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A click is a technical fact. Understanding why you want to measure it is the first step towards useful tracking.
The blog
Ideas, examples and questions for designing clearer measurement. Eight introductory reads, written for this laboratory.
8 results
A click is a technical fact. Understanding why you want to measure it is the first step towards useful tracking.
Stable names and clear parameters keep events understandable even when the layout changes.
List, product, cart and order must all talk about the same object. Identifiers make the difference.
Pressing a button in the banner and updating the consent state are two distinct steps to observe.
When an event is missing, work through the layers. Changing several things at once makes it hard to know what fixed it.
A table of events is not yet a report. Before the metrics, understand the schema and the granularity.
A readable pipeline tells you where the data comes from and which transformation it went through.
A metric becomes useful when different people can reconstruct the same result.
THE NEXT STEP
Explore the demo resources and build your own method, one exercise at a time.