Why analytics tools never show the same numbers?
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Analytics tools rarely show identical numbers, and this post explains why. Key factors include cookie consent requirements, ad-blocker and browser script blocking, differing metric definitions (clicks vs visits vs impressions), bot filtering approaches, data modeling vs raw measurement, and implementation issues. The post walks through five comparison categories: Plausible vs other web analytics tools (e.g., GA4), vs search tools (GSC), vs ad platforms, vs email campaign tools, and vs server logs/hosting dashboards. Each category explains the structural reasons for discrepancies. The practical takeaway is to pick one primary analytics tool, use others for complementary context, and focus on trends rather than matching absolute numbers across tools.
Table of contents
What makes analytics numbers differ?Category 1: Comparing Plausible data with other web analytics toolsCategory 2: Understanding the difference between Plausible and search data toolsCategory 3: Why ad platform clicks don’t match what you see in PlausibleCategory 4: Why email campaign clicks and Plausible visits don’t alignCategory 5: Why hosting dashboards and server logs show higher numbersMaking sense of it allSort: