Retention futility: Targeting high-risk customers might be ineffective E Ascarza Journal of marketing Research 55 (1), 80-98, 2018 | 285 | 2018 |
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 | 248 | 2018 |
A joint model of usage and churn in contractual settings E Ascarza, BGS Hardie Marketing Science 32 (4), 570-590, 2013 | 148 | 2013 |
The perils of proactive churn prevention using plan recommendations: Evidence from a field experiment E Ascarza, R Iyengar, M Schleicher Journal of Marketing Research 53 (1), 46-60, 2016 | 130 | 2016 |
Beyond the target customer: Social effects of customer relationship management campaigns E Ascarza, P Ebbes, O Netzer, M Danielson Journal of Marketing Research 54 (3), 347-363, 2017 | 123 | 2017 |
When talk is “free”: The effect of tariff structure on usage under two-and three-part tariffs E Ascarza, A Lambrecht, N Vilcassim Journal of Marketing Research 49 (6), 882-899, 2012 | 113* | 2012 |
Some customers would rather leave without saying goodbye E Ascarza, O Netzer, BGS Hardie Marketing Science 37 (1), 54-77, 2018 | 76 | 2018 |
The value of first impressions: Leveraging acquisition data for customer management N Padilla, E Ascarza Harvard Business School, 2019 | 35* | 2019 |
Marketing models for the customer-centric firm E Ascarza, PS Fader, BGS Hardie Handbook of marketing decision models, 297-329, 2017 | 35 | 2017 |
Why you aren’t getting more from your marketing AI E Ascarza, M Ross, BGS Hardie Harvard Business Review 99 (4), 48-54, 2021 | 17 | 2021 |
Eliminating unintended bias in personalized policies using bias-eliminating adapted trees (BEAT) E Ascarza, A Israeli Proceedings of the National Academy of Sciences 119 (11), e2115293119, 2022 | 11 | 2022 |
The customer journey as a source of information N Padilla, E Ascarza, O Netzer Available at SSRN 4612478, 2023 | 8 | 2023 |
The twofold effect of customer retention in freemium settings E Ascarza, O Netzer, J Runge Columbia Business School Research Paper Forthcoming, 2020 | 8 | 2020 |
Doing More with Less: Overcoming Ineffective Long-Term Targeting Using Short-Term Signals TW Huang, E Ascarza Marketing Science, 2024 | 2* | 2024 |
Overcoming the cold start problem of crm using a probabilistic machine learning approach N Padilla, E Ascarza | 2 | 2019 |
Detecting Routines: Applications to Ridesharing Customer Relationship Management R Dew, E Ascarza, O Netzer, N Sicherman Journal of Marketing Research 61 (2), 368-392, 2024 | 1 | 2024 |
Debiasing Treatment Effect Estimation for Privacy-Protected Data: A Model Audition and Calibration Approach TW Huang, E Ascarza Available at SSRN 4575240, 2023 | 1 | 2023 |
Beat unintended bias in personalized policies E Ascarza, A Israeli Available at SSRN, 2021 | 1 | 2021 |
New Insights From Emerging Types of Retail Loyalty Programs V Stourm University of Pennsylvania, 2016 | 1 | 2016 |
Modelling customer behaviour in contractual settings E Ascarza University of London: London Business School, 2009 | 1 | 2009 |