Week 17 - AI ecommerce traffic beats paid search: China’s $526M fines, Amazon breakup plays, and Shopify growth stories

Max: MUSIC MUSIC MUSIC Rachel: Welcome to the Checkout Point, your quick dive into this week's e-commerce buzz with me, Alex, powered by Blicket. These 20 minutes pack the latest trends, news and insights. Let's navigate the digital marketplace together. Ready? Let's go! Speaker 3: Okay, so welcome back to the Checkout Point. Speaker 4: Hey everyone, Glad you're here. Grab your coffee. This one matters. Speaker 3: Or your stress ball if you're selling on marketplaces. Seriously, you might need it. Speaker 4: Yeah, because China just dropped about $526M in fines on e-commerce platforms. Huge. Speaker 3: That's wild, right? Ghost shops, food safety nightmares, the whole mess. But we're turning it into a straightforward will a regulator wreck. Your Rec My Week Checklist Speaker 4: Very technical name, right? But seriously, if you're doing cross-border or dropshipping anything, you need to hear this. Speaker 3: Totally. And then we shift into AI traffic. Adobe says AI-driven traffic just passed paid search for U.S. retailers. Speaker 4: Which is genuinely huge. Etsy, Shopify, VTEX, they're all letting algorithms pick discovery and recommendations now. That's huge. Speaker 3: And we'll sketch out a scrappy 90-day test for AI traffic and merchandising without blowing your whole budget. Speaker 4: Then we're diving into the messy part, you know? The whole toxic relationship between brands and Amazon. Speaker 3: Welcome to the breakup therapist era. You've got a Vegas startup raising 25 mil literally just to help sellers depend less on Amazon. You know what I mean? Speaker 4: Exactly. And we're tying that to Avenue Z hitting Shopify Platinum, plus what Beekman 1802 and Manmade actually prove about real brand value on owned channels. Speaker 3: And when we talk own channels, we're landing on tools that actually... actually work. Shopify Sidekick, faster reporting, app cleanup so you can see what's moving before Q4 even lands. Speaker 4: Thoughtfully, I'll walk you through how that kind of reporting speed literally changed the way I looked at ROAS and retention on a project I was running. Speaker 3: So yeah, we're covering a lot of ground today. Regulators, AI, and some real Amazon relationship drama. Speaker 4: Right, so let's start where it really hurts. Speaker 3: Let's start with regulation and risk. China's handing out these massive fines, what everyone missed, and what you need to fix this quarter. Speaker 4: Stick with us. This might literally save you from a very expensive... Very expensive email from your compliance team. Speaker 3: All right, let's get into segment one. Three easy ways to get your questions to us. Check the description for our web form, text us at 747-293-4612, or call the same number to leave a voice question. However you reach out, we can't wait to hear from you. Wait, hold up. China just dropped half a billion in fines on e-commerce platforms. That is not pocket change. Speaker 4: Yeah, this is serious. We're talking about regulators going after what they call ghost shops on big marketplaces, you know? Speaker 3: Okay, break that down. Ghost shop. Sounds creepy, but what does that actually look like on the ground? Speaker 4: Think of a listing that looks legit, right? But the merchant behind it, Total question mark. ID is not verified, licenses are missing, or... Or straight-up fake, and nobody knows who's shipping the goods. Speaker 3: So basically, the platform's doing KYC, like meh, close enough, and next thing you know, you're getting mystery chicken wings shipped to your door, you know what I mean? Speaker 4: Exactly. And here's where it gets gnarly. A big part of those fines hit food delivery. Unverified restaurants, kitchens without real inspections, mislabeled ingredients, Stuff that can actually make people sick. Speaker 3: Yeah, that's not just buried in some TOS thing, that's actual public health we're talking about. Both were talking about. Speaker 4: Right. And Regulators basically said, look, these platforms made a ton of money ignoring this. So, boom, 3.6 billion yuan in penalties to send the message. Speaker 5: Hmm. Speaker 3: And here's the thing, this is across multiple giants, not just one bad actor. So the pattern is scale first, clean up later, and the later showed up with a huge bill. Speaker 4: I mean, come on. Verifying every merchant at scale is legitimately hard. hard. But it's not optional anymore, right? Speaker 3: So, real