Aktuelle Themen für die Bachelor-/Masterarbeit

Predicting share of wallet and share of category requirements using customer loyatly cards

Degree: BSc or MSc

Language: English

Requirements: Basic statistical knowledge

Important note: The title and the following description are merely suggestive. This is a large project and students are expected to focus on a specific component within its larger framework.

Customer loyalty cards provide a great deal of information about customers’ behavior within the company and their increasing usage has enabled companies from a multitude of industries to better suit their customers’ needs. However, one important aspect that is left out is their behavior outside the focal company. Whereas such information can be obtained on an individual level through surveys for a few customers, such an approach is not scalable and does not constitute a viable solution on the long run.

We propose to obtain such information using data augmentation techniques, by combining information extracted from customer loyalty cards with questionnaire data concerning customers’ behavior outside the focal company. By looking at in-store purchase patterns, namely cross category purchasing behaviors, we attempt to predict share of category requirements. From a strategic perspective, such an approach could provide companies with valuable information concerning which customers to target with each product category.

Degree: MSc

Language: English

Requirements: knowledge or affinity to learn R

This project builds on recent research conducted by Institute members and available software implementations of top-notch research in the area of managing customer value. We aim at (i) exploring different (ir-)regularities in customer visitation and purchasing timing patterns in online environments, (ii) to describe them and (iii) to find explanations whether these patterns are merely due to context-dependent or idiosynchratic personal factors (or a combination of both). In addition, this topic will enable students to familiarize with newly developed models for predicting customer lifetime value and to utilize them in various business environments.

Degree: BSc or MSc

Language: English

Requirements: Good understanding of experimental research

There is a mismatch between consumers' stated sustainability principles and their observed purchase behavior. This study attempts to unveil and understand the mechanisms driving such mismatch.

Degree: BSc or MSc

Language: English

Requirements: knowledge in R

This projects’ main goal is to identify and describe the topics mentioned in online reviews, using LDA or CTM algorithms. This means the student must feel comfortable with R and have some curiosity in text mining.

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