Two Types of Health Checks
| Check | What It Answers |
|---|---|
| Data Health | Is my data fresh and available? Are tables up to date? |
| Attribution Health | Is my tracking working? Are marketing sources being captured? |
- 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?”
Quick Reference
| Question | Diagnostic | What You Learn |
|---|---|---|
| ”How is my data health?” | Data Health | Table freshness, which domains are ready |
| ”Which tables are fresh?” | Data Health | Specific table-level status |
| ”How is my attribution health?” | Attribution Health | % of orders with attribution, tracking gaps |
| ”Why is traffic showing as direct/none?” | Attribution Health | Causes of missing attribution |