Product Analytics vs Marketing Analytics: What’s the Difference?
“We already have analytics — why would we need another tool?” I hear this constantly, and it usually comes from…
After a decade of building analytics stacks for SaaS companies, I created this site to share honest, hands-on reviews of the tools that actually matter.

I got into analytics over ten years ago at a small SaaS startup where I was the only marketer. With a limited budget and too many tools promising the moon, I had to figure out what actually worked. That meant installing, configuring, and stress-testing every platform I could get my hands on.
What I discovered surprised me: most marketing teams waste a significant chunk of their budget on the wrong analytics tools. They buy enterprise platforms they never fully implement, or they cobble together free tools that leave massive blind spots in their data.
Over the years I built analytics stacks for more than fifteen companies across SaaS, e-commerce, and B2B. I saw the same mistakes repeated everywhere — and the same handful of tools consistently delivering real value. I started documenting what I learned, sharing it with colleagues, and eventually realized this knowledge should be public.
That's why I created SaasAnalytics.io. Every tool reviewed on this site has been personally tested. There is no sponsored content, no pay-for-placement, and no affiliate bias shaping my recommendations. If a tool is good, I say so. If it isn't, I say that too.
I don't accept sponsored content or affiliate payments. Every recommendation is based on real testing.
I don't rewrite press releases. I install, configure, and use every tool before writing about it.
Marketing teams need actionable advice, not academic frameworks. I focus on what you can implement today.
Multi-touch attribution models, first-party data strategies, and cross-channel measurement.
Advanced GA4 configuration, custom reports, BigQuery exports, and migration from Universal Analytics.
GTM server containers, first-party data collection, and ad-blocker-resilient measurement.
Consent management, cookieless tracking, and privacy-first analytics architectures.
Naming conventions, campaign taxonomies, and automated UTM governance at scale.
ETL workflows, warehouse integrations, and real-time data syncs between marketing platforms.
I'd love to hear from you — whether it's about a tool, a tracking setup, or analytics in general.
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