खोजी परिणाम
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Artea: Designing Targeting Strategies
This collection of exercises aims to teach students about 1)Targeting Policies; and 2)Algorithmic bias in marketing-implications, causes, and possible solutions. Part (A) focuses on A/B testing analysis and targeting. Parts (B),(C),(D) Introduce algorithmic bias. The exercises are designed such that... थप
Language: ENGप्रतिलिपि अधिकार 2020 -
Amazon Shopper Panel: Paying Customers for Their Data
This case introduces a new Amazon program that has consumers upload their receipts from transactions outside of Amazon, in exchange for money. Through the discussion, the case aims to explore issues in customers' privacy in the digital age, the value of customers' own data, and the change in regulat... थप
Language: ENGप्रतिलिपि अधिकार 2021 -
Allianz Customer Centricity: Is Simplicity the Way Forward?
This case explores the tradeoffs between product personalization and simplicity as companies grow. The case presents an opportunity to understand whether and how each of these approaches enables and/or limits companies' abilities to provide customer satisfaction while being efficient in their operat... थप
Language: ENGप्रतिलिपि अधिकार 2021 -
Language: ENGप्रतिलिपि अधिकार 2020
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Algorithmic Bias in Marketing
This note focuses on algorithmic bias in marketing. First, it presents a variety of marketing examples in which algorithmic bias may occur. The examples are organized around the 4 P's of marketing - promotion, price, place and product-characterizing the marketing decision that generates the bias and... थप
Language: ENGप्रतिलिपि अधिकार 2020 -
Artea (D): Discrimination through Algorithmic Bias in Targeting
This collection of exercises aims to teach students about 1)Targeting Policies; and 2)Algorithmic bias in marketing-implications, causes, and possible solutions. Part (A) focuses on A/B testing analysis and targeting. Parts (B),(C),(D) Introduce algorithmic bias. The exercises are designed such that... थप
Language: ENGप्रतिलिपि अधिकार 2020 -
Artea (C): Potential Discrimination through Algorithmic Targeting
This collection of exercises aims to teach students about 1)Targeting Policies; and 2)Algorithmic bias in marketing-implications, causes, and possible solutions. Part (A) focuses on A/B testing analysis and targeting. Parts (B),(C),(D) Introduce algorithmic bias. The exercises are designed such that... थप
Language: ENGप्रतिलिपि अधिकार 2020 -
Language: ENGप्रतिलिपि अधिकार 2020
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Language: ENGप्रतिलिपि अधिकार 2019
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Retail Media Networks
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 different channels, such as the... थप
Language: ENGप्रतिलिपि अधिकार 2022