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David Schweidel

Professor at McDonough School of Business

Professor & Rebecca Cheney McGreevy Endowed Chair of Marketing at Goizueta Business School

Schools

  • Goizueta Business School
  • McDonough School of Business

Expertise

Links

Biography

McDonough School of Business

David A. Schweidel is a Professor of Marketing at the McDonough School of Business at Georgetown University. Schweidel received his B.A. in mathematics, M.A. in statistics, and Ph.D. in marketing from the University of Pennsylvania. Prior to joining Georgetown, he was a member of the faculty at the Wisconsin School of Business at the University of Wisconsin-Madison and Goizueta Business School at Emory University.

Schweidel is an expert in the areas of customer relationship management and social media analytics. His research focuses on the development and application of statistical models to understand customer behavior and inform managerial decisions. His research has appeared in leading business journals including Journal of Marketing, Journal of Marketing Research, Marketing Science and Management Science. His research has garnered numerous awards, including the Gaumnitz Junior Faculty Research Award from the Wisconsin School of Business, the Caldwell Award for Excellence in Research from Goizueta Business School, and the Marketing Science Institute’s Buzzell Award. He has been recognized as a leading scholar by the Marketing Science Institute’s Young Scholar program and by Poets and Quant’s “Top 40 Under 40.”

Schweidel is the co-author of Social Media Intelligence (Cambridge University Press) in which he and his co-author discuss how organizations can leverage social media data to inform their marketing strategies. He is also the author of Profiting from the Data Economy (Pearson FT Press), in which he details the value of businesses tapping into consumer data for both individuals and organizations, and the potential need for regulation in this space.

Education

  • University of Pennsylvania - Ph.D., Marketing
  • University of Pennsylvania - M.A., Statistics
  • University of Pennsylvania - B.A., Mathematics

Publications

Books (2)

David A. Schweidel. Profiting from the Data Economy: Understanding the Roles of Consumers, Innovators and Regulators in a Data-Driven World. FT Press, 2014.

Wendy W. Moe; David A. Schweidel. Social Media Intelligence. Cambridge University Press, 2014.

Articles in Journals (20)

Beth L. Fossen, Michelle Andrews And David A. Schweidel. "Sociodemographic Versus Geographic Proximity In The Diffusion Of Online Conversations." Journal Of The Association For Consumer Research, 2, 2 (April 2017): 246-266. https://doi.org/10.1086/690939.

Yuchi Zhang, Wendy W. Moe And David A. Schweidel. "Modeling The Role Of Message Content And Influencers In Social Media Rebroadcasting." International Journal Of Research In Marketing, 34, 1 (March 2017): 100-119. https://doi.org/10.1016/j.ijresmar.2016.07.003.

Beth L. Fossen And David A. Schweidel. "Television Advertising And Online Word-of-mouth: An Empirical Investigation Of Social TV Activity." Marketing Science, 36, 1 (January 2017): 105-123. https://doi.org/10.1287/mksc.2016.1002.

David A. Schweidel And Wendy W. Moe. "Binge Watching And Advertising." Journal Of Marketing, 80, 5 (September 2016): 1-19. https://doi.org/10.1509/jm.15.0258.

Michael Braun, David A. Schweidel And Eli Stein. "Transaction Attributes And Customer Valuation." Journal Of Marketing Research, 52, 6 (December 2015): 848-864. https://doi.org/10.1509/jmr.13.0377.

David A. Schweidel, Natasha Zhang Foutz And Robin J. Tanner. "Synergy Or Interference: The Effect Of Product Placement On Commercial Break Audience Decline." Marketing Science, 33, 6 (November 2014): 763-780. https://doi.org/10.1287/mksc.2014.0864.

Chang Hee Park, Young-hoon Park And David A. Schweidel. "A Multi-category Customer Base Analysis." International Journal Of Research In Marketing, 31, 3 (September 2014): 266-279. https://doi.org/10.1016/j.ijresmar.2013.12.003.

Jennifer Wiggins Johnson, Joann Peck And David A. Schweidel. "Can Purchase Behavior Predict Relationship Perceptions And Willingness To Donate?." Psychology & Marketing, 31, 8 (August 2014): 647-659. doi.org/10.1002/mar.20725.

