Case Study: Poshmark achieves 60–70% spam reduction and a secure, trusted community with Sift

How Poshmark reduced spam and created a secure online community

Poshmark, the largest fashion marketplace in the U.S. with about 75 million items from 5,000 brands and a community of over 4 million Seller Stylists, faced rising content abuse—phony listings, fraudulent buyers, and spam—that eroded trust and discouraged legitimate users. The company needed a frictionless fraud-fighting solution that protected customers without disrupting the buying and selling experience.

Poshmark implemented Sift’s Content Integrity product, training its machine-learning models on live data in about a week and using real-time decisioning and automated workflows to stop abuse. The result: a 60–70% reduction in spam, fewer chargebacks and manual reviews, and a more secure, low-friction environment that lets the team focus on growth and supporting their community.

Poshmark

Robbie Fritts

Director, Fraud and Payments