eCommerce Podcast

With 57% of Google searches now ending without a click, where are those potential customers going? Matthew Stafford from Build Grow Scale reveals why LLM traffic converts at 5X the rate of traditional search—and how smaller brands can capture this opportunity before the giants catch on.Episode SummaryMatthew Stafford has spent a decade helping eCommerce brands scale, working with companies doing £200,000 to £3 million monthly. Across every US-based client, he's seen organic traffic drop 20-30% this year. But the brands optimising for LLMs aren't just recovering that lost traffic—they're converting it at rates that make their old Google numbers look pedestrian. We explore why AI assistants have become trusted advisors rather than search tools, the specific tactics working right now (including buyer-intent FAQs per product), and why Matthew calls this the biggest shift he's seen in his entire consulting career.Key Point Timestamps:06:08 - The 57% no-click problem and LLM shift12:12 - AI as trusted advisor22:56 - Buyer-intent FAQs explained27:40 - Schema markup for LLMs36:41 - Why small brands have the advantageThe Trusted Advisor Shift (12:12)Google was always about accessing information. You typed in a query, got a list of links, and did the research yourself. LLMs work completely differently—they've become trusted advisors that people share everything with."People literally are using these LLMs for their therapist and sharing everything with them," Matthew explains. "And then they're now going there to make their buying decision."When a trusted advisor recommends something, people buy. That's why LLM referrals convert at 5X the rate of Google traffic. The LLM knows customer preferences, behaviours, and context. It's not just matching keywords anymore—it's making personalised recommendations.Buyer-Intent FAQs Per Product (22:56)Most websites have FAQ sections that aren't actually answering frequently asked questions—they're thinly veiled sales pitches. Matthew challenges brands to rethink this entirely."My question to them is, why would shipping time be on your FAQ? And they go, well, people ask that all the time. And I said, then that means that you're too lazy to put it on your website."Real FAQ optimisation for LLMs means creating questions that demonstrate buyer intent—questions someone would only ask if they were seriously considering a purchase. The key insight: do this per product, not just site-wide. Start with your top 20% of products that drive 80% of sales.The Little Hinges Philosophy (36:41)What makes this opportunity so compelling for smaller brands is the asymmetric potential. Matthew describes it as finding "the little hinges that swing the big doors.""I truly believe that for the little guys, this is a level playing field. The only thing that is going to allow the bigger ones to outspend you maybe is if they take action sooner. But what I've found is these big companies that we deal with, they know that they need to do it, but they don't do it because they don't know what to do."Large organisations move slowly. By the time they've figured out their LLM strategy, smaller brands could have six months of consistent optimisation under their belts. Matthew compares it to the early Google days of 2004—a spiralling upward effect for those who act first.Today's GuestToday's guest: Matthew StaffordCompany: Build Grow ScaleWebsite: buildgrowscale.comEmail: matt@buildgrowscale.com

What if your e-commerce platform is actually holding you back? Mikel Lindsaar, founder of StoreConnect and author of the forthcoming book Customer Commerce, explains why most platforms end up controlling your business rather than serving it. We explore how unified data systems enable smarter automation, faster page loads, and the kind of personalised customer experiences that build lifetime value.Mikel shares practical examples including a museum using AI to identify VIP visitors, automated refunds that create customer delight, and how one company consolidated 76 websites across 26 brands onto a single platform. We also discuss why his strongest advice has nothing to do with technology: put a phone number on your website and actually answer it.Key Point Timestamps:09:23 - The Tail Wagging the Dog Problem15:21 - AI for Customer Identification22:04 - The Real Cost of Platform Fragmentation26:41 - Creating Moments of Joy39:34 - Why Phone Support Still MattersThe Tail Wagging the Dog Problem (09:23)Mikel had three clients approach him in a single year asking to build e-commerce platforms that integrate with Salesforce. His initial reaction was to redirect them to Shopify or BigCommerce. Their response changed his thinking entirely."Those platforms are all fantastic for the front end," Mikel explains. "They do an incredible job at helping someone buy a widget. What they all genuinely suck at is if I want to access the data in my way, or I want to build automations the way I want to build those automations."The result is what Mikel calls "the tail wagging the dog" - your e-commerce platform dictates how you access data, how you report, how you contact customers, and how the checkout flow works. Instead of your business processes driving the technology, the technology drives your business.The Hidden Cost of Plugin Sprawl (22:04)As e-commerce businesses grow, they accumulate SaaS tools. Shopify, then Klaviyo, then reviews, then loyalty, then subscriptions. Before long, you've got 20 different products running your business."You now have your data in Shopify, in Klaviyo, and maybe six or seven plugins on random Amazon servers around the world," Mikel points out. "That data is becoming a bit of a challenge from a security point of view."Each plugin charges monthly, holds a piece of your customer data, and potentially slows down your site. The clever automations that actually transform customer relationships become nearly impossible to build when your data is fragmented across dozens of systems.Creating Moments of Joy (26:41)When your data lives in one place, you can start treating customers as humans rather than transactions. Mikel shares a common scenario: you buy something, then days later receive an email offering 10% off the thing you just bought.Now flip it. A customer buys something 24 hours before a 10% sale launches. Instead of sending them the promotional email, your system automatically refunds 10% to their credit card and explains what you've done."If I got an email like that, I'd be like, are you kidding?" Mikel says. "These moments of joy, treat them as humans. Don't treat them as just a transaction."AI That Actually Works (15:21)Mikel suggests using AI for pre-processing rather than real-time calculation. An education provider using StoreConnect runs algorithms when a student completes a course, determining the next best course based on their entire history. By the time the congratulations email goes out, it already contains a personalised recommendation."Instead of having to send them to a site which is trying to calculate the next best course for that student, you've already done all that work in the back end," Mikel explains. "That page loads within a tenth of a second or less." The key is...

With over 10,000 3PLs in the US alone, how do you avoid choosing one that sinks your business? Dave Gulas from EZDC 3PL shares the horror stories he's witnessed and the questions that separate good logistics partners from disasters waiting to happen.In this episode, we explore why treating logistics as a commodity leads to problems, how to vet a fulfilment partner properly, and the operational details that matter when you're shipping thousands of orders monthly. Dave's background in the pharmaceutical industry, where urgency is non-negotiable, shaped his approach to e-commerce fulfilment. He shares what he looks for in great clients (spoiler: they ask the most questions) and why his sales cycle runs several months by design.Key Point Timestamps:07:06 - What EZDC 3PL does and who they serve08:57 - When outsourcing fulfilment makes sense22:45 - Why treating logistics as a commodity fails27:43 - Horror stories from bad 3PL partnerships32:37 - The technology stack that matters40:59 - Warehouse layout for efficiency48:20 - The questions to ask before choosingThe Partnership Mindset (22:45)Dave doesn't respond to enquiries that simply ask "what's your pricing?" without context. His reasoning is straightforward."It truly is a partnership. When you get into a business partnership with somebody, are you just going to look someone up online, ask a couple of questions and sign the contract? I hope not."The brands that treat logistics as a commodity, shopping purely on price, often end up with the problems Dave sees repeatedly. His sales cycle runs several months because both sides need to establish clear expectations before committing.The Horror Stories (27:43)Dave has heard them all. Warehouses going bust without telling clients. Inventory tracked on spreadsheets. Response times measured in days."We've heard all the horror stories you can think of from literally the warehouse going out of business because they defaulted on their lease and not telling the brand and basically stealing inventory."These aren't edge cases. When they happen, it's "a big hole to dig out of." Sometimes businesses don't recover.The Technology Stack (32:37)Dave uses ShipHero as his warehouse management system. But the specific system matters less than having a proper one at all."I'm shocked at how many actual 3PLs are out there where they're tracking inventory on spreadsheets and they're doing things manually. I have brands talk to me like, can you connect to our Shopify? Is that possible? They don't even realise that's possible because they're coming from a warehouse that doesn't do that."If a potential partner mentions spreadsheets, that's your cue to walk away.The Questions That Matter (48:20)Dave's best advice is simple: ask more questions. The best long-term relationships start with the most questions on the front end."The best clients, the best long-term relationships are the ones that ask the most questions on the front end. So we're happy to answer them. You can't ask too many."Ask about their technology stack. Ask for references. Do a site visit if possible. The goal isn't to catch them out. It's to establish clear expectations before you commit.Today's GuestToday's guest: Dave GulasCompany: EZDC 3PLWebsite: ezdc3pl.comLinkedIn: Connect with Dave on LinkedIn

Companies that capture and apply lessons have a 27% higher success rate. Yet most eCommerce founders either skip their year-end review entirely or give their numbers a cursory glance. In this Slingshot episode, Matt Edmundson shares the framework that saved LEGO from bankruptcy and reveals why accountability partners increase goal achievement by 95%.Episode SummaryMatt opens with the remarkable story of LEGO's near-collapse in 2003, when the company discovered it hadn't generated economic profit for over a decade. Through confronting brutal facts with honest review, they transformed into one of the world's most successful brands. We explore the common traps founders fall into during reviews, including the dangerous 'genius trap' when things go well. Matt introduces the Slingshot framework covering seven essential business areas, explains the critical difference between lead and lag measures, and shares the specific financial and customer metrics worth tracking. The episode closes with compelling research on why doing reviews alone limits your potential.Key Point Timestamps:00:18 - The Importance of Year-End Reviews01:16 - How LEGO Saved Themselves from Bankruptcy04:49 - Common Review Pitfalls and the Genius Trap14:00 - The 7 Areas of the Slingshot Framework22:00 - Lead Measures vs Lag Measures27:00 - The Numbers Worth Tracking33:53 - The Power of Accountability PartnersLEGO's Brutal Facts Revival (01:16)In 2003, LEGO was on the brink of bankruptcy with sales down 30% and $800 million in debt. This was a company that hadn't made a loss between 1932 and 1998. When leadership finally conducted a thorough review, they discovered the company hadn't generated any economic profit for more than ten years."They didn't know which products actually made money. They didn't know their customers anymore," Matt explains. "As one executive put it, the culture was so closed off that massive opportunities were completely invisible."The result of confronting these brutal facts? Nearly 20% compound growth over two decades. By 2020, they'd launched an entire 18+ product line for the adult customers they'd previously ignored.The Genius Trap (04:49)Matt introduces a subtle trap that catches founders when things actually go well. When the facts aren't brutal, it's dangerously easy to cherry-pick wins and build narratives that feel good but teach nothing."The goal isn't to prove you're brilliant. It's to understand what actually worked, what didn't, and where to focus next," Matt emphasises. "Imagine presenting your findings to a board of directors. What would you proudly share? And what would you rather not mention? That second list is where the real insights live."This isn't ego management. It's pattern recognition that drives genuine improvement.The Slingshot Framework: 7 Areas That Matter (14:00)After years of building and selling eCommerce businesses, Matt shares the seven interconnected areas that meaningful reviews need to cover:1. Sell (Product) — Which products are your real winners versus quietly draining resources?2. Story (Brand) — Do you truly understand who you're serving and is your messaging landing?3. Tech Stack — Is your technology helping or hindering? Are systems integrated or fragmented?4. Marketing — If your main marketing channel disappeared tomorrow, would your business survive?5. Optimise (Conversion) — When did you last watch a real customer try to use your site?6. Experience (Post-Purchase) — Is your post-purchase journey building loyalty or losing customers?7. Growth — Which growth lever has the most room to...

