About Analytics API
Making web analytics accessible, privacy-respecting, and actionable
What I Cover
Privacy-First Analytics
Cookieless tracking, GDPR-compliant setups, and analytics that work without surveillance. Because privacy and insights aren’t mutually exclusive.
Open-Source Tools
Deep dives into Matomo, Plausible, Umami, and alternatives to the Google ecosystem. Self-hosted options, comparisons, and migration guides.
Tracking Implementation
Data layers, tag management, event tracking, and debugging. The technical foundations that make everything else work.
Attribution & Conversion
Multi-touch attribution models, cross-channel measurement, and making sense of the customer journey without oversimplifying.
Data Quality
Filtering spam, detecting anomalies, validating tracking setups. Because bad data leads to bad decisions.
Analytics Fundamentals
Core concepts explained for practitioners. Metrics that matter, reports that inform decisions, and avoiding vanity metrics.
What I Believe
The analytics industry has a problem: too much complexity, too little clarity. Vendors sell features; practitioners need solutions. I write to bridge that gap — sharing what actually works based on real implementations, not theoretical frameworks.
Practical over theoretical — If I haven’t implemented it, I don’t write about it
Privacy by design — User respect isn’t optional; it’s foundational
Vendor-neutral — Recommendations based on fit, not sponsorships
Honest about limitations — Every tool has trade-offs; I’ll tell you what they are
Get in Touch
Have a question about analytics implementation? Want to suggest a topic? I’d love to hear from you.
