16 August 2025 · 4 min read
Define the taxonomy first
A written naming convention and a schema for properties, agreed before instrumentation, prevents the most common analytics failure: unusable data.
Review new events against the schema before they ship.
One product analytics tool
Multiple tools with different definitions produce different numbers and endless reconciliation. Pick one and make it authoritative.
Export raw events to your warehouse so you are never locked in.
Server-side where it matters
Client-side tracking loses a meaningful share of events to blockers and network failures. Track revenue-critical events server-side.
Reconcile client and server counts periodically to know your loss rate.
Where to go from here
If you are weighing analytics setup for an upcoming project, the useful next step is usually a short scoping conversation rather than a longer article. Bring your constraints — budget, timeline, existing systems, and the team you already have — and the decision usually resolves itself in an hour.
We run these as a fixed-scope discovery session with a written recommendation at the end, including the cases where our advice is that you do not need us.
Working on something like this?
Send us the brief. We will tell you what we would build, what we would cut, and roughly what it costs.
Talk to us