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.

Abstract: A system and method for real-time generation of segments for a computerized decision system provides an event segment list to a decision engine. The event segment list is generated based on consumer affinities determined from consumer data and modeled data on that consumer's consumption and geo-location. The consumer affinities are used in a query to obtain current events related to the consumer's affinities. The current events are associated with generic events, which together are included in the event segment list, which is delivered to the decision engine and used to make a decision based on the event segment list and specified decision criteria.

Abstract: A system and method for real-time generation of segments for a computerized decision system provides an event segment list to a decision engine. The event segment list is generated based on consumer affinities determined from consumer data and modeled data on that consumer's consumption and geo-location. The consumer affinities are used in a query to obtain current events related to the consumer's affinities. The current events are associated with generic events, which together are included in the event segment list, which is delivered to the decision engine and used to make a decision based on the event segment list and specified decision criteria.