What good analytics setup looks like on day one
Analytics should answer business questions, not drown you in charts. Start with a few events that map to real decisions.
Teams often treat analytics like a checkbox. Install the tag, open the dashboard once, feel briefly overwhelmed and go back to guessing. The tool is not the problem. The setup is.
Day-one analytics should connect to decisions someone will actually make. Which offer converts? Where do users abandon the form? Which pages support sales conversations? Which campaigns bring qualified enquiries instead of noise? If an event does not inform a choice, it can wait.
Keep naming disciplined. Consistent event names, documented definitions and a shared understanding of what counts as a conversion. Otherwise you end up with three versions of submit clicked and a quarterly argument about whose numbers are right.
Respect privacy while you are at it. Consent banners, sensible data retention and avoiding creepy over-collection are not obstacles to good measurement. They are part of building trust, especially if you operate in the UK or EU.
A lean, well-instrumented site beats a bloated tag manager firing everything at once. Start small, verify the data against reality and expand when the team is actually using what you built.