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eCommerce Podcast

Matt Edmundson
eCommerce Podcast
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  • How to Build Authority in AI Search for Your Brand
    Alex Back's team at Couch posts content about Ashley Furniture, and just two days later, ChatGPT and Google AI change their answers about the brand's quality. In this episode, we explore the systematic approach to building authority in AI search that's transforming how furniture brands—and all e-commerce businesses—can influence what millions of people learn from large language models.After running a successful e-commerce furniture brand for 13 years, Alex now helps furniture retailers through Couch, his marketing platform. We dive into the remarkable shift happening in digital marketing, where understanding how LLMs consume and cite content has become as important as traditional SEO. Alex shares the exact content creation system his team uses, starting with video and working backwards into articles, and reveals why YouTube and Reddit have become the second and third most important sources for AI search after Wikipedia.Key Point Timestamps:08:14 - The AI Search Revolution Nobody's Talking About19:13 - Where LLMs Get Their Information28:00 - The Content Creation System That Actually Works34:16 - One Recording Creates Everything38:27 - The Delicate Dance of Platform Dependence41:55 - The Reddit Problem45:39 - The Pivot Machine PhilosophyThe AI Search Revolution Nobody's Talking About (08:14)We're living through a shift as significant as Google's emergence in the early 2000s. Alex explains how his team measures the impact of their content on AI search: "The YouTube videos themselves and some of the social media content we put out there is informing the LLMs and ultimately changing answers to questions like, is Ashley furniture good quality?"This isn't theoretical. Before posting content, Alex's team checks what ChatGPT and Google AI say about a brand. After publishing, they check again. Sometimes within 48 hours, the answers change, citations appear, and the narrative shifts. However, nobody fully understands the rules yet. Even the best content marketers and SEO professionals are still figuring out which tools to trust for tracking LLM presence.Where LLMs Get Their Information (19:13)Alex attended a seminar that revealed crucial insights about how AI search works. Wikipedia remains the primary source for LLMs—the vast majority of their information comes from there. But Reddit and YouTube are second and third, neck and neck."I saw a whole seminar about LLMs and where they get their information," Alex shares. "Wikipedia being still the vast majority of information sources for LLMs. But Reddit and YouTube being second and third and very close to one another."This matters because it explains why Alex's strategy works. YouTube videos no longer just rank well on Google—they directly inform what AI tells millions of people asking questions. Even if content contains errors or subjective opinions, LLMs consider it heavily, sometimes more than niche publishing sites with established authority.The Content Creation System That Actually Works (28:00)Alex calls himself "a talker," and he's turned that into his superpower. His refreshingly simple content creation process starts with using ChatGPT to create an outline, then recording video authentically about topics he knows deeply."If you start with video, it's much easier to back your way into having all this other content," Alex explains. He transcribes the raw video and gives it to his writer: "Here's the transcript, take this, these are all my words, make it into a compelling article."The video goes on YouTube. The article—embedding that same video—publishes to the blog. Both go live within hours of each other. Then they syndicate to YouTube Shorts and other social platforms. One recording session produces a YouTube video, a blog post, social media content, and multiple touchpoints—all from turning on the camera for a few...
