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Identification, accuracy, and confidence

Any identification layer should be measured, not assumed. Confidence scores, false positives, and environment-specific gaps need to be understood before they drive automation or policy.

Evaluation areas

  • browser and device variability
  • consent and tracking limitations
  • proxy or network effects
  • SDK and environment differences
  • server-side enrichment quality
Operational teams should capture these assumptions in release notes and support documentation when behavior changes.