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.
February 15, 2019

Send proposals and questions to


August 2018 Award Winners

California Institute of Technology's Animashree
Learning Actively in the Wild
MIT Sloan's Georgia Perakis
Dynamic Creative Optimization in Display Advertising
University of California Los Angeles' Quanquan Gu
Collaborative Multimodal Deep Reinforcement Learning for Journey Optimization
University of Alabama's Jacob Chakareski
Effective Delivery of Six Degrees of Freedom Volumetric Virtual and Mixed Reality Experiences
Purdue University's Elias Bareinboim
Optimal Decision-Making under Casual Constraints
University of Washington's Katharina Reinecke
Predicting the Visual Appeal and Memorability of Marketing Emails
University of California San Diego's Julian McAuley
Self-Attentive Models for Session-Based Recommendation and Budget Discovery
University of Pittsburgh's Adriana Kovashka
Inferring Advertised Product Properties for Automatic Personalization of Visual Advertisements
Visit Adobe Research for more information.

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