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  • Why You Should Market to the Amazon Algorithm Too with Tim Wilson
    What if the secret to Amazon success isn't about outsmarting competitors, but about seducing an algorithm? Tim Wilson from Product Wind reveals how his team identified seven specific signals that make Amazon's algorithm fall in love with products, whilst most brands unknowingly fight the wrong war.We explore Tim's revolutionary approach to Amazon marketing, moving from traditional social media buzz campaigns to what he calls 'marketing to the algorithm.' Through real examples including a French company with 0.1% conversion rates and a pregnancy pillow brand discovering unexpected use cases, Tim demonstrates why mastering fundamentals and understanding algorithmic signals creates sustainable competitive advantages.Key Point Timestamps:02:52 - The biggest Amazon problem everyone's making08:17 - Why 70% of shoppers don't read descriptions16:31 - The power of user-generated content collages23:04 - Marketing to the algorithm strategy30:16 - The seven signals Amazon's algorithm values33:05 - Orchestrating 500-person 'armies' for external traffic45:58 - Top tip: Engage with customers who love you mostThe Fundamental Problem Everyone's Missing (02:52)Tim identifies the single biggest issue stopping Amazon success: poorly optimised product detail pages. He shares a striking example of a French consumer products company where traffic was "off the charts" but sales didn't follow."I'm still shocked at the PDPs that I see that are in no way optimised and ready for prime time," Tim explains. The company's conversion rate was 0.1% when the category average was 3.5% - revealing not a traffic problem, but a fundamental conversion issue.This highlights why you can't build sustainable Amazon success on weak foundations, regardless of advertising spend. The fundamentals must be mastered first.The Image Stack Revolution (08:17)Tim reveals that 70% of shoppers make purchasing decisions based entirely on images, not product descriptions. "I don't even look at all seven images. I go to like two or three and make my decision," he admits.The most successful brands tell evolving stories through their image stacks. Tim shares how a pregnancy pillow company discovered customers using their product in cars and on planes - use cases completely missing from their original images.The lesson? Product detail pages aren't "set it and forget it" situations. They're living, breathing entities that should evolve as you discover how customers actually use your products.Marketing to the Algorithm Strategy (23:04)Tim's core insight challenges conventional thinking: "These marketplaces are algorithmically driven. It's this algorithm that's really determining your product's success."He draws a parallel to old-school retail: ten years ago, you'd wine and dine buyers to get better shelf placement. "That person has been replaced by an algorithm." But just because it's technology doesn't mean you can't influence it."An algorithm just needs data. So why not give it exactly the data it loves?" This philosophy underpins Product Wind's approach of providing Amazon's algorithm with the specific signals it values most.The Orchestrated Army Approach (33:05)Instead of hoping for viral social media moments, Tim's team orchestrates coordinated actions from hundreds or thousands of people. "We might work with 500 or even a thousand people. It's like an organised army."The mathematics are compelling: 500 people driving 20 clicks each equals 10,000 coordinated visits to Amazon listings. These visits are timed strategically to send the right signals to Amazon's algorithm.The approach scales based on competition level. An infant nasal aspirator in a low-competition category might need only 50 people, whilst consumer electronics competing with Bose and Sony requires much more "noise" to...
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  • Why Summer Slumps Aren't Inevitable
    Summer 2025 is officially over, and whilst most eCommerce businesses breathed a sigh of relief after surviving another 'inevitable' slow season, one team discovered something remarkable: they grew 19% year-on-year during what should have been their worst period.Matt Edmundson reveals the post-summer analysis that challenged everything we assume about seasonal trading. By questioning one simple default assumption - that summer slumps are inevitable - and understanding that August performance depends on March and April planning, this approach transformed summer from a write-off period into a competitive advantage.Discover why 70% of summer purchases happen in March-May, how mobile browsing intensifies during summer months, and why weather patterns create predictable opportunities rather than obstacles. Most importantly, learn the systematic process for challenging defaults that could transform your next summer trading period.Key Point Timestamps:02:00 - The Default Assumption Problem05:00 - Why One Team Grew 19% During Summer08:00 - The Baltic States' Summer Strategy12:00 - March Planning Drives August Performance16:00 - The Weather Connection We All Missed21:00 - Mobile Optimisation as Summer Strategy26:00 - Three Steps to Challenge Your Seasonal DefaultsThe Default Assumption Problem (02:00)Matt opens with a provocative question: why are we so comfortable with predictions that essentially amount to "our business will perform badly for the next three months"?"We're planning for our businesses to underperform for a quarter of the year. And we call this acceptable business practice," Matt explains. These default assumptions - that sales drop in August, nothing happens after Father's Day until September, that it's just how these businesses work in summer - become self-fulfilling prophecies.When entire