What a case looks like from start to finish
These are illustrative examples built from the patterns we see repeatedly. They are not verified client case studies, and we do not publish client names or profiles without written permission.
Local dental clinic
Four reviews removed
A former employee and a competitor posted one-star reviews within the same fortnight, neither with any patient record. The clinic's practice management system confirmed no matching appointments; both accounts had reviewed several competing clinics in the same city.
Conflict of interest · fake engagement
Independent moving company
Three reviews removed
Identical text appeared across four unrelated local businesses inside a week. The pattern — not the wording of any single review — carried the case.
Fake engagement
Boutique hotel
Two reviews removed, one withdrawn
A guest demanded a free night in writing and posted a one-star review when refused. The preserved correspondence resolved the dispute; a second review described a property in another city entirely.
Review blackmail · wrong property
Multi-site dental group
Nine reviews removed
Head office had no view of branch-level attacks. The assessment found misattributed reviews sitting on the wrong branch and two accounts hitting three sites each.
Misattribution · coordinated posting
E-commerce seller
Six pieces of feedback struck
Delivery complaints on orders fulfilled by the marketplace itself, which the platform's own policy excludes from seller feedback.
Platform-fulfilled delivery
Law firm
One response published
An opposing party and a declined enquiry had both posted. Conflict checks showed no client relationship in either matter. A third review, from a genuine former client, stayed — and got a careful reply instead.
Non-client reviews
Three things every successful case had
A named policy ground
Not “unfair” — a specific clause from the platform's published rules, quoted in the submission.
Records from the business
Booking systems, invoices, employment dates, conflict checks. The platform cannot see these; you can.
Follow-up
First decisions are frequently automated. The cases that succeed are the ones somebody chased.
Find out which of these your situation resembles
The free assessment tells you, per review, which ground applies and how strong the case is.
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