Once your account is set up and you've started using TAGGRS' GTM Server-side Tracking Hosting, you can take advantage of our Server-side Analytics to measure and analyze the effects of Server-side Tracking. In your dashboard, you will find:
The Requests graph in your Analytics provides an overview of the requests made to a website over a certain time range—from the last 90 days to the past 24 hours, or a custom period.
The calculated number of requests comes directly from activity on your website, including pageviews and data client deployments via Google Tag Manager (such as gtm.js, analytics.js, and gtag.js).
By switching the Show categories toggle in the Requests graph, you can view detailed types of requests and their sources.
The following types of requests are
distinguished:
In the Browser Analytics graph, you get insights into how browser tracking prevention mechanisms impact data collection accuracy, drawing from real-time analysis of website traffic patterns. This is measured by the percentage of users on browsers with built-in tracking prevention—features like those in Intelligent Tracking Prevention.
Select your preferred time range (90, 60, 30, or 7 days, last 24 hours, or custom) to view statistics on traffic affected by tracking prevention across all major browsers except Google Chrome, which lacks such mechanisms. So, the percentage reflects total visitors minus Chrome users. A higher percentage indicates greater data loss from untracked user activity, impacting analytics accuracy and digital marketing effectiveness.
Want to know how much extra data you gain from Server-side Tracking? The TAGGRS Server vs Client Analytics dashboard features a dynamic graph visualizing differences between client-side (web container) and server-side (server container) data, with support for both standard and custom events, essential for agencies tracking activities beyond the default event set.
Depending on your configuration, from the drop-down menu in the top-right corner, you can see events such as:
The graph displays data from both client and server sides, with distinct lines revealing the percentage increase in measurability and additional data captured server-side over your chosen period. This provides you with clear insight into enhanced data quality and completeness.