industries expect decreased activity, they collectively create the conditions that make it true by reducing marketing spend, operating skeleton crews, and delaying product launches until September.Why One Team Grew 19% During Summer (05:00)The post-summer analysis revealed a stark contrast between two teams. One experienced the predicted 50% sales drop from peak. The other grew 19% year-on-year during their slowest period."What's been nagging at me - 80% of that growth was from new customers rather than just doing discounted offers to existing customers," Matt shares. The successful team challenged the default by staying engaged when competitors pulled back, focusing on mobile optimisation when browsing intensified, and ramping up marketing during a period when ad costs were lower.The impact extended beyond summer - by mid-September, they were already 25% ahead on sales compared to the previous year.March Planning Drives August Performance (12:00)Perhaps the most crucial insight: "August performance isn't dependent on what we do in August. It is dependent on what we do in March and April."Research shows that 70% of consumers made their summer purchases in March, April, and May - only 19% waited until June. "We weren't just experiencing summer slumps," Matt reveals. "We were missing the planning window that drives summer performance."This means that scrambling for summer offers in July is already too late. The businesses that thrived during summer 2025 were those that ramped up marketing in spring, when customers were making summer purchase decisions.The Weather Connection We All Missed (16:00)During UK heatwaves, web revenues fell 47.8% during peak temperatures. But here's what most businesses missed: revenues increased 17.4% in the week before the heatwave as people prepared for extreme conditions."This perfectly illustrates why conversion matters more when traffic patterns shift," Matt explains. "During summer, if mobile browsing
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  • Why Your Shopify Strategy Is Killing Your Amazon Sales
    Sean Stone reveals why successful Shopify strategies often destroy Amazon performance and how treating Amazon as a unique marketplace can transform your results. His agency works with million-dollar brands achieving 20% conversion rates on Amazon whilst Shopify sellers celebrate 3%.We explore why Amazon shoppers behave completely differently from website visitors, how the platform's algorithm rewards different behaviours, and why your product bundling strategy needs a complete rethink. Sean shares his PAIR framework (Promotions, Advertising, Inventory, Rankability) and introduces his free Conversion Rate Benchmark Buddy tool that helps sellers identify which products can realistically rank on Amazon.Key Point Timestamps:04:26 - Why treating Amazon like Shopify kills performance08:09 - The product strategy flip: smaller packs, lower prices13:43 - Rankability: Sean's made-up word that works18:00 - The free GPT tool for competitor analysis23:32 - Click-through rate tactics that mirror YouTube29:43 - The PAIR process framework36:05 - When Amazon makes sense vs when it doesn't49:57 - The BCIT framework for keyword dominationWhy Treating Amazon Like Shopify Kills Performance (04:26)Sean's core insight challenges how most eCommerce founders approach Amazon. "A lot of people try to treat Amazon like it's not its own unique channel," he explains. "You wouldn't do that if you started selling your products in Walmart, but why are you treating Amazon the way you're trying to treat Shopify?"The fundamental difference lies in shopper behaviour. Shopify visitors have already chosen to engage with your brand specifically. Amazon shoppers are actively comparing you against every competitor in real-time, focusing purely on finding the best product at the best price with fastest delivery.This creates completely different success metrics. Where a 3% conversion rate makes Shopify sellers celebrate, Sean would tell Amazon sellers with similar performance that "your product is broken, you should liquidate your inventory and get something new."The Product Strategy Flip: Smaller Packs, Lower Prices (08:09)The strategy that works brilliantly on Shopify - increasing average order value through larger bundles - becomes Amazon suicide. Sean explains the inverse approach needed:"Instead of focusing on getting your CPA down to $20 a customer and selling an $80 product through a series of funnels... you end up trying to get your price point down to a place where you can sell a $14.99 product with a $3 cost per acquisition."Using supplements as an example, where Shopify might sell 90-day supplies for $60, Amazon success comes from 30-day supplies at $20. Different pack sizes and price points deliver the same profit margins when accounting for volume and organic ranking benefits.Rankability: The Made-Up Word That Works (13:43)Sean's concept of "rankability" - a product's ability to reach the top five organic spots through a combination of PPC and deals - becomes central to Amazon success strategy."The big opportunity on Amazon is not just that you can sell a product and limit your ad spend and make a sale. The big opportunity is you can sell a huge quantity, get a ton of new customers who now know about your brand and get them through getting your product to show up at the top of the page without paying to be there."The key lies in conversion rate advantages. When one client discovered they had double their competitors' conversion rates across multiple keywords, Sean's immediate response was: "You're going to need to triple your inventory order on this product today."The PAIR Process Framework (29:43)Sean's systematic approach breaks down as Promotions, Advertising, Inventory, and Rankability:Promotions: Limited time deals running 14...
