retail media

The sleep app learned to buy. That is the whole game now.

9 September 2026

A sleep-tracking game now wants to do your shopping. Not point you to a shop. Do the shopping. That small, slightly absurd promise is the clearest picture yet of where retail is heading, and most retailers are not looking at it.

The app in question is a gamified sleep tracker, and the enthusiasm came from one of its users, a poster who wrote that they “absolutely love that my sleep app is now smart enough to be my own personal shopping assistant” and that “we shouldn’t have to close our game to go buy the things we need to sleep better.” The pitch, in their words: the cute AI agent can “figure out what we need, find the perfect cozy product, and buy it for us right inside the app.” The industry has a drier name for it. Agentic commerce. The user preferred “magic.”

Strip away the glowing shopping bags and the mechanism is stark. The app has your data, the app has your attention, and now the app proposes to have your wallet. Meta is building the same shape at the other end of the scale, with Muse, pitched as a personal AI agent to “get more done” across everyday tasks. A sleep game and a trillion-dollar platform are converging on one idea: the software that sits closest to you should also be the thing that buys for you.

Here is why it matters, and it is not the novelty. For thirty years the contest in retail was for the shelf, then for the search result, then for the feed. Each was a fight to be seen by a human who would then decide. The agent removes the human from the middle of that sentence. The sleep app does not show its user a page of pillows and mist diffusers to browse. It picks one. The moment of truth, the instant an impression becomes a purchase, moves from a shopper’s eye to a model’s judgement. And the model was trained, tuned and paid for by whoever owns the app.

Follow the incentives, because they are the story. When an agent buys “the perfect cozy product,” who defined perfect? The brand that optimised its product page for machine reading, as sellers on the ecommerce forums are already asking how to do. The brand that struck a commercial deal with the platform. The platform’s own private label. Perfect is a slot, and slots get sold. The retailer’s old question was how to rank on the shelf. The new question is what the agent believes about you, and what it costs to change that belief.

There is a harder edge underneath the cosiness, and it deserves naming. To buy for you, an agent needs your payment details, your address and standing permission to spend. One engineer, writing about giving an AI agent shell access, put it plainly: the agent “has everything you have because it is you” as far as the system is concerned. A sleep app that can charge your card while you sleep is a convenience and a surface for things to go wrong, in exactly equal measure. The trust you extend is not to a brand you chose. It is to an intermediary that chose for you.

China worked this out first, as it usually does. Alibaba and JD.com spent a decade collapsing discovery, payment and delivery into a single tap inside a super-app, so the distance between wanting something and owning it shrank to nothing. The West is now arriving at the same destination by a different road, through the AI agent rather than the super-app. The lesson is identical. Whoever owns the last decision owns the margin.

What to watch. Watch for the first agent that buys against its user’s stated wish, quietly steered by a commercial arrangement the user never saw. That is the moment the debate stops being about magic and starts being about disclosure, and it is coming sooner than the glowing shopping bags suggest.

The Roth Read. If you run a brand, stop optimising the page a person reads and start optimising the answer a machine gives. Your next buyer does not have eyes, a budget it can be tempted past, or a reason to remember you fondly. It has permissions, a checkout, and whatever the platform told it about you last.

Your loyalty card was built to persuade a person. Soon it must persuade a machine.

26 August 2026

For thirty years, the loyalty card had one job: to nudge a human being. Earn, save, redeem, come back. Now a colder reader is arriving at the counter, one that does not feel loved and cannot be flattered. The question is no longer whether your programme moves a shopper. It is whether it moves an algorithm.

That is the argument running through a set of recent pieces on where loyalty is heading. Writing in Inside Retail, the analysis is blunt: programmes built to influence human decision-making may now also need to influence machine decision-making, because an AI assistant weighing several retailers on a customer’s behalf will consider loyalty benefits alongside price, convenience and availability. The same study found 80.4 per cent of Australian retailers naming loyalty a strategic priority for the next 12 to 18 months, and 57.1 per cent still describing their loyalty capability as maturing. In Forbes, Len Covello of Engage People puts the shopper’s side plainly: “It’s not trophy value anymore. This is currency, and it’s something I expect to have utilization with.”

Hold those two shifts together, because they are the same shift seen from two ends. Points are becoming spendable money, and the thing deciding where they get spent is increasingly software.

Here is why it matters, and it is not the part the headlines reach for. The romance of loyalty was always the emotional bit: the tier, the badge, the feeling of being recognised. A machine strips that out. It does not care that you are Platinum. It cares whether Platinum can be read, priced and applied inside the answer it is about to give. As Denise Holt of Phaedon argues in Loyalty Magazine, the first piece of work is plain: your loyalty value has to be legible to the assistant at the moment it is comparing options. Legible. Not lovely. Legible.

