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Practice paper

Data granularity enhancements in Google Analytics to better understand visitor behaviour

Fabio Piccigallo
Applied Marketing Analytics: The Peer-Reviewed Journal, 3 (4), 324-338 (2017)
https://doi.org/10.69554/LZSP2262

Abstract

In recent years, Google Analytics has become the most important data analytics tool of the trade for marketing managers, e-commerce specialists, search engine optimisation consultants and webmasters worldwide. For the marketing analyst, however, the tool also has clear limitations, as it is impossible to obtain direct access to its database, which contains the data gathered to provide the reports with which everyone is familiar. Nonetheless, it is possible to increase the granularity of the data using a few lines of JavaScript code. This code is used to replicate part of the logic of the Google Analytics database and to access the underlying data needed to generate more elaborate statistics and, thus, acquire crucial information on the purchasing behaviours and habits of customers and users online.

Keywords: Google Analytics; customer database analytics; visitor behaviour; data integration; distribution analysis

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Author's Biography

Fabio Piccigallo is Marketing Analytics Manager at Data-storytelling.it, where he is in charge of the marketing, customer, site and social media analytics. He is an author, trainer and speaker with over 15 years’ experience in marketing management. Fabio began his career at the Gruppo Editoriale l’Espresso publishing group, after which he founded his own marketing and analytics agency. He now helps clients better understand their business activity through data analytics.

Citation

Piccigallo, Fabio (2017, November 7). Data granularity enhancements in Google Analytics to better understand visitor behaviour. In the Applied Marketing Analytics: The Peer-Reviewed Journal, Volume 3, Issue 4. https://doi.org/10.69554/LZSP2262.

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cover image, Applied Marketing Analytics: The Peer-Reviewed Journal
Applied Marketing Analytics: The Peer-Reviewed Journal
Volume 3 / Issue 4
© Henry Stewart
Publications LLP

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