Molson Hart

Care to respond to this @FakespotTweets?https://twitter.com/Molson_Hart/status/1200080435998609408 …

Absolutely. Molson, we know you are one of the authorities for selling on Amazon. We often point the press to your medium post often for one of the best explanations of how selling on Amazon works and how Amazon came to monopolize eCommerce.

However, we are not a scam. Instead, we are a group of data scientists and engineers who got tired of getting ripped off on Amazon and built the best review fraud and counterfeit detection planform that is free for consumers.

Unlike ReviewMeta that uses basic statistical analysis on limited data fed to them from Amazon’s APIs (see ReviewMeta’s Reddit AMA), we extract all of our data from various public sources across the web to catch fraudulent eCommerce activity as soon as it happens.

We analyze eCommerce products and services using AI algos that have been trained on over 5 billion reviews/reviewer profiles and fake review intelligence gathered from monitoring fake review services.

Fakespot’s engines can also be applied to any eCommerce site, which is why we can analyze eCommerce activity on Amazon, BestBuy, Walmart, and Sephora and our competition cannot.

As you have done, Amazon also claims that we do not have the data necessary to flag fake reviews. However, nothing could be further from the truth. We not only have more data than Amazon on who fake reviewers are, but we spot fake reviews and fraudulent activity faster than them.

This is why Amazon’s own fake review team uses Fakespot daily to check their own system’s accuracy. Amazon also sends its customers to us when they can’t find third-party sellers who ripped them off with shoddy and counterfeit products.