talk. If you sell cross-border or source from China, why should you care beyond, Wow, That's wild? Speaker 4: Two things. First, your supplier or marketplace could get caught in the sweep. Your factory selling under sketchy listings? Boom! Your collateral damage. Orders stuck, inventory frozen, payouts paused. Speaker 3: Or your listing just disappears overnight and you're like... Uh, Cool. There goes Q4. Speaker 4: Exactly. And second, this is basically a preview of what's coming everywhere else. If China's willing to fine its own platforms this hard, imagine what the EU thinks about unsafe products or what the US thinks about fake brands. Speaker 3: Yeah, wait, that's the wild part. People assume, oh, that's China, different rules, but the direction of travel is the same. More liability on platforms, less tolerance for mystery merchants. And here's the thing: that risk rolls downhill to you. Speaker 4: Platforms are going to get strict. More docs, tougher onboarding, surprise audits coming. OK, Speaker 3: here's the thing. What does unverified actually look like day to day? It can be honestly basic stuff. Speaker 4: Business registration doesn't match the bank account. ID photos that are blurry or clearly recycled. P.O. box addresses. Expired food licenses still showing as active. is active. is active. Speaker 3: Or the classic red flag, ten different shops, same product photos, same WhatsApp number, same random warehouse, like, come on. Speaker 4: Yeah, if you can spot that pattern as a shopper in two minutes, the platform can too. They just didn't want the friction. Speaker 3: So anyway, for brands outside China, lesson number one feels like, do real KYC on your partners even if the platform doesn't force you. Speaker 4: Right. Ask for current certs, actual licenses. This is not just PDFs. Cross-check those registration numbers on government sites. Search the factory name plus recall or lawsuit. Youd be shocked what shows up. Speaker 3: The Low-Tech OSINT Stack Speaker 4: Exactly. And if you're selling food, supplements, cosmetics, anything that touches someone's body, be extra careful. Don't just assume the marketplace did its job. Speaker 3: Alright, quick checklist time. I'm running a smaller brand. And I'm sourcing from China or selling on a big marketplace, what do I actually do this week so I don't wake up to a regulatory nightmare? Speaker 4: Okay, rapid fire. One, know who's actually behind every listing with your name on it. Random shop reselling your stuff without permission? Talk to the platform. Speaker 3: Mhm. Speaker 4: Two, audit of... Rachel: The product docs, test reports, ingredient lists, CERTs, keep them current and actually translated for your key markets, you know? Speaker 3: Three, dig into the platform's new rules. Yeah, those 12-page policy emails that everyone ignores? Skim for words like verification, liability, and food safety. It's boring, but it could save you. Rachel: Yeah, that boring email might be the thing that saves you from a surprise suspension. Speaker 3: Have a what if we get paused for 30 days plan. Cash buffer, backup channels, maybe your own site that can keep taking orders. Rachel: That last one's different, though. Risk isn't just legal, it's can we still make payroll if the marketplace money dries up for a month? Speaker 3: So here's the thing. Regulators are clearly tightening the screws on the easy growth levers. Spammy shops, sketchy food, fast scale without real checks. Rachel: Yeah, totally. That launch everywhere, fix it later plan. Later playbook, it's getting real expensive real fast now. Speaker 3: Which makes me think, if those gray area tactics and even some paid channels are getting squeezed, where does a normal merchant find the next wave of traffic and sales without stepping on a mineland? Rachel: But here's what I'm wondering: how do you actually pull this off without hiring a full legal team or a lawyer on retainer? Speaker 3: That's the question I want to dig into next. Okay, Shifting gears real quick, we have to talk about this Adobe stat. Rachel: Yeah, this one literally made me stop scrolling, you know? Speaker 3: Adobe is literally saying AI-driven traffic is now bigger than paid search for U.S. retailers. I mean, come on, AI beating paid search. That's wild, right? Rachel: Wow, somewhere a performance marketer just dropped their spreadsheet. Speaker 3: Tabs closed. Budget in tears. Rachel: So, um, here's the thing. More shoppers are showing up from AI-powered stuff now. Recommendations, smart search boxes, inbox