Case Study: Skillshare achieves automated fraud prevention and saves 8–10 hours/week with Sift

How Skillshare keeps its platform free of spam and fraud

Skillshare, an online learning community with over eight million students, faced growing abuse from colluding teachers and fake student accounts (often created with stolen cards) that inflated teacher payouts, plus SEO spam that routed users to risky off‑platform sites. Their mostly SQL‑based, reactive fraud checks meant these schemes were often discovered only after damage was done, and manual review consumed significant time.

By deploying Sift’s Content Integrity—using automated Workflows, the Network view to uncover linked accounts, and Lists to monitor “sleeper” accounts—Skillshare automated blocking and removal of risky users and spam pages at signup. The result: thousands of dollars in annual fraud losses prevented, 8–10 hours per week of manual review eliminated, and scalable fraud protection that lets a single Trust & Safety manager keep up without additional hires.

Skillshare

Susannah Page-Katz

Trust and Safety Manager