David A. Schweidel And Wendy W. Moe. "Listening In On Social Media: A Joint Model Of Sentiment And Venue Format Choice." Journal Of Marketing Research, 51, 4 (August 2014): 387-402. https://doi.org/10.1509/jmr.12.0424.

David A. Schweidel, Young-hoon Park And Zainab Jamal. "A Multiactivity Latent Attrition Model For Customer Base Analysis." Marketing Science, 33, 2 (March 2014): 273-286. https://doi.org/10.1287/mksc.2013.0832.

David A. Schweidel And George Knox. "Incorporating Direct Marketing Activity Into Latent Attrition Models." Marketing Science, 32, 3 (May 2013): 471-487. https://doi.org/10.1287/mksc.2013.0781.

Wendy W. Moe And David A. Schweidel. "Online Product Opinions: Incidence, Evaluation, And Evolution." Marketing Science, 31, 3 (May 2012): 372-386. https://doi.org/10.1287/mksc.1110.0662.

Robert J. Kent And David A. Schweidel. "Introducing The Ad Ecg." Journal Of Advertising Research, 51, 4 (December 2011): 586-593. doi.org/10.2501/JAR-51-4-586-593.

Michael Braun And David A. Schweidel. "Modeling Customer Lifetimes With Multiple Causes Of Churn." Marketing Science, 30, 5 (September 2011): 881-902. https://doi.org/10.1287/mksc.1110.0665.

David A. Schweidel, Eric T. Bradlow And Peter S. Fader. "Portfolio Dynamics For Customers Of A Multiservice Provider." Management Science, 57, 3 (March 2011): 471-486. https://doi.org/10.1287/mnsc.1100.1284.

David A Schweidel And Robert J Kent. "Predictors Of The Gap Between Program And Commercial Audiences: An Investigation Using Live Tuning Data." Journal Of Marketing, 74, 3 (May 2010): 18-33. https://doi.org/10.1509/jmkg.74.3.18.

David A. Schweidel And Peter S. Fader. "Dynamic Changepoints Revisited: An Evolving Process Model Of New Product Sales." International Journal Of Research In Marketing, 26, 2 (June 2009): 119-124. https://doi.org/10.1016/j.ijresmar.2008.12.005.

David A. Schweidel, Peter S. Fader And Eric T. Bradlow. "A Bivariate Timing Model Of Customer Acquisition And Retention." Marketing Science, 27, 5 (September 2008): 829-843. https://doi.org/10.1287/mksc.1070.0328.

David A Schweidel, Peter S Fader And Eric T Bradlow. "Understanding Service Retention Within And Across Cohorts Using Limited Information." Journal Of Marketing, 72, 1 (January 2008): 82-94. https://doi.org/10.1509/jmkg.72.1.82.

David A Schweidel, Eric T Bradlow And Patti Williams. "A Feature-based Approach To Assessing Advertisement Similarity." Journal Of Marketing Research, 43, 2 (May 2006): 237-243. https://doi.org/10.1509/jmkr.43.2.237.

Goizueta Business School

David A. Schweidel is Professor of Marketing at Emory University’s Goizueta Business School. Schweidel received his B.A. in mathematics, M.A. in statistics, and Ph.D. in marketing from the University of Pennsylvania. He was previously on the faculty of the Wisconsin School of Business at the University of Wisconsin-Madison and Georgetown University’s McDonough School of Business.

Schweidel is an expert in the areas of customer relationship management and social media analytics. His research focuses on the development and application of statistical models to understand customer behavior and inform managerial decisions. His research has appeared in leading business journals including Journal of Marketing, Journal of Marketing Research, Marketing Science and Management Science. His research has garnered numerous awards, including the Gaumnitz Junior Faculty Research Award from the Wisconsin School of Business and the Marketing Science Institute’s Buzzell Award. He has been recognized as a leading scholar by the Marketing Science Institute’s Young Scholar and Scholar programs, and by Poets and Quant’s “Top 40 Under 40.” Based on his research, he has consulted for companies including EBay, HP Labs and General Motors.

Schweidel is the author of Social Media Intelligence (Cambridge University Press) in which he and his co-author discuss how organizations can leverage social media data to inform their marketing strategies. He is also the author of Profiting from the Data Economy (Pearson FT Press), in which he details the value of businesses tapping into consumer data for both individuals and companies.