placements. Not your typical Google ads anymore. Speaker 3: Right. You used to say, we buy clicks. Now a lot of traffic comes from the system suggested this product or the AI rewrote this email and got twice the opens. You know what I mean? Rachel: And that changes where you spend, right? I mean, if you're dumping 70% into paid search. search while AI widgets are quietly driving half your sales, that math just isn't working. Speaker 3: Totally. And you see it in how the big guys talk. Etsy is basically saying we're an AI company that happens to sell handmade stuff. I mean, that's the whole play right there. Rachel: Yeah, come for the crochet frogs, stay for the machine learning. Speaker 3: Their search is such a good example. You type gift for friend who loves plants, and it understands the vibe, not just keywords. That's wild, right? Rachel: And then the homepage gets creepy in the best way. You look at one ceramic pot and suddenly you're like, okay, how do they know I also need Monstera earrings and wall art? Exactly. Speaker 3: Which is great as a shopper and honestly kind of wild as a seller, because now your traffic isn't "I bid on plant pot," it's "The algorithm decided I'm the move right now. Rachel: So if you're a merchant, your whole job becomes, how do I feed that system good signals-clean titles, strong photos, good conversion, repeat. Repeat customers? Speaker 3: And maybe you buy fewer dumb search ads and instead you're paying to boost within that AI system, placements that actually understand context, not just random billboards on the highway. Rachel: And here's the thing: it's not just Etsy; Shopify and VTEX are baking that same AI magic right into their store stacks now. Speaker 3: Yeah, Shopify's doing it with the whole Assistant suite-AI descriptions, AI search, AI support. I support even AI image editing. It's everywhere now, honestly. Speaker 4: Which is genuinely huge if you're not super technical, right? You don't need a whole data science team for smarter recommendations. Flip a few toggles and a theme or app and boom, the platform does the heavy lifting. Speaker 3: VTEX is doing something similar, just way more enterprise. They're pushing AI search and merchandising for massive catalogs. Basically, you got 200,000 SKUs. We're showing the right 40 to each person. Rachel: Meanwhile, the smaller brand is like, I have 40 SKUs total, please just help someone find my size chart. Speaker 3: Both valid problems. Rachel: But here's the thing, AI is starting to sit right in the middle of discovery. So it's not just how do I buy traffic anymore, it's how do I become the obvious choice when the algorithm decides what to show. Speaker 3: Okay, so here's the playbook. 90 days, small brand. Tight budget. First thing you try. Go. Speaker 4: First thing, turn on AI search and recommendations in your store. Most Shopify themes have it, or grab a cheap app. Real test, 30 days on, watch your search exits and average order value. Speaker 3: Love that. Second move, test AI-written creative, but only somewhere you can actually measure it. Two versions of a description, one human, one AI. Winner stays, loser goes. Speaker 4: And tag it in your analytics. Rachel: Like this one used AI copy. Otherwise you're just guessing, and we don't operate on guesses. You need the actual data. Speaker 3: Third, tap into the AI traffic sources you've already got sitting there: Google Shopping smart campaigns, your email platform's recommendation units, even Amazon if you're selling there. Rachel: Yeah, just pick one channel where the algorithm does targeting for you, set a small, fixed budget, and judge it against your usual search spend. Speaker 3: And if it wins, cool, you shift more money. If it loses, also cool, now you know. No massive bet required. Speaker 4: One more small thing: clean your product data. AI is only as smart as what you feed it, you know. If your titles are Shirt 001 and half your images are blurry, no amount of smart tech saves that. Speaker 3: Error: AI could not locate product in chaos catalog. Speaker 4: Error: your catalog is chaos. Speaker 3: So here's the thing, we're getting this whole new wave of traffic from AI suggestions instead of paid search bids and it feels like an upgrade, right? But it changes everything. Rachel: It is, but here's the bigger question we're heading toward: All this AI traffic is fantastic, right? But whose checkout are you actually funneling it to? Amazon's or yours? Speaker 3: There it is. Rachel: Because your whole playbook changes if most of