Why measure? What you do not measure, you cannot improve. Catalog Health turns raw product data into KPIs your team can own and move.
1) Coverage
- Attribute coverage: % of mandatory attributes present per category (e.g., TVs need diagonal, resolution).
- Media coverage: % of SKUs with a valid hero image and ≥ N gallery images meeting min resolution.
2) Consistency
- X-channel drift: % of SKUs where shop value ≠ ERP/feed for key fields (price, stock, title).
- Taxonomy coherence: enum validity & unit normalization checks.
3) Freshness & staleness
- Staleness age: median time since last successful sync per signal (stock, price, content).
- Error budgets: allowable stale % before alerts — define SLAs by business impact.
4) Integrity
- Broken media rate: 4xx/5xx on images or MIME/type mismatches.
- Validation error rate: schema or policy violations by category.
5) Operability
- Alerting: thresholds on drift, staleness age, and error classes.
- Auditability: who changed what & when — tie incidents to specific change sets.
Dashboards that drive action
- Color by priority: red (blocking publish), amber (needs fix), green (OK).
- Click-through to examples and bulk-fix flows (e.g., missing hero images).
Outcome
Teams fix the highest-impact issues first, catalog quality becomes predictable, and search/merch KPIs trend up sustainably.
What's next
Next up: Bulk Fix Workflows — playbooks and UI patterns to remediate common catalog errors fast.