What does the Nativity story have to do with running an eCommerce business? In this special Christmas Day message, Matt Edmundson draws some beautifully tenuous parallels between shepherds, mangers, and Joseph, and the journey of every Digital David building something meaningful.Episode SummaryThis isn't a typical episode with frameworks and downloads. It's a cup of tea and a heartfelt thank you. Matt reflects on the meaning of Advent (the arrival of something wonderful) and finds unexpected connections between the Christmas story and the eCommerce journey. From early customers who become unlikely evangelists, to bootstrap operations that are sufficient for their purpose, to the quiet faithfulness of just doing the work without needing the spotlight.Key Point Timestamps:00:00 - Introduction02:25 - The Magic of Advent04:47 - The Shepherds (Your First Evangelists)06:59 - The Manger (Your Bootstrap Operation)09:11 - Joseph (Quiet Faithful Execution)11:32 - A Thank You to Digital DavidsThe Shepherds: Your First Evangelists (04:47)The shepherds weren't the target demographic for announcing a royal birth. They were society's undesirables. Yet they became the first evangelists, so moved by what they saw that they couldn't stop telling everyone.Your early customers might be similar. They're not the fancy influencers with high follower counts. They're the ones who discovered you before you were polished, before the fancy branding and proper email sequences. They found something genuine and couldn't stop talking about it.Matt shares a story from Jersey (his old beauty company) about a lady who wrote blogs from another country, bringing in tens of thousands of pounds in sales monthly. These early adopters spread your story in a way no marketing budget could ever buy.The Manger: Your Bootstrap Operation Is Enough (06:59)Jesus was laid in a feeding trough. Not exactly the expected birthplace for a king. Yet the wise men still brought their finest gifts, recognising true worth beyond humble circumstances.Your eCommerce business might not look as impressive as your well-funded competitors'. Your tech stack might be held together with hope and Zapier. Your warehouse might be your garage. But excellence isn't about having the fanciest infrastructure. It's about faithfully serving your mission with whatever resources you have.The manger was sufficient for its purpose. It held the baby. So is your scrappy, bootstrap operation.Joseph: Quiet Faithful Execution (09:11)Joseph barely gets any lines in the school play. Almost no dialogue in the Bible. But watch what he does. He takes Mary as his wife when it would have been easier not to. He travels to Bethlehem. He flees to Egypt. He returns when told it's safe. Each decision required faith and immediate action. No fanfare, no recognition."Execution trumps intention every single time," Matt emphasises. You can have brilliant strategies, beautiful brand guidelines, and ambitious growth plans. But without disciplined follow-through, your business stalls.Joseph models something we can all learn from. A man of quiet faithfulness, just doing the work without needing the spotlight.Episode link: https://www.ecommerce-podcast.com/christmas-thankyou

Most eCommerce brands settle for pop-up opt-in rates of 3-5% whilst competitors achieve 10-15%. Shaan Arora, CEO of Alia Popups, reveals the systematic testing approach used by 3,000 brands including Peloton and Nike to dramatically improve email collection without destroying margins.We explore why copy matters more than design, how mystery discounts outperform fixed offers, the difference between mobile and desktop timing, and why holdout tests prove pop-ups increase both conversion rates and AOV despite the annoyance factor. Shaan shares data-driven insights from 100 million monthly pop-up views.Key Point Timestamps:02:17 - The biggest pop-up problem brands face04:55 - Mystery discount strategy that increases opt-ins08:08 - Alternative offers beyond discounts18:59 - Testing discount percentages systematically24:17 - What's a good opt-in rate?26:42 - Segmentation and personalisation28:36 - Are pop-ups worth the annoyance?37:06 - Copy, timing, and design priority order46:23 - Building a personal brand as founderThe Mystery Discount Strategy (04:55)One of the easiest wins comes from a simple copy change that doesn't touch your margins at all. Instead of revealing your 10% discount upfront with "Get 10% Off Your First Order", try copy like "Unlock Your Mystery Discount" or "Claim the Discount You've Earned.""A lot of brands believe that in order to get a really good opt-in rate, you need to give a pretty crazy offer," Shaan explains. "We've seen brands that have early access pop-ups without even an offer that gets to about 10% opt-in rates."Same 10% discount. Different psychology. Brands see large increases in opt-ins without changing the actual offer because humans can't resist finding out what they've "earned." The curiosity gap works.Testing Discount Percentages (18:59)Before assuming you need to offer 20% or 30% off to achieve decent opt-in rates, test. Shaan urges brands to test 20% against 15%, or 15% against 10%. Track not just opt-in rates but also conversion rate, bounce rate, AOV, and revenue from codes."We've had brands that have done 20%, gone down to 15% and pretty much had the same results for opt-in rates," Shaan shares. That's a 5% margin improvement without losing performance.The data shows that when cashback is tested against discount, discount wins but sometimes only by 30% - not such a huge percentage that it's definitively worth the margin hit.The Priority Order: Copy, Timing, Design (37:06)Most brands obsess over design first, which is the wrong priority. Shaan's data from 3,000 brands reveals a clear hierarchy."Copy is number one by far and away the most important thing to test," Shaan emphasises. "What copy can resonate well. Like 'You've got 15% off,' 'You've earned 15% off,' 'Here's 15% off,' 'Here's a mystery discount.' All of these things are the biggest thing to move it."Timing comes second - when exactly the pop-up appears matters, especially across mobile versus desktop. Design lands third, including what creative to show and whether to show creative at all.The Holdout Test Everyone Should Run (28:36)Shaan's team makes it extremely easy to run holdout tests: pop-up versus no pop-up, measuring conversion rate and average order value. The results are clear."Across the board, on pretty much every single test we've run with this, we see CVR and AOV go up when you have a pop-up versus when you don't have a pop-up," Shaan reveals.Even people who immediately close the pop-up benefit from knowing a discount exists. They're aware that when they're ready to check out, a code is waiting for them somewhere, and just knowing that increases purchase likelihood.Today's GuestToday's guest: Shaan...

