Key findings
- The Digital Markets, Competition and Consumers Act 2024 and CMA guidance make fake and misleading review practices a current consumer-protection and competition issue, rather than a narrow marketing concern.
- Credible reviews can improve pre-purchase decisions where customers cannot readily judge quality in advance. Distorted positive reviews can reverse that benefit by steering demand towards poorer offers.
- The principal SME risk is usually not an isolated fake review but a weak end-to-end system: selective invitations, conditional incentives, poorly controlled moderation and stale or context-free promotional claims.
- A proportionate control model should make public claims traceable to a documented review process, while treating recurring feedback as evidence for service improvement rather than merely reputation management.
Review integrity is now a management issue, not a marketing metric
A five-star average is not, by itself, evidence of a well-run business. The more important question is whether the information a prospective customer sees is a trustworthy guide to choosing that business over another.
That matters especially in local and small-business markets. Before booking a tradesperson, choosing a care provider, visiting a hospitality venue or purchasing a specialist service, customers often cannot fully assess quality in advance. Reviews, ratings and testimonials therefore function as pre-purchase information. They can direct demand towards firms that offer better value, reliability or service; they can also direct it towards firms that have become more adept at shaping an appearance of quality.
The UK framework now treats that distinction as a consumer and competition concern. The Digital Markets, Competition and Consumers Act 2024 addresses specified fake-review practices, while CMA guidance sets out expectations around preventing and removing fake reviews, incentives, and the fair presentation of review information (Digital Markets, Competition and Consumers Act 2024 ↗; CMA, 2025 ↗). The CMA’s 2026 announcement of investigations into five businesses is a practical enforcement signal: the regulator is examining review-related conduct, not merely warning consumers to be cautious (CMA, 2026 ↗).
An investigation is not a finding that a business has broken the law. But it reinforces a necessary shift in mindset. Review integrity is an end-to-end information system. In a typical SME, that system may span front-line staff requesting feedback, a platform hosting reviews, an agency running paid campaigns, a website widget showing an aggregate score and an owner approving a leaflet. When responsibility is divided between those actors, unsupported claims can persist because each participant assumes someone else has checked them.
Sanctuary’s judgement is that review governance should sit with an owner or senior manager as an information-integrity responsibility. Marketing should use review material, but should not be its only custodian. Someone must be able to explain what a score represents, how it was obtained, whether it remains current and when it should be corrected or withdrawn.
The commercial value lies in better matching, not a promised sales uplift
The strongest economic case for review integrity is informational. Research on digitised crowd ratings in the book market finds that reviews can materially improve pre-purchase information and consumer welfare; in the authors’ baseline model, the aggregate consumer-surplus effect of crowd ratings exceeded that of traditional review outlets by more than tenfold (Reimers and Waldfogel, 2021 ↗).
That result is not a revenue forecast for a local retailer or service business. Books differ from repairs, childcare, hospitality and personal services in the ease of judging quality, repeat purchasing, switching costs and consequences of a poor decision. Local customers may also face fewer alternatives than online book buyers. Yet the underlying mechanism travels: when quality is difficult to observe before purchase, credible information can improve the match between customer needs and provider capability.
This mechanism is particularly relevant to smaller firms. An independent business cannot always match a national competitor’s advertising budget or brand familiarity. A credible record of customer experience can partly reduce that disadvantage. Conversely, a manipulated review profile may reward presentation over delivery, weakening the payoff to firms that invest in staff capability, dependable operations and customer care.
Experimental research provides a cautionary counterpart. Akesson and colleagues find that positive fake reviews can increase selection of lower-quality products and generate consumer-welfare losses in their study setting; their consumer-education intervention reduced the harmful effect (Akesson et al., 2023 ↗). This is a working paper, and its estimates should not be converted into a calculation of loss for an individual UK SME. Its more defensible implication is causal: false positive signals can alter choices in ways that advantage poorer offers.
The CMA’s evidence review of online choice architecture supplies the broader policy logic. Information that is distorted, selectively prominent or presented without material context can impair consumer decision-making and competition (CMA, 2022 ↗). In high streets and local service markets, that can divert spending away from more capable providers and reduce the incentive to compete through genuine quality.
