Cargando…

Measuring user interactions with websites: A comparison of two industry standard analytics approaches using data of 86 websites

This research compares four standard analytics metrics from Google Analytics with SimilarWeb using one year’s average monthly data for 86 websites from 26 countries and 19 industry verticals. The results show statistically significant differences between the two services for total visits, unique vis...

Descripción completa

Detalles Bibliográficos
Autores principales: Jansen, Bernard J., Jung, Soon-gyo, Salminen, Joni
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9140287/
https://www.ncbi.nlm.nih.gov/pubmed/35622858
http://dx.doi.org/10.1371/journal.pone.0268212
_version_ 1784715061205401600
author Jansen, Bernard J.
Jung, Soon-gyo
Salminen, Joni
author_facet Jansen, Bernard J.
Jung, Soon-gyo
Salminen, Joni
author_sort Jansen, Bernard J.
collection PubMed
description This research compares four standard analytics metrics from Google Analytics with SimilarWeb using one year’s average monthly data for 86 websites from 26 countries and 19 industry verticals. The results show statistically significant differences between the two services for total visits, unique visitors, bounce rates, and average session duration. Using Google Analytics as the baseline, SimilarWeb average values were 19.4% lower for total visits, 38.7% lower for unique visitors, 25.2% higher for bounce rate, and 56.2% higher for session duration. The website rankings between SimilarWeb and Google Analytics for all metrics are significantly correlated, especially for total visits and unique visitors. The accuracy/inaccuracy of the metrics from both services is discussed from the vantage of the data collection methods employed. In the absence of a gold standard, combining the two services is a reasonable approach, with Google Analytics for onsite and SimilarWeb for network metrics. Finally, the differences between SimilarWeb and Google Analytics measures are systematic, so with Google Analytics metrics from a known site, one can reasonably generate the Google Analytics metrics for related sites based on the SimilarWeb values. The implications are that SimilarWeb provides conservative analytics in terms of visits and visitors relative to those of Google Analytics, and both tools can be utilized in a complementary fashion in situations where site analytics is not available for competitive intelligence and benchmarking analysis.
format Online
Article
Text
id pubmed-9140287
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-91402872022-05-28 Measuring user interactions with websites: A comparison of two industry standard analytics approaches using data of 86 websites Jansen, Bernard J. Jung, Soon-gyo Salminen, Joni PLoS One Research Article This research compares four standard analytics metrics from Google Analytics with SimilarWeb using one year’s average monthly data for 86 websites from 26 countries and 19 industry verticals. The results show statistically significant differences between the two services for total visits, unique visitors, bounce rates, and average session duration. Using Google Analytics as the baseline, SimilarWeb average values were 19.4% lower for total visits, 38.7% lower for unique visitors, 25.2% higher for bounce rate, and 56.2% higher for session duration. The website rankings between SimilarWeb and Google Analytics for all metrics are significantly correlated, especially for total visits and unique visitors. The accuracy/inaccuracy of the metrics from both services is discussed from the vantage of the data collection methods employed. In the absence of a gold standard, combining the two services is a reasonable approach, with Google Analytics for onsite and SimilarWeb for network metrics. Finally, the differences between SimilarWeb and Google Analytics measures are systematic, so with Google Analytics metrics from a known site, one can reasonably generate the Google Analytics metrics for related sites based on the SimilarWeb values. The implications are that SimilarWeb provides conservative analytics in terms of visits and visitors relative to those of Google Analytics, and both tools can be utilized in a complementary fashion in situations where site analytics is not available for competitive intelligence and benchmarking analysis. Public Library of Science 2022-05-27 /pmc/articles/PMC9140287/ /pubmed/35622858 http://dx.doi.org/10.1371/journal.pone.0268212 Text en © 2022 Jansen et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Jansen, Bernard J.
Jung, Soon-gyo
Salminen, Joni
Measuring user interactions with websites: A comparison of two industry standard analytics approaches using data of 86 websites
title Measuring user interactions with websites: A comparison of two industry standard analytics approaches using data of 86 websites
title_full Measuring user interactions with websites: A comparison of two industry standard analytics approaches using data of 86 websites
title_fullStr Measuring user interactions with websites: A comparison of two industry standard analytics approaches using data of 86 websites
title_full_unstemmed Measuring user interactions with websites: A comparison of two industry standard analytics approaches using data of 86 websites
title_short Measuring user interactions with websites: A comparison of two industry standard analytics approaches using data of 86 websites
title_sort measuring user interactions with websites: a comparison of two industry standard analytics approaches using data of 86 websites
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9140287/
https://www.ncbi.nlm.nih.gov/pubmed/35622858
http://dx.doi.org/10.1371/journal.pone.0268212
work_keys_str_mv AT jansenbernardj measuringuserinteractionswithwebsitesacomparisonoftwoindustrystandardanalyticsapproachesusingdataof86websites
AT jungsoongyo measuringuserinteractionswithwebsitesacomparisonoftwoindustrystandardanalyticsapproachesusingdataof86websites
AT salminenjoni measuringuserinteractionswithwebsitesacomparisonoftwoindustrystandardanalyticsapproachesusingdataof86websites