"Our partnership with Incognia allows us to get ahead of fraudsters and be proactive rather than reactive in our fraud prevention.
We’re not just reacting to the signals we receive, we’re finding ways to block fraud before it happens.”
84%
reduction in multi-account activity.
200%
increase in fake ride detection
The challenge
Like many gig economy platforms, Freenow was facing an uphill battle against increasingly sophisticated consumer and driver fraud that was eating into its margins. Key threats included:
Promotion abuse
Fraudsters were cycling through dozens of fake accounts to repeatedly claim new user discounts.
Unpaid rides
One device—using a mix of emulators, app cloners, and factory resets—evaded detection long enough to rack up over hundreds of euro in unpaid rides.
Fake Rides
With the help of Incognia, Freenow discovered that 0.1% of all rides were fake, meaning the driver and user accounts were tied to the same device.
Incognia’s solution
Incognia’s SDK-first solution combines highly persistent device identification, tampering detection, and advanced location intelligence to deliver a powerful real-time risk signal. These insights enable food delivery platforms to detect and stop fraud before it happens—all while ensuring a seamless experience for genuine consumers.
Freenow integrated Incognia’s device intelligence into their risk orchestrator, combining it with their own machine learning models to identify policy violators without disrupting the user experience.
Incognia delivered:
- A globally scalable fraud detection solution
- Trusted partnership with experience solving all major fraud types on multi-sided gig economy platforms
The results
84% reduction in multi-account activity
200% increase in fake ride detection
Freenow was impressed by Incognia’s approach to device integrity protection features. The team integrated Incognia’s solution in just two weeks, meeting a tight deadline to address critical fraud challenges. By combining Incognia’s device ID and integrity signals with its own machine learning models, Freenow enhanced fraud detection accuracy.
By identifying the top offenders driving promotion abuse, Freenow banned accounts responsible for voucher fraud. The company also saw an 84% reduction in illicit multi-account activity. On top of that, Incognia enabled Freenow to reduce driver-side fraud losses by detecting 200% more fake rides, restoring fairness and protecting customer experience by cutting waiting time.
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