David Harman

Assistant Professor, Marketing

harm4563@stthomas.edu

(651) 962-5847

2115 Summit Ave
McNeely Hall 358
St. Paul, MN 55105

B.A., Philosophy, St. John's College
M.B.A., Marketing, University of Washington
Ph.D., Marketing, University of Iowa

See publications in UST Research Online

David Harman is an Assistant Professor in the Department of Marketing at the Opus College of Business. His research focuses on customer lifetime value and customer retention as well as bringing existing statistical methods into professional marketing analytics practice. He previously worked at AT&T Mobility where he managed the targeting strategy for AT&T's wireless retention direct marketing campaigns. Dr. Harman has a BA in Philosophy from St. John's College, Santa Fe, NM, an MBA in Marketing from the University of Washington, Seattle, WA, and a PhD in Marketing from the University of Iowa.

Fall 2018 Courses
Fall 2018 Courses
Crs - Sec Title Days Time Location
MKTG 340 - L01 Marketing Research - T - R - - - 1330 - 1510 MCH 118
Description of course Marketing Research : CRN: 43006 4 Credit Hours
In this course, students learn to develop surveys, observation, experiments, and other tools for learning about customer characteristics and requirements. They learn about analytical techniques, data sources, re search planning and costs. Students would greatly benefit from completing this course before they take MKTG 430. Prerequisites: MKTG 300, MATH 101 or 109 or 111 or 113, STAT 220 (QMCS 220 or IDTH 220)
Schedule Details
Location Time Day(s)
MKTG 340 - L02 Marketing Research - T - R - - - 1525 - 1700 MCH 118
Description of course Marketing Research : CRN: 43007 4 Credit Hours
In this course, students learn to develop surveys, observation, experiments, and other tools for learning about customer characteristics and requirements. They learn about analytical techniques, data sources, re search planning and costs. Students would greatly benefit from completing this course before they take MKTG 430. Prerequisites: MKTG 300, MATH 101 or 109 or 111 or 113, STAT 220 (QMCS 220 or IDTH 220)
Schedule Details
Location Time Day(s)
J-Term 2019 Courses
J-Term 2019 Courses
Crs - Sec Title Days Time Location
Spring 2019 Courses
Spring 2019 Courses
Crs - Sec Title Days Time Location
MKTG 340 - L01 Marketing Research - T - R - - - 1330 - 1510 MCH 118
Description of course Marketing Research : CRN: 22165 4 Credit Hours
In this course, students learn to develop surveys, observation, experiments, and other tools for learning about customer characteristics and requirements. They learn about analytical techniques, data sources, re search planning and costs. Students would greatly benefit from completing this course before they take MKTG 430. Prerequisites: MKTG 300, MATH 101 or 109 or 111 or 113, STAT 220 (QMCS 220 or IDTH 220)
Schedule Details
Location Time Day(s)
MKTG 340 - L02 Marketing Research - T - R - - - 1525 - 1700 MCH 229
Description of course Marketing Research : CRN: 22166 4 Credit Hours
In this course, students learn to develop surveys, observation, experiments, and other tools for learning about customer characteristics and requirements. They learn about analytical techniques, data sources, re search planning and costs. Students would greatly benefit from completing this course before they take MKTG 430. Prerequisites: MKTG 300, MATH 101 or 109 or 111 or 113, STAT 220 (QMCS 220 or IDTH 220)
Schedule Details
Location Time Day(s)
MKTG 729 - 201 Marketing Analytics See Details * *
Description of course Marketing Analytics : CRN: 22187 3 Credit Hours
There is growing demand for marketers with the technical skills needed to make use of data to inform marketing decisions. Students will work hands-on with marketing data as they learn how to use the tools (mainly R, some Excel) and methods necessary to develop useful customer insights. Students will also learn what marketing questions – segmentation, customer lifetime value, etc. – these methods are meant to address. This course is quantitatively oriented, and some of the methods will be very technical. But these methods are means to an end: to better understand our customers in order to make informed marketing decisions. Prerequisite: OPMT600 or SEIS631; Recommended: OPMT605. Prerequisite: OPMT600; Recommended: OPMT605
Schedule Details
Location Time Day(s)
SCH 3021800-210004 Feb '19
-- - - - - - -
SCH 3021800-210018 Feb '19
SCH 3021800-210004 Mar '19
SCH 3021800-210018 Mar '19
SCH 3021800-210001 Apr '19
SCH 3021800-210015 Apr '19
SCH 3021800-210029 Apr '19
SCH 3021800-210013 May '19
Academic and Professional Positions
  • Assistant Professor, University of St. Thomas - Opus College of Business, Saint Paul / Minneapolis (2016 - present)
  • Teaching Assistant, University of Iowa - Tippie College of Business, Iowa City (2011 - 2016)
  • Senior Marketing Manager, AT & T Mobility, Redmond (2006 - 2011)
  • Project Manager, Microsoft, Redmond (2001 - 2004)

Professional Memberships
  • America Marketing Association
  • Direct Marketing Education Foundation Professors' Academy
  • INFORMS

Professional Service
  • St. John's College Alumni Association,

Publications

Books and Chapters

Research Interests
  • Customer lifetime value
  • Customer retention
  • CRM
  • Marketing analytics
  • Bayesian applications in marketing

Awards and Honors
  • Ballard and Seashore Dissertation Fellowship, University of Iowa, 2016
  • Graduate College Post Comprehensive Summer Fellowship, University of Iowa, 2015
  • Haring Symposium Fellow, 2015
  • M. Bhanu Murthy Memorial Prize fo Excellence in Teaching, University of Iowa, 2015
  • Marketing Science Doctoral Consortium Fellow, 2015
  • Middelstaedt Doctoral Symposium Fellow, 2014
  • Ponder Summer Fellowship, University of Iowa, 2014
  • Sheth Doctoral Consortium Fellow, AMA, 2015

Presentations
  • "Accounting for Customers with No Repeat Transactions in Latent Attrition Models" EMAC Conference, Glasgow, Scotland, UK, May 01, 2018
  • "I "like" it: How message content and media elements affect fan engagement with sport teams' social media" Opus College of Business Research Forum, St. Paul, Minnesota, March 01, 2018
  • "Counting your nonstationary customers: Addressing inconsistency and bias in latent attrition model estimates" University of Iowa, Iowa City, Iowa, January 01, 2016
  • "Counting your nonstationary customers" ISMS Marketing Science Conference, Baltimore, Maryland, June 01, 2015
  • "Counting your seasonal customers: Adding time-varying covariates to stochastic customer lifetime value models" Haring Symposium, Indiana University, Bloomington, Indiana, April 01, 2015
  • "Counting your seasonal customers" ISMS Marketing Science Conference, Atlanta, Georgia, June 01, 2014