those AI AI clicks land on a marketplace listing you're renting versus a store you actually own. Speaker 3: And that's where it gets really interesting, because the traffic is getting smarter, but whose checkout does it actually land in? That's the whole game. Rachel: Totally. The traffic's getting smarter. But next, who controls the actual destination and the margin? Speaker 3: Alright, so with that in mind, we've got to talk about the most toxic relationship in e-commerce. Rachel: Commerce. Brands and Amazon. Speaker 3: Oh my god, yes. It's like, he's bad for me, but the traffic is so good. Rachel: Right? Right. And now you've got this Vegas crew raising 25 mil basically to be the friend who changes your Netflix password. Speaker 3: The hard breakup. So here's the thing. They go after mid-sized brands living off Amazon, like 80-90% of their revenue there. Rachel: All eggs, one basket. Speaker 3: Right. And they say we'll handle the messy part. That means unwinding weird reseller agreements, fixing listings, owning pricing rules, even helping you build your own site and other channels, right? Rachel: So they're not out here like, delete your seller account and manifest abundance. Speaker 3: No, they're solving three real pain points. Fees crushing margins, no customer data, and Amazon changing rules overnight. Rachel: Wait, hold on that second one real quick. No customer data is huge. You sell a million bucks on Amazon and you basically know a username and a zip code. That's it. You know what I mean? Speaker 3: Exactly. You can't email those people. You can't launch a membership or a refill program. You're literally just renting fans from Amazon, you know? You know, pretty Rachel: I mean, Amazon can literally kick you out of your own fan club. Speaker 3: much. So companies like this Vegas crew are basically like, we'll take the hit with you, rebuild demand off Amazon, get your Shopify store humming, hook Walmart, Target, maybe international markets. Rachel: So it's less anti-Amazon cult, more like Amazon is one channel, not your entire life. You know what I mean? Speaker 3: And that's where something like Avenue Z comes in, too. Rachel: Yeah, talk about them. Speaker 3: So Avenue Z, it's named a Shopify platinum partner, right? That badge is basically Shopify saying these folks know how to turn our platform and AI tools into revenue. Rachel: And into less Amazon dependency. Speaker 3: Exactly. They specialize in brands that want their own demand engine. So they're leaning into Shopify's AI commerce push. Stuff like smarter merchandising. AI copy, better attribution. Rachel: So here's the thing: if that Vegas crew is the breakup therapist, Avenue Z is the new personal trainer. You know, we're rebuilding your life, babe. Speaker 3: New branding, new funnels, who this? Rachel: But, I mean, come on, this isn't just agency pitch decks, right? You see it in real brands. Speaker 3: Yeah, Beekman 1802 is a great one. Rachel: The goat milk skincare people. Speaker 3: Yep, they could have stayed as just another marketplace brand, right? But instead... They went all in on their own store, subscriptions, community, storytelling. Now their value is tied to the brand and the actual data, not some random marketplace ranking. Rachel: And when retail buyers talk about them now, they're not saying, Oh, that Amazon seller. They're saying that brand with insane loyalty. Speaker 3: Same vibe with Manmade, that men's basics brand on Shopify. They started with like a tiny list and founder-led content instead of feeding only the Amazon machine. Rachel: Yeah, I love their story because here's the thing. They used marketplace exposure where it made sense, but the real asset is their own customer file and community. That's what you can actually sell one day. Speaker 3: Exactly. You can actually sell a brand with a million customers buying from your site, but selling just Amazon revenue with no customer list? That's just a risky cash flow stream, you know? Rachel: So if you're listening, here's what I'd write on a sticky note. Question one, if Amazon froze your account tomorrow, what percent of your revenue just vanishes. Speaker 3: And don't round, like really answer it. If it's over half, you're in Vegas breakup fund territory. Rachel: Yeah, that's the maybe I should sleep with my suitcase packed level of risk, right? Speaker 3: Exactly. Question two, where does my actual margin come from? Not where top line revenue shows up. Where do I keep the most dollars after fees, ads, returns, all of it? Rachel: Because