Practical guides for product analytics
Event schemas, implementation guides, and validation checklists. No fluff — just what you need to set up clean, GDPR-aware tracking.
I’ve watched three product teams in the last year ship tracking that looked fine on paper and returned unusable data in GA4. Every time, the root cause was the same: the tracking spec was written for analysts, not for the… Tracking Specs: How to Write One Engineers Actually Implement
Mobile apps don’t behave like websites. Sessions are shorter, users switch between foreground and background constantly, and half the events you care about — push notifications, permission prompts, app updates — don’t exist on the web at all. If you… Mobile App Event Schema: The Complete Reference
B2B products don’t convert in a single session. A buyer researches for weeks, loops in stakeholders, requests a demo, negotiates a contract, and finally signs — often months after the first touch. Standard e-commerce tracking can’t capture this. You need… B2B Event Schema: The Complete Reference
A complete reference for marketplace analytics. All events — from listing creation to completed transaction — with parameters, data types, and data layer examples you can copy into your tracking plan. Marketplace tracking is fundamentally different from standard e-commerce. You… Marketplace Event Schema: The Complete Reference
A complete reference for content and media analytics. All events — from page engagement to video completion — with parameters, data types, and data layer examples you can copy into your tracking plan. Content sites live and die by engagement… Content & Media Event Schema: The Complete Reference
A complete reference for lead generation analytics. All events — from first form view to SQL handoff — with parameters, data types, and data layer examples you can copy into your tracking plan. Lead gen tracking is deceptively simple. Most… Lead Gen Event Schema: The Complete Reference
A complete reference for SaaS product analytics. All lifecycle events — from signup to churn — with parameters, data types, and data layer examples you can copy-paste into your tracking plan. Most SaaS teams track too little or too much.… SaaS Event Schema: The Complete Reference
Reading time: 9 min · Last updated: February 2026 If you’re running analytics on a European audience, you’ve almost certainly asked this question: which events am I actually allowed to collect? The short answer is — it depends entirely on… GDPR-Compliant Event Tracking: What You Can and Can’t Collect
UTM parameters are the foundation of campaign attribution. Without consistent tagging, your analytics will show fragmented data — “Facebook,” “facebook,” and “fb” appearing as three separate traffic sources when they should be one. This guide covers naming conventions, GA4 channel… UTM Parameters: A Complete Strategy Guide
A consistent naming convention is the foundation of clean analytics data. Without standardized naming, your GA4 reports become cluttered with duplicate events like button_click, Button_Click, and buttonClick — all tracking the same interaction but appearing as separate events. This guide… GA4 Event Naming Conventions: A Practical Guide