arrow left facebook twitter linkedin medium menu play circle

5 Tips for Keeping Your Marketplace Safe

About the Webinar:

From buying and selling on online marketplaces to using social features like reviews, likes, and Q&A on e-commerce sites, the popularity of online activity is increasing among consumers. Leading online payments provider Stripe estimates online marketplaces to grow 300% this year alone in a recent survey.

More online activity this holiday season also means more fraudsters will target your marketplace or e-commerce sites. How are you protecting your customers from fake listings, spam and phony reviews?

In this 30-minute webinar, Swetha Basavaraj, Senior Product Manager at DataVisor, will share actionable tips for keeping bad actors out and restoring trust in your platform.

In This Webinar You Will Learn:

  • Common techniques used by fraudsters
  • Trending fraud patterns and how to combat them
  • How a leading social platform uses DataVisor to catch 99% of spammers 7x faster

Download Recording

Popular Posts

Intelligent solutions. Informed decisions. Unrivaled results.

DataVisor Digital Fraud Trends Report: Q1 2020

Learn More

Download the new “State of Sophistication in Fraud” report from DataVisor to ensure your business is equipped to…

Download the new “State of Sophistication in Fraud” report from DataVisor to ensure your business is equipped to prevent high sophistication threat attacks.

A Guide to Centralizing Data Intelligence

Learn More

Discover AI-powered fraud strategies for preventing financial and reputational damage in this powerful e-book.

Online marketplaces withstand a complicated array of fraud attacks—spam, scam, and all points in between. Only the most comprehensive, proactive AI-powered solutions can fully protect against reputational and financial damage. This e-book details the entire lifecycle of a fraud attack, and lays out…

A Practical Guide to Eliminating False Positives in Fraud Management

Learn More

This e-book explores the next generation of fraud prevention technology, which applies unsupervised machine learning to reduce false positives and risk.

This e-book explores the next generation of fraud prevention technology, which applies unsupervised machine learning to reduce false positives and risk.


Protect your business, your customers, and your data.

Request Demo