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  • Data Is the Biggest Lever in Digital Marketing Right Now
    Digital marketing veteran Vlad Zhovtenko reveals why data has become the single biggest lever in modern e-commerce marketing. After 25 years in the industry, he explains how businesses can transform from guessing to growing by owning and leveraging their customer data strategically.We explore how the shift from platform-dependent marketing to data ownership creates competitive advantages, why TikTok's rise as a search engine changes everything, and how AI is reshaping how customers discover and buy products. Vlad shares his practical framework for identifying the 1-2 metrics that actually drive business growth, avoiding the AI analysis trap, and adapting to constant platform algorithm changes.Key Point Timestamps:07:49 - Data as the biggest single lever in digital marketing08:46 - How businesses can now own and control their data10:14 - TikTok's evolution into a major search engine17:55 - Framework for choosing metrics that matter20:45 - Real example: The missing chat button case study25:06 - Why AI can't replace business context34:12 - Starting an e-commerce business the right wayData as the Ultimate Marketing Lever (07:49)Vlad cuts straight to the heart of modern digital marketing: "I don't think it has changed much, at least in my perception. I say that is data. It's just that for the last sort of like five years maybe, the data became a real lever for you."The fundamental shift isn't about new platforms or tactics—it's about ownership. For years, e-commerce operators were digital sharecroppers, planting campaigns on Meta's land and Google's tools while never controlling the insights that powered their growth.Now businesses can feed their own data back to platforms with proper rules and regulations, becoming "the source to train their optimisation." This creates a compound advantage where your data improves your results, which generates better data, creating an upward spiral that competitors can't easily replicate.The Search Revolution Hiding in Plain Sight (10:14)While businesses obsess over Google rankings, consumer behaviour has fundamentally shifted. "TikTok is growing to become a major search engine just because how many people use it," Vlad explains.This creates a three-layer challenge:Traditional SEO strategies may miss where your customers actually searchAI recommendation engines operate on completely different rules than search botsSocial commerce platforms blur the lines between discovery and purchaseThe solution isn't to abandon Google, but to understand where your specific audience searches and optimise accordingly. "Getting the data as to how they operate, getting into that game if search engine traffic is important for a business is critical," Vlad notes.The Framework That Cuts Through Data Overwhelm (17:55)Vlad's approach to metrics selection is brilliantly simple. Focus on three questions:"What you can actually measure" – Many businesses track metrics they can't properly measure, leading to decisions based on unreliable data."What you can actually influence" – Tracking vanity metrics you can't directly impact wastes mental energy and resources."Pick up out of them, I don't know, one or two" that actually push the business forward.He demonstrates this with a practical example: A jewellery maker saw leads dip in August. Instead of diving into conversion optimisation, Vlad identified the real bottleneck was lead generation. The business expected 30-something customers to commit to in-person visits without easier ways to ask initial questions. One missing chat button was throttling the entire business.Beyond Platform Dependence (25:06)The temptation to dump data into AI and expect magic insights is strong, but Vlad warns against this "lottery-ticket approach" to...
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