Publications

October 2023 (Revised February 2024)
Teaching Note

Managing Customer Retention at Teleko

By: Eva Ascarza and Ta-Wei Huang

Teaching Note for HBS Case No. 523-005. View Details

Keywords: Customer Relationship Management; United States

October 2023 (Revised February 2024)
Technical Note

Design and Evaluation of Targeted Interventions

By: Eva Ascarza and Ta-Wei (David) Huang

Targeted interventions serve as a pivotal tool in business strategy, streamlining decisions for enhanced efficiency and effectiveness. This note delves into two central facets of such interventions: first, the design of potent decision guidelines, or targeting... View Details

Keywords: Marketing; Customer Relationship Management; Analysis; Design; Business Strategy; Retail Industry; Apparel and Accessories Industry; Technology Industry; Financial Services Industry; Telecommunications Industry

Educators

2023
Working Paper

The Customer Journey as a Source of Information

By: Nicolas Padilla, Eva Ascarza and Oded Netzer

In the face of heightened data privacy concerns and diminishing third-party data access, firms are placing increased emphasis on first-party data (1PD) for marketing decisions. However, in environments with infrequent purchases, reliance on past purchases 1PD... View Details

Keywords: Customer Journey; Privacy; Consumer Behavior; Analytics and Data Science; AI and Machine Learning; Customer Focus and Relationships

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September 2023
Supplement

Design and Evaluation of Targeted Interventions

Targeted interventions serve as a pivotal tool in business strategy, streamlining decisions for enhanced efficiency and effectiveness. This note delves into two central facets of such interventions: first, the design of potent decision guidelines, or targeting... View Details

Keywords: Marketing; Design; Business Strategy; Policy; Retail Industry; Apparel and Accessories Industry; Technology Industry; Financial Services Industry; Telecommunications Industry

July 2023 (Revised February 2024)
Supplement

Managing Customer Retention at Teleko

This exercise aims to teach students about 1)Targeting Policies; and 2)Algorithmic decision making, 3) Retention management. View Details

Keywords: Customer Relationship Management; Telecommunications Industry; Technology Industry; United States

June 2023
Simulation

Artea Dashboard and Targeting Policy Evaluation

By: Ayelet Israeli and Eva Ascarza

Companies deploy A/B experiments to gain valuable insights about their customers in order to answer strategic business problems. In marketing, A/B tests are often used to evaluate marketing interventions intended to generate incremental outcomes for the firm. The Artea... View Details

November 2022 (Revised February 2024)
Exercise

Managing Customer Retention at Teleko

This exercise aims to teach students about 1) Targeting Policies; and 2) Algorithmic decision making, and 3) Retention management. View Details

Keywords: Algorithmic Decision Making; Marketing Strategy; Customer Focus and Relationships

August 2022
Background Note

Retail Media Networks

By: Eva Ascarza, Ayelet Israeli and Celine Chammas

In 2022, retail media was one of the fastest growing segments in digital advertising. A retail media network (RMN) allows a retailer to use its assets for advertising. Retailers set up an advertising business by allowing marketers to buy advertising space across their... View Details

Educators

March 2022 (Revised March 2022)
Module Note

Managing Customers in the Digital Era

The last two decades have witnessed incredible technological advances that have transformed the ways customers connect with each other and enabled firms to track customers in multiple ways through various channels to personalize (and automize) their offerings at... View Details

Keywords: Customer Relationship Management; Customer Focus and Relationships; Technological Innovation

Article

Eliminating Unintended Bias in Personalized Policies Using Bias-Eliminating Adapted Trees (BEAT)

By: Eva Ascarza and Ayelet Israeli

An inherent risk of algorithmic personalization is disproportionate targeting of individuals from certain groups (or demographic characteristics such as gender or race), even when the decision maker does not intend to discriminate based on those “protected”... View Details

Keywords: Algorithm Bias; Personalization; Targeting; Generalized Random Forests (GRF); Discrimination; Customization and Personalization; Decision Making; Fairness; Mathematical Methods

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March 2022
Supplement

Allianz Customer Centricity: Is Simplicity the Way Forward?

March 2022
Supplement

Allianz Customer Centricity: Is Simplicity the Way Forward?

March 2022
Teaching Note

Allianz Customer Centricity: Is Simplicity the Way Forward?

Teaching Note for HBS Case No. 522-008. View Details

October 2021
Article

Overcoming the Cold Start Problem of CRM Using a Probabilistic Machine Learning Approach

By: Nicolas Padilla and Eva Ascarza

The success of Customer Relationship Management (CRM) programs ultimately depends on the firm's ability to understand consumers' preferences and precisely capture how these preferences may differ across customers. Only by understanding customer heterogeneity, firms can... View Details

Keywords: Customer Management; Targeting; Deep Exponential Families; Probabilistic Machine Learning; Cold Start Problem; Customer Relationship Management; Programs; Consumer Behavior; Analysis