Wharton Customer Analytics Analytics Accelerator Case Study Two Prices Diverge in the Wood: Using Random Forest Modeling to Optimize Price Recommendations About Essity Essity is a global hygiene and health company, with its headquarters in Stockholm, Sweden. The products portfolio contains one-use products such as tissue paper, baby diapers, feminine…Read More
Research
Demand Prediction for IoT Devices
Wharton Customer Analytics Analytics Accelerator Case Study Demand Prediction for IoT Devices About TE Connectivity TE Connectivity is a technology company that designs and manufactures connectivity and sensor products (IOT devices) for harsh environments in a variety of industries, such as automotive, industrial equipment, data communication systems, aerospace, defense, medical,…Read More
2020 EA Datathon
Wharton Customer Analytics Datathon Case Study Discovering New Customers and Game Usage via New Data Lenses About Electronic Arts Electronic Arts Inc. (EA) is a global leader in digital interactive entertainment. EA develops and delivers games, content, and online services for Internet-connected consoles, mobile devices, and personal computers. EA has…Read More
Identifying Key Customers and Industries through Customer Lifetime Value (CLV) Modeling and Regression Analysis
Wharton Customer Analytics Datathon Case Study Identifying Key Customers and Industries through Customer Lifetime Value (CLV) Modeling and Regression Analysis About the Datathon Twenty self-formed teams comprised of approx. 80 Penn/Wharton students were provided the same core set of Ryder System, Inc., customer data at the contract level to model…Read More
Sweet Solutions to Advertising Questions
Wharton Customer Analytics Analytics Accelerator Case Study Sweet Solutions to Advertising Questions About the Analytics Accelerator Every fall and spring semester, Wharton Customer Analytics hosts the Analytics Accelerator, an experiential learning program that pairs students with a company to solve a real-world business problem using the company’s actual datasets and…Read More
Uncovering Characteristic Response Paths of a Population
Wharton Customer Analytics Research Paper Series Uncovering Characteristic Response Paths of a Population We propose an approach to uncover characteristic response paths of a population from an individual-level multivariate time series dataset. The approach is based on a model that accommodates arbitrary and mixed set of distributions for the endogenous…Read More 2019 Evite Datathon
Wharton Customer Analytics Datathon Case Study Download Printable Version Driving Revenue Through Guest-To-Host Conversion Datathon Overview Twenty self-formed student teams were provided the same core set of Evite user data, which comprised of seasonal events (i.e., BBQs, holiday parties), annual events (i.e., Father’s Day, birthday parties), and date-specific events (i.e.,…Read More
All Ads Are Not Created Equal: Display Advertisement’s Copy and Placement Effects on Clicks and Conversions
Wharton Customer Analytics Research Paper Series All Ads Are Not Created Equal: Display Advertisement’s Copy and Placement Effects on Clicks and Conversions In today’s media ecosystem, advertisers face the challenge to create ad campaigns with the ability to engage consumers and ultimately increase conversions. Hence, they need guidance on how…Read More Measuring the Impact of a Single Negative Customer Review on Online Search and Purchase Decisions
Wharton Customer Analytics Research Paper Series Measuring the Impact of a Single Negative Customer Review on Online Search and Purchase Decisions How much does a single negative customer review impact online search and purchase behavior? To answer this question, the authors compare choices made by consumers searching for a product…Read More Leveraging Loyalty Programs Using Competitor Based Targeting
Wharton Customer Analytics Research Paper Series Leveraging Loyalty Programs Using Competitor Based Targeting Loyalty programs are widely used by firms but their effectiveness is subject to debate. These programs provide discounts and perks to loyal customers and are costly to administer, and with uncertain effectiveness at increasing spending or stealing…Read More