20 years of daily weather observations and anonymized vehicle movement, mapped to 10 million locations across the U.S. Understand how temperature, precipitation, and roadway traffic move your business and quantify it at the store level.
Weather and vehicle layers explain swings in foot traffic and spend that raw counts can't.
Mapped to 10 million locations with 20+ years of daily history, ready for modeling at any scale.
Vehicle movement extends pedestrian traffic to logistics, big-box, and trade areas.
Delivered as a context layer on existing deployments - no separate build.
Historical and daily weather observations mapped to points of interest, so you can normalize traffic and spend for temperature, precipitation, and severe-weather events.
Delivered daily with multi-year history for clean seasonal baselines and backtests.
Anonymized vehicle and roadway movement signals that extend pedestrian foot-traffic to drive-to retail, logistics, and trade-area analysis.
Most useful for big-box, distribution, and out-of-town formats where parking-lot and roadway volume lead the story.
Both layers share Advan's POI taxonomy and point-in-time delivery, so they slot directly into existing FiT and Patterns+ workflows.
Strip out temperature and precipitation effects to see the true demand shift underneath.
Layer vehicle and logistics signals onto store-level foot traffic for drive-to formats.
Every observation maps to the same points of interest behind your core Advan data.
The same points of interest as FiT and Patterns+, so layers line up instantly.
Daily granularity going back 20 years across the U.S. , enough to build seasonal baselines and reconstruct context for any period.
Available on request to enrich existing deployments, never a separate buy.
Share your details and we'll connect you with an Advan specialist to explore how weather observations and vehicle movement can be mapped to your locations and business questions.