Most eCommerce stores with large product catalogues share a common problem that quietly kills growth. It's not their products, pricing, or marketing budget—it's their site structure. Sam Wright, founder of Blink SEO and creator of Macalytics, reveals why taxonomy is the biggest drag on growth for stores doing £3-5 million annually, and exactly how to fix it using Search Console data.We explore why collection pages represent 35% of all search impressions (more than products and blogs combined), how to determine the right level of granularity for your categorisation, and why most stores aren't deep enough with their subcategories. Sam shares his framework for using Search Console impression data to identify exactly where to create new collection pages, and explains the critical difference between what works for user experience versus what search engines can actually index.Key Point Timestamps:06:30 - The Large Catalogue Challenge11:45 - Why Collection Pages Are Your Biggest SEO Opportunity16:20 - The Granularity Problem Most Stores Face22:15 - Using Search Console Data to Guide Taxonomy27:40 - Real-World Example: Redesigning for Better Structure35:10 - Future-Proofing for AI Search with Persona Data42:30 - The AI Shortcut and Critical WarningThe Large Catalogue Challenge (06:30)Sam defines large catalogue stores as those where the buying journey tips into a different mode—one based around comparison and filtering rather than simple browsing. This typically happens around 250 products, though it varies by category."With large catalogue stores, the buying journey is based around comparison and filtering," Sam explains. "A lot of the time these stores have grown up organically over a period of time and no one's taken ownership about how the store's organised."This organic growth creates a drag on everything—SEO, user experience, conversion rates, even email segmentation. Stores reach £3-5 million in annual revenue, so things are fundamentally working. But growth isn't happening as fast as it should because nobody stepped back to think strategically about organisation and purpose.Why Collection Pages Are Your Biggest SEO Opportunity (11:45)Sam shared compelling data from across all the Shopify stores his agency works with: "It's about 35% of all impressions come on collections, which is much more than products and blogs. It's basically the entry point for most people when they're doing actual new product discovery."More than a third of search visibility comes from collection pages—the pages where new customers first encounter the store. Yet most stores aren't categorised in a way that aligns with how people actually search for their products.This represents a massive untapped opportunity. If collection pages are already driving 35% of impressions without optimisation, imagine the potential when they're properly structured and aligned with search behaviour.The Granularity Problem Most Stores Face (16:20)The real opportunity for most stores lies in going deeper with categorisation. Much deeper."Most people are not granular enough with their categorisation," Sam emphasises. "A lot of stores will just have a t-shirts category. They won't subcategorise those t-shirts to the level that matches how people are actually searching."Sam uses sofas as an example: "So sofas as the parent category, like blue sofas, blue four seat sofas, blue four seat corduroy sofas. That filtering process, that is how people do search."The challenge on Shopify is that these filters aren't indexable for search engines. Google ads can't effectively target filters either. The solution is breaking out popular subcategories into actual collection pages."The real opportunity for a lot of stores is how deep you go in that categorisation because you've got products that other people...

What if one video per week could generate referral-quality leads for your eCommerce business? Nate Woodbury reveals how to leverage YouTube's search algorithm instead of chasing viral views, creating educational content that brings dream customers directly to you.Episode SummaryWe explore how eCommerce businesses can generate consistent, high-quality leads through strategic YouTube content. Nate Woodbury, who has produced over 60 YouTube channels, shares his Leaf Strategy—focusing on answering specific 8+ word questions with low search volume (as few as 10 searches per month) to build authority systematically. Rather than competing for viral views, this approach prioritises educational content that ranks quickly on YouTube and Google, attracting customers who are actively searching for solutions.We discuss why 10-12 minute videos create the optimal trust-building window, how to research golden questions using keyword tools, and why wrong audience growth from viral videos can actually damage your channel. Nate reveals his testing results showing YouTube Shorts only drove 0.1% increase in long-form views, and shares the entrance point strategy that guides viewers from YouTube to your email list without feeling sold to.Key Point Timestamps:05:11 - Entertainment vs Educational YouTube Strategy12:17 - The Leaf Strategy: Starting with Low Search Volume13:41 - Finding Questions with 8+ Words28:02 - The 10-12 Minute Sweet Spot36:20 - The Entrance Point Strategy40:22 - YouTube Shorts Testing Results42:23 - When Viral Videos Hurt Your ChannelEntertainment vs Educational YouTube Strategy (05:11)Nate distinguishes between two fundamentally different approaches to YouTube. Most advice focuses on entertainment—creating content that appeals to the broadest audience to generate ad revenue through viral views. But there's a completely different algorithm at play for businesses."There's multiple algorithms on YouTube," Nate explains. "Most of the advice we hear is geared towards having our videos go viral so we can get as many views as possible. But we can actually focus instead on search."This distinction changes everything. Entertainment content interrupts people and requires breaking through resistance. Educational content serves people who are actively seeking answers, meeting them exactly where they are. For eCommerce businesses with educational components—supplements, complex products, or anything requiring customer education—this search-focused strategy generates referral-quality leads rather than just views.The Leaf Strategy: Starting with Low Search Volume (12:17)Nate uses a tree analogy to explain his approach. The trunk represents broad topics like "nutrition." Branches are categories like "nutrition for weight loss." And leaves are the specific questions people type into search engines.Most businesses chase the trunk and big branches—terms with thousands of monthly searches and massive competition. Nate's approach flips this entirely: start with questions that only get 10 searches per month."I consider that gold," Nate shares. "That's probably going to turn into lead generation every single month, even if there's just 10 searches a month."The beauty is speed and certainty. With minimal competition for highly specific questions, videos rank at the top of YouTube and Google within a day or two. As you dominate more specific questions on a particular branch, the algorithms recognise your authority on that entire topic, eventually allowing you to rank for bigger terms—but you've built authority from the ground up.Finding Questions with 8+ Words (13:41)The key to this strategy is finding the right questions. Nate recommends Semrush's Keyword Magic Tool (with a free trial at herokeywordtool.com), but uses it differently than traditional SEO.Rather than looking for...

