OOH & GEOMARKETING
Rank every billboard face by actual traffic, not assumptions.
TomTom MOVE replaces static estimates with real vehicle flow data — corridor volumes, daypart patterns, and origin-destination insights for smarter OOH planning.
SOUND FAMILIAR?
Road authority counts don't capture audience behavior.
Generic car counts say nothing about direction, daypart peaks, or where those drivers came from — leaving rate cards exposed when data-savvy advertisers ask for proof.
Catchment models don't reflect real-world traffic.
Isochrones ignore congestion and road hierarchy. The ‘drive-time’ zones they generate often overestimate reach or miss actual visitor flows entirely.
Audience insights disconnected from actual movement.
Most OOH operators have rich audience profiles — but limited visibility into how those audiences actually move. Without O/D patterns, matching audience profiles to real traffic flows at each location is hard to do at scale.
TOMTOM MOVE PRODUCTS
Three products. Real mobility data for every face.
O/D Analysis
Where your audience comes from and goes
Origin-destination movement patterns per location. See where drivers actually travel from, model catchment overlap between sites, and match audience profiles to real flow data.
Audience-connected planning based on actual movement, not static demographics.
Traffic Density
Vehicle counts by corridor, direction, and time
Real vehicle volumes passing each billboard face — broken down by direction and daypart. Rank faces by actual impressions, optimize pricing tiers, and identify true peak windows.
Data-backed rate cards and daypart intelligence per face.
Traffic Stats
Historical speed and flow intelligence
Continuous historical data back to 2008 for seasonal analysis, trend identification, and before/after campaign measurement. Compare weekday vs. weekend, summer vs. winter across your entire network.
Seasonal differentiation and long-term trend analysis for smarter planning.
CASE STUDY
Interbest — O/D Analysis for OOH
Interbest transformed from simple media inventory into a precision advertising platform by layering TomTom O/D data onto their billboard network — enabling audience profiling per location with origin-destination patterns and daypart flows.
Per-face
24/7
Privacy-safe
Audience profiling
Daypart intelligence
Fully GDPR compliant
Read the full case study
Get the full case study to discover how Interbest uses TomTom O/D analysis to transform billboard locations into data-driven audience insights.
Learn how origin-destination patterns and daypart analysis support smarter OOH targeting and campaign planning. Fill in your details below to access the PDF instantly.
Differentiate your inventory with real mobility data.
See how O/D and corridor flow data works on your actual locations. Start with a pilot and scale across your network.
FREQUENTLY ASKED QUESTIONS
How is this different from the geo/footfall data we already use?
Most OOH operators use pedestrian panels or device-derived audience data. TomTom provides aggregated vehicle corridor flows and O/D movement patterns — a different layer that covers what panel data doesn’t.
Is this data privacy-safe for our clients?
Yes. Fully aggregated, no individual tracking, no device IDs, no personal data, no consent dependency. Fully GDPR compliant — the same data type used in European government transport planning.
How heavy is the integration?
Lightweight — dashboard access, CSV exports, or REST API. Most teams start with a pilot across a few cities. No heavy IT lift required.