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OOH advertising firm VMO upgrades measurement tool to track hourly audience data

by MARKETECH APAC

-

October 13, 2020

VMO DART

Australia – Australia-based cinema and outdoor advertising firm Val Morgan Outdoor (VMO) has evolved its audience measurement platform DART to determine hourly audience data at a screen level, across the locations at which it runs ads such as in retail, health club, and petro-convenience environments. The enhancement is in collaboration with independent marketing effectiveness consultancy Data2Decisions

VMO has already integrated promising features on the previous version of DART such as being able to track those viewing content based on age and gender and the ability to highlight facial features and determine moods. Dubbed as DART R&F, the newly improved platform combines VMO’s facial analytics data with third-party consumer data and machine learning, with its tech building impression scores as well.

“DART represents an enormous wealth of human interaction data that, when calibrated against third-party and independent data sources, it provides a highly accurate and scalable view of true audiences at VMO locations,” said Paul Butler, managing director at VMO.

Meanwhile, the partnership with Data2Decisions will see the consultancy building and verifying the platform’s audience reach methodology, which from today will apply to all campaigns.

Managing Partner of Data2Decisions John Price said, “Using the latest machine learning techniques to combine datasets, we were able to create a prediction model of specific audiences by the hour at an individual screen level. This has helped us, in partnership with VMO, to create reach and frequency calculations that provide the most robust measure of OOH audiences to date.”

Related Tags Australia DART R&F Marketing Measurement Data2Decisions Val Morgan Outdoor VMO Out of home advertising Programmatic Campaign Programmatic ads Aussie OOH OOH firm Measurement tool Hourly audience data Programmatic advertising facial features facial analytics DART
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