PayPal collects and uses inferred data derived from transaction history, service interactions, and Partner and Merchant interactions to generate attributes including gender, income estimates, creditworthiness assessments, fraud and risk scores, and shopping behavior profiles.
This analysis describes what PayPal's agreement states, permits, or reserves. It does not constitute a legal determination about enforceability. Regulatory applicability and practical outcomes may vary by jurisdiction, enforcement context, and individual circumstances. Read our methodology
The inferred data category, which includes income and creditworthiness inferences, is disclosed as a basis for profiling used in Automated Decision Making, personalized shopping sharing with Partners and Merchants, and targeted advertising. Compliance teams should note that inferred characteristics of protected classifications such as gender derived from behavioral data may engage additional regulatory frameworks.
⚠ Inferred data including income estimates, creditworthiness assessments, and behavioral profiles will continue to be used for personalized advertising, partner data sharing, and automated decision inputs as described in the policy
Cross-platform context
See how other platforms handle Inferred Data Collection and Use for Profiling and similar clauses.
Compare across platforms →"Inferred data : Such as gender, income, browsing and purchasing habits, creditworthiness, fraud and risk assessment, your preferences and shopping behavior, which we may infer based on your transactions and interactions with our Services, ads and offers or with our Partners and Merchants.Excerpt from PayPal's Privacy Statement
1) REGULATORY LANDSCAPE: The collection and use of inferred data including income, creditworthiness, and behavioral profiles engages the Fair Credit Reporting Act if used in credit decisions, GDPR Articles 5 and 22 regarding profiling and …
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The inferred data category, which includes income and creditworthiness inferences, is disclosed as a basis for profiling used in Automated Decision Making, personalized shopping sharing with Partners and Merchants, and targeted advertising. Compliance teams should note that inferred characteristics of protected classifications such as gender derived from behavioral data may engage additional regulatory frameworks.
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