Evaluating Personalization - The AB Testing Pitfalls Companies Might Not Be Aware of - A Spotlight on the Automotive Sector Websites

By Maria Esteller-Cucala, Vicenc Fernandez, & Diego Villuendas in type:paper theme:data_drive_decisions

Reference

Esteller-Cucala, M.; Fernandez, V.; Villuendas, D. (2020). Evaluating Personalization - The AB Testing Pitfalls Companies Might Not Be Aware of. A Spotlight on the Automotive Sector Websites. Frontiers in Artificial Intelligence 3-20, ISSN 2624-8212

Abstract

The importance of companies' website as instrument for relationship marketing activities is well-known both in the academia and in the industry. In the last decades, there has been great interest in studying how technology can be used to influence people’s attitudes and motivate behavior change. With this, web personalization has had increasing research and practitioner interest. However, the evaluation of user interaction with companies' websites and personalization effects remains an elusive goal for organizations. Online controlled experiments (A/B tests) are one of the most commonly known and used techniques for this online evaluation. And, while there is clearly value in evaluating personalized features by means of online controlled experiments, there are some pitfalls to bear in mind while testing. In this paper we present five experimentation pitfalls, firstly identified in an automotive company’s website and found to be present in other sectors, that are particularly important or likely to appear when evaluating personalization features. In order to obtain the listed pitfalls, different methods have been used, including literature review, direct, and indirect observation within organizations of the automotive sector and a set of interviews to organizations form other sectors. Finally, the list of five resulting pitfalls is presented and some suggestions are made on how to avoid or mitigate each of them.

Posted on:
January 1, 2020
Length:
1 minute read, 213 words
Categories:
type:paper theme:data_drive_decisions
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