Analytics for customer engagement THA Bijmolt, PSH Leeflang, F Block, M Eisenbeiss, BGS Hardie, ... Journal of service research 13 (3), 341-356, 2010 | 786 | 2010 |
Bagging and boosting classification trees to predict churn A Lemmens, C Croux Journal of Marketing Research, 276-286, 2006 | 552 | 2006 |
In pursuit of enhanced customer retention management: Review, key issues, and future directions E Ascarza, SA Neslin, O Netzer, Z Anderson, PS Fader, S Gupta, ... Customer Needs and Solutions 5, 65-81, 2018 | 261 | 2018 |
Measuring and testing Granger causality over the spectrum: An application to European production expectation surveys A Lemmens, C Croux, MG Dekimpe International Journal of Forecasting 24 (3), 414-431, 2008 | 163 | 2008 |
Managing churn to maximize profits A Lemmens, S Gupta Marketing Science, 2020 | 159 | 2020 |
Consumer sentiment and consumer spending: decomposing the Granger Causal Relationship in the time domain S Gelper, A Lemmens, C Croux Applied Economics 39 (1), 1-11, 2007 | 117 | 2007 |
Sales growth of new pharmaceuticals across the globe: The role of regulatory regimes S Stremersch, A Lemmens Marketing Science 28 (4), 690-708, 2009 | 111 | 2009 |
Consumer confidence in Europe: united in diversity? A Lemmens, C Croux, MG Dekimpe International Journal of Research in Marketing 24 (2), 113-127, 2007 | 92 | 2007 |
On the predictive content of production surveys: A pan-European study A Lemmens, C Croux, MG Dekimpe International Journal of Forecasting 21 (2), 363-375, 2005 | 80 | 2005 |
Bagging a stacked classifier C Croux, K Joossens, A Lemmens Proceedings in Computational Statistics (COMPSTAT2004), 839-846, 2004 | 59* | 2004 |
Dynamics in the International Market Segmentation of New Product Growth A Lemmens, C Croux, S Stremersch International Journal of Research in Marketing, 2011 | 57 | 2011 |
Unveiling the Relationship between the Transaction Timing, Spending and Dropout Behavior of Customers N Glady, A Lemmens, C Croux International Journal of Research in Marketing, 2015 | 25* | 2015 |
Advanced classification and time-series methods in marketing L Aurélie Leuven, KU Leuven, Faculteit Economische en Toegepaste Economische Wetenschappen, 2006 | 21 | 2006 |
Six methods for latent moderation analysis in marketing research: A comparison and guidelines C Pieters, R Pieters, A Lemmens Journal of Marketing Research 59 (5), 941-962, 2022 | 20 | 2022 |
Polymorphisms of the OXTR gene explain why sales professionals love to help customers W Verbeke, RP Bagozzi, WE van den Berg, A Lemmens Frontiers in behavioral neuroscience 7, 171, 2013 | 14 | 2013 |
Batch mode active learning for individual treatment effect estimation Z Puha, M Kaptein, A Lemmens 2020 International Conference on Data Mining Workshops (ICDMW), 859-866, 2020 | 5 | 2020 |
Enhancing Donor Agency to Improve Charitable Giving: Strategies and Heterogeneity E Esterzon, A Lemmens, B Van den Bergh Journal of Marketing 87 (4), 636-655, 2023 | 4 | 2023 |
Le Data Mining comme outil de «customer relationship management» en marketing A Lemmens Mémoire d’ingéniorat, Université libre de Bruxelles, 2004 | 3 | 2004 |
Acquiring Customers via Word-of-Mouth Referrals: A Virtuous Strategy? C Pieters, A Lemmens Marketing Science Institute, 2015 | 1 | 2015 |
Personalization and Targeting: How to Experiment, Learn & Optimize A Lemmens, JMT Roos, S Gabel, E Ascarza, H Bruno, BR Gordon, ... Learn & Optimize (June 27, 2024), 2024 | | 2024 |