Endogeneity in empirical marketing research is an increasingly discussed topic in academic
research. Mentions of endogeneity and related procedures to correct for it have risen 5x …

The authors provide a critical examination of marketing analytics methods by tracing their
historical development, examining their applications to structured and unstructured data …

The amount of digital text-based consumer review data has increased dramatically and
there exist many machine learning approaches for automated text-based sentiment analysis …

Mixture regression models are an important method for uncovering unobserved
heterogeneity. A fundamental challenge in their application relates to the identification of the …

Sentiment is fundamental to human communication. Countless marketing applications mine
opinions from social media communication, news articles, customer feedback, or corporate …

Modern marketing techniques in industrialized countries cannot be implemented without
segmentation of the potential market. Goods are no longer produced and sold without a …

Latent GOLD 4.0 Basic implements the most important types of latent class (LC) and finite
mixture (FM) models in three modules called Cluster, DFactor, and Regression. The …

The authors investigate the impact of product assortments, along with convenience, prices,
and feature advertising, on consumers' grocery store choice decisions. Extending recent …

In this article, the authors explore the bagging and boosting classification techniques. They
apply the two techniques to a customer database of an anonymous US wireless …

This research models the dynamics of customer relationships using typical transaction data.
Our proposed model permits not only capturing the dynamics of customer relationships, but …