About Podscribe
Podscribe is a podcast attribution and measurement platform that helps advertisers track the performance of audio ad campaigns. Using pixel-based attribution, Podscribe connects podcast ad exposures to downstream conversions — even without a click — across podcasts, streaming audio, YouTube simulcasts, and broadcast radio.
How Prescient AI measures Podscribe
Prescient AI ingests attribution, spend, and conversion data from your Podscribe account and feeds it directly into the Marketing Mix Model. This allows the model to measure podcast advertising's incremental impact on revenue at the channel, tactic, and campaign level. Because podcast ads often drive action days or weeks after a listener hears them, the model captures delayed conversion patterns that last-touch reporting misses. With daily model updates, you get a current view of how your audio investment is performing relative to the rest of your media mix.
Why measure Podscribe with a Marketing Mix Model
Podcast attribution platforms do valuable work connecting exposures to conversions, but they can only measure what their pixel observes. A Marketing Mix Model goes further by quantifying how podcast advertising influences performance across other channels — the halo effects that show up as increased branded search, higher direct traffic, or a lift in Amazon sales. This cross-channel view lets you forecast what happens when you scale podcast spend, identify where you sit on the saturation curve for audio, and allocate budget with confidence across your full mix.
