Case Study: SEOClerks achieves significant fraud reduction and 70% fewer order reviews with Sift

How SEOClerks created an excellent experience for trusted users while deterring fraudsters

SEOClerks is an online marketplace that connects buyers and sellers of SEO and other web services, with hundreds of thousands of registered users worldwide. The company struggled with fraud rings, money laundering, referral abuse, friendly fraud and repeat scammers who would re-register after being banned; their legacy IP‑based tool missed links between bad actors and they were facing a roughly 4% chargeback problem.

SEOClerks integrated Sift’s machine‑learning fraud platform and quickly began uncovering hidden connections between fraudulent accounts, using Sift Scores and custom Lists to approve, block, or restrict users. The result: a significant decline in fraud rate, automatic banning of repeat offenders, faster dispute of chargebacks, a rise in sales and trust on the platform, and a 70% reduction in orders requiring manual review.

SEOClerks

Jordan DeLozier

CEO