Ensure your users pay their fair share with FingerprintJS Account Sharing Prevention
Subscription sharing costs businesses over 9.1 billion a year. It is impossible to measure the cost to your business without accurate detection.
Assess the extent of account sharing for your website by booking a call with our sales team. We will work with your team to set up a trial of FingerprintJS Account Sharing Prevention and help to estimate the impact on your business.
Our client was struggling to prevent account sharing despite having a dedicated anti-fraud teamRead the case study
Whether you are looking to integrate visitor identification with your existing system or want a complete end-to-end solution, FingerprintJS has an option for your business.
Build your own system with our visitor identification API
Generates a 99.5% accurate visitorID for each unique device that visits your website. VisitorIDs will need to be mapped to your logins and stored so you can identify shared accounts
Collect geolocation, browser and device details, and incognito mode detection for every visitor. Access everything through our API or webhooks
An all-in-one solution for account sharing prevention
Fully identify shared accounts and assess the extent of sharing within your customer base by mapping our 99.5% accurate visitorIDs to your logins
Flag accounts that are highly likely to be shared. Set up custom logic that makes sense for your business and be notified when rules are triggered
Catch account sharers where other tracking methods fail.
Mobile devices, infrequent logins, and privacy browsing make detecting account sharing difficult. An account can be misidentified as having multiple owners if their browsing behavior changes over time. Conversely, visitors can appear the same if not enough unique information is collected.
FingerprintJS overcomes these technical challenges by using state-of-the-art browser identification and machine learning techniques.
FingerprintJS uses browser fingerprinting, cookies, and other technologies including server-side detection techniques. By combining many identification methods, FingerprintJS can reach a higher level of accuracy than any other solution.
FingerprintJS uses fuzzy matching and other deduplication techniques. FingerprintJS Pro associates new browsing history with the correct visitorID even if some details about the visitor have changed.
Chrome on MacOS
Chrome on MacOS
FingerprintJS Pro collects additional information to better understand your visitors. Use our geolocation and device data to build more targeted rules to catch account sharing.
Developer teams can easily incorporate FingerprintJS into existing workflows or build from scratch with our highly accessible documentation and support.
Receive instant notifications delivered securely to your backend systems, ideal for building scalable and asynchronous processes.
Extensive guides make it easy for developer teams to get up to speed with FingerprintJS, fast.
Get in touch via chat and email and get technical help within 1 business day.