What Is Avinash Kaushik's Blog Occam's Razor About?

Updated

kaushik.net is the personal blog of Avinash Kaushik, published under the name Avinash Kaushik | Marketing, Analytics & Strategy and also referred to as Occam's Razor. It is an English-language site that publishes practical frameworks and commentary on marketing, analytics, strategy, measurement, experimentation, and AI. It is best suited to marketing practitioners, analysts, and growth or strategy professionals who want applied thinking rather than news summaries.

Who runs it and what it covers

The site is authored by Avinash Kaushik, and its stated focus is sharing practical frameworks across marketing, analytics, strategy, measurement, experimentation, and AI. The homepage presents the blog as a collection of articles organized under recurring categories rather than as a product or service.

The main content areas visible on the site are:

  • Analytics — web and digital analytics, key performance indicators, and measurement practice
  • Marketing Models & Frameworks — structured approaches to marketing problems
  • Strategic Thinking — higher-level strategy and decision-making
  • Leadership — how analytics and strategy work inside organizations

What the articles actually discuss

The posts are long-form and argument-driven. Representative examples from the site include:

Article Topic
Google Analytics 2026: Unlocking New Features, Analysis New GA features that extend higher-altitude analysis
Google's Statistics: Heads They Win, Tails You Lose Brand Lift and Conversion Lift studies, and the gap between statistical certainty and answering a real question
Loss Recovery Growth Model: Answer Engine Optimization (AEO) Traffic and revenue loss as search shifts from keywords to questions typed into answer engines
AI Ready? Google Ads Maturity Model Assessing Google Ads maturity in an AI-driven environment
Sports Marketing Measurement Playbook Incrementality and measurement for sports-related media
High-Impact Marketing: Rock Creative Pre-Testing! Pre-testing creative before committing spend
Robust Experimentation and Testing | Reasons for Failure! Why controlled experiments fail in practice
Scapegoating Analysts Recognizing and preventing a bad organizational pattern around analysts

Two things stand out across these titles. First, the site treats measurement as a decision tool, not a reporting exercise — the Google statistics piece explicitly argues that statistical certainty is not the same as answering the question you care about. Second, it follows shifts in how people search and buy, including the move toward answer engines and AI-assisted advertising platforms.

What kind of reader gets value here

This blog fits you if you:

  • Work in digital or web analytics and want frameworks rather than tool tutorials
  • Own marketing measurement, experimentation, or incrementality questions
  • Need language for explaining analytics and strategy to executives
  • Follow how AI and answer engines are changing search, ads, and measurement

It is less useful if you want step-by-step software instructions, breaking industry news, or beginner introductions to analytics tools.

How to use the site

The homepage lists Latest Posts and a Browse All Articles entry point, with category pages for Analytics, Marketing Models & Frameworks, Strategic Thinking, and Leadership. A practical approach:

  1. Start with the category that matches your current problem — for example, Analytics if you are redesigning KPIs.
  2. Read the full article rather than the excerpt, since the arguments build across several paragraphs.
  3. Treat the frameworks as templates to adapt to your own data and constraints, not as fixed recipes.

What the site does not tell you

The available site information does not state pricing, subscription terms, or whether any content sits behind a login. Nothing on the page indicates a paid tier or a required account, but that absence is not confirmation that everything is free or open — check the site directly before relying on access assumptions.