This simple switch in analytics tools helped us understand user behavior way more deeply.

This simple switch in analytics tools helped us understand user behavior way more deeply.
This simple switch in analytics tools helped us understand user behavior way more deeply.

I recently set up Google Analytics and PostHog for a project, both for web and product analytics.

🔍 What I was trying to answer:

How are users actually using our product, week to week?

🛠️ Tools used:

Google Analytics + PostHog

🤯 What I found:

While GA is great for general traffic insights (and scales easily), PostHog totally changed how we track product usage.

With custom DAU/WAU definitions, weekly cohorts, and powerful tools like session replays, error tracking, and even surveys, it gave us the full picture.

🚀 Impact:

Stakeholders could finally make decisions without guessing. Product direction became data-informed, not intuition-led.

And the best part? PostHog is super founder-friendly, no deep tech skills needed to get insights.

If I had to pick just one tool for a startup or product-led team: PostHog wins.

If you’re exploring product analytics or want dev-focused insights, let’s connect!

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