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Evaluating Personalization: The AB Testing Pitfalls Companies Might Not Be Aware of—A Spotlight on the Automotive Sector Websites
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 c...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7861249/ https://www.ncbi.nlm.nih.gov/pubmed/33733139 http://dx.doi.org/10.3389/frai.2020.00020 |
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author | Esteller-Cucala, Maria Fernandez, Vicenc Villuendas, Diego |
author_facet | Esteller-Cucala, Maria Fernandez, Vicenc Villuendas, Diego |
author_sort | Esteller-Cucala, Maria |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7861249 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-78612492021-03-16 Evaluating Personalization: The AB Testing Pitfalls Companies Might Not Be Aware of—A Spotlight on the Automotive Sector Websites Esteller-Cucala, Maria Fernandez, Vicenc Villuendas, Diego Front Artif Intell Artificial Intelligence 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. Frontiers Media S.A. 2020-04-09 /pmc/articles/PMC7861249/ /pubmed/33733139 http://dx.doi.org/10.3389/frai.2020.00020 Text en Copyright © 2020 Esteller-Cucala, Fernandez and Villuendas. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Artificial Intelligence Esteller-Cucala, Maria Fernandez, Vicenc Villuendas, Diego Evaluating Personalization: The AB Testing Pitfalls Companies Might Not Be Aware of—A Spotlight on the Automotive Sector Websites |
title | Evaluating Personalization: The AB Testing Pitfalls Companies Might Not Be Aware of—A Spotlight on the Automotive Sector Websites |
title_full | Evaluating Personalization: The AB Testing Pitfalls Companies Might Not Be Aware of—A Spotlight on the Automotive Sector Websites |
title_fullStr | Evaluating Personalization: The AB Testing Pitfalls Companies Might Not Be Aware of—A Spotlight on the Automotive Sector Websites |
title_full_unstemmed | Evaluating Personalization: The AB Testing Pitfalls Companies Might Not Be Aware of—A Spotlight on the Automotive Sector Websites |
title_short | Evaluating Personalization: The AB Testing Pitfalls Companies Might Not Be Aware of—A Spotlight on the Automotive Sector Websites |
title_sort | evaluating personalization: the ab testing pitfalls companies might not be aware of—a spotlight on the automotive sector websites |
topic | Artificial Intelligence |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7861249/ https://www.ncbi.nlm.nih.gov/pubmed/33733139 http://dx.doi.org/10.3389/frai.2020.00020 |
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