Grid interactive buildings are smart – enabling data analytics to optimally manage loads, occupant preferences, and grid requirements. However, there is growing recognition that technology alone cannot achieve energy efficiency goals. Occupant behavior and preferences must align with energy conservation and demand response objectives. This track will focus on data analytics to influence user behavior towards an energy sufficient lifestyle. International experiences demonstrating how data analytics can successfully nudge occupant preferences to align with grid requirements, will be showcased here.