Skip to Content Skip to Footer
Call for Papers: 2020 ART Forum

Call for Papers: 2020 ART Forum

How to Submit Your Work

Please send submissions as Word or PDF files with the subject line “2020 ART Forum Submission” to Monica Gerhardt,

The deadline is February 9, 2020.

About the ART Forum

June 3-5, 2020 | Simon Business School, University of Rochester, New York

The 31st annual ART Forum features practitioner and academic presentations on techniques useful to marketing researchers. It encompasses traditional topics such as segmentation, targeting and positioning and embraces new frontiers of text, video, and picture data, field experiments and big data analytics for improving business performance. Practitioners coming to the ART Forum will learn about new solutions and academics will learn about new problems.

The ART Forum has a history as a rich venue for advancing the science and practice of marketing thought.

Advisory Committee

  • Greg Allenby, Ohio State University
  • Sanjog Misra, Booth School of Business at the University of Chicago
  • Carl Mela, Fuqua School of Business at Duke University

Paper Selection Committee

  • David Bakken, Foreseeable Futures Group
  • Bryan Bollinger, NYU
  • Jeff Dotson, BYU
  • Elea Feit, Drexel University
  • Mitch Lovett, University of Rochester
  • Jorie Waterman, formerly of Redbubble, Shutterfly, and Ebay

In keeping with past ART Forum conferences, we continue to value presentations that highlight managerial problems and solutions. This year we plan to bring back the poster session, so we encourage poster submissions as well as full presentations. We encourage sharing new methods and source code among participants (i.e., no sales presentations, please!). We look forward to hearing from you.

Presentation Parameters

Presentations may be scheduled for 15-45 minutes or as a poster, as the committee finds appropriate. A proposal should:

  • Demonstrate an innovative and methodologically rigorous approach;
  • Integrate a marketing problem with one or more analytic methods;
  • Clearly communicate methods and their practical benefits;
  • Provide explicit and useful conclusions and recommendations for practitioners and academics.

Papers must be legitimate research offerings and not sales presentations or pitches for proprietary methods.

Proposal Outline

Please submit your presentation/paper/poster proposals using the following outline, describe your paper in 800 words maximum (total for items 3 – 6).

1. Title of the proposed paper.

2. Names of authors.

3. Specification of the research methods and techniques used (type of data, modeling approach, etc.).

4. What are the data sources (simulated data, choice model observations, survey, market basket, etc.)? With respect to analytic methods or programs: are they (1) commercially available, (2) privately available (consultancy proprietary or custom programming), or (3) available as open/shared source?

5. Status of Research: Proposed, underway or complete (including forthcoming/recently published).

6. Relevance and Importance: Reasons why the proposed paper will be of interest and practical value to the ART Forum audience of advanced research practitioners and academics.

7. Take-Home Materials: Materials that will be provided as guides for conference attendees to implement the methods. Examples of potential take-home materials include working papers, sample code, and/or how-to implementation guides. Will you share your code or procedure, plus example data (synthetic data is OK), such that attendees can easily recreate an analysis of the type you demonstrate? (These materials are not required at time of proposal submission, but will be required with the draft presentation.)

8. Presentation Format: (1) Research presentation; (2) Software, Code, or Method demonstration; (3) Poster.

9. Requested Amount of Time: 15 minutes (brief paper or demonstration), 30 minutes (extensive paper), 45 minutes (keynote or review paper), or NA (poster).

10. References: If available, please list (selected) earlier work by the authors to provide a context for the contribution; if applicable, please list other conferences where this paper has been presented.

11. Promotional description of your presentation (4-5 sentences) that will be used in program materials if accepted.

Please send submissions as Word or PDF files with the subject line “2020 ART Forum Submission” to Monica Gerhardt,

The deadline is February 9, 2020.

2019 Paper Examples

  • “Conjoint Meets AI” by by Peter Kurtz – Managing Partner, Innovation & Methods
  • “Modeling Consumer Engagement Across Multiple Social Media Platforms” by Vasu Unnava and Ashwin Aravindakshan, UC Davis
  • “Benefit Formation and Enhancement” by Hyowon Kim and Greg Allenby, Ohio State University MDRG’s Pricing Playbook, Heath Gregory, MDRG
  • “Product Launches with New Attributes: A Hybrid Conjoint-Consumer Panel Technique for Estimating Demand” by Paul Ellickson, Mitch Lovett and Bhoomija Ranjan, University of Rochester and Monash University
  • “Informing Preference Heterogeneity with Stated Preferences or Passive Geolocation” by Marc Dotson and Edward Johnson, BYU and Dynata
  • “Leveraging Limited Loyalty Programs Using Competitor Based Targeting” by Wayne Taylor (SMU) and Brett Hollenbeck (UCLA)
  • “How to Design a Better Diary Study” by Mitch Eggers, Kantar Profiles division, previously Lightspeed
  • “Multivariate Analysis with MaxDiff” by Jeff Brazell and Jake Lee, Blue Owl AI

Other Paper Examples

  • “Buy Till You Die” to Improve Operational Efficiency: Realigning the Sales Force Using the BG/NBD. Steven Lerner, Peter Fader, Bruce Hardie (2012)
  • Consumer Preference Elicitation of Complex Products using Support-Vector-Machine (SVM) Active Learning. Lan Luo, Dongling Huang (2012)
  • Developing an Advanced Preference Based Simulator – A Flexible and Scalable Approach Using Rand the Amazon Elastic Compute Cloud. Charles Carpenter, Jeffrey Dumont, Nelson Whipple (2012)
  • Models of Sequential Evaluation in Best-Worst Choice Tasks. Tatiana Dyachenko, Rebecca Walker Naylor, Greg M. Allenby (2013)
  • Monitoring Shifts in Product Feature Importance via Trends in Online Searches. Ye Hu, Rex Yuxing Du, Sina Damangir (2014)
  • Beyond Pairwise Similarity: The Category Covering Problem for the Analysis of Sorting Task Data in Marketing Research. Simon J. Blanchard, Wayne S. DeSarbo, Daniel Aloise (2015)