What are best practices for anonymized analytics?

Best practices for anonymized analytics involve properly removing identifying information before analysis. True anonymization prevents re identification; pseudonymization (replacing identifiers) provides less protection but enables some personalization.

Aggregation provides another approach: analyzing patterns across groups rather than individuals. Sufficient group size prevents inference about individuals. Differential privacy techniques add noise to prevent individual identification.

Anonymized analytics can provide business intelligence without individual tracking. Understanding what content categories perform well does not require tracking which individuals opened which emails.