There is also an internal effect. If staff invite feedback only from customers expected to be pleased, or treat criticism chiefly as a reputational threat, management loses diagnostic information. Repeated failures in scheduling, handovers, accessibility or complaints handling become easier to miss. This is Sanctuary’s interpretation rather than a claim that compliance automatically raises revenue: a more representative feedback stream gives managers a better basis for finding and fixing operational weaknesses.
A review can be accurate in calculation but misleading in presentation
The key practical distinction is between a review’s existence and the claim built around it. A platform may calculate an average correctly from the reviews it holds, yet the way a business presents that average can still create a misleading overall impression. A rating may be stale, based on a narrow customer cohort, generated before a change in ownership or service scope, or displayed beside a booking button without explaining its source.
The CMA guidance is relevant because a trader that makes consumer reviews or consumer-review information available through its own media, including a website or print publication, is treated as a publisher (CMA, 2025 ↗). An SME that embeds a ratings widget, reproduces a marketplace score in a leaflet, states that a percentage of customers recommend it, or turns a review into paid social content has moved beyond passively receiving feedback. It is making a representation to prospective customers.
Selection is not inherently improper. A case study can legitimately feature a satisfied customer, and a testimonial page need not reproduce every critical comment. The issue is the total impression created. A page headed “What our customers say” that contains praise alone may imply a representative cross-section unless its limited basis is clear. Likewise, an “excellent” score carries less decision-making value when readers cannot understand its source, period, review population or relevance to the service they are considering.
CMA guidance identifies the suppression of genuine reviews, selective promotion in one direction and omission of material information about review production as potential forms of misleading publication (CMA, 2025 ↗). The practical lesson is not that every public claim requires lengthy qualifications. It is that material context should not be removed when doing so changes what a reasonable prospective customer is likely to infer.
A fair counterargument is that SMEs cannot replicate a major platform’s fraud-detection operation or independently authenticate every reviewer. Nor should they be expected to do so. The CMA guidance is framed around reasonable and proportionate prevention-and-removal measures, risk assessment and evaluation of effectiveness (CMA, 2025 ↗). Proportionality should reflect review volume, the extent to which the firm relies on ratings to acquire customers, use of incentives, the potential consequences of a poor purchase decision and the business’s ability to verify that a transaction occurred.
Four ordinary practices can weaken the signal
Most avoidable exposure does not begin with purchased fabricated reviews. It begins with familiar commercial habits that systematically shape what customers see.
**Selective solicitation.** Asking only customers whom staff expect to be happy, or telling employees to pursue a particular star rating, can make the resulting profile less representative. A business does not have to invite every customer at the same moment or in identical circumstances. It may sensibly seek feedback after completed work, from recent purchasers or from customers who have consented to follow-up contact. The governance test is whether the invitation rule is consistent, explainable and directed at honest feedback rather than a pre-engineered outcome.
**Conditional incentives.** The CMA guidance distinguishes between incentives that are transparent and connected to a reviewer’s genuine experience, and arrangements that distort what is said (CMA, 2025 ↗). A reward for a five-star review is fundamentally different from a non-contingent thank-you for an honest review where the incentive is made apparent. Equally, resolving a complaint is legitimate; making redress conditional on the removal of genuine negative feedback risks converting complaint handling into reputation engineering.
**Uncontrolled reuse of aggregate scores.** A score copied into advertising can continue to influence decisions after its methodology, underlying review population or service relevance has changed. CMA guidance distinguishes between businesses that obtain or manage reviews and those displaying review information sourced elsewhere, while indicating that a business relying on third-party arrangements should have reasonable grounds for confidence in them (CMA, 2025 ↗). In operational terms, each significant score needs a named source, date checked, period or basis where available, refresh point and accountable owner.
**Moderation that becomes suppression.** Firms can appropriately challenge material that appears fabricated, abusive, duplicate or misattributed. The failure arises when the process targets genuine criticism because it is commercially inconvenient. The CMA envisages procedures for detecting, investigating and responding to concerns, and indicates that suspicious reviews should not improperly influence aggregate information while under investigation (CMA, 2025 ↗). A documented and consistently applied challenge route protects legitimate customers as well as the business.
