Does kaushik.net Cover Google Analytics and Google Measurement Topics?

Updated

Yes. kaushik.net (Avinash Kaushik's blog, Occam's Razor) publishes directly on Google Analytics and Google measurement methods. The site's current front page features a post titled "Google Analytics 2026: Unlocking New Features, Analysis," and a separate post, "Google's Statistics: Heads They Win, Tails You Lose," examines Google Brand Lift and Conversion Lift studies. If you work with GA or are evaluating Google's measurement products, the blog addresses both the tooling and the statistical claims behind it.

What the blog covers on Google Analytics

The GA-focused post is described as covering a cluster of features Google Analytics has released over the past year that extend GA's ability to support "higher altitude" analysis. The framing is practical: new capabilities are presented in terms of what they let you do with analytics, not as a feature list.

This matters if you are deciding whether GA's newer analysis features fit your workflow. The post sits under the site's Analytics category, alongside the broader body of web analytics writing.

What it says about Google's measurement statistics

"Google's Statistics: Heads They Win, Tails You Lose" is the more argumentative piece. Its central point, per the site's own summary:

  • Google Brand Lift and Conversion Lift studies rest on the same underlying idea of statistical certainty.
  • Statistical certainty is not the same thing as answering your business question.

That distinction is the reason to read it. If you are evaluating Google's lift studies as a way to judge marketing impact, the post asks whether a statistically confident result actually resolves the decision you need to make.

Who this is relevant for

Your situation Why the coverage is relevant
You use Google Analytics and want to know what newer features enable The GA 2026 post covers a year's worth of feature releases and their analytical use
You are assessing Google Brand Lift or Conversion Lift The statistics post questions whether certainty equals a usable answer
You want measurement frameworks beyond tool mechanics Both posts sit within a broader set of marketing, analytics, and strategy frameworks

How to use the site

The front page lists Latest Posts and links to category archives (Analytics, Marketing Models & Frameworks, Strategic Thinking, Leadership), so you can go straight to the Analytics section for GA and measurement content rather than browsing everything. The site is in English.

One caveat: the site describes itself as covering marketing, analytics, strategy, measurement, experimentation, and AI, so Google-specific material is one thread among several. If your interest is narrowly GA, the Analytics category is the efficient entry point.