Case Study: KSL achieves 5x faster manual review and 80% reduction in fraud-management time with Sift

A Sift Case Study

Preview of the KSL Case Study

How KSL improved manual review efficiency while reducing content fraud

KSL Marketplace, part of Deseret Management’s digital arm, is Utah’s leading local classifieds site with over 235 million page views per month. Rapid growth made it a target for fraud—some categories saw 75–80% fraudulent activity—yet the team had just one analyst and a previous vendor that was slow, inaccurate, and required more headcount to fix the problem.

KSL integrated Sift in under six weeks, trained a custom model, and began using Sift Scores, auto-actions, and network visualization to ban repeat offenders and surface fraud rings. The result: manual review became 5× more efficient, hours spent on fraud fell by about 80%, site-wide fraud dropped 33–54% depending on the site, and the team now processes hundreds more legitimate orders per day without adding staff.


Open case study document...

KSL

Eric Bright

Vice President of E-Commerce


Sift

62 Case Studies