Volgen
Aurelie Lemmens
Aurelie Lemmens
Full Professor of Customer Analytics, Rotterdam School of Management
Geverifieerd e-mailadres voor rsm.nl - Homepage
Titel
Geciteerd door
Geciteerd door
Jaar
Analytics for customer engagement
THA Bijmolt, PSH Leeflang, F Block, M Eisenbeiss, BGS Hardie, ...
Journal of service research 13 (3), 341-356, 2010
8102010
Bagging and boosting classification trees to predict churn
A Lemmens, C Croux
Journal of Marketing Research, 276-286, 2006
5662006
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
2822018
Managing churn to maximize profits
A Lemmens, S Gupta
Marketing Science, 2020
1692020
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
1642008
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
1192007
Sales growth of new pharmaceuticals across the globe: The role of regulatory regimes
S Stremersch, A Lemmens
Marketing Science 28 (4), 690-708, 2009
1122009
Consumer confidence in Europe: united in diversity?
A Lemmens, C Croux, MG Dekimpe
International Journal of Research in Marketing 24 (2), 113-127, 2007
932007
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
802005
Bagging a stacked classifier
C Croux, K Joossens, A Lemmens
Proceedings in Computational Statistics (COMPSTAT2004), 839-846, 2004
61*2004
Dynamics in the International Market Segmentation of New Product Growth
A Lemmens, C Croux, S Stremersch
International Journal of Research in Marketing, 2011
582011
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
31*2015
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
212022
Advanced classification and time-series methods in marketing
L Aurélie
Leuven, KU Leuven, Faculteit Economische en Toegepaste Economische Wetenschappen, 2006
212006
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
142013
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
72023
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
52020
Le Data Mining comme outil de «customer relationship management» en marketing
A Lemmens
Mémoire d’ingéniorat, Université libre de Bruxelles, 2004
32004
Acquiring Customers via Word-of-Mouth Referrals: A Virtuous Strategy?
C Pieters, A Lemmens
Marketing Science Institute, 2015
12015
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
Het systeem kan de bewerking nu niet uitvoeren. Probeer het later opnieuw.
Artikelen 1–20