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Glossary
Glossary · P · LAW · AS OF 09/2026

What is profiling?

When does personalisation become profiling?

The GDPR defines profiling as automated processing that uses personal data to evaluate personal aspects of a natural person – in particular to analyse or predict work performance, economic situation, health, personal preferences, interests, reliability, behaviour, location or movements. In marketing, examples include affinity and lead scores or predictions of who is likely to cancel.

For direct marketing, the balancing of interests under Art. 6(1)(f) GDPR is often the legal basis. According to the German supervisory authorities, however, intrusive measures – automated selection procedures for creating detailed profiles, behavioural predictions or analyses that lead to additional insights – tend to indicate that the interests of the data subjects prevail; in that case consent is generally required (DSK guidance on direct marketing, February 2022).

Data subjects can object to processing for direct marketing at any time; this also applies to related profiling (Art. 21(2) GDPR). Art. 22 GDPR protects against decisions based solely on automated processing that have legal or similarly significant effects. Where personal aspects are evaluated systematically and extensively, a data protection impact assessment must be considered (Art. 35 GDPR).

Stadtwerke Musterstadt Example

The selection “Tariff ends in 60 days” uses a contract date and is comparatively unintrusive. A model that predicts each customer’s likelihood of switching from usage and response data, on the other hand, is profiling – with higher requirements for legal basis and transparency.

Distinction

Distinctions: profiling and related terms
TermDifference
Segmentation Division by existing attributes, without a new evaluation
Automated individual decision-making (Art. 22 GDPR) Decision with legal or similarly significant effect; profiling can be its basis
Hyper-personalisation Marketing approach; may include profiling, but does not have to

How the PBM Campaign Platform supports it

Personalisation rules are readable expressions; lead scoring is an explainable points model; for AI functions with predictive control, transparency, human oversight and the ability to switch them off are provided for; every AI action is logged.

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