Event schemas, naming conventions, parameters and validation checklists for product analytics — GA4, GTM/data layer, conversion and lifecycle.
Every product team I’ve worked with eventually starts looking at retention curves. And almost every team gets the…
Lukas Meier
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7 min read
“Can’t we just use legitimate interest?” is the question I hear most often from product teams who want…
Lukas Meier
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8 min read
Cookieless tracking is one of those phrases that means six different things depending on who you ask. Vendors…
Lukas Meier
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7 min read
Reading time: 11 min · Last updated: April 2026 A data layer is the single most important architectural…
Lukas Meier
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7 min read
Most SaaS founders I talk to can name their conversion rate to the second decimal. Almost none can…
Lukas Meier
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7 min read
Every European product team eventually runs into the same legal email: “Has procurement signed the data processing agreement…
Lukas Meier
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7 min read
I’ve seen cohort grids used to justify bad investment decisions at least three times. Each time, the problem…
Lukas Meier
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8 min read
Most analytics implementations I audit have the same problem: the team tracks a hundred events nobody looks at,…
Lukas Meier
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7 min read
Reading time: 10 min · Last updated: March 2026 I once found a misconfigured purchase event that had…
Lukas Meier
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7 min read
Tracking debt is what happens when your event schema keeps growing but nobody cleans it up. Events added…
Lukas Meier
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8 min read