On Thanksgiving Day, whilst American families gather to express gratitude, eCommerce businesses gear up for the most transactional weekend of the year. Matt Edmundson explores why businesses that win long-term aren't those with the best Black Friday discounts, but those that genuinely appreciate the humans behind the transactions.Episode SummaryMatt shares the Gratitude Audit - a three-level framework distinguishing between no appreciation, automated appreciation, and personal gratitude. Through the story of transforming a beauty business that achieved 40% repeat purchase rates and 20% revenue growth, he demonstrates how culturally embedding thankfulness creates customers who become brand evangelists. The episode reveals why automated loyalty schemes create entitlement whilst personal touches compound loyalty, supported by research showing grateful customers are 23% more profitable.Key Point Timestamps:03:00 - The Problem with Automated Gratitude06:00 - Have We Missed the Simplicity of Gratitude?08:00 - The Gratitude Audit Framework14:00 - What Makes Gratitude Actually Work18:00 - Implementing Gratitude Without It Feeling Fake26:00 - Why This Actually Matters During Black Friday31:00 - Your Thanksgiving ChallengeThe Problem with Automated Gratitude (03:00)Matt compares two experiences of receiving something free: getting his tenth burrito automatically at Barburrito versus Emirates unexpectedly upgrading him to first class. Both were technically free, but elicited completely different emotional responses."I get my tenth burrito free at Barburrito. It's automatic and completely predictable. I just scan my app and it's done. I know it's coming because that's how loyalty schemes work. And you know what I feel when I get it? Nothing much. Well, that's not quite true. If I'm honest, I kinda feel entitled to it."The Emirates upgrade, five years later, still gets mentioned. The difference? Automated appreciation has diminishing returns whilst personal gratitude compounds over time. Research shows gratitude is heightened when customers perceive actions as discretionary rather than obligatory.The Gratitude Audit Framework (08:00)Matt introduces three levels of customer appreciation that most businesses move through:Level 1: No Appreciation - Where most eCommerce businesses live during busy periods. Functional and transactional: "Your order #827364 has been shipped." It's not rude, but it's nothing.Level 2: Automated Appreciation - Loyalty schemes, automated thank you emails, points systems. Better than nothing, but automation removes the perception of free will, creating contractual obligation rather than gift.Level 3: Personal Gratitude - Where Emirates upgrades and handwritten notes live. Where real human connection happens. Personal gratitude compounds over time rather than diminishing, and it doesn't have to be expensive - it has to be genuine.What Makes Gratitude Actually Work (14:00)Matt shares how transforming a beauty business around customer service - which really means finding ways to say thank you more genuinely - led to remarkable results. The team implemented handwritten notes, reached out when customers purchased multiple times, and allocated £50 SMOCs budgets (Sexy Moments of Customer Service) to warehouse and customer service staff."We allocated a budget of £50 to our warehouse and customer service teams. They could spend that money on a customer without prior authorisation. Just creating moments that mattered."Matt would randomly pick orders and include personal notes with his direct email. Rather than creating entitled customers, it created reverent appreciation. Over 18 months, overall turnover increased by 20% from repeat customers, with repeat purchase rates shooting above 40%.Implementing Gratitude Without It Feeling...

After building over 200 Shopify stores, Ben Sharf has discovered that nearly every e-commerce brand—whether doing $1 million or $50 million annually—describes their website as a source of frustration rather than growth. In this episode, we explore why complexity has become the norm and exactly how to fix it.Ben, co-founder of Platter, shares insights from working with brands that have accumulated technical debt through widget overload, deleted apps that leave code behind, and convoluted customer journeys that kill conversions. We dig into his three-part simplification framework, the power of cart drawers over cart pages, and why revenue per visitor matters more than you think.Key Point Timestamps:05:00 - Why e-commerce websites frustrate every brand09:30 - The widget overload problem destroying your site speed14:20 - Deleted apps leave code behind (and slow you down)17:40 - The three-part simplification framework22:30 - Revenue per visitor: the metric you're not tracking31:00 - How to optimize clicks to purchase35:40 - Mobile simplification mistakes killing conversionsWhy E-commerce Websites Frustrate Every Brand (05:00)Ben's journey into e-commerce infrastructure began at GoPuff, where he built an instant delivery business unit. Whilst partnering with brands of all sizes, he encountered the same pattern repeatedly: every single brand had a horror story about their website."E-commerce is literally selling a product on the internet," Ben reflects. "Why is the main thing the most frustrating thing for every brand out there?"The answer lies in how traditional development agencies operate. When agencies get paid for their time, they're incentivised to make things expensive and complicated. This creates an industry-wide problem where brands pay enormous sums for solutions that should be straightforward, resulting in websites burdened by excessive code, countless third-party apps, and convoluted customer journeys.The Widget Overload Problem (09:30)One of the biggest contributors to website complexity is what Ben calls "widget overload"—the tendency to add small applications for every specific functionality."A lot of these apps are features, not products," Ben explains. "If you piece a million together, you end up having a lot of different single points of failure within your storefront."The Shopify app ecosystem, whilst brilliant for getting started, creates a temptation to solve every problem by installing another app. Before long, brands find themselves managing dozens of applications, each adding code to their storefront, each creating potential conflicts.Ben shares a typical scenario: "We'll talk to a brand doing $20 million on their storefront. Over the last seven years, they've had five different agencies, seven different freelancers, and 150 apps installed and deleted—all on the same storefront. What do you think happens when the next person tries to go in and touch that? It's just a spider web."The Hidden Code Problem (14:20)Here's something most brand owners don't know: when you delete a Shopify app, the code it injected into your storefront doesn't disappear. It stays there, silently slowing down your site and creating technical debt that compounds over time.This revelation shocked many listeners, but it explains why sites become progressively slower even when brands think they're cleaning up by removing unused apps. The orphaned code remains, affecting page speed and creating a tangled web of potential conflicts.The Three-Part Simplification Framework (17:40)Ben's approach to escaping the complexity trap centres on three core principles: consolidation, clarity, and customer-centricity.Consolidation Over Accumulation: Rather than adding another app for every need, Ben advocates for consolidating functionality. Platter's solution was to...

