TikTok Shop backs micro-creators over mega-influencers, Google Ads adds channel prioritisation controls, and Shopify data shows AI outconverting traditional search.
TikTok Shop's own data is challenging how brands spend creator budgets. Google just handed advertisers real control over Performance Max. And Shopify says AI is converting shoppers better than Google Search.
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Your 8-minute briefing on the platforms, players, and profits driving digital commerce today. Hosted by Marco and Klara.
Marco: Three stories on the agenda today — and honestly, all three are worth your full attention.
Klara: TikTok Shop's surprising playbook for what actually drives sales. Google Ads handing advertisers more control over where their budgets go. And Shopify data suggesting AI is becoming a serious product discovery channel.
Marco: Big shifts across content, media buying, and search all in one show. Let's go.
Marco: TikTok's own data has just revealed something that challenges pretty much everything brands thought they knew about selling on TikTok Shop.
Klara: So let's rewind a bit. For the past couple of years, the dominant thinking in social commerce — that's selling products directly through social media platforms — has been to find the biggest creators you can afford and pay them to promote your products. The logic seemed obvious: bigger audience, bigger reach, bigger sales.
Marco: But TikTok Shop's internal numbers are telling a very different story. What's actually driving conversions — meaning purchases — isn't big-name creators with millions of followers. It's smaller creators posting more frequently. TikTok Shop is now actively pointing to this as its core success formula heading into Q4. More videos, from smaller accounts, performed better than fewer videos from major influencers.
Klara: And I think this makes a lot of sense when you think about how people actually behave on TikTok. It's not a platform where people go to watch polished celebrity endorsements. It feels more like scrolling through what real people are buying and trying. A smaller creator recommending a product feels like a tip from a friend rather than an advert.
Marco: Which means brands that have been spending big on a handful of high-profile creator deals may have been allocating their budgets completely wrong. If volume and authenticity are what convert, you'd be better off working with twenty smaller creators than one expensive one.
Klara: Though I'd add a note of caution here — managing twenty creator relationships takes real time and resource. It's not automatically cheaper or easier just because each individual deal costs less.
Marco: That's a fair trade-off to flag. But the data is the data — and if you're planning TikTok Shop activity for peak season, this finding deserves serious attention.
Klara: Now — let's move to our next story.
Marco: Google just gave advertisers something they've been asking for for a long time — actual control over where their ad budget goes.
Klara: To understand why that matters, you need to know a bit about how Google Ads has worked until now. For the past few years, Google has been pushing advertisers toward automation. Its system, called Performance Max, runs ads across all of Google's channels — Search, Shopping, YouTube, Display — and decides automatically where to spend your budget. In theory, the algorithm finds the best results. In practice, many advertisers felt they were handing over their budgets and crossing their fingers.
Marco: The specific complaint from ecommerce brands has been around transparency. Performance Max is a black box — you put money in, you get results out, but you often can't tell which channel actually drove the sales. For brands running Google Shopping in particular, that's been genuinely frustrating.
Klara: So what's changed? Google has now introduced channel prioritisation controls. Advertisers can direct spend toward specific channels — Search, Shopping, Performance Max — rather than letting the algorithm decide everything. There are also new budget allocation tools that let you override Google's automated decisions when you want to.
Marco: My read on this is that Google is responding to pressure. Retail media networks — the ad platforms run by retailers like Amazon, Zalando, or Tesco — have been taking budget away from Google because they offer cleaner attribution. That means clearer proof of which ad caused which sale. Google handing back control feels like a direct response to that competition.
Klara: I'd see it slightly differently. I think this is also Google acknowledging that full automation doesn't suit every brand or every season. Sometimes you need a human making the call, not an algorithm.
Marco: Either way — if you're running Google campaigns for peak season, this is worth revisiting with your team right now.
Klara: Our third and final story is up next.
Klara: Shopify has just published data suggesting that AI is quietly becoming one of the most effective ways shoppers discover and buy products online.
Marco: To understand the significance of that, you have to remember how product discovery has worked for the past decade or so. If you wanted to find a product, you went to Google, you typed in what you were looking for, and you clicked through to a result. Google Shopping has basically owned that moment. It's been the dominant way people find things to buy — and brands have spent enormous budgets trying to rank well there.
Klara: What Shopify is now showing, from its own live merchant data, is that AI-driven product discovery is converting at meaningfully higher rates than traditional search. And this isn't speculation from analysts or consultants — it's Shopify's numbers from real transactions across real shops. That gives it genuine weight. The report also makes clear this isn't just about AI being useful for customer service chatbots or writing product descriptions. It's positioning AI as a discovery channel in its own right.
Marco: And that changes the strategic question quite sharply. Up until now, the conversation for DTC brands has been: how do we show up in Google Shopping results? The new question might be: how do we show up when someone asks an AI assistant what to buy? Those are very different problems with very different solutions.
Klara: I'd hold slightly cautious here though. Shopify has a commercial interest in showcasing AI tools, and we don't yet have a full picture of which categories or price points are seeing these conversion lifts. A discovery channel that works brilliantly for skincare might perform very differently for furniture.
Marco: That's a legitimate caveat. But the direction of travel is hard to ignore. If you're planning your visibility strategy for next year, AI discovery probably needs to be on the agenda — not as a future experiment, but as a real investment question right now.
Marco: The single biggest takeaway from today — the channels that used to work on autopilot are all being renegotiated at once, from TikTok's creator playbook to Google's budget controls to how AI is quietly reshaping product discovery.
Klara: So ask yourself honestly: where are your customers actually finding you right now — and is that still the answer it was twelve months ago?