That single word rewrites the brief. For years the loyalty team optimised for feeling. Now it must optimise for a data contract. Can an agent see the points balance without a human logging in? Can it tell that 4,000 points knocks a real number off a real basket, today, at checkout? Can it apply status the way it applies a coupon? If the answer is no, your programme is invisible at exactly the moment the sale is decided. The store did not lose the customer. It lost the introduction.

And there is a trap on the other side. The tempting response to a machine that shops on price is to feed it discounts. Monocle warns where that ends: perpetual 15 per cent off is not a loyalty programme, it is a subsidised promotion in a loyalty costume, training your best-looking cohort to carry your worst margins. Hand an agent nothing but a discount and you have taught it to treat you as the cheapest tab, not the preferred one. The moment your only signal is price, you have volunteered to be a commodity.

This is the machine moment of truth arriving in the one place retailers thought they owned outright: their own members. The relationship you spent a decade and a marketing budget building now has a translator sitting between you and the shopper, and the translator only speaks in structured data and applied value.

What to watch. Watch for the first retailer whose points become natively spendable inside an AI assistant’s answer, the way Engage People’s Access Plus already links balances to checkout at Amazon, BP and PayPal. When a balance is a payment option an agent can reach for without a human clicking, the programmes that stayed a walled garden of emotional tiers will find the agent simply reads past them.

The Roth Read. Stop asking whether your customers love your loyalty programme. Start asking whether an algorithm can read it, price it and spend it in the three seconds it takes to answer “what should I buy.” A reward a machine cannot see is a reward you are no longer giving, and the emotion you built the whole thing on is the first thing the machine throws away.

The gurus are selling shovels. Somebody is selling them the dirt.

19 August 2026

Scroll far enough through your feed and you will meet him. The young man with the drop-shipping ebook, the promise of a hundred thousand a month, the single word you must type in the comments to unlock the secret. Drop ‘GUIDE’, he says, and the empire is yours. It is worth asking who is actually getting rich here.

The evidence is not hard to find. On Instagram this week one such account told followers that “100k a month is hard… until you know the exact tools to scale,” then offered an exclusive ecommerce ebook to anyone who typed GUIDE in the comments. On TikTok, creators tag the same cluster of hashtags, #amazon, #marketplace, #ecommercetips, #ppc, and sell the dream of the frictionless marketplace fortune. It is a genre now, complete with its own grammar and its own props.

The easy read is to dismiss the genre. The more useful read is to ask what makes the genre possible at all, because the answer tells you more about the state of the marketplace economy than any earnings call.

Here is what makes it possible. The barrier to opening a shop on Amazon or any marketplace is now close to zero. That was the whole promise: anyone can sell to anyone. What the promise omitted is that when everyone can sell, selling stops being the hard part and being seen becomes the only part. The gurus are right that the tools exist. What they leave out is which side of the counter the money sits on.

Because the marketplace has quietly rewritten the deal. A decade ago, opening a store on Amazon meant renting the shelf. Today it means renting the shelf, then paying again to be visible on the shelf you already rent. Retail media, the PPC in those hashtags, is the fastest-growing line in the business. Amazon’s advertising arm turned over more than sixty-eight billion dollars in 2025, up twenty-two per cent on the year, on the company’s own reported figures. What it earns on that, Amazon has never disclosed: advertising is not a reportable segment, and analysts’ estimates of the margin run from forty per cent to eighty, which tells you they are estimates. That is not a rounding error on the retail operation. It is increasingly the operation. The seller pays for the pitch, pays for the placement, pays for the click, and Amazon collects at every gate. The gurus sell shovels. Amazon sells them the dirt, the map to the dirt, and the licence to dig.

This is the machine lens in its plainest form. The old moment of truth was a shopper in front of a shelf. The new one is The Machine Moment of Truth and the is a variant of it an auction, resolved in milliseconds, deciding which of ten thousand identical white-label kettles the shopper is even shown. The independent seller does not lose the sale. He loses the introduction, and he pays for the privilege of losing it. The person promising you a hundred thousand a month is describing a business where the house takes its cut before you make your first pound.

None of which means the marketplace dream is dead. It means it has matured into something the ebook will never tell you: a business where distribution is a rented utility and margin is a line you defend, not a windfall you collect. The people genuinely making money on marketplaces today are not following the guru. They are the ones who understood, early, that the fee they pay to be seen is the real price of the shelf, and priced their goods, and chose their categories, accordingly.

What to watch. Watch the guru pivot. As agentic shopping arrives, the ones selling “how to rank on Amazon” will start selling “how to get chosen by the AI.” The mechanism will change, the auction will move upstream to the model, and the same lesson will apply: whoever controls the introduction controls the margin. When the ebooks start using the word ‘agent’, you will know the next enclosure has begun.

The Roth Read. If your growth plan depends on a hashtag and a free ebook, you do not have a business, you have a subscription to somebody else’s advertising revenue. Stop asking how to win the marketplace. Start asking who is collecting the toll every time you try, and whether your margin can survive the crossing.