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Behavioral Ad Targeting and Predictive Analysis
It is estimated that between 20% and 30% of display ad impressions are wasted. Campaigns are run on inappropriate sites, bad locations, in the wrong geographies, but at the core, they simply target the wrong people. Getting visitor information from publisher’s sites and combining that in real-time with other known information about a visitor in real-time is not a small challenge.
The massive data processing power of STRADA can provide the basis for behavioral targeting and predicting customer behavior by leveraging multiple sources of data. The system has the distinctive ability to track hundreds of millions of unique visitors over time and perform real-time segmentation – so that the results of every campaign can be modeled to improve results before the campaign ends. STRADA enables marketers to compare behavioral, psychographic, demographic, seasonal, site and publisher / property attributes across an immense range of metrics and conversion goals.
STRADA provides the ability to predict customer behavior based on deep visitor data and context by capturing user behavior in real-time and automatically segmenting each user based on their activity, history, and attributes – even across multiple data sources (ad network, ad server, publisher, marketing overlay data, etc). This real-time segmentation allows networks to target specific segments with personalized dynamic ads or content.
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Continuous Analytics Technology