:26 Chasing Excellence vs. Attention Danny shares insights on the dangers of focusing on page impressions over quality content, urging creators to prioritize excellence. 27:59 Conversion Rate Discrepancies Adam presents findings on the surprising conversion rate metrics between PPC and organic sales across a large catalog. 31:00 Understanding Traffic Dynamics A look into the complex nature of advertising reports and the implications of traffic on conversion rates. Notable Quotes "Chase excellence, not page impressions." Resources Mentioned 🔧 Tools & Platforms: Claude: An AI tool used for data analysis and reporting. Lovable: A platform that helps users build sites, tools, and apps. 🔗 Guest Links: No guest this episode 📖 Seller Sessions Resources: YouTube: Seller Sessions Channel Website: Seller Sessions Rufus Blueprint: Complete Amazon Algorithm Guide Honeymoon Period Research: Scientific Analysis Seller Sessions Live 2026: Conference Registration Subscribe to Seller Sessions YouTube: Seller Sessions Channel Website: Seller Sessions

The Blueprint: Unlocking MCPs: Simplifying E-commerce Automation Episode Overview Last week we published a comprehensive article on MCPs for Amazon Sellers. This presents a golden opportunity for Amazon sellers to scale their operations without adding overhead costs, while gaining an edge over competitors. In today's session, Danny and Oana will explore the practical applications of MCPs across all areas of your business. Imagine no longer wasting time in comment sections trying to obtain broken N8N Json files that ultimately prove unsuitable for your business. Imagine logging into Seller Central without the tedious task of downloading countless reports. Imagine freeing your VAs from hours spent processing data just to make it actionable. Imagine eliminating the frustrations caused by hallucinations from Genspark, Comet and other agentic browsers. You don't need to imagine—now it is a reality you control. In this episode of The Blueprint, Danny McMillan and Oana Padurariu dive deep into the concept of Model Context Protocols (MCPs) and how they can streamline processes for Amazon sellers. They discuss practical implementations of MCPs, how to reduce data management headaches, and the potential for increased productivity in e-commerce operations. This episode explores mcps and their role in automation, practical applications of automation in e-commerce with practical insights for immediate implementation. Key Takeaways MCPs significantly reduce the complexity and time needed for E-commerce automation tasks. Utilizing MCPs can transform how sellers approach data management and reporting, ultimately enhancing productivity. Chapter Markers Time Chapter Description 00:01 Introduction Danny introduces the episode and the main topic of MCPs, a key strategy for sellers. 02:11 Understanding MCPs Discussion on what MCPs are, including a simple definition and their significance in automation. 11:54 Practical Uses of MCPs Danny shares an example of using MCPs to identify and manage hidden fees in ticket sales, highlighting the practical benefits. 27:09 E-mail Automation Insights on how MCPs can be used to automate email responses, including the use of classifier inputs in the email context. 30:16 The Future of MCPs Discussion on the expected rise of MCP adoption and how sellers can benefit from utilizing these tools. Notable Quotes "If I can do it, you can do it—because I'm not a programmer." Resources Mentioned 🔧 Tools & Platforms: MCP: Model Context Protocols, designed for connecting different e-commerce automation tools. Genspark: A platform that utilizes MCPs for automation tasks. Comet: An agentic browser that can utilize MCPs for automation. Stripe: A payment processing platform discussed in the context of reducing hidden fees. Google Calendar: Used as an example of a native MCP for task management. N8N: A platform mentioned as useful for creating complex workflows, especially for e-commerce. Zapier: A tool for simple automations across applications, mentioned as a lower-cost alternative to MCPs. 🔗 Guest Links: No guest this episode 📖 Seller Sessions Resources: YouTube: Seller Sessions Channel Website: Seller Sessions Rufus Blueprint: Complete Amazon Algorithm Guide Honeymoon Period Research: Scientific Analysis Seller Sessions Live 2026: Conference Registration Subscribe to Seller Sessions YouTube: Seller Sessions Channel Website: Seller Sessions https://sellersessions.com/seller-mcp-guide/