Abstract: Methods and systems for substantially real-time modeling based on geographical and temporarily-modified weather data, client goals and historical business data to present localized advertising to influence consumer behavior. By overlaying sales information with weather data and predictive analytical models, dynamic messaging (e.g., advertising) may be delivered on a hyper-local basis across the web, television broadcast and cable, mobile devices and tablets automated in real-time. Further, the dynamic messaging may be tailored to specific marketers and their business. The messages may be created for each of the marketer's locations in a way that can be scaled.