Methodology

PrivacyDrift reviews publicly accessible information, including:

• privacy policies,
• terms and legal documents,
• cookie disclosures,
• help center documentation,
• public support articles,
• company transparency information,
• publicly available policy updates.

Analysis may expand over time as the platform evolves.

PrivacyDrift uses internally developed evaluation systems to calculate scores and identify potential strengths, weaknesses, and risk areas.

Scores are based on multiple weighted factors, including:

• clarity of disclosures,
• data collection practices,
• user controls,
• retention policies,
• tracking and advertising practices,
• transparency,
• policy accessibility,
• change history,
• available privacy tools and controls.

Scores are calculated using structured evaluation rules and internal analysis methods developed specifically for PrivacyDrift.

PrivacyDrift does not publicly disclose its full scoring formulas, weighting systems, or internal review logic.

PrivacyDrift may use automated systems to assist with:

• policy parsing,
• text extraction,
• summarization,
• change detection,
• organization of evidence and sources.

Automated systems are used to improve processing speed and readability, but they do not replace PrivacyDrift's internal evaluation framework.

Scores and findings are organized into categories that may evolve over time.

Examples may include:

• AI Training
• Data Sharing
• Ads & Tracking
• Data Retention
• User Control
• Transparency

Category structures, scoring ranges, and weighting systems may change as the platform improves.

Privacy policies can change frequently.

PrivacyDrift may archive and compare historical versions of policies to identify meaningful updates, additions, or removals over time.

Not every policy change is equally important. Some updates may be editorial, structural, or legally required without significantly affecting user privacy.

PrivacyDrift analyzes publicly available information and cannot independently verify every real-world company practice.

A strong score does not guarantee perfect privacy practices.

A weak score does not automatically imply malicious intent.

Policies may also:

• contain ambiguity,
• omit important operational details,
• change without notice,
• differ across regions or products.

PrivacyDrift should be used as an informational and research tool, not as a legal or compliance authority.

PrivacyDrift is an evolving platform.

Scoring systems, categories, detection methods, and analysis processes may continue to improve as additional tools, historical data, and review systems are added over time.

If you believe information is inaccurate or outdated, you can contact PrivacyDrift for review or correction requests

hello@privacydrift.com