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Analysis shows Amazon deleted 500K+ reviews, 71% of which were “incentivized”, since changing its guidelines last month

Amazon is making good on its promise to ban “incentivized” reviews from its website, according to a new analysis of over 32,000 products and around 65 million reviews.

TechCrunch Sarah Perez

Context & Ripple Effects

This is the enforcement follow-through to Amazon's October ban on incentivized reviews — the policy that barred reviews tied to free or discounted products while carving out an exception for its own Vine program. The new analysis of 32,000 products and roughly 65 million reviews is the first hard measurement of whether the ban was real or cosmetic.

The deletions also cap a longer arc: back in 2015 Amazon began weighting ratings toward newer, verified, and helpful reviews, signaling it already distrusted raw review counts. Today's numbers show the company moving from re-weighting signals to actively purging them.

First-order effects

  • Sellers whose launch playbooks depended on discounted-product review campaigns lose their primary velocity lever overnight — 71% of the half-million removed reviews were exactly that kind, so product pages built on them see ratings and ranking recalculate immediately.
  • Amazon's own Vine program emerges as the only sanctioned path to early reviews, concentrating early-stage social proof in a channel Amazon controls and prices.

Second-order effects

  • Brands that still need review volume are pushed off-platform, and the related coverage shows where they go: by 2018, paid-review networks organizing on Reddit, Slack, Discord, and Facebook were still flooding the site despite these efforts, meaning enforcement shifts the cat-and-mouse rather than ending it.
  • Competitor marketplaces can court the displaced sellers with looser review policies, making review-acquisition cost a new axis of competition for merchant loyalty.

Third-order effects

  • The pattern escalates rather than resolves: by 2020 an FT analysis led Amazon to delete 20,000 reviews from seven of its top ten UK contributors (the top-contributor purge), showing that once a platform polices incentives it must keep widening the net toward its most prolific users.
  • If the trajectory holds, marketplace trust consolidates around curated and verified signals — Vine-style programs, verified-purchase weighting — turning review integrity into infrastructure only the largest platforms can afford to operate.

The trend: Marketplace trust is shifting from open review volume toward platform-curated verification, with each enforcement round pushing fake-review activity further underground.