Loyalty and CRM-derived data

Loyalty and CRM data is rich first-party insight, and sharing or combining it is tightly governed. This guide covers loyalty and CRM-derived data responsibly.

Why this data matters

Loyalty and CRM data captures real customer behaviour, valuable for insight and, when shared appropriately, for measurement and enrichment. But it is personal and consent-bound.

Consent and privacy

Customer data is personal, and its use, especially sharing or combining with external data, depends on the consent and lawful basis under which it was collected. The GDPR governs throughout.

Safe collaboration

Where organisations want to combine customer data, data clean rooms and privacy-preserving techniques enable measurement and matching without exposing raw records.

Common use cases

Aggregated customer insight, measurement and audience overlap (via clean rooms), and enrichment within consent.

Sourcing considerations

The consent basis and provenance are central, and aggregation or privacy-preserving methods are usually required for external use. Over-reach here is a major risk.

In a managed model

A managed partner can enable lawful collaboration and enrichment around loyalty data, using clean rooms and privacy-preserving methods.

Consent-bound and safe collaboration

Loyalty and CRM data is rich first-party insight, but it is personal and its use, especially sharing or combining with external data, depends on the consent it was collected under, with the GDPR governing throughout. Data clean rooms and privacy-preserving techniques enable collaboration without exposing raw records.

Aggregate for external use

The consent basis and provenance are central, and aggregation or privacy-preserving methods are usually required for external use; over-reach is the major risk.

Sources & further reading

• EUR-Lex: Regulation (EU) 2016/679 (GDPR) and ePrivacy.
• EDPB: guidance on consent and data sharing.
• Industry data clean-room references.
• Internal practice: DataSupplier collaboration.