Are you looking to stop refund abuse and protect revenue? Watch this webinar on demand for first-hand advice from industry leading digital travel ticketers, Trainline.
Head of Fraud and Payments at Trainline, Nick Aiken, discusses how Trainline cut refund abuse by 40% in a year. Could you achieve similar results in your business?
Data Scientist, Tom Linney, explains how to identify refund abusers in your customer data and stop them. You’ll take away the tools and confidence to build the right strategy for your business.
- What was Trainline’s refund abuse journey and how can you replicate their success?
- How to set thresholds and determine the scale of your refund abuse
- How graph networks can help you spot refund abusers in your data
- Advice on how to protect revenue and keep genuine customers with Q&A