Predictabuy is a start-up providing software and services to local information publishers.
We provide advertising recommendations that improve ad relevance resulting in increased advertising revenue for publishers. Our recommendations are based on where a user is, their current situation (such as time, date and weather) and their personal preferences. We learn how to make recommendations by analyzing past and current local search history.
Predictabuy recommendations are able to improve on traditional targeting methods by appropriately taking into account many more factors and dynamically generating recommendations based on real-time conditions. This slices a local publishers inventory more finely and with greater precision allowing more accurate selection of the most valuable advertising and higher participation rates.
By building models of individual and aggregate consumer behavior from a publisher’s search logs Predictabuy lets both publishers and consumers realize the value inherent in this data.
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