Geographic Coverage
Geographic coverage is the extent to which a dataset includes entities within specific regions or countries, with usable fields.
Allocator relevance: Determines whether the platform can support targeting and diligence in the geographies that matter to your mandate.
Expanded Definition
Geographic coverage is meaningful only relative to a defined coverage universe (e.g., “US family offices >$250M AUM”). It should reflect not just entity inclusion but also field usability: decision-makers, mandate, and verified contacts by geography. Coverage often varies dramatically by region due to data availability and opacity.
For allocator intelligence products, segment-level geographic coverage prevents misleading global claims and helps customers set realistic expectations.
How It Works in Practice
Platforms track coverage rates by country/region, plus completeness and verification metrics for critical fields. Users filter targets by geography and expect comparable data quality across those targets.
Decision Authority and Governance
Governance defines how geographic universes are defined and versioned, and how changes are communicated. Without consistent definitions, coverage claims can’t be compared across time.
Common Misconceptions
- “Global coverage” means equal quality everywhere.
- Geographic coverage can be measured without a universe definition.
- Entity presence implies usable contact and mandate data.
Key Takeaways
- Coverage must be region-specific and field-weighted.
- Define a universe to make coverage credible.
- Pair with completeness, accuracy, and freshness.