Anja Münch

Your customers only add ONE item to cart… and leave money on the table? Small outdoor e‑commerce brand on Shopify. Solid traffic, but AVERAGE ORDER VALUE STUCK at £48. Same ad spend, but margins getting thinner every quarter. The founder told me: (We can’t keep increasing ad budget. We need to earn more per customer.) Data confirmed it: 80% of orders were just a single main product, NO ADD‑ONS, NO BUNDLES. My goal: increase basket size WITHOUT touching ad spend. So we mapped the journey → product page → cart → checkout → post‑purchase page. We saw generic “You may also like” blocks that ignored SEASONALITY and CUSTOMER HISTORY. We replaced them with an AI recommendation engine integrated into Shopify. The model analysed purchase history, on‑site behaviour, and season (summer hiking vs winter camping). We set micro‑rules: e.g. tents → show footprint + lantern, not random items. Launched as a 4‑week A/B test: 50% see AI blocks, 50% see old static upsells. After 6 WEEKS: AVERAGE BASKET SIZE UP 15% in the AI group. CUSTOMER RETENTION UP 12% (more people came back for “complete kits”). The project paid for itself in UNDER 45 DAYS and required ZERO NEW HIRES. Tech time: about 10 HOURS total to integrate, test, and tune. While you’re reading this, your competitors are already training AI on their store data. If your AOV is flat but traffic is decent, that is usually a RECOMMENDATION problem, not a TRAFFIC problem. If you’re running an e‑commerce or DTC brand and want HIGHER AOV without bigger ad spend, read this. Drop “AOV” in the comments and I’ll share the exact 3‑step framework we used 👇

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How €100M+ brands build product pages that print money Most e-Commerce stores get this completely wrong... After creating 150+ high-converting pages for brands like SNOCKS (€90M+) and KoRo (€100M+), here's the exact framework: ✅ Step 1: Map your customer's "Hell Island" to "Heaven Island" journey  ✅ Step 2: Create a decision matrix (not what you think)  ✅ Step 3: Use behavioral design to guide every click Results:  - €13M+ added revenue, - 2.7%+ conversion rates Full framework in the carousel below 👇

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Google just updated Merchant Center rules: out-of-stock products must now show a visibly disabled buy button: grayed out, not hidden or clickable. If your Shopify theme hides the button entirely when inventory hits zero, that's now non-compliant and could trigger disapprovals. The bigger picture: Google is training us to maintain real-time inventory accuracy because that's table stakes for AI-powered shopping. They need consistent signals across millions of SKUs to power whatever's coming next. The UI rule is just the enforcement mechanism.

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We scaled. We optimized. We won. And then - September punched us in the face. This Google Ads account sells a lot of products. Only in Austria. High SKU count. High complexity. Classic “it works… until it doesn’t.” For months, conversions were climbing. Week over week. Stable CPAs. Strong Shopping volumes. ROAS trending in the right direction. Then September hit. Conversions dropped. Efficiency collapsed. And the whole account felt… off. Not because “the algorithm changed.” But because complexity caught up with us. Too many product groups. Too many campaigns. Too many experiments layered on top of each other. At some point, you’re not scaling - you’re diluting. So we did what every performance marketer hates doing: ➡️ We tore the whole thing down. ➡️ Back to basic structures. ➡️ Full consolidation. ➡️ One clear signal per campaign. ➡️ Fresh learning phase. ➡️ Strict feed cleanup + new priority logic. ➡️ And a reset across Shopping / PMax. The result? The curve instantly stabilised. Conversions came back up. Cost per conv dropped. And the account finally started behaving like a system again — not a scrapyard of half-finished ideas. Lesson: When an account tanks, the answer isn’t panic. It’s clarity. Most E-Com accounts don’t fail because of low budgets or weak products. They fail because they get too messy to scale. What’s the biggest mess you ever had to clean up in a paid ads account? 👇 Curious to hear your war stories.

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Same-day delivery. By 11pm. In Germany. Germany, where delivery drivers learn quickly that ringing doorbells after 6pm is not a suggestion, it is a social contract. And when someone dares anyway, the correct response is to stand motionless in the hallway, lights off, quietly shushing the kids to be quiet before the neighbours notice. JD.COM did not get the memo. Joybuy launched this week across six European markets. The headline offer: order before 11am, receive by 11pm, for anything above €29. Currently live in six cities in North Rhine-Westphalia. No timeline for when the rest of Germany follows. The delivery promise is serious. JD.com built one of the most sophisticated logistics networks in the world. In China, they own the warehouses, the vans, the last mile. That vertical integration is real, and it shows in reliability numbers no European operator has come close to. Speed matters. Not because customers demand it consciously, but because every hour a competitor shaves off the delivery window changes what feels acceptable. That is the game JD is playing, and they know how to play it. But Germany is not that game. Yet. Joybuy is not a marketplace. It is a retailer: it buys the stock, controls distribution, delivers to the door. That means quality control. It also means a catalogue that is smaller than Amazon's. At prices that are not visibly better. The European pitch is speed. And the critics are ready. Claiming billions were spent proving that European customers will always choose cheap over fast. The speed delivery promise is dead, the argument goes. Customers want affordability, not a courier at 10pm. That is part of the truth. But only part of it. Which brings us to the interesting part. Amazon just rolled out one-hour and three-hour delivery across hundreds of U.S. cities. Los Angeles. Chicago. Washington D.C. Amazon, the company that has spent years struggling to hit its own Prime windows in Germany, is now moving hard on speed, not on price. Write the obituary for fast delivery if you want. Amazon apparently did not read it. The question is not whether Joybuy can make same-day work in Germany. The question is when Amazon decides Germany is next. And whether Joybuy will have built enough of a foothold by then to matter. JD.com is not wrong about where logistics is going. They may just be two years early, in the wrong country, ringing doorbells at 10:50pm. Would you open the door? https://lnkd.in/d3iMU-M3

