Data-Driven Chargeback Representment

Publisher: Chargeback Gurus

Access this content

Your content has been opened.

Please verify you are a human before downloading this content.

Data-Driven Chargeback Representment has been emailed to . Entered the wrong email?

Don't see the content in your inbox?
Make sure to check your spam and other messages folders.

Can't get to your email right now?

To complete your registration and access this content, enter the sign-in code sent to your email.

Please enter a valid verification code.

Code sent to:

Also, remember to check in your spam, promotions, and other folders.


Register to access this content


By accessing content on the AFP Treasury and Finance Marketplace you agree to our Terms of Service and Privacy Policy; and, you acknowledge that your information may be shared with the content publisher.

Data-Driven Chargeback Representment

Fighting chargebacks is always a challenge, but that challenge can become insurmountable when you attempt to tackle it without good data to back you up. In order to recover revenue effectively, you need to analyze your chargebacks to uncover insights that help you win more disputes and waste less time fighting losing battles. This guide includes statistics on the ever-changing landscape of fraud and chargebacks and tips on how to analyze your chargeback data. With the information gained through chargeback analytics, you can not only recover more revenue, but also identify the problems causing those chargebacks in the first place.