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DSP & Data Activation

DOOH Audience Data: Buying the Screen by Profile

Programmatic DOOH automated the buying but did not make the selection smarter. Area profiles per screen environment change that.

The DOOH data problem

Screens get booked on gross contacts, and waste is treated as a trait of the channel. Yet the relevant question has long been answerable: which audience shapes the environment of a placement, at which time of day? Person tracking is not needed for that; area data suffices.

Selecting screens through area profiles

An area profile per screen environment bundles frequency patterns, environment character and proximity to relevant places. Screens become comparable and sortable by campaign fit. Buying runs through PMPs and deals on DOOH-capable DSPs, and dayparting follows the frequency pattern instead of a flat rate.

Proving impact

Area holdouts work here too: comparable screen environments stay unbooked and provide the baseline. Teams that additionally track retail or inquiry KPIs per region see the DOOH contribution instead of assuming it.

Go deeper

DOOH screens booked on gut feeling or on profile?

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More from this cluster

  • Q01
    Does data-driven DOOH require person tracking?

    No. An area profile per screen environment is enough: frequency patterns, environment character and proximity to relevant places. That makes screens comparable and sortable by campaign fit, with no person in the data path.

  • Q02
    How do we evidence the DOOH contribution?

    With area holdouts: comparable screen environments stay unbooked and provide the baseline. Add retail or enquiry KPIs per region and you see the contribution instead of estimating it.

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