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The Fake Customer Problem: Why Staged Authenticity Now Costs More Than a Bad Review

StreetCred Team 11 September 2026 4 min read

In June 2026, Australia’s consumer watchdog fined the teeth whitening brand Hismile $138,600. Not for a faulty product, though there was a product claims issue too, but for something more revealing: it had been posting “random shopper” reaction videos on social media in which the delighted, surprised customer was, in fact, a Hismile employee. No disclosure. No hint it was staged. Just a script dressed up as a spontaneous moment of joy.

It is a small case in dollar terms. But it is a preview of the next reputation problem heading for small businesses everywhere, including the UK: staged authenticity, and what happens once it is exposed.

1. The Business That Faked Being Loved

For years the advice to small businesses has been simple: real customers, real words, real trust. Somewhere along the way, some businesses skipped the “real” part and kept the format. Hismile’s staff played “ordinary shoppers” trying the product for the “first time” on camera. Investigators found the videos were scripted and the reactions rehearsed, then published as if they were candid.

The ACCC’s finding was blunt: consumers were likely misled into believing they were watching genuine, unprompted customer opinions. Hismile admitted the conduct breached Australian consumer law and agreed never to represent staff as members of the public giving a testimonial again.

2. Why This Is Now a UK Problem Too

The UK is not a spectator here. Since 6 April 2025, the Digital Markets, Competition and Consumers Act has made fake and concealed-incentive reviews a banned practice in their own right, not just something the Advertising Standards Authority frowns on. The Competition and Markets Authority can now fine a business directly, without going to court, up to 10% of global turnover, and has said fake reviews are one of its first enforcement priorities under the Act.

That is a meaningful shift for a hairdresser, plumber or café that has ever asked a friend to leave a five star review, filmed a “customer” who was actually a cousin, or nudged a supplier into a glowing Google review in exchange for a discount. None of that is new behaviour. What is new is that it is now explicitly illegal, actively policed, and expensive to be caught doing.

3. The Real Cost Isn’t the Fine

The fine is the smallest part of the damage. Once an audience decides a business staged its “realness”, the scepticism does not stay contained to the one video or the one review. It spreads backwards, through every review and testimonial the business has ever published, because the audience’s question changes from “is this good?” to “is any of this true?”

That is the mechanism behind the pattern reputation specialists now see repeatedly: a single exposed fake triggers review bombing on Google and Trustpilot from people who were not customers at all, a wave of one star ratings, and in some cases, sudden platform or payment processor scrutiny as the business is treated as a fraud risk rather than a marketing risk. A business can survive one bad review. It struggles to survive its audience deciding it lies by default.

4. What UK Small Businesses Are Doing Instead (and Should Be)

The businesses that will not have this problem are not the ones with the slickest content. They are the ones with the most boring, verifiable authenticity: genuine reviews, gathered by simply asking real customers at the right moment, published unedited, replied to honestly, including the negative ones.

Practice, legality and reputation risk at a glance
PracticeStatus under UK law (DMCCA)Reputation risk if discovered
Asking a real customer for an honest reviewFully permittedNone
Offering a discount in exchange for a review, undisclosedBanned since April 2025Moderate: erodes trust in that review
Staff or friends posing as ordinary customers on cameraBanned; CMA priority areaSevere: retroactive doubt across all content
Suppressing or hiding negative reviewsBanned under DMCCASevere: seen as active deception
Publishing unedited reviews, including critical onesFully permitted, and rewarded by AI searchBuilds trust

The last row matters more than it looks. AI systems such as ChatGPT and Google’s AI Overviews weight consistency and recency in reviews when deciding which local businesses to recommend. A thin, curated set of suspiciously perfect five star reviews now reads as a warning sign to both humans and algorithms. A messier, more honest review history reads as credible to both.

Conclusion

Hismile’s employees were not committing fraud in the criminal sense. They were doing what a lot of marketing has quietly done for years: manufacturing the appearance of spontaneous trust. The difference now is that regulators are watching, audiences are sharper, and AI systems are reading every review a business has ever collected as a single, permanent data set. The businesses that win from here will not be the ones who perform authenticity best. They will be the ones who never had to.