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- 2023
- Working Paper
Doing More with Less: Overcoming Ineffective Long-Term Targeting Using Short-Term Signals
By: Ta-Wei Huang and Eva Ascarza
Firms are increasingly interested in developing targeted interventions for customers with the best response,
which requires identifying differences in customer sensitivity, typically through the conditional average treatment
effect (CATE) estimation. In theory, to...
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Keywords:
Long-run Targeting;
Heterogeneous Treatment Effect;
Statistical Surrogacy;
Customer Churn;
Field Experiments;
Consumer Behavior;
Customer Focus and Relationships;
AI and Machine Learning;
Marketing
Huang, Ta-Wei, and Eva Ascarza. "Doing More with Less: Overcoming Ineffective Long-Term Targeting Using Short-Term Signals." Harvard Business School Working Paper, No. 23-023, October 2022. (Revised April 2023.)
- 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...
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Keywords:
Customer Management;
Targeting;
Deep Exponential Families;
Probabilistic Machine Learning;
Cold Start Problem;
Customer Relationship Management;
Programs;
Consumer Behavior;
Analysis
Padilla, Nicolas, and Eva Ascarza. "Overcoming the Cold Start Problem of CRM Using a Probabilistic Machine Learning Approach." Journal of Marketing Research (JMR) 58, no. 5 (October 2021): 981–1006.
- April 2021
- Article
A Model of Multi-Pass Search: Price Search Across Stores and Time
By: Navid Mojir and K. Sudhir
In retail settings with price promotions, consumers often search across stores and time. However, the search literature typically only models one pass search across stores, ignoring revisits to stores; the choice literature using scanner data has modeled search across...
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Keywords:
Consumer Search;
Multi-pass Search;
Price Search;
Store Search;
Spatial Search;
Temporal Search;
Spatiotemporal Search;
Dynamic Structural Models;
MPEC;
Price Promotions;
Store Loyalty;
Consumer Behavior;
Price;
Spending;
Marketing;
Mathematical Methods
Mojir, Navid, and K. Sudhir. "A Model of Multi-Pass Search: Price Search Across Stores and Time." Management Science 67, no. 4 (April 2021): 2126–2150.
- 2021
- Working Paper
Information Spillovers in Experience Goods Competition
By: Zhuoqiong Charlie Chen, Christopher Stanton and Catherine Thomas
When experience goods compete, consuming one product can be informative about value for similar untried products. We study a two-period model of duopoly competition in markets that have this feature and where firms can price discriminate between consumers based on...
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Keywords:
Experience Goods;
Competition;
Information;
Valuation;
Consumer Behavior;
Demand and Consumers;
Price
Chen, Zhuoqiong Charlie, Christopher Stanton, and Catherine Thomas. "Information Spillovers in Experience Goods Competition." NBER Working Paper Series, No. 28584, March 2021. (Minor Revise and Resubmit at Management Science.)
- 2020
- Working Paper
Overcoming the Cold Start Problem of CRM Using a Probabilistic Machine Learning Approach
By: 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;
Customer Value and Value Chain;
Consumer Behavior;
Analytics and Data Science;
Mathematical Methods;
Retail Industry
Padilla, Nicolas, and Eva Ascarza. "Overcoming the Cold Start Problem of CRM Using a Probabilistic Machine Learning Approach." Harvard Business School Working Paper, No. 19-091, February 2019. (Revised May 2020. Accepted at the Journal of Marketing Research.)
- September 2016 (Revised September 2017)
- Case
Collage.com: Scaling a Distributed Organization
By: Christopher Stanton and Shikhar Ghosh
Kevin Borders and Joe Golden, co-founders and co-CEOs of Collage.com, must decide how to grow their custom photo-products startup in the face of fierce competition. From 2011 through 2016, the business evolved from a hobby to a startup with $22 million in revenue and...
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Keywords:
Remote Work;
Internet and the Web;
Organizational Structure;
Competitive Strategy;
Employees;
Business Startups;
Growth and Development Strategy;
Consumer Products Industry;
Service Industry
Stanton, Christopher, and Shikhar Ghosh. "Collage.com: Scaling a Distributed Organization." Harvard Business School Case 817-038, September 2016. (Revised September 2017.)
- March 2016
- Article
To Groupon or Not to Groupon: The Profitability of Deep Discounts
By: Benjamin Edelman, Sonia Jaffe and Scott Duke Kominers
We examine the profitability and implications of online discount vouchers, a relatively new marketing tool that offers consumers large discounts when they prepay for participating firms' goods and services. Within a model of repeat experience good purchase, we examine...
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Keywords:
Voucher Discounts;
Groupon;
Experience Goods;
Repeat Purchase;
Internet and the Web;
Marketing Strategy;
Marketing Communications
Edelman, Benjamin, Sonia Jaffe, and Scott Duke Kominers. "To Groupon or Not to Groupon: The Profitability of Deep Discounts." Marketing Letters 27, no. 1 (March 2016): 39–53. (First circulated in June 2011. Featured in Working Knowledge: Is Groupon Good for Retailers? Excerpted in HBR Blogs: To Groupon or Not To Groupon: New Research on Voucher Profitability.)
- February 1994
- Article
The Effects of Advertising on Brand Switching and Repeat Purchasing
By: J. A. Deighton, C.M. Henderson and S. Neslin
Deighton, J. A., C.M. Henderson, and S. Neslin. "The Effects of Advertising on Brand Switching and Repeat Purchasing." Journal of Marketing Research (JMR) 31 (February 1994).