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Fifteen Policy-Breaking Reviews, Four Months, Two Continents

A logistics-technology company hiring across North America and India watched its recruitment pipeline dry up as policy-breaking reviews stacked on Glassdoor and AmbitionBox. Over four monthly cycles we removed fifteen of them through platform policy processes, ten from Glassdoor and five from AmbitionBox, at a steady cadence of three to seven takedowns a month, each documented with before-and-after proof in the monthly report. Client identity confidential, as with every case study we publish.

Fifteen employer reviews removed in four months for a logistics technology company
15employer reviews removed in 4 months2platformssteady monthly reporting
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Why Cadence Beats a One-Time Purge

Review platforms process reports one at a time, on their own schedule, and mass-flagging a profile backfires. The removals here landed month after month, two or three in one report, seven in another, because each review was individually assessed against platform policy and reported with its own evidence. Four months in, the profiles candidates saw in both hiring markets told a current story instead of an old grudge.

The engagement at a glance

10
Glassdoor reviews removed
5
AmbitionBox reviews removed
4
Monthly cycles
2
Hiring markets protected

What Did We Do?

Four monthly cycles, two hiring markets, one process repeated without shortcuts: audit, report with evidence, follow up, prove it in the report.

  1. 1

    Audited both profiles against platform policy

    We read every review on the company's Glassdoor and AmbitionBox profiles and mapped each suspect one to the specific guideline it broke, from naming individual managers to retaliatory posts after disputed exits and content copied across accounts. Reviews that were negative but policy-compliant were marked as not removable and the client was told so before any work began.

  2. 2

    Reported each violation as its own case

    Each removable review was filed separately through the platform's official reporting channel, quoting the guideline and attaching evidence of the breach. Mass-flagging a profile gets it ignored, so the queue was worked a few reviews at a time, which is why removals landed as three to seven a month rather than all at once.

  3. 3

    Followed up and captured proof

    Every report was tracked until the platform answered, re-filed with more context where a first decision went against us, and each removal was captured as a before-and-after screenshot. Ten came down on Glassdoor and five on AmbitionBox over the four cycles.

  4. 4

    Delivered a monthly report

    At the end of each cycle the client received a report listing every tracked review, its status, the removals landed that month with proof, and what remained in the queue, so the recruiting team in both North America and India could see the profile changing report by report.

Questions About This Case Study

Why is the client not named?
Because naming the company next to the words "policy-breaking Glassdoor reviews" would recreate the search association it hired us to break. The counts come from the actual monthly reports, but the company, its hiring locations, reviewer details and quotable fragments are withheld. Every client we publish about gets the same confidentiality.
Can Glassdoor or AmbitionBox reviews really be removed?
Only when they break the platform's own content guidelines, and that is the honest limit. The fifteen reviews removed here named individuals, carried retaliatory content from disputed exits, or were duplicated across accounts, so each was reported with evidence and taken down by the platform itself. A genuine, policy-compliant negative review cannot be removed by us or by anyone else, and the audit tells you which of yours fall on which side before you commit.
How long did it take?
Four monthly cycles. Removals landed in every report, between three and seven a month, until fifteen were gone: ten from Glassdoor and five from AmbitionBox. The cadence is deliberate; platforms process reports one at a time, and a steady, well-evidenced stream is what keeps the removals sticking.
The takeaway: removals are a process, not an eventKey insight

Every removal here was a separate case built on a specific policy violation, filed properly and proven with before-and-after screenshots. That is slower than the miracle purge nobody can actually deliver, and it is why the removals stuck.

Clean your employer profiles the way that lasts

A private review-by-review audit with honest removal odds, and a monthly cadence that keeps landing them.