Email marketing delivers 30 to 40 times the return of any other marketing channel, yet most Black Friday campaigns vanish into spam folders before customers even see them. Robby Bryant from Campaign Monitor reveals why the big three mailbox providers—Google, Yahoo, and Microsoft—now act as sheriffs, policing email deliverability like never before.Episode SummaryWe explore the seismic shift in email deliverability over the past five years, as consolidated mailbox providers transformed from passive gatekeepers into active sheriffs. Robby breaks down the authentication trinity (DKIM, SPF, DMARC) that determines whether your emails even make it past the front gate, the non-negotiable metric thresholds that separate inbox placement from spam (0.1% spam complaints, 1% unsubscribes, 2% bounces), and why establishing cadence matters more than clever subject lines. From list hygiene strategies to the 60-40 text-to-image ratio, this episode provides the practical checklist for ensuring your Black Friday campaigns actually reach the customers who want to hear from you.Key Point Timestamps:07:29 - The cadence mistake that kills Black Friday campaigns09:47 - Understanding sender reputation and deliverability governance16:37 - List hygiene practices that protect deliverability21:42 - The authentication trinity: DKIM, SPF, DMARC explained27:31 - Content formatting rules and the 60-40 ratio40:06 - The metrics that actually matter for inbox placementThe Sheriff Problem Nobody Saw Coming (04:32)Four or five years ago, the email landscape looked completely different. Robby explains how fragmentation amongst mailbox service providers meant brands could send mediocre emails with very little negative consequence. Those days are gone."They're acting now as the sheriffs," Robby describes, referring to how Google, Yahoo, and Microsoft now police sender behaviour. "They're looking at opens, clicks, replies, forwards, and then on the negative side, they're looking at deletions without reading, spam complaints, and people marking it as junk."The result? Brands attempting email marketing for the first time during Black Friday get slapped down before they start. Poor authentication, bad text-to-image ratios, and zero segmentation lead to lackluster results, convincing them email doesn't work. Meanwhile, brands understanding the new rules capture those 30-40X returns.The Cadence Mistake That Kills Campaigns (07:29)If Robby could solve one issue plaguing Black Friday email campaigns, it would be what he calls "advanced engagement." The typical pattern? Brands decide it's time for an email send, perhaps even segment their list, put together something beautiful, then do "one really loud blast.""That is the exact opposite of what you should do," Robby emphasises. "You really want to have an established cadence leading up to Black Friday, Cyber Monday and keep that cadence going on after the holiday."The walk-up engagement practice warms customers up, builds brand recognition, and establishes sender reputation with mailbox providers before the critical moment arrives. At minimum, Robby recommends sending at least one email per week during this period—enough to keep subscribers aware and set expectations with mailbox service providers.Understanding Sender Reputation (09:47)Here's what caught Robby off guard when entering email marketing after years in paid search and social: the misconception that nothing you do in email matters."I too was kind of under this misconception that nothing you do in email matters. It's kind of ephemeral," Robby admits. "It's not true."Mailbox providers track something called "deliverability governance"—whether your email lands in the inbox. Just like Google Ads has quality scores and social platforms track engagement, email sheriffs watch every move. Every email accrues...

