Fake and Transferred Consumer Reviews: How to Ensure Review Compliance on E-Commerce Sites?

Updated: 3 September 2026 · Category: Review and Reputation Compliance

Fake and Transferred Consumer Reviews: How to Ensure Review Compliance on E-Commerce Sites?

Unfairly withholding consumer reviews or manipulating their categories creates audit risk. In August 2026, the Advertising Board imposed a sanction for rejecting a review on generic grounds, treating this as an unfair commercial practice.

Contents

Short answer
Why does it matter?
What should companies do?
How should it be measured?
Sources
Frequently asked questions

Short Answer

The new consumer review criteria effective from 1 August 2026 directly affect how e-commerce sites import external reviews and display reviews by category. The Ministry of Trade stated that reviews from channels where the purchase process cannot be verified may not be published. Reviews shown separately under goods, services, delivery, seller or provider headings must all be openly and easily accessible in the same area.

Why Does It Matter?

Review compliance involves more than avoiding the purchase of fake five-star reviews. Transferring a review from another platform to an e-commerce site can break the verifiable link to the actual purchase experience it describes.

The new criterion specifically restricts publishing reviews from channels where purchases cannot be verified. Projects such as “automatically transfer our Google reviews to the product page” therefore require a compliance review before technical integration.

Selectively displaying product, delivery and seller reviews in different areas can also distort consumers’ perception of the overall experience. The Ministry requires open, easy access to all of them in the same area.

B10_REVIEW_COMPLIANCE_2026 jointly addresses review ingestion, verification, taxonomy and display completeness.

What should companies do? Review compliance checklist

Create a review source inventory. Separate on-site, marketplace, Google, social media and third-party widget sources.
Record purchase verification status. Identify channels where you can verify the review’s link to an actual purchase.
Pause and examine the imported review pipeline. Do not automatically publish reviews whose source cannot be verified.
Establish a review taxonomy. Store product, seller, delivery and service reviews under the correct headings.
Test display completeness. Do not highlight a positive category while leaving others invisible.
Keep moderation reason records. Make the reasons for non-publication or removal auditable.
Flag incentivised reviews. Ensure campaigns or rewards do not make the content misleading.
Audit widgets and vendors. Examine external review providers’ sources and verification methods.

Review migration projects are particularly risky during mergers, new-site launches or transfers of marketplace reviews to a company’s own e-commerce site. Technical feasibility does not automatically imply regulatory compliance.

Document how review scores are calculated. The formula combining product ratings with seller or delivery ratings must not mislead users.

Retain provenance fields during review ingestion. Each review can record its source platform, original review ID, purchase-verification status, creation date, import date and moderation history. Decide in advance how your site’s copy will be handled if the user later deletes or edits the original. Otherwise, an old review no longer present at its source may remain indefinitely on the brand’s site.

Review ordering also affects consumer perception. “Most helpful”, “newest” and algorithmic default sorting must not be manipulated to show only positive reviews. A review compliance audit should therefore test sources, filters, sorting, score calculation and moderation behaviour. Even technical A/B tests belong on the compliance checklist if they affect review visibility.

Shared IP addresses or devices, account age and repeated text patterns within a short period can signal fake-review risk. An automated fraud score alone must not conclusively determine that a review is fake. The signals behind moderation decisions, whether users can appeal or provide explanations, and consistent application must be auditable.

Define access permissions clearly in review governance. Marketing deleting reviews directly, agencies hiding content without moderation reasons, or customer service manually changing scores create control gaps. Moderation roles, action logs and second approval for critical changes strengthen review data integrity. The rules forming the displayed review set can then be explained retrospectively, without relying solely on the current screenshot during an investigation.

Proposed measurement model for B10

Control	KPI	Risk Signal
Source	Verified-source review rate	Unverifiable external review
Purchase	Purchase-linked review rate	No purchase link
Taxonomy	Correct category rate	Wrong review type
Display	Category visibility coverage	Selective display
Moderation	Reason-code coverage	Unexplained removal
Migration	Imported review risk count	Suspicious transferred review

The review compliance score measures transparency of sources, verification and display, rather than whether reviews are positive or negative.

Expert Assessment

The new regulation makes “where did it come from?” more important in the review economy. Brands should be able to explain which verified experiences form the star rating on their own site.

This is also a data quality issue. Strong source and purchase links improve the reliability of fake-review detection, product quality analysis and customer experience insights.

Digital Risk and Compliance Analysis

Under B10_REVIEW_COMPLIANCE_2026, B10 can examine review sources, purchase verification, moderation, category display and imported-review risks in one audit matrix.