Systems and methods for facilitating a predictive advertising campaign are disclosed herein, in one embodiment an advertising analytics server is programmed with a predictive advertising engine and an advertisement personalization engine. The advertising analytics server is communicatively coupled to one or more e-commerce sites, search engines, Web browsers or other Web sites. The advertising analytics server and its constituent components are capable of implementing predictive advertising models and rules that automatically generate advertisements on behalf of e-commerce sites by analyzing data (analytics) from the e-commerce sites or individual consumers. Advertisements are optimally generated for e-commerce businesses based on statistical models that predict consumer behavior, preferences, and likelihood of purchases. Using these models, e-commerce businesses are able to advertise their products and services, bid on key words and target a variety of consumers in a personalized, targeted and cost effective manner, resulting in increased revenue and efficient allocation of marketing resources.