Foot Traffic Data for Insurance
Insurance providers across the globe use Unacast to translate real-world behavior into data-driven risk assessments.
Get StartedInsurance providers across the globe use Unacast to translate real-world behavior into data-driven risk assessments.
Get StartedTake the guesswork out of assessing risk and pricing policies.
High foot traffic places have higher risk. Your pricing should reflect that.
Assess the impact of hybrid work schedules on risk, and deliver enhanced quotes using objective, validated foot traffic data.
Effectively assess businesses’ loss of income claims associated with lockdowns, emergencies or evacuations.
Leverage foot traffic data to understand the potential impact of natural disasters on local communities.
Join 100s of organizations leveraging Unacast data for strategic decision making.
Traditional methods of underwriting business owners’ policies (BOP) based on revenue, claim history, or occupancy standards lack the solid proof insurers need to provide accurate quotes. With objective foot traffic data, you can properly identify, evaluate, and write/bind commercial risks with confidence.
Leverage foot traffic data to confidently insure your clients’ commercial properties against damage to physical, on-premise assets. Claims could include theft, weather-related issues, or structural, maintenance-level damages.
Deliver comprehensive client quotes with supplemental foot traffic data, leveraging mobility insights to understand the potential impact of a revenue loss. These losses could be triggered by unexpected events that drive consumers away from your clients’ sites.
Position foot traffic data alongside existing datasets to evaluate the risk of on-premise injuries. General liability claims could include slip and fall accidents, property damage, or customer injuries
Build accurate risk assessments by understanding employee behavioral patterns. In a hybrid work era, coverage for office, factory and in-field workers is ever evolving with one constant– human mobility data.
Use objective foot traffic data to illustrate the potential impact of damages on surrounding areas, triggering a loss in revenue.
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Try out one of our data sets