Areas of Expertise

  • Artifical Intelligence
  • Social Media
  • Customer Analytics & Strategy
  • Analytics and Big Data
  • Political Marketing

Education

  • Ph.D. in Marketing
    The Wharton School of the University of Pennsylvania
  • M.Sc. in Statistics
    The Wharton School of the University of Pennsylvania
  • B.A. in Mathematics, Economics and Actuarial Mathematics
    University of Pennsylvania

PUBLICATIONS

  • Schweidel, David A., Eric T. Bradlow and Patti Williams (2006), "A Feature-Based Approach to Assessing Advertisement Similarity," Journal of Marketing Research, 43 (2), 237-243
  • Schweidel, David A., Peter S. Fader and Eric T. Bradlow (2008), "Understanding Subscriber Retention Within and Across Cohorts Using Limited Information," Journal of Marketing, 72 (1), 82-94.
  • Schweidel, David A., Peter S. Fader and Eric T. Bradlow (2008), "A Bivariate Timing Model of Customer Acquisition and Retention," Marketing Science, 27 (5), 829-843.
  • Schweidel, David A. and Peter S. Fader, (2009) "Revisiting Dynamic Changepoints: An Evolving Process Model of New Product Sales," International Journal of Research in Marketing, 26 (2), 119-124.
  • Schweidel, David A. and Robert J. Kent (2010), "Predictors of the Gap between Program and Commercial Audiences: An Investigation Using Live Tuning Data," Journal of Marketing, 74 (3), 18-33.
  • Schweidel, David A., Eric T. Bradlow and Peter S. Fader (2011), "Portfolio Dynamics for Customers of a Multiservice Provider," Management Science, 57 (3), 471-486.
  • Moe, Wendy W., David A. Schweidel and Michael Trusov (2011), "What Influences Customers’ Online Comments" MIT Sloan Management Review, 53 (1), 14-16.
  • Braun, Michael and David A. Schweidel (2011), "Modeling Customer Lifetimes with Multiple Causes of Churn," Marketing Science, 30 (5), 881-902.
  • Kent, Robert J. and David A. Schweidel (2011), "Introducing the Ad ECG: How the Set-top Box Tracks the Lifeline of Television," Journal of Advertising Research, 51 (4), 586-593.
  • Moe, Wendy W. and David A. Schweidel (2012), "Online Product Opinions: Incidence, Evaluation and Evolution," Marketing Science, 31 (3), 372-386.
  • Goldstein, Kenneth, David A. Schweidel and Mike B. Wittenwyler (2012), "Lessons Learned: Political Advertising and Political Law," Minnesota Law Review, 96 (5), 1732-1754.
  • Schweidel, David A. and George Knox (2013), "Incorporating Direct Marketing Activity into Latent Attrition Models," Marketing Science, 32 (3), 471-487.
  • Johnson, Jennifer Wiggins, Joann Peck and David A. Schweidel (2014), "Can Purchase Behavior Predict Relationship Perceptions and Willingness to Donate," Psychology and Marketing, forthcoming.
  • Park, Chang Hee, Young-Hoon Park and David A. Schweidel (2014), "A Multi-category Customer Base Analysis," International Journal of Research in Marketing, forthcoming.
  • Schweidel, David A. and Wendy W. Moe (2014), "Listening in on Social Media: A Joint Model of Sentiment and Venue Format Choice," Journal of Marketing Research, forthcoming.

WORKING PAPERS

  • Schweidel, David A., Natasha Foutz and Robin J. Tanner, "Synergy or Interference: The Effect of Product Placement on Commercial Break Audience Decline," conditionally accepted at Marketing Science.
  • Fossen, Beth L., David A. Schweidel and Michael Lewis, "Performance Premiums and Advertising: An Application to Human Brands in Political Races," under review at Marketing Science
  • Braun, Michael, David A. Schweidel and Eli Stein, "Customer Base Analysis with Service Quality Data," revising for 2nd round at Journal of Marketing Research
  • Wang, Yanwen, Michael Lewis, David A. Schweidel and Manish Tripathi, "The Value and Management of Candidates' Social Media Communities: An Empirical Analysis of Congressional Elections in 2010 and 2012," revising for resubmission to Journal of Marketing Research
  • Zhang, Yuchi, Wendy W. Moe and David A. Schweidel, "Drivers of Social Media Rebroadcasting: Drivers of Social Media Rebroadcasting: Investigating the Role of Message Content and Influencers," revising for resubmission to Journal of Marketing Research

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