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EMAC 2019 Annual Conference

Understanding Personalized Lifestyle Marketing: An Experimental Approach

Published: May 28, 2019


Tim Boettger, IÉSEG School of Management; Oliver Emrich, Johannes Gutenberg-Universität Mainz; Dennis Herhausen, KEDGE Business School; Leonard Lee, NUS Business School, National University of Singapore


field experiment; machine learning; lifestyle marketing


In contrast to personalized recommendations that focus on products, personalized lifestyle marketing aims to communicate the best-fitting lifestyle content to each individual customer. A highly-controlled field experiment in the domain of furniture retailing links different product preferences with consumers’ lifestyles, infers the preferred style of actual customers from sparse purchase data and demographics through machine learning, and examines the effectiveness of personalized lifestyle marketing in practice. Results indicate that personalized lifestyle marketing stimulates product purchases increasingly over time and leads to a broader choice mode. Thus, we conclude that personalized lifestyle marketing inspires customers to explore new connections between the products as means to realize their value as ends (or higher-level goals), but this process requires intensive deliberation that retailers need to activate for personalized lifestyle marketing to become effective.


The authors thank Donald R. Lehmann, Mario Pandelaere, and Thomas Rudolph for their valuable comments on earlier versions of this manuscript.