Professor

Kristof COUSSEMENT

Kristof COUSSEMENT
Full Professor
Ph.D. in Applied Economics - Ghent University
Academic Director
Track: Marketing
LEM Member
Education
  • 2013 : HDR, Business Administration, Marketing, University of Paris Dauphine, France
  • 2008 : Ph.D. in Applied Economics, Ghent University, Belgium
  • 2005 : Master, Marketing Analytics, Ghent University, Belgium
  • 2004 : Master, Business Administration, Marketing, Ghent University, Belgium
  • 2002 : Bachelor, Business Administration, Marketing, Ghent University, Belgium
Professional Experiences
Academic Experience
  • 2015 - present, Full Professor of Marketing Analytics, IÉSEG School of Management, , France
  • 2014 - present, Academic Director of MSc. in Big Data Analytics for Business, IÉSEG School of Management, , France
  • 2011 - present, Director of IESEG Center for Marketing Analytics (ICMA), IÉSEG School of Management, , France
  • 2011 - 2015, Associate Professor of Marketing Analytics , IÉSEG School of Management, , France
  • 2009 - 2011, Assistant Professor of Marketing , IÉSEG School of Management, , France
  • 2008 - 2009, Assistant Professor of Marketing, KULeuven Campus Brussels, ,
Published Papers in Refereed Journals
  • De Caigny A., Coussement K., De Bock K.W., (2018). A New Hybrid Classification Algorithm for Customer Churn Prediction Based on Logistic Regression and Decision Trees, European Journal of Operational Research, 269 (2) 760-772.
  • Debaere S., Coussement K., De Ruyck T., (2018). Multi-label Classification of Member Participation in Online Innovation Communities, European Journal of Operational Research, 270 (2) 761-774.
  • Antioco Michael, Coussement K., (2018). Misreading of consumer dissatisfaction in online product reviews: Writing style as a cause for bias, International Journal of Information Management, 38 (1) 301-310.
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  • Geuens S., Coussement K., De Bock K., (2018). A Framework for Configuring Collaborative Filtering-based Recommendations Derived from Purchase Data, European Journal of Operational Research, 265 (1) 208-218.
  • Coussement K., Lessmann S., Verstraeten G., (2017). A Comparative Analysis of Data Preparation Algorithms for Customer Churn Prediction: A Case Study in the Telecommunication Industry , Decision Support Systems, 95 (March) 27-36.
  • Bequé A., Coussement K., Gayler R., Lessmann S., (2017). Approaches for Credit Scorecard Calibration: An Empirical Analysis, Knowledge-Based Systems, 134 (15) 213-227.
  • Coussement K., Debaere S., De Ruyck T., (2017). Inferior Member Participation Identification in Innovation Communities: The Signaling Role of Linguistic Style Use, Journal of Product Innovation Management, 34 (5) 565-579.
  • Coussement K., Benoit D., Antioco M., (2015). A Bayesian Approach for Incorporating Expert Opinions into Decision Support Systems: A Case Study of Online Consumer-Satisfaction Detection, Decision Support Systems, 79 (November) 24-32.
  • Coussement K., Harrison D., Benoit D., (2015). Improving Direct Mail Targeting Through Customer Response Modelling, Expert Systems with Applications, 42 (22) 8403–8412.
  • Coussement K., Van den Bossche F., De Bock K. W., (2014). Data Accuracy’s Impact on Segmentation Performance: Benchmarking RFM Analysis, Logistic Regression, and Decision Trees, Journal of Business Research, 67 (1) 2751-2758.
  • Coussement K., (2014). Improving Customer Retention Management through Cost-sensitive Learning, European Journal of Marketing, 48 (3/4) 477 - 495.
  • Coussement K., De Bock K. W., (2013). Customer Churn Prediction in the Online Gambling Industry: The Beneficial Effect of Ensemble Learning, Journal of Business Research, 66 (9) 1629-1636.
  • Coussement K., Buckinx W., (2011). A Probability-mapping Algorithm for Calibrating the Posterior Probabilities: A Direct Marketing Application, European Journal of Operational Research, 214 (3) 732-738.
  • De Bock K. W., Coussement K., Van den Poel D., (2010). Ensemble Classification Based on Generalized Additive Models, Computational Statistics & Data Analysis, 54 (6) 1535-1546.
  • Coussement K., Benoit D.F., Van den Poel D., (2010). Improved Marketing Decision Making in a Customer Churn Prediction Context Using Generalized Additive Models, Expert Systems with Applications, 37 (3) 2132-2143.
  • Coussement K., Van den Poel D., (2009). Improving Customer Attrition Prediction by Integrating Emotions from Client/Company Interaction Emails and Evaluating Multiple Classifiers, Expert Systems with Applications, 37 (3) 2132-2143.
  • Coussement K., Van den Poel D., (2008). Improving Customer Complaint Management by Automatic Email Classification Using Linguistic Style Features as Predictors, Decision Support Systems, 44 (4) 370-382.
  • Coussement K., Van den Poel D., (2008). Churn Prediction in Subscription Services: An Application of Support Vector Machines while Comparing Two Parameter-selection Techniques, Expert Systems with Applications, 34 (1) 313-327.
  • Coussement K., Van den Poel D., (2008). Integrating the Voice of Customers Through Call Center Emails into a Decision Support System for Churn Prediction, Information and Management, 45 (3) 164-174.
Books
  • Charry K., Coussement K., Demoulin N., Heuvinck N., (2016) Marketing Research with IBM SPSS Statistics, Routledge,, London.
  • Coussement K., Harrigan P., (2014) All You Need Is True Love (With Your Customers)! A Customer Relationship Management Fairy Tale, Routledge,Ghent University Press,, London., Ghent.
  • Coussement K., De Bock K. W., Neslin S.A., (2013) Advanced Database Marketing: Innovative Methodologies & Applications of Managing Customer Relationships , Routledge,Ghent University Press,Gower Publishing,, London., Ghent., London.
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  • Coussement K., Demoulin N., Charry K., (2011) Marketing Research with SAS Enterprise Guide , Routledge,Ghent University Press,Gower Publishing,Gower Publishing,, London., Ghent., London., Farnham.
Book Chapters
  • Boujena O., Coussement K., De Bock K., (2015), Data Driven Customer Centricity: CRM Predictive Analytics, in: Trends and Innovations in Marketing Information Systems.
  • Coussement K., Benoit D., Poel Dirk Van den, (2015), Preventing Customers from Running Away! Exploring Generalized Additive Models for Customer Churn Prediction, in: The Sustainable Global Marketplace.
  • Coussement K., De Bock K. W., (2013), Ensemble Learning in Database Marketing , in: Advanced Database Marketing: Innovative Methodologies & Applications of Managing Customer Relationships .
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  • Coussement K., De Bock K. W., (2013), Textual Customer Data Handling for Quantitative Marketing Analysis, in: Advanced Database Marketing: Innovative Methodologies & Applications of Managing Customer Relationships.
Research fields
  • Marketing Analytics
  • Data Mining
  • Machine Learning
  • Text Mining
  • Big Data Marketing Analytics
Teaching
Grande Ecole Program:
  • Big data
  • Customer intelligence
HOPE Program :
  • Big data
International MBA :
  • Customer relationship management
MSc in Big Data Analytics for Business :
  • Connected vision tour
  • Business analytics tools-commercial
MSc in Digital Marketing and CRM :
  • Customer intelligence ii: predictive analytics
  • Customer intelligence i: descriptive analytics
  • Introduction to analytical crm
IÉSEG