What if scaling your eCommerce business isn't about better ads, but about understanding why customers buy from you? Louise Doyle shares how she built Needi from a struggling DTC gifting site into a £2 million corporate gifting business by refusing to treat gifts like commodities.Episode SummaryLouise and her co-founder Steph launched Needi in 2021 with ambitious DTC plans, only to discover the brutal reality of customer acquisition costs and overwhelming competition. Within months, they pivoted to B2B corporate gifting, where they found desperate demand for their psychology-driven approach. By asking why clients want to give gifts rather than just what they need, Needi scaled from £500k to £2 million in revenue whilst supporting local independent businesses. Lou shares the unconventional journey of building a concierge service that's now projecting £5 million revenue, all whilst balancing motherhood and creating a team where over half the employees are mums.Key Point Timestamps:05:10 - The DTC Reality: Why Direct-to-Consumer Failed10:15 - The Pivot: Finding Corporate Clients Who Were Desperate16:25 - Understanding the Psychology Behind Every Gift24:30 - Your Client Isn't Actually Your Client32:05 - The Amazon Problem: Connection Beats Efficiency37:14 - Scaling from £500k to £5M Projected Revenue45:07 - The Mum Factor: Building a Family-First BusinessThe DTC Reality: Why Direct-to-Consumer Failed (05:10)Lou and Steph thought they had it figured out. The research was solid: one in five gifts end up in landfill, 80% of people hate finding the right gift, and everyone's received a terrible present. Simple problem, simple solution—build a website, run Facebook ads, watch orders roll in."We went into it fairly naively," Lou admits. "We thought everybody is rubbish at gifting and doesn't enjoy it. So we'll set up an e-comm site where we make people really good at gifting. And it was really hard."The cost of customer acquisition was brutal. But worse, they faced double jeopardy: they needed to attract customers whilst simultaneously onboarding local independent businesses to supply the gifts. Chicken and egg doesn't begin to describe the challenge.The Pivot: Finding Corporate Clients Who Were Desperate (10:15)Rather than flogging a dead horse, Lou and Steph started LinkedIn outreach to corporate clients. They walked into head offices with suitcases filled with gifts. The response was immediate and overwhelming."These people were literally saying, my gosh, where have you been? We need what you're doing," Lou explains. Executive assistants and marketing managers were being dumped with last-minute orders for thousands of gifts with tight budgets and no time to find quality suppliers.The word "concierge" isn't accidental in Needi's description. It represents doing absolutely everything for clients whilst they figured out how to scale the service.Understanding the Psychology Behind Every Gift (16:25)Lou and Steph didn't just pivot to B2B—they transformed how they approached gifting entirely. They spent hundreds of hours studying the psychology of gifting, working with a professor of altruism, researching relationship dynamics."A gift is cementing what your relationship means to that person," Lou says. "You would not buy somebody a gift if you weren't looking for a particular connection."This insight changed everything. Instead of asking what gift clients wanted or how many they needed, Needi asks why. Why are you buying this gift? What relationship are you trying to cement? What message are you trying to send?Your Client Isn't Actually Your Client (24:30)When a company orders 10,000 gifts for employees, the purchaser is the corporate decision-maker. But the person who determines whether that company orders again next year? That's the employee who receives the

Customer acquisition costs have surged 222% since 2013, with Google and Facebook CPCs climbing relentlessly. But what if the solution isn't just doubling down on retention or throwing more money at ads?Matt Edmundson introduces the FUEL Framework—a systematic approach to customer growth that doesn't rely on a single channel, doesn't assume yesterday's tactics will work tomorrow, and doesn't leave you vulnerable when platforms change their algorithms. Through Foundation, Unlock, Elevate, and Leapfrog strategies, this framework addresses all three levers of business growth: acquiring customers, increasing purchase frequency, and raising average order value.Key Point Timestamps:00:00 - Introduction: The Challenge of Rising CAC01:00 - The iOS 14 Impact on Facebook Ads02:00 - The CAC Crisis in eCommerce03:00 - The Bathtub Principle04:34 - Introducing the FUEL Framework09:00 - Foundation: Email Beyond Templates13:00 - Foundation: Building Referral Engines15:00 - Foundation: Customer Experience Post-Purchase19:00 - Unlock: Strategic Partnerships22:00 - Unlock: Content Amplification26:00 - Unlock: Community Seeding28:00 - Elevate: Advanced Segmentation32:00 - Elevate: AI-Powered Personalisation38:00 - Leapfrog: Experimenting Without FearFoundation: Building Your Unshakeable Base (09:00)Matt challenges the common assumption that having Shopify and Google Analytics means your foundations are sorted. Real foundations aren't about having tools—they're about having systems that work even when paid ads don't.Email marketing generates 30-40% of revenue for most eCommerce businesses, yet many brands still rely on generic templates. Matt references Ken Rapp from BluStream's brilliant rule: don't send any coupons or review requests in the first five messages. "Just deliver value. Help customers succeed with their purchase. Build trust," Matt explains. Over 90% of customers stay engaged with these journeys months—sometimes years—later.The referral engine sits in foundations because referred customers are 16-24% more loyal than customers acquired through other channels, have 16% higher lifetime value, and cost £17 less to acquire. But standard refer-a-friend programmes don't work because they assume everyone just wants £10 off. "Maybe a complementary product has higher perceived value than cash. Maybe inviting them to a VIP board meeting matters more," Matt suggests.The Post-Purchase Gap (15:00)Standing in his favourite Liverpool coffee shop, Matt had an epiphany about customer experience. The journey was brilliant until he paid—then he stood awkwardly with others, unable to listen to music in case they called his name, no bench to sit on, no system."I started thinking, well actually, am I doing the same thing in my own eCommerce businesses?" Matt reflects. "We obsess over the journey to checkout. We A/B test button colours, we track every click. Then someone buys, and we forget about them. Or worse—we immediately hit them with a review request before they've even opened the box."The gap between acquisition and loyalty is where most brands lose the game. Customer experience—particularly post-purchase—directly impacts whether customers buy again.Unlock: Diversifying Beyond Paid Ads (19:00)Once foundations are solid, Matt recommends devoting 5-10% of marketing resources to unlocking other channels. Strategic partnerships work because 72% of companies report lower CAC through partnerships than direct acquisition.Matt shares his experience with Through Doc, the clothing company he frequently purchases from. When they partnered with Elliot Brown watches, he'd never heard of the...

