Allison pushes the boundaries of what advanced statistical analysis can accomplish for our client’s direct-to-consumer (DTC) marketing efforts. Allison leads Rain’s Marketing Analytics team responsible for working directly with clients to customize measurement and optimization solutions to drive campaign strategy and success.
As a trained data scientist with over 15 years of experience in predictive modeling and marketing analytics, Allison focuses on providing innovative solutions to clients’ measurement needs with her team of analysts, developers, and data experts. Her team is constantly mining insights from Rain’s proprietary media analytics and planning tools: Tracker™, Signal Link, WaveCast and ConsumerID — as well as shaping these tools to be future proof. By analyzing real-time behavioral signals, quantifying cross-channel marketing synergy, and measuring the longitudinal impact on business objectives, Allison and her team are breaking new ground in terms of measurable marketing results.
Before joining Rain, Allison was the Director of Analytics and Predictive Modeling at access2insight, Inc. (a2i) and prior to that she managed predictive modeling projects at Leo Burnett Worldwide, Inc. In both roles, she worked closely with the client to build predictive models and custom analysis to meet their business needs.
Throughout her career, Allison has had the opportunity to work on a wide variety of brands in consumer packaged goods, retail, and healthcare: Consumer Cellular, Soma, Lending Tree, SmileDirect Club, Home Chef, Mercari, Pepsi Co, Kellogg’s, Kimberly-Clark, ULTA Beauty, Unilever, Lands’ End, Cost Plus World Market, Georgia-Pacific, Blue Cross Blue Shield Association, and more.
Allison received her Bachelor of Science in Marketing Statistics with a minor in Computer Science from the Missouri State University and a Master of Science in Marketing Analysis (M.S.M.A.) from DePaul University. Allison and family are avid travelers, so be sure to ask for recommendations.