| Account | People |
|---|---|
| bking@yahoo.com | +58 |
| gsanchez@hotmail.com | +15 |
| fmiller@outlook.con | +13 |
| hwilliams@gmail.com | +8 |
| ujones@icloud.com | +8 |
| pmiller@icloud.com | +8 |

"Without Rupt, it was impossible to detect account sharers with factual data. Once we added Rupt, we realized we were missing $1M+ ARR and decided to dig into it."
Alexis Dupont
Product Principal, Agorapulse

"What we thought would be a real friction point with our existing customers, we saw them go, 'oh my God, why haven't you done this sooner?' They saw it as a feature, not friction."
Adam Siegel
VP of Product Growth, Crexi

"We saw about 4% of account sharers convert immediately after implementing Rupt, which was fantastic."
Danielle Dyess
Principal Product Manager, Sketchy

"Our first line of defense was to start paying attention to user signals on our own. However, we quickly realized that it was more than a full-time job to accurately identify account sharers."
Andy Romano
Founder, Prep101

"Growth rate doubled after implementing Rupt's repeat sign up detection. This improved the platform's stability and availability and reduced our OpenAI credits usage."
Mohamed Abdelmaksoud
Founding Full Stack Developer, StealthWriter

"Rupt was a plug-and-play win for us. It handled a massive amount of complexity out of the box, started protecting our bottom line almost immediately, and the team has been genuinely responsive every step of the way."
Nelson Joyce
Co-founder, Tettra
Account sharing costs subscription businesses 5-25% of potential revenue. Rupt helps you recapture this value.
Industry studies show that 30-49% of users share their account credentials. This represents a significant amount of lost revenue that could be converted to paid subscriptions.
Account sharing increases the risk of credential theft and unauthorized access. Preventing password sharing improves overall security and reduces support costs.
When multiple users share a single account, analytics and usage data become inaccurate. This affects product development decisions and user experience optimization.
Rupt goes beyond simply detecting account sharing. Our comprehensive solution helps you identify, prevent, and monetize password sharing across web, iOS, and Android. With industry-leading 99% accuracy, you can convert unauthorized users into paying customers while maintaining exceptional user experience.
Choose from a variety of automated or manual challenges to fit your business model and user sensitivity. Our approach focuses on revenue growth, not just prevention.
Identify shared accounts using advanced device fingerprinting and behavioral signal analysis with up to 99% accuracy.
Implement automated challenges or manual interventions to stop unauthorized sharing and convert users to paying customers.
Convert shared accounts into new subscriptions, increasing your revenue by 5-15% within 90 days.
Track conversions and monitor account usage patterns with real-time dashboards to optimize your prevention strategy.
Our proprietary device identification technology delivers industry-leading accuracy with fewer false positives than traditional fingerprinting methods. This means more confident prevention with better user experience.
Our advanced device identification technology creates unique persistent identifiers for each physical device accessing your platform, enabling accurate identification even when cookies are cleared or VPNs are used.
We analyze usage patterns, login times, geographic locations, and other behavioral signals to identify when multiple people are using the same account across different devices.
Deploy tailored responses to account sharing, from gentle notifications to device limits or conversion offers. Our modular challenges enable you to choose the approach that best fits your business model.
Track the effectiveness of your account sharing prevention with real-time dashboards. Measure conversion rates, revenue impact, and user behavior to optimize your strategy over time.
Rupt's device identification technology provides significant advantages over traditional fingerprinting approaches, resulting in more accurate account sharing detection with fewer false positives
| Feature | Traditional Fingerprinting | Rupt's Device Identification |
|---|---|---|
| Accuracy | 75-85% with frequent false positives | Up to 99% with minimal false positives |
| Persistence | Degrades over time as browser features change | Maintains accuracy over time with stable device identifiers |
| User Experience | Often blocks legitimate users due to false positives | Better user experience with few/no mistaken challenges |
| Cross-Platform | Less effective on mobile platforms | Consistent performance across web, iOS, and Android |
| Circumvention Resistance | Easily defeated with browser settings or plugins | Resistant to common circumvention techniques |
Developers
Rupt is easy to integrate and use. Simple, well-documented APIs, SDKs, and MCPs. Built for the way modern developers work.
Proprietary browser and device fingerprints, returned on every call.
Billions of requests a year, 150M+ a month, resilient even under high traffic with 99.99% uptime.
100ms p99 latency. Fingerprinting, geolocation, verdicts, and more in one fast, modern API.
Build custom rules, risks, challenges, trust scores, and more and deploy in real-time.
Our customers typically see a 5-15% revenue increase within 90 days. Account sharing prevention alone can recover millions in ARR for enterprise businesses. Use our ROI calculator to estimate your potential revenue recovery and growth opportunity.
Immediate conversion rate from account sharers at Sketchy
Additional ARR discovered at Agorapulse from account sharing
Growth rate after implementing account sharing prevention at StealthWriter
Choose how you want to work with us. Try Rupt now or contact sales to get started.