University Marketing Research


Promoting the use of data science in marketing.

Every year, Adobe funds a university faculty research program to promote the understanding and use of data science in the area of marketing. Our goal is to encourage both theoretical and empirical development of solutions to problems in marketing.
Adobe will provide funding support of up to $50,000 to a North American academic institution, college, or university for each selected research proposal. Awards will be in the form of an unrestricted gift to the academic institution under the names of the researchers who submitted the proposal.
Each proposal will address an area of interest relative to Adobe Experience Cloud. This comprehensive set of cloud services gives businesses access to an integrated set of solutions to build campaigns, manage advertising, and gain deep intelligence about the business. It’s everything a company needs to drive brand growth and orchestrate an amazing customer experience.
Topics for research include, but are not limited to, the following areas:
Transforming insights from the trillions of customer touch points that we track on behalf of brands into advanced analytical algorithms to make high-value predictions about consumer experiences.
Analyzing data to better deliver personalized digital experiences to customers across websites, applications, emails and notifications.
Using data to help brands design and deliver effective advertising campaigns across search, display, social, video and mobile channels to reach and acquire customers efficiently.



Grant Submission Guidelines & FAQ

Who is eligible to receive the grant?
Full-time faculty members from North American universities
How long should the proposal be?
Preferably two pages
Submission requirements:
Title, proposer name and contact information, research goals, description of project(s), use of funds
Award Range:
Up to $50,000 (US)
*Adobe does not pay for overhead on unrestricted gifts. This unrestricted gift should not be used for indirect costs, administrative costs, and overhead charges.
August 16, 2019

Send proposals and questions to


February 2019 Award Winners

Indiana University's Roni Khardon
Effective Decision Making in Large Action Spaces
Texas A&M University's Xia "Ben" Hu
Learning Post-hoc Explanations of Deep Neural Networks with Applications in Marketing
University of California Davis' Yong Jae Lee
AI-powered Personalized Visual Content Creation
University of Georgia's Sheng Li
Beyond User Profile: Multi-sense Customer Knowledge Graph for Personalized Experience
University of Washington's Tim Althoff
Neural User Representation Learning for Large-scale Observational Studies
Visit Adobe Research for more information.

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