A proportionate operating model: make public claims traceable
Sanctuary recommends a lightweight operating model based on traceability. Its purpose is neither to eliminate negative reviews nor to create a compliance archive detached from daily work. It is to allow a business to trace a public claim back to a legitimate review process and, where possible, to the customer experience that generated it.
**Map the review estate.** List every channel that requests, receives, republishes or advertises feedback: platform profiles, survey tools, website widgets, testimonials, email journeys, social content, printed material and agency-managed accounts. Assign a day-to-day owner and a senior person accountable for the overall system. This prevents the common gap between an agency publishing a claim and an owner assuming the platform has validated it.
**Set one invitation and incentive standard.** Staff should use approved wording that asks for honest feedback, not a specified rating. Keep a basic record of invitation triggers, customer cohorts and incentives. If an incentive is used, record its value, eligibility, disclosure and approval route, and state explicitly that it is not contingent on positive sentiment. This provides evidence of process while making it easier to identify inconsistent staff practice.
**Maintain a claims register.** For a testimonial, retain the original source, date, relevant service and final public wording. For an aggregate score, record the platform, calculation basis if available, date checked and review schedule. The register is not bureaucracy for its own sake: it allows a business to substantiate, update, pause or remove a claim when circumstances change.
**Build a challenge-and-correction route.** Staff and customers need a clear way to flag suspected fake, duplicate, misattributed or undisclosed-incentivised reviews. The process should identify who investigates, what evidence is retained, when related promotional material is paused and who can approve corrections. That approach is consistent with the CMA’s emphasis on investigation procedures and evaluating whether preventative measures are working (CMA, 2025 ↗).
**Use recurring feedback as operational evidence.** A sole trader may review patterns monthly; a multi-site business may need a more formal cadence. The important discipline is to assign owners and actions to recurring themes. This is where review governance becomes management capability: staff learn to document evidence, handle concerns, manage external suppliers and turn customer feedback into changes in service delivery.
No review system will produce perfect information. Feedback can be sparse, emotional and unrepresentative even without deception. That uncertainty is a reason for greater candour in public claims, not a reason to abandon them. The objective is a signal reliable enough to help customers choose and useful enough to help managers improve.
The trade-off is a less polished profile—and a more durable basis for trust
Broader invitations and candid feedback may reduce a headline rating in the short term. Adding context to testimonials can make marketing less sleek. The evidence does not show that transparent review governance will increase conversion or revenue for any particular SME, and businesses should resist presenting it as a guaranteed growth tactic.
The alternative, however, is not a choice between a perfect reputation and an imperfect one. It is a choice between a public signal that can be explained, corrected and improved, and one that depends on opaque selection, stale ratings or unsupported claims. A uniformly positive profile is fragile when customers cannot tell how reviews were gathered, whether incentives were involved or how genuine criticism is handled.
Review governance cannot compensate for poor value or inconsistent delivery. It can protect a route through which customers discover quality, support fairer competition for businesses that invest in delivery, and give owners a more useful record of customer experience. Under the UK’s current consumer-protection framework, that makes it a core management discipline for SMEs rather than an afterthought for the marketing team.
Research foundation
References
- UK Parliament (2024). Digital Markets, Competition and Consumers Act 2024. legislation.gov.uk, Schedule 20, paragraph 13.Source ↗
- Competition and Markets Authority (2026). Fake and misleading reviews: 5 businesses under CMA investigation. GOV.UK.Source ↗
- Competition and Markets Authority (2025). Fake reviews guidance. GOV.UK.Source ↗
- Imke Reimers and Joel Waldfogel (2021). Digitization and Pre-Purchase Information: The Causal and Welfare Impacts of Reviews and Crowd Ratings. American Economic Review, 111(6), 1944-1971.Source ↗DOI: 10.1257/aer.20200153
- Jesper Akesson; Robert W. Hahn; Robert D. Metcalfe; Manuel Monti-Nussbaum (2023). The Impact of Fake Reviews on Demand and Welfare. NBER Working Paper No. 31836.Source ↗DOI: 10.3386/w31836
- Competition and Markets Authority (2022). Evidence review of Online Choice Architecture and consumer and competition harm. GOV.UK.Source ↗
- Nick Nijhuis. Hero image: Customer journey with touchpoints English.png. Wikimedia Commons · CC BY-SA 4.0.Image source ↗
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