Items where Author is "Ascarza, E"

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Number of items: 9.

Article

Padilla, N, Ascarza, E and Netzer, O (2024) The Customer Journey as a Source of Information. Quantitative Marketing and Economics. ISSN 1570-7156 (In Press) OPEN ACCESS

Padilla, N and Ascarza, E (2021) Overcoming the Cold Start Problem of CRM using a Probabilistic Machine Learning Approach. Journal of Marketing Research, 58 (5). pp. 981-1006. ISSN 0022-2437 OPEN ACCESS

Ascarza, E, Ross, M and Hardie, B G S (2021) Why You Aren’t Getting More from Your Marketing AI. Harvard Business Review, 99 (4). pp. 48-54. ISSN 0017-8012

Hardie, B G S, Ascarza, E, Neslin, S A, Netzer, O, Anderson, Z, Fader, P S, Gupta, S, Lemmens, A, Libai, B, Neal, D, Provost, F and Schrift, R (2018) In pursuit of enhanced customer retention management: review, key issues, and future directions. Customer Needs and Solutions, 5 (1-2). pp. 65-81. ISSN 2196-291X OPEN ACCESS

Ascarza, E, Netzer, O and Hardie, B G S (2018) Some Customers Would Rather Leave Without Saying Goodbye. Marketing Science, 37 (1). pp. 54-77. ISSN 0732-2399 OPEN ACCESS

Lambrecht, A, Vilcassim, N and Ascarza, E (2012) When talk is 'free': the effect of tariff structure on usage under two- and three-part tariffs. Journal of Marketing Research, 49 (6). pp. 882-899. ISSN 0022-2437

Book Section

Ascarza, E, Fader, P S and Hardie, B G S (2017) Marketing models for the customer-centric firm. In: Handbook of marketing decision models. International Series in Operations Research & Management Science, 254 . Springer International Publishing, Basel, pp. 297-330. ISBN 9783319569390

Monograph

Padilla, N, Ascarza, E and Netzer, O (2019) The Customer Journey as a Source of Information. Working Paper. Columbia Business School.

Padilla, N and Ascarza, E (2017) Overcoming the Cold Start Problem of CRM using a Probabilistic Machine Learning Approach. Working Paper. Social Science Research Network.

This list was generated on Thu Nov 21 01:09:57 2024 GMT.