Whether you are catching fraudsters or personalizing web experiences, the accuracy of your device identifier may be holding your solution back.
With the help of a machine learning system and additional identification techniques built on top of our proven open source library, FingerprintJS Pro can detect a returning browser or device with 99.5% accuracy. How do we back up this bold accuracy claim, and why should it matter to anti-fraud, product and growth teams?
In this webinar, co-founder and Chief Technology Officer, Valentin Vasilyev and our Head of Product, Jack Spirou will sit down to discuss how we calculate identifier accuracy and stability, how FingerprintJS Pro and our open source library differ, and why maximizing these metrics is so important for business outcomes.
Submit your questions ahead of time for a chance for them to be answered live on the webinar. We’ll also give you a first look of what’s coming next for our product.