I've seen brands brag about About big Amazon growth, then you dig into it and the actual profit living in this small but mighty Shopify store. That's wild. Speaker 3: Right. And that little store right there, that's what gives you negotiation power with retailers, with investors, even with Amazon if you stay there. Rachel: So here's the reality check real quick. We're not saying burn your marketplace business to the ground. Speaker 3: Yeah, look, I'm on both sides of it, you know. Marketplaces are still incredible for discovery and just... Just pure cash flow. Rachel: But here's the real win: When that AI traffic we talked about earlier is pointed at something you actually own, your list, your PDP, your membership program, not just a generic product page on someone else's platform. Speaker 3: And that's where Shopify comes back into the picture in a big way. Rachel: Right, because all these breakup therapists and platinum partners are building on top of Shopify anyway. Speaker 3: Exactly. So the owned channel comeback story usually looks like this. more volume through Shopify, AI personalization kicking in, and boom, Amazon isn't the main character anymore. Rachel: Speaking of which, that sets us up nicely for where we're going next. Speaker 3: Yeah, so in the next piece, we get super concrete. SNOCKS using Shopify Sidekick to speed up reporting, what that actually means for your day-to-day decisions. Rachel: And we can circle back to Manmade, too, and how tools plus data plus brand strategy actually... He actually scaled those guys. Speaker 3: Exactly. Super practical. If you're sitting there like, how do I actually start the Amazon detox without torching my cash flow, the next segment is your playbook. Rachel: Stick around, we're gonna get nerdy about tools, and I mean the good kind of nerdy. Shifting gears real quick, I want to talk about something super practical: Sidekick and reporting. Yeah, the nerdy stuff that actually makes you money, you know what I mean? Speaker 3: Exactly. So here's the thing. SNOCKS used Shopify Sidekick for their reporting and got answers 98% faster. Rachel: Wait, really? 98% faster? That's wild, right? Speaker 3: Right? Picture your Monday morning. Instead of sitting around waiting hours for a custom report. Sidekick just gives you what were my ROAS and return rate on Meta ads yesterday in plain English, you know? Rachel: And you can stack that like, cool, now show me which creatives drove the lowest return rate and it just spits it out. Speaker 3: Yeah, and that speed matters because ads, inventory, CRO tests, they're all moving daily. Lose half a day waiting on numbers and your decisions are already stale, right? Rachel: I mean, come on, so many teams are just living in that we'll check it next week zone because reporting is such a pain. Pain. Speaker 3: Totally. And that's the quiet superpower here. Sidekick didn't give SNOCKS some magic new metric. It just removed the friction between a question and an answer. Rachel: So if you're listening and you're not SNOCKS-sized, you're probably thinking, cool story, but what do I actually do tomorrow? Speaker 3: Here's the move this week. Write down the 10 questions you ask your data most often. Super basic language. Which channel brought the most new customers yesterday? What product is running low but still selling? Stuff like that. Speaker 4: Kind of a question bank. Speaker 3: Exactly. Then test an AI assistant on those questions. If you have Sidekick, awesome, if not, even a sheet plus ChatGPT Rachel: To translate the data into normal language is a solid start. Speaker 3: And if the tool can't answer the question, that's not an AI fail, that's your data screaming for help. Rachel: Yes, that means your tags, events, or naming are a mess, Fixing it's boring, but that's literally what turns AI from cool demo into we're actually trusting this for money decisions. Speaker 3: Okay, I want to tie this back to Manmade, because their story is basically the blueprint for all of this. Rachel: Yeah, Lets go there. Speaker 3: They went from around a hundred fifty thousand customers to passing a million-that doesn't happen by accident. Rachel: Come on! No way. Speaker 3: They didn't just crank ads and pray-they built this loop: brand people actually care about, data that tells you who's who, and tools that let you move fast. Rachel: You can see it in how they segment: they're not blasting the same offer to every guy on their list. They're doing "first purchase," "lapsed," "VIP." e) Specific product affinities. Speaker 3: