We recently switched over to using Plausible here at TAP, but discrepancies in reported metrics between these two platforms have left many puzzled.
In this article, we'll explore the differences between Plausible and Google Analytics (GA), and shed light on why we switched, but also potential reasons behind varying numbers in new views, new users, and conversion rates.
Our decision to shift from Google Analytics to Plausible was driven by a combination of factors, including a commitment to your data privacy, open-source principles, resource efficiency, and real-time insights.
In an era where data breaches and privacy concerns are prevalent, we sought an analytics solution that prioritized user privacy.
Plausible's privacy-focused approach, which includes cookie-less tracking and user data control, resonated with our core values of respecting user consent and safeguarding data integrity.
In comparison to the resource-intensive nature of Google Analytics, Plausible's lightweight code is designed for efficiency.
The reduced server load and faster loading times result in a smoother user experience for the visitors
Unravelling the Discrepancies in Metrics:
Different Tracking Methodologies: Cookies vs. Cookie-less
A significant factor contributing to varying numbers is the difference in tracking methodologies.
While GA relies on cookies for tracking user behaviour, Plausible follows a cookie-less tracking approach, utilising modern web technologies such as server logs and JavaScript-based tracking.
As a result, Plausible can capture a broader range of users, including those who block or delete cookies, leading to potentially higher new views and new user counts.
Filtering and Data Sampling: Accuracy vs. Privacy
GA employs robust filtering and data sampling techniques, particularly for high-traffic websites, to efficiently process data. This could lead to some data exclusion or approximation, affecting the reported numbers.
On the other hand, Plausible prioritises user privacy and may not implement extensive filtering or data sampling. This results in raw metrics that might be higher than GA's reported numbers since Plausible presents all available data without aggregating or sampling.
Different User Behaviour: Diverse Browser and Device Interactions
Users on different browsers or devices may block GA tracking or interact differently with websites. Plausible might capture these unique user behaviours more comprehensively, leading to discrepancies in reported metrics.
As we unravel the use of Plausible vs. Google Analytics and explore the discrepancies in reported metrics, we recognise the significance of selecting an analytics solution that aligns with our organisation's values and objectives.
With Plausible, we've found a powerful yet privacy-first analytics partner, empowering us to make data-driven decisions while respecting user privacy and data ownership.
If you have any other questions about our integration with Plausible, don't hesitate to reach out to our team at support@theambassadorplatform.com.