Sector Coverage
Sector coverage is how well a dataset captures entities and signals across specific industries, including usable mandate and activity fields.
Allocator relevance: Determines whether you can reliably target allocators by sector focus and avoid false-fit outreach.
Expanded Definition
Sector coverage should be measured against a defined coverage universe and evaluated by field quality: not just “is the sector tagged,” but whether sector preference is evidenced, current, and tied to decision-makers and mandates. Sector coverage varies by region and allocator type, and it can be distorted by stale or generic labels.
In allocator intelligence, sector coverage is strongest when it is evidence-weighted and refresh-cadenced.
How It Works in Practice
Platforms define sector taxonomies, map entities to sectors using observable signals, and attach confidence + recency. Users filter for targets by sector focus and validate through profile-level evidence.
Decision Authority and Governance
Governance defines taxonomy rules, evidence thresholds, and update cadence. Without governance, sector tags become inconsistent and reduce trust.
Common Misconceptions
- Sector tags are stable for years.
- One sector tag is enough (many allocators are multi-sector with preference tiers).
- Coverage means equality of quality across sectors.
Key Takeaways
- Sector coverage must be evidence-based and current.
- Taxonomy consistency is key for trust.
- Pair with mandate fit and decision authority.