And because it all lives in Shopify in their stack, they can ask sharp questions: how did repeat rate shift after that drop? Which email is actually worth more than the discount we're throwing at it? Rachel: So Sidekick-style reporting plugs right into that: ask which cohort from the past ninety days has the highest LTV--and boom, suddenly you know who actually deserves more love. Speaker 3: Or who you should stop discounting for. Rachel: Exactly. Better data often means fewer random discounts. Speaker 3: So if Manmade is the million customer blueprint, what can a smaller brand actually steal from them this week? Rachel: Two things. First, pick one metric and obsess over it. For Manmade, it's repeat purchase rate. For you, it might be first order margin or email driven revenue. Make it your North Star for the next ninety days. Speaker 3: Not twelve metrics. One. Rachel: one. Then second, rebuild your weekly routine around that metric with help from AI Every Monday, you ask the assistant "How did we do on x last week? What changed?" And you actually act on it. Speaker 3: Yeah, and act on it can be tiny, right? Like page B one, keep it. Or stocks low, pause the spend. Rachel: Those tiny moves stack up. Speaker 3: OK, one more thing: app bloat. Rachel: Oh yes, go there. Speaker 3: If you're serious about AI and beta, you can't have fifteen random apps all touching your customers and orders with zero coordination: that's how you get broken reports. Rachel: So here is a boring but genuinely powerful task this week: app spring cleaning. Export your installed apps, mark which ones directly help that one North Star metric, and which ones you haven't opened in months. Speaker 3: I mean, if an app isn't moving the needle on margin, brand or DTC Max: - Speaker 3: Under data quality, question why it's even still installed. Rachel: And if you can replace three apps with one better integrated tool, do it. Fewer moving parts, cleaner data, faster AI answers. Speaker 3: Right. All right, before we wrap this up, let me peek forward a bit on where AI commerce tools are actually heading. Rachel: Yeah, what's actually worth watching for in the next couple months? Speaker 3: Here's the thing. AI that sees across your whole stack, not just chat with Shopify, but chat with Shopify and Klaviyo. Klaviyo and your ad accounts and support tickets together. When that clicks, you ask stuff like: "Which ads bring customers who actually stick around and buy again? Rachel: That's the dream: less guessing and more show me the full picture. Speaker 3: Second, agents that don't just answer, they suggest. Like, this SKU's low but still hot, want me to dial down the ad spend? That's where it's heading. Rachel: And your job as a merchant is to be the editor-you approve, tweak or reject, but you're not starting from scratch on every single Max: ad. Rachel: Every decision. Speaker 3: So here's what I want from you this week. Write your top ten questions, test them on an AI assistant, and lock in that one metric to build everything around. Rachel: And maybe delete a couple of those mystery apps while you're at it. Speaker 3: Please, seriously, your future self's gonna thank you. Rachel: Coming up, we zoom out from the tools and talk about how all this actually shifts the way you think about growth for the rest of the year. Speaker 3: All right, we're going to land this plane before we open a GHOST shop by accident. Rachel: Please, no, I'm still stuck on that China fine segment. Here's the thing, if a platform can get hammered for sketchy sellers, so can your brand if you look sloppy, you know? Speaker 3: Yeah, here's the thing. Treat compliance and channel mix like revenue insurance, not paperwork. Rachel: Exactly. And if you were mentally checking your own what if we get paused for 30 days plan during that checklist bit. bit? Good. That's literally the homework. Speaker 3: Sorry, but also you're welcome. Rachel: Before we go, if this episode helped you think differently about Amazon risk or AI traffic, hit follow, drop a quick review, and share it with one operator who actually needs the nudge. Speaker 3: Yeah, yeah, you know that one friend always saying, we'll deal with that later. Send them this one. Rachel: Next time, we're getting super concrete with Shopify tools and AI workflows you can- You can actually test this week. Speaker 3: So stay tuned, stay out of Ghost Shop territory, and we'll catch you next time on The Checkout Point. Rachel: Thanks for hanging out with us today-really appreciate it. Speaker 3: See you soon!