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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How Oxford Online Pharmacy increased data volume by 15% with Duga Digital and server-side Piwik PRO Analytics
Duga Digital’s success story appears as part of our Partner Spotlight series. Oxford Online Pharmacy (OOP) is a family business going back three generations to 1925. Employing experienced pharmacists and healthcare professionals, OOP is committed to translating the values and heritage of the Oxfordshire-based bricks and mortar chemists, online.
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What is PII, non-PII, and personal data? [UPDATED]
Personally identifiable information (PII) and personal data are two classifications of data that often confuse organizations that collect, store and analyze such data. Both terms cover common ground, classifying information that could reveal an individual’s identity directly or indirectly. PII is used in the US, but no specific legal document defines it. The legal system…
Other definitions
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