Learn how customers are using the TruFactor Intelligence-as-a-Service platform.
Custom geofencing and POI mapping accurately identify your consumers’ aggregate and anonymized physical behavior. Based on this “always on” dataset, TruFactor builds integrated physical and digital journey maps of your customers to determine their highest-density areas.
Use journey maps to understand commuting paths, shopping patterns and on-device activity to build intersection points between you and your customers. Find new ways to connect with consumers and create stronger, more actionable relationships.
Businesses have historically lacked consumer-sourced location traffic, relying instead on census or DOT data to understand physical patterns within a market.
TruFactor processes data from over 200 million connected devices - including psychographics and behaviors, what types of app and web properties they frequent, and what affinity brands appeal most to them. Build robust market profiles based on actual consumer patterns, demographics and behavior.
Extrapolated surveys and physical observation are time and resource intensive approaches for traffic data. TruFactor analyzes millions of commuters and trilaterated carrier data to deliver:
• Catchment areas (home, work) to understand individuals frequenting identified points of interest
• Origin & destination information to assess impact of traffic (route flow, construction, new roadways) related to POIs
• Insights (demographics, psychographics, behaviors) into individuals who frequent POIs or utilize key routes and intersections.
• Up-to-the-moment traffic patterns and density by location and mobility type (footfall, car, rideshare)
The resulting consumer intelligence is more accurate and more granular (can be filtered by daypart, region or length of travel).
Comparing site and location options - whether it’s a retail outlet or new office - requires the right data. Traffic counts, co-tenancy egress and access are all critical attributes in the decision-making process. TruFactor’s Geo Similarity Index analyzes the population profile relative to a property by key attributes such as demographics, education, employment type, presence of children or path of travel.
Location Affinity data can help predict the success of high-performing multi-unit locations. The data can be applied to identify the highest matching areas (by demographics, behavior and psychographics) within an identified market.
For commercial real estate, Location Affinity data can show locations visited by tenants over a specified period of time to guides potential services (food, maintenance, repair, etc.) for a building or underserved areas.