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Field Experiments
Book chapter

Field Experiments

Veronica Valli, Florian Stahl and Elea McDonnell Feit
Handbook of Market Research, pp 37-65
03 Dec 2021
DOI: https://doi.org/10.1007/978-3-319-57413-4_3

Abstract

A/B test Business optimization Causal inference Digital experiment External validity Field experiment Internal validity Online experiment Randomized experiment Experimental Design
Digitalization of value chains and company processes offers new opportunities to measure and control a firm’s activities and to make a business more efficient by better understanding markets, competitors, and consumers’ behaviors. Among other methodologies, field experiments conducted in online and offline environments are rapidly changing the way companies make business decisions. Simple A/B tests as well as more complex multivariate experiments are increasingly employed by managers to inform their marketing decisions. This chapter explains why field experiments are a reliable way to reveal and to prove that a business action results in a desired outcome and provides guidelines on how to perform such experiments step by step covering issues such as randomization, sample selection, and data analysis. Various practical issues in the design of field experiments are covered with the main focus on causal inference and internal and external validity. We conclude the chapter with a practical case study as well as a brief literature review on recent published articles employing field experiments as a data collection method, providing the reader with a list of examples to consider and to refer to when conducting and designing a field experiment.

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