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Showing posts with the label predictive

Data-Assists for Advertisers are Fair-Trade for Users

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Application of real-time data to buy some component of programmatic media is useful compared to most platforms that execute 100% of media buys in retrospect. The cookie is widely used after the 'horse has bolted', in retrospect, which explains why many ads keep appearing well after a purchase or interaction. AdFreeway introduced data-assists which are an instance of user provided, prospective data obtained during a programmatic advertising campaign that is associated with an advertisers desired outcome for their ad impression. These data-assists are reported as an event of the impression which is reported to advertisers and the user, with payment. It works because votes discover cohort identifiers that cluster with the voter. The discovered identifiers are rarely in the advertisers audience and the voted ad unit is rapidly delivered on the first available brand-safe impression. This just-in-time approach discovers new customers, ensures freshness and a responsiveness that gives...

Predictive Analytics Optimize Media Buying

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A campaign with Yonder Media South Africa, for KFC is among several that demonstrates AdFreeway's capacity to interpret real-time content voting that predicts and automates programmatic media buying. All media was purchased via The Trade Desk.  AdFreeway presented each of three creatives, for different products to users of its social feed to obtain opinions. A maximum one vote could be cast per user/creative. Each voter caused a dynamic selection from a cohort of millions of inter-connected audience identifiers to be targeted. From these identifiers connected during the campaign bids were prioritized to serve an identifiers' predicted creative preferences. The voting dynamic and interconnections modified predictions in near real-time. This delivered incrementally to the audience and new customers were qualified by significantly lower CPA's and 2 x ROAS. The above table of AdFreeway campaign scores were based on CPA and other performance metrics. This demonstrates that (far ...