Measure the true impact of radio advertising with Podscribe
- Podscribe delivers reporting that makes radio feel digital, connecting broadcast/terrestrial and satellite ad airings to real conversion outcomes
- Measures incremental impact by analyzing conversion activity following verified ad airings
- Uses advanced statistical modeling, including Bayesian methods, to improve accuracy over time
- Provides real-time insights into which stations, publishers, DMAs, day parts, and campaigns drive the best results
- Built on a transparent, trusted, third-party measurement framework
- Streamlines processing of radio data from multiple sources to enable fast and powerful reporting
How It Works
Podscribe evaluates the relationship between ad airings, audience exposure, and conversion activity:
- Ad Airs on Radio
Ads run across terrestrial and satellite radio stations.
- Airchecks & Verification
Podscribe verifies when and where ads aired.
- Audience Exposure Signals
Exposure data is gathered through third-party integrations.
- Post-Airing Analysis
Podscribe analyzes how conversion activity changes following ad airings, identifying patterns in consumer response.
- Impact Measurement
Podscribe measures incremental impact, showing how campaigns drive online and offline conversions, including visitors, leads, purchases, app downloads, and more.
- Bayesian Modeling & Calibration
Statistical models incorporate historical campaign data, seasonality, and broader trends to distinguish true signal from noise and continuously refine accuracy.
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