Two Types of Health Checks
These checks address different concerns:
- Data Health is about your data pipeline — whether data is flowing from source systems to your warehouse
- Attribution Health is about your tracking setup — whether UTM parameters and touchpoints are being captured correctly
A table can be perfectly fresh but still show poor attribution. Conversely, tracking can be excellent but data stale. These are independent issues with different solutions.
When to Run Diagnostics
Before starting an analysis: Ask “How is my data health?” to confirm the tables you need are current. When results look wrong: If numbers seem off, check Data Health first (is the data stale?), then Attribution Health (is tracking capturing sources correctly?). Proactively: Run diagnostics periodically to catch issues before they affect decisions.Diagnostic Reports
Data Health
Check table freshness, availability, and domain readiness. Answers: “Is my data pipeline working?”
Attribution Health
Check UTM coverage, tracking quality, and unattributed traffic. Answers: “Is my marketing attribution accurate?”