Quick answer
Define the business actions first, then the events and parameters needed to describe them. Keep the naming system small, documented and testable.
An event is only useful when someone knows what it means, why it exists, who owns it and how it will be used in a decision.
What I would check first
I would list the primary customer journeys, current events, duplicate names, missing parameters and any events being used as advertising conversions without a clear business definition.
I would also compare analytics events with CRM or operational records so the measurement plan reflects actual outcomes rather than only digital interactions.
Decision framework
Use three layers: interaction events, meaningful milestones and primary business outcomes. Promote only the milestones that deserve reporting or optimization attention.
Keep parameter use consistent. If the same concept is called source in one event and channel in another, reporting becomes harder to trust.
Real-world example
A consultant site might track contact_view, contact_start, contact_submit, qualified_lead and booked_call. The first three describe the digital journey; the last two require a connection to the actual sales process.
That separation prevents a form submission from being mistaken for revenue.
Implementation steps
Create a one-page measurement dictionary with event name, trigger, parameters, owner, destination reports and testing method. Implement the minimum set first, then expand only when a real question requires it.
Retest after site changes, document migrations and use consistent UTMs for campaign traffic.
Common mistakes
Avoid event names that describe technical implementation instead of business meaning, duplicate events from multiple tags, changing names without a migration plan and treating every event as equally important.
Do not build dashboards before agreeing on definitions. A polished dashboard can still report the wrong thing.
Current platform considerations
GA4 distinguishes important user actions from advertising conversions. Use the current Analytics and Google Ads definitions deliberately, and document which events are used for reporting versus bidding.
Attribution and reporting windows can differ across systems, so reconciliation rules should be written down rather than explained ad hoc.
Measurement and business implications
Audit event counts, parameter completeness, duplicate rates, key-event quality and the relationship between digital events and qualified outcomes. The business value comes from better decisions, not from a larger event count.
Use the GA4 conversion audit, UTM tools and Google Ads versus GA4 guide as implementation references.