Case studies

What review removal actually did for real brands

Real numbers from real clients. We keep the brands anonymous because we take client confidentiality seriously, but every figure here is from actual engagements.

These are our clients’ numbers, not projections. Results vary by category and by how many of your negative reviews actually violate Amazon’s guidelines. On average 5 to 10% qualify, up to 15 to 20% in some categories.

578negative reviews removed

A supplements brand doing seven figures a year on Amazon

The situation

Supplements is one of the roughest review environments on Amazon. This brand had built real volume across its catalog, but years of accumulated one, two and three-star reviews were dragging listings down: off-topic complaints, reviews about shipping instead of the product, and content that plainly violated Amazon’s Community Guidelines. Nobody had ever gone through them systematically.

What we did

We scanned every written negative review across the catalog and classified each one against Amazon’s guidelines. The ones that genuinely violated policy went into removal cases, and each case got escalated through Amazon’s channels until it was actually resolved, not just acknowledged. This ran as an ongoing engagement, with new reviews assessed as they came in.

The result

578 negative reviews removed over the course of the engagement, with steady removals month after month rather than a one-time purge.

What it meant for revenue

Every removed negative review does two jobs: it lifts the average rating buyers see, and it takes a conversion-killing headline out of the review section customers actually read. Across a seven-figure catalog, that compounds into stronger conversion on traffic the brand was already paying for. In the client’s own words: “a real lift in our listings’ performance.”

578reviews removed
8 monthsinto the engagement when they said “excellent”
$0paid for reviews that stayed up
161negative reviews removed

A multi-brand seller in food and beverage and electronics

The situation

This client operates multiple brands, and every brand they take on arrives with its own backlog of review problems. They needed review hygiene to be a repeatable part of onboarding, not a one-off rescue project, and they did not want to pay retainers on brands where nothing qualified.

What we did

We made review triage part of their standard playbook: each new brand’s negative written reviews get scanned, classified against Amazon’s guidelines, and the genuine violations get filed and escalated. Pay-for-performance pricing meant brands with clean review sections cost them nothing.

The result

161 negative reviews removed across the portfolio, with the process now running on every brand they onboard.

What it meant for revenue

For a multi-brand operator, the win is portfolio-wide: cleaner review sections lift conversion on every listing, and ad spend stops paying for traffic that bounces off unfair one-star headlines. Their verdict: “Not a luxury, a necessity.”

161reviews removed
Every brandthey onboard now goes through review triage
$0in retainers or monthly fees
4.2 → 4.4stars, and what two tenths meant

A brand stuck under Amazon’s rating cliff

The situation

This brand was sitting at a 4.2-star average. That sounds fine until you understand how Amazon works: star ratings display in half-star increments and feed the algorithm in small thresholds, so the difference between 4.2 and 4.4 is not cosmetic. It changes how the listing looks in search results and how Amazon ranks it. The brand had slipped from 4.3 to 4.2 and sales followed it down.

What we did

The heart of the engagement was removing the negative reviews that were either unrelated to the product or violated Amazon’s policies. The brand paired that with work on its own side: fixing the product issues its most common legitimate complaints pointed at, optimizing listings, and putting a proper review strategy in place. Removal cleans up the unfair damage; the brand fixed the fair damage. Both matter.

The result

The star rating climbed from 4.2 to 4.4, past the threshold that had been suppressing the listing.

What it meant for revenue

The two-tenths shift produced a noticeable increase in both visibility and conversions. More impressions from the algorithm, and more of those impressions turning into buyers because the star display customers see got better. Small number, big lever.

4.2 → 4.4star rating
Visibility + conversionboth moved with the rating

Want to know what your reviews look like?

We will tell you honestly how much of your negative review section qualifies for removal. You only ever pay for reviews that actually come down: $250 each, no retainers.