Event schemas, naming conventions, parameters and validation checklists for product analytics — GA4, GTM/data layer, conversion and lifecycle.
Feature adoption metrics answer a question that ships-it culture loves to avoid: did anyone actually use the thing we built? Teams celebrate a launch, watch a release-day spike, and move…
Lukas Meier
·Jun 13, 2026
·6 min read
Data retention is the analytics question almost nobody asks until a regulator or a security review forces it.…
Lukas Meier
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6 min read
Event taxonomy is the difference between an analytics setup you can reason about in year three and a…
Lukas Meier
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5 min read
North Star Metrics get picked in a hurry and regretted at leisure. A team needs “one number to…
Lukas Meier
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6 min read
Healthtech is the vertical where a single careless event parameter can turn a product-analytics dataset into a regulated…
Lukas Meier
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6 min read
Pseudonymization and anonymization get used interchangeably in analytics meetings, and that confusion is expensive. The two terms have…
Lukas Meier
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6 min read
Fintech is the vertical where analytics and compliance collide hardest. The events that matter most to the business…
Lukas Meier
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8 min read
By the time a SaaS user cancels, you’ve already lost. The cancellation is the announcement, not the decision…
Lukas Meier
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7 min read
The week before a product launch is the worst possible time to discover that your tracking is leaking…
Lukas Meier
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7 min read
The most common analytics disaster I get called in to fix isn’t broken tracking — it’s tracking that…
Lukas Meier
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7 min read