Leveraging Digital Advertising Platforms for Consumer Research

Publication Date

10-1-2023

Abstract

Digital advertising platforms have emerged as a widely utilized data source in consumer research, yet the interpretation of such data remains a source of confusion for many researchers. This paper aims to address this issue by offering a comprehensive and accessible review of four prominent data collection methods proposed in the marketing literature: “informal studies,” “multiple-ad studies without holdout,” “single-ad studies with holdout,” and “multiple-ad studies with holdout.” By outlining the strengths and limitations of each method, we aim to enhance understanding regarding the inferences that can and cannot be drawn from the collected data. Furthermore, we present seven recommendations to effectively leverage these tools for programmatic consumer research. These recommendations provide guidance on how to use these tools to obtain causal and non-causal evidence for the effects of marketing interventions, and the associated psychological processes, in a digital environment regulated by targeting algorithms. We also give recommendations for how to describe the testing tools and the data they generate, and urge platforms to be more transparent on how these tools work.

Document Type

Article

Keywords

A/B testing, experimental design, online advertising, consumer behavior, online experiments, field experiments

Disciplines

Marketing

DOI

10.2139/ssrn.4589567

Source

SMU Cox: Marketing (Topic)

Language

English

Share

COinS