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Most teams ship new product features based on local KPI wins. If you work in marketing or ops, you’ve probably experienced this moment: Product ships a feature. Numbers look good. Your gut says: something’s off. That tension exists because many teams optimize locally instead of experimenting systemically. Zalando’s engineering and product leads, Marcel Toben and Nils Stotz, explained their approach: new product features are tested against local metrics, but decide using system guardrails. Why? Because a lift in revenue can hide drops in margin, trust, or retention. Shipping decisions shouldn’t be based on isolated KPIs.They should be based on system impact. And honestly? That’s the kind of thinking my brand heart dreams of. Learn more about their approach here: https://lnkd.in/d8q7vKUt #ebe2026

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𝐎𝐧𝐞 𝐩𝐫𝐨𝐝𝐮𝐜𝐭. 𝐎𝐧𝐞 𝐦𝐚𝐫𝐤𝐞𝐭𝐩𝐥𝐚𝐜𝐞. 𝐀𝐧𝐝 𝐢𝐭 𝐪𝐮𝐢𝐞𝐭𝐥𝐲 𝐫𝐞𝐰𝐫𝐨𝐭𝐞 𝐭𝐡𝐞 𝐞𝐧𝐭𝐢𝐫𝐞 𝐚𝐜𝐜𝐨𝐮𝐧𝐭'𝐬 𝐏&𝐋. Last year, we launched a new product for a client in the German marketplace. I won't romanticize the start — it was rough. The ratings were shaky. The reviews weren't kind. And honestly, there were weeks where I questioned whether this product was worth the fight. But underneath the noise, one thing was clear: the demand was real. The market wanted this product. We just hadn't given it a version worth buying yet. So instead of killing the listing, we went back to the drawing board: → We did deep research into what customers were actually complaining about → We changed the product itself, not just the listing → We deliberately over-delivered on value relative to the price we sell at That last part matters. We didn't try to win on being the cheapest. We tried to win on being the obvious choice at the price. Then we layered in a strategic PPC plan to push the improved product back into the market with momentum. 𝐓𝐡𝐞 𝐫𝐞𝐬𝐮𝐥𝐭 𝐭𝐡𝐢𝐬 𝐲𝐞𝐚𝐫? 📈 → YoY, we're up across the board in DE → Monthly profit moved from roughly €3K to €9K → Margins expanded from ~23% to over 30% in recent months → And this product is now the top seller in the entire account 𝐇𝐞𝐫𝐞'𝐬 𝐭𝐡𝐞 𝐥𝐞𝐬𝐬𝐨𝐧 𝐈 𝐤𝐞𝐞𝐩 𝐜𝐨𝐦𝐢𝐧𝐠 𝐛𝐚𝐜𝐤 𝐭𝐨: PPC didn't save this product. A better product did. Ads can scale a great offer. They can't fix a bad one. When the product genuinely over-delivers on value, every euro of ad spend works harder and that's when a single SKU stops being "a product" and starts being the engine of the whole account. Fix the product first. Then let the strategy multiply it. 🚀 #Amazon #Brandgrowth #Amazonads

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How €100M+ brands build product pages that print money Most Ecom stores get this completely wrong... Here's the exact framework we use to create high-converting pages for brands like SNOCKS (€90M+) and KoRo (€100M+): ✅ Step 1: Map your customer's "Hell Island" to "Heaven Island" journey  ✅ Step 2: Create a decision matrix (not what you think)  ✅ Step 3: Use behavioral design to guide every click Results:  - €13M+ added revenue, - 2.7%+ conversion rates Full framework in the carousel below 👇

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𝗠𝗲: What’s a realistic percentage of what you can measure? Let’s say you have 1,000 orders in the backend, how many do you actually see in GA4? Andreas Hofer (KlickImpuls GmbH): From my experience, it’s somewhere between 70 and 90%. Here’s how Klickimpuls gets there: 1. 𝗜𝗺𝗽𝗹𝗲𝗺𝗲𝗻𝘁𝗶𝗻𝗴 𝗧𝗔𝗚𝗚𝗥𝗦 𝗦𝗲𝗿𝘃𝗲𝗿-𝘀𝗶𝗱𝗲 𝗧𝗿𝗮𝗰𝗸𝗶𝗻𝗴 ↳ Ensures conversions are attributed to the correct channels instead of ending up in “Direct” due to lost click identifiers. 2. 𝗨𝘀𝗶𝗻𝗴 𝗔𝗱𝘃𝗮𝗻𝗰𝗲𝗱 𝗖𝗼𝗻𝘀𝗲𝗻𝘁 𝗠𝗼𝗱𝗲 ↳ Models conversions more accurately by making use of additional contextual signals 3. 𝗘𝗻𝗮𝗯𝗹𝗶𝗻𝗴 𝗘𝗻𝗵𝗮𝗻𝗰𝗲𝗱 𝗖𝗼𝗻𝘃𝗲𝗿𝘀𝗶𝗼𝗻𝘀 ↳ Sends hashed email or phone data to improve attribution accuracy. 4. 𝗗𝗲𝘀𝗶𝗴𝗻𝗶𝗻𝗴 𝘁𝗵𝗲 𝗖𝗼𝗼𝗸𝗶𝗲 𝗕𝗮𝗻𝗻𝗲𝗿 ↳ Small tweaks in copy, layout or logic can lead to big differences in consent rates. This approach helps Klickimpuls scale tracking and drive measurable results for their clients. Book a demo, because growth starts with complete and future-proof tracking ➡️https://lnkd.in/edxJPZ2g

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