"Mindvalley exhibits high-risk privacy practices comparable to Facebook/TikTok with aggressive collection of sensitive personal data (religion, sexual preference, income, live location), extensive cross-site behavioral tracking through Google Analytics and Facebook pixels, and broad sharing with unspecified third parties under CCPA 'sale' definitions. The indefinite retention policies, vague service provider descriptions, and restrictive user rights enforcement (45-day delays, one-request-per-year limits) further compound privacy exposure, while the lack of Do Not Track support and per-device opt-out requirements limit user control effectiveness."
mindvalley Privacy Concerns & Scorecard
Comprehensive cross-site behavioral tracking and retargeting through Google Analytics Advertiser Features, Facebook pixels, email tracking, and AI-driven personalization
Extensive collection of sensitive personal data including religion, sexual preference, marital status, income range, and live location tracking without clear necessity justification
Personal data transfer to unknown third parties in acquisition, merger, or bankruptcy scenarios without explicit user consent requirement
Limited data portability; no explicit mention of structured data export or download functionality for user-controlled data migration
Indefinite data retention with vague justification ('as long as necessary') across multiple purposes without specified deletion timelines
No recommended actions at this time.
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Data Collection & Tracking
Personal Information Collected
Account creation, billing, customer communication, professional assessment
Personalization, AI-driven content matching, behavioral profiling for marketing
Payment processing, transaction management, fraud detection
Personalization, traffic analysis, compliance with regional privacy laws
Behavioral profiling, personalization, cross-device tracking, abuse detection
Personalization, AI content recommendations, marketing analysis, engagement tracking
Account verification, professional assessment, social graph integration, targeted advertising
Customer support, quality assurance, feedback collection, marketing content
Personalization, AI content matching, marketing profiling, engagement optimization
Cross-Platform Tracking
Mindvalley tracks users across websites and apps using Google Analytics Advertiser Features (including remarketing and Display Network tracking), Facebook retargeting pixels, and email engagement tracking