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Platform-specific implementation guides and tool comparisons.

Illustration of a hand signing a document, representing a data retention policy

Data Retention for Analytics: How Long Should You Keep Event Data?

Data retention is the analytics question almost nobody asks until a regulator or a security review forces it. Teams obsess over what to collect and how to model it, then quietly keep every raw event forever “just in case.” Under… 

3D illustration of structured data blocks connected as nodes, representing an event taxonomy

Event Taxonomy: Structuring a Tracking Plan That Scales

Event taxonomy is the difference between an analytics setup you can reason about in year three and a graveyard of events nobody remembers creating. Most tracking plans don’t fail at launch — they fail slowly, as each new feature ships… 

Abstract fingerprint and privacy icons, representing data protection in a healthtech product

Healthtech Event Schema: Tracking Without Touching Health Data

Healthtech is the vertical where a single careless event parameter can turn a product-analytics dataset into a regulated health record. Under the GDPR, data about someone’s health is a special category — Article 9 — with protections far stricter than… 

Developer workspace with dual monitors showing data layer architecture code

Data Layer Architecture: Best Practices for Any Platform

Reading time: 11 min · Last updated: April 2026 A data layer is the single most important architectural decision in your analytics stack. Get it right, and switching analytics tools takes hours. Get it wrong, and every tracking change requires… 

Event Tracking QA Checklist: How to Validate Before Launch

Reading time: 10 min · Last updated: March 2026 I once found a misconfigured purchase event that had been sending wrong revenue data for 3 months. The client had made business decisions based on €240K of phantom revenue. That’s why… 

Messy desk with sticky notes and strategy planning documents representing accumulating tracking debt

Tracking Debt: How It Accumulates and How to Pay It Down

Tracking debt is what happens when your event schema keeps growing but nobody cleans it up. Events added two years ago still fire from zombie code. Three different PMs have named the same action three different ways. Your dashboard shows… 

Ecommerce growth chart with recurring revenue hologram representing subscription event schema

Subscription Event Schema: The Complete Reference

Subscription businesses run on five revenue metrics — MRR, trial-to-paid, expansion, churn, and reactivation — and every one of them is built from the events below. When I joined a Berlin SaaS client in 2023, their billing system fired four… 

3D sales funnel showing acquisition tracking stages from awareness to conversion

Acquisition Tracking: Events, Attribution, and What to Measure First

Reading time: 9 min · Last updated: March 2026 Acquisition is the funnel stage that gets the most budget and the worst tracking. Teams spend thousands on ads but can’t tell you which channel actually brought their best customers. I’ve… 

Cybersecurity shield representing Google Consent Mode v2 implementation

Consent Mode v2: Implementation Guide for European Teams

Reading time: 10 min · Last updated: February 2026 Google’s Consent Mode v2 became mandatory for EU advertisers in March 2024. If you’re running GA4 or Google Ads in Europe and haven’t implemented it yet, you’re losing data — and…