TVadSync Taps Into TV Metadata To Detect Subtle Patterns In Viewing Behavior

You are what you watch.

One of the advantages of having access to the largest aggregate ACR TV viewing data set is being able to apply the latest data science to identify patterns within the data and to make predictions on consumer behavior.

TVadSync identifies “taste communities” hidden in billions of hours of television viewing data, similar to Netflix’s taste clusters. This is powerful stuff for brands who want to know “who’s my tribe?”. Marketers no longer have to rely on age / gender demographic consumer profiles, but can look to deeper behavioral and psychographic segmentation, based on how people spend more hours of their day than any other activity (sometimes including work!).

That’s television.

Brands can profile their existing customer base to identify high-likelihood prospects within taste communities — for planning contextual advertising such as linear TV; and planning addressable advertising such as digital/OTT/CTV.

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