Free trial abuse is a significant issue for companies offering free trials as it allows individuals or botnets to exploit services without intent to pay, impacting revenue and distorting analytics. This abuse inflates customer acquisition costs (CAC) as resources are wasted on fraudulent users, and it skews data that informs business decisions, leading to misallocated budgets and skewed product priorities. Additionally, it elevates fraud risk since bad actors may use fake accounts for malicious activities like data scraping or account takeovers. Indicators of free trial abuse include suspicious sign-up details, repeated sign-ups from the same IP, and bot-like activity. While traditional prevention methods can deter legitimate users, device intelligence offers a frictionless alternative by monitoring device signals to identify repeat abusers. Detecting abuse at the onboarding stage is crucial to preserving resources and maintaining accurate analytics, with solutions like Fingerprint providing tools to effectively mitigate these challenges without hindering genuine users.