Most entrepreneurs dream of building from scratch, but Michael Simpson took a different path. After running an Amazon arbitrage side hustle, he spent 18 months searching for an established eCommerce business to buy rather than building one from the ground up.Four years after purchasing an 18-year-old business selling Catholic products, Michael candidly shares what most buyers won't: the reality behind the broker presentations, the challenges of inherited technical debt, and the daily cashflow discipline that kept him in the game during survival mode.We explore the SBA loan process that made 90% financing possible, why he spent £30,000 on a Shopify migration that never happened, and the mastermind group advice that stopped him from making costly mistakes. Michael reveals his daily cashflow forecasting system, why demand capture businesses hit growth ceilings differently than demand generation models, and what he wishes he'd negotiated harder on during the purchase.Key Point Timestamps:04:34 - The Buy Then Build Philosophy09:10 - Finding the Right Business After 40 Evaluations11:06 - How SBA Loans Work for Business Acquisitions16:56 - The 3X Multiple Valuation Reality20:05 - Why Growth Proved Harder Than Expected29:52 - The £30,000 Migration That Never Happened43:09 - When Sales Dropped and Survival Mode Began49:57 - Daily Cashflow Forecasting That Saved the BusinessThe Buy Then Build Philosophy (04:34)Michael's acquisition journey began with Walker Deibold's book Buy Then Build, which challenges the conventional startup path. After running a small Amazon arbitrage business selling New Mexico green chillies, he realised he wanted something larger but wasn't passionate about scaling what he had."When you buy a business, that's what you're buying," Michael explains. "You're buying the existing customers and that goodwill and those supplier relationships. If it's a new business that doesn't have a lot of existing customers, there's not really a whole lot of value there."The appeal is straightforward: an established business has already solved product-market fit, built supplier relationships, and proven people will pay for what you're selling. But as Michael discovered, you're also inheriting someone else's platform choices, brand positioning, and technical debt.Finding the Right Business After 40 Evaluations (09:10)Michael spent 18 months evaluating 30 to 40 businesses before finding the right fit. His criteria were non-negotiable:No Chinese suppliers. As a National Guard member with security clearance for 22 years, the China arbitrage model raised both practical and security concerns. "I just felt like eventually that wasn't sustainable. Like at some point that arbitrage opportunity is going to disappear."Own website, not Amazon-dependent. Having experienced Amazon's unpredictability firsthand, Michael knew he didn't want a business that could collapse from one complaint or account suspension.Strong customer base and email list. This represents the real value in an acquisition—the relationships and proven demand.Genuinely interesting products. Michael didn't want to sell women's clothing or supplements he didn't believe in, even though the margins were attractive.When Discount Catholic Products appeared—an 18-year-old business selling medals, prayer cards, and crucifixes made in Italy and the US—it ticked every box.How SBA Loans Work for Business Acquisitions (11:06)The Small Business Administration loan programme gave Michael access to 90% financing—he only needed 10% down on a half-million-pound sale. During COVID, the government sweetened the deal further: they waived the typical 2% fee and covered the first three months of payments."Between those two things, that was like £30,000 that we saved just by getting...

Less than 30% of customers buy a second time, and subscription brands lose 50% within 90 days. Ken Rapp from BluStream reveals why this isn't a marketing problem—it's a post-purchase problem that's costing brands millions in repeat revenue.Episode SummaryThe conversation explores what Ken calls the "doorstep to delight" phase—that critical window between clicking buy and becoming a loyal customer. Through stories of dog probiotics, cracked guitars, and missing vanilla extract, Ken demonstrates how brands lose connection with customers the moment a purchase is complete. He breaks down his three-stage framework for product ownership (unboxing, usage, and care) and shares practical strategies for engaging customers through messaging platforms like WhatsApp and SMS. The episode reveals how brands are achieving 30% increases in repeat sales and 30% reductions in churn simply by delivering personalised, timely support after the sale.Key Point Timestamps:05:07 - The Scale Problem: When Success Kills Personalisation12:15 - The Doorstep to Delight Framework18:49 - Quick Wins for Post-Purchase Engagement23:38 - The Five-Message Rule28:40 - Understanding the Second Why40:01 - The Apple Standard for Customer ExperienceThe Scale Problem: When Success Kills Personalisation (05:07)Ken shares the story of a dog probiotics brand that knew every pet parent's name, their dog's name, and whether it was a Chihuahua or a Great Dane. Then she got distribution through Whole Foods—a dream for most brands—but it meant game over for personal connection."She started to be successful. And as she started to be successful, she couldn't have a personal relationship anymore," Ken explains. This captures the fundamental challenge: the very success every business chases kills the thing that made customers fall in love with the brand.This isn't a mistake brands are making. It's a limitation we've accepted as inevitable. When you're small, handwritten notes and personal touches are manageable. But as you scale, those become impossible to maintain—or so we thought.The Doorstep to Delight Framework (12:15)Ken breaks product ownership into three stages where brands can create connection at scale:Unboxing (Activation): This is where skill level matters most. A beginner needs different support than an expert. Do they know they need batteries? Have they read the fine print about three-month timelines?Usage (Engagement): This is what Ken calls "the second why." The first why is wanting trainers. The second why reveals actual use—marathon training, daily comfort, or collection piece. Understanding this changes everything.Care and Maintenance: Not every product needs this, but for guitars, beauty products, and supplements requiring ongoing care, this is where lifetime value lives. Ken learned this watching his prestigious guitar crack during Boston's dry winter because the brand's care videos weren't delivered when he needed them.The Five-Message Rule (23:38)Ken shares a powerful tip: don't send any coupons or review requests for the first five messages. Just deliver value."We have over 90% of the consumers on behalf of dozens and dozens of brands still on journeys today, months, quarters, years later, because they really appreciate getting tips and advice and having a connection back to the brand."Think about your inbox. Review requests before unboxing? Coupons for second purchases when you haven't tried the first? Brands play the numbers game at scale, but it kills the engagement they're trying to create.Understanding the Second Why (28:40)Ken's platform creates personalised journeys based on how customers actually use products. Are you training for a marathon or wearing trainers for daily comfort? This "second why" determines everything—relevant tips, usage tracking, and...

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...

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...

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

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...

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...