Billboard Impressions Calculator
A quick and easy way to calculate your weekly impressions for your digital and static billboards.
Read below to see how we calculate this impression data.
Static Billboard Calculator
Weekly Impressions Estimator
Estimated Weekly Impressions
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Enter stats and click Calculate
Digital Billboard Calculator
Weekly Impressions Estimator
Estimated Weekly Impressions
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Enter stats and click Calculate
How Impressions Are Calculated
Weekly impressions for billboards are typically estimated using traffic data and visibility formulas. The exact methodology varies by market and measurement provider, but here’s our general process:
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Static Billboard Formula
Weekly Impressions = Daily Traffic Count (or DEC) DIVIDED by 2 (One Side of the Billboard) TIMES 1.5 (Average Vehicle Occupancy) TIMES 7 (1 week)
For example:
- Traffic Count: 20,000 vehicles per day
- Divided by 2 = 10,000
- Times 1.5 = 15,000
- Times 7 = 105,000
105,000 weekly impressions
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Digital Billboard Formula
Weekly Impressions = Daily Traffic Count (or DEC) DIVIDED by 2 (One Side of the Billboard) DIVIDED by the Total number of Slots (8) TIMES 1.5 (Average Vehicle Occupancy) TIMES 7 (1 week)
For example:
- Traffic Count: 20,000 vehicles per day
- Divided by 2 = 10,000
- Divided by 8 =1,250
- Times 1.5 = 1,875
- Times 7 = 13,125
13,125 weekly impressions
NOTE: If your digital billboard is located at a stoplight, the slot might get viewed 2x. If so, adjust your impressions accordingly.
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How GeoPath Usually Measures It
Organizations like Geopath use:
- Traffic counts from state DOTs and local agencies
- Travel patterns
- Billboard location and orientation
- Speed of traffic
- Number of lanes
- Viewing angle
- Distance from the roadway
- Population demographics
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A Note for Billboard Sales
When you’re building proposals for billboard companies, it’s important to distinguish between:
- Traffic Count = Vehicles passing
- Impressions = Estimated people exposed to the billboard
Many advertisers assume they’re the same thing, but impressions are usually higher because multiple people may be in a vehicle.