Loading...
Know when participants are active, what they're doing, and how often
Access live activity data from integrated platforms to understand exactly when and how participants engage. Our real-time signals provide unprecedented visibility into actual behavior, enabling precise risk assessment and dynamic pricing that traditional underwriting simply cannot match.
How activity signals transforms underwriting for carriers.
Know exactly when coverage is needed with real-time check-ins and activity triggers from integrated platforms.
Automatically classify activity types (yoga vs CrossFit, 5K vs marathon) for accurate risk profiling.
Distinguish between regular participants and occasional users to price risk appropriately.
Precise exposure windows based on actual activity duration, not estimated time blocks.
The specific data we collect to power activity signals.
Exact time of arrival, activity start, and departure from facilities or events
Type of workout, class, race, treatment, or adventure activity being performed
Time spent actively engaged in the covered activity with start/end precision
Workout intensity levels, race pace data, difficulty ratings for adventures
Weekly/monthly activity frequency, consistency scores, attendance patterns
GPS confirmation of activity location matching covered venues or routes
Real-world applications across our coverage verticals.
Example: Mindbody check-in triggers coverage; class type determines risk tier; duration caps exposure
Example: Bib activation at start line, GPS tracking throughout race, finish line deactivation
Example: Equipment rental checkout triggers coverage; guide assignment verified; return ends coverage
Example: Appointment check-in starts coverage; treatment type logged; checkout ends coverage
Side-by-side comparison for activity signals.
| Feature | Traditional | Event-Triggered |
|---|---|---|
| Activity Verification | Self-reported or assumed | Platform-verified in real-time |
| Data Freshness | Annual renewal questionnaire | Instant, per-activity |
| Risk Assessment Accuracy | ~40% based on assumptions | 94% based on actual behavior |
| Fraud Detection | Post-claim investigation | Pre-claim verification |
| Pricing Precision | Broad risk categories | Individual activity pricing |
See how real-time activity signals can transform your underwriting process. Schedule a personalized demo with our carrier partnerships team.