Log analytics, one of the earliest methods for server-side tracking, involves analyzing log data from your website. By using specialized software, you can import server-side logs from your web server to retrieve records that match specific criteria, helping you identify trends and analyze patterns in user behavior.
However, the information collected through server logs is more limited compared to client-side JavaScript data. Server logs don’t capture details like browser plugins, screen resolutions, or page titles, which can be valuable for analysis. Additionally, identifying visitors is more challenging because server logs don’t store information about cookies set in the user’s browser.
Lastly, maintaining log analytics is more difficult compared to newer methods like client-side and server-side tracking. Because of these challenges, log analytics is typically used by institutions that, for various reasons, cannot utilize the more convenient tracking technologies.
To learn more about data tracking methods in analytics, read this post: Server-side tracking and server-side tagging: The complete guide.
Log analytics
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First-party analytics without consent: Your Digital Omnibus compliance guide
The Digital Omnibus is the European Commission’s simplification initiative to modernize the EU’s digital rulebook and reduce consent fatigue. The framework would enable first-party analytics without consent when specific criteria are met, ending years of uncertainty about the use of legitimate interest for web statistics.
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University website personalization: First-party data strategies for student recruitment and retention
University websites receive millions of visits annually from diverse audiences – prospective students, admitted students weighing their options, current undergraduates, graduate students, parents, alumni, and faculty. Yet most institutions serve identical content to all these visitors, missing critical opportunities to engage each audience with relevant information.
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