We use Fingerprint to catch multi-accounting and linked accounts on our platform, which is a constant issue in online gaming/crypto environments where users try to create duplicate accounts to abuse bonuses or get around bans. It’s been solid for a few months now. The visitor IDs have been stable enough that we can reliably tie new signups back to previously flagged devices, even when someone changes IPs or clears cookies. Integration was straightforward, and it’s made our fraud review process much less manual since we’re no longer relying purely on IP or email matching.

What I like most about Fingerprint is how accurately it identifies returning users and devices, even when cookies are cleared or users switch browsers. The implementation was straightforward thanks to the well-documented SDKs and APIs, and the response times have been consistently fast. It has significantly reduced duplicate accounts, fraud attempts, and manual verification work. The dashboard is easy to navigate, and the detailed device intelligence helps us make better risk decisions without impacting the user experience.

I use Fingerprint to detect high risk and bot suspicious users. It makes it really simple to get all the data I need related to a user and their profile and device. It simplifies the integration complexity and adds a ton of value with its unique fingerprint feature for detecting high risk activities. The SDK was really easy to integrate into React Native and works great for iOS and Android. It provides a significant amount of rich data about the user and their device, and I'm able to use the data and signals it generates to integrate into workflows to detect high risk activity and mitigate risk. I continue to use Fingerprint because it offers rich high signal data when I need it. The initial setup was really easy, and I was able to integrate it within two days.