CorporateStructureNature

A company’s corporate structure indicates whether it is part of a broader corporate group or operates independently. This information is key to understanding its level of autonomy in decision-making and commercial operations.


What is it?

The CorporateStructureNature defines a company’s relationship within a corporate structure. There are three main categories:

  • Parent company: The main entity of a corporate group, with control over other companies (subsidiaries).
  • Subsidiary: A company that is wholly or partially owned by another entity (the parent company) and operates under its control.
  • Independent: A company that does not belong to any higher corporate structure and operates autonomously.

This data point helps identify hierarchy and financial dependency between companies within a market.


What is it for?

For data and B2B sales teams, understanding a company’s corporate structure helps to:

  • Optimise sales strategies by targeting the entity with the highest purchasing power or decision-making authority within a group.
  • Avoid negotiation confusion by identifying whether a company has autonomy or depends on its parent.
  • Improve risk analysis: Subsidiaries may be backed by a strong parent company or, conversely, be more vulnerable during economic downturns.
  • Enrich databases and CRMs: Correctly linking companies within a corporate group improves the quality of client and supplier analysis.

This knowledge supports better commercial and investment decisions.


Classification by country

Each country uses different terms to describe corporate structures, but the concept remains consistent across three categories.

Spain

CodeCorporate structure
ES-MParent company
ES-FSubsidiary
ES-IIndependent

France

CodeCorporate structure
FR-MParent company
FR-FSubsidiary
FR-IIndependent

Italy

CodeCorporate structure
IT-MParent company
IT-FSubsidiary
IT-IIndependent

Mexico

CodeCorporate structure
MX-MParent company
MX-FSubsidiary
MX-IIndependent

This data point improves segmentation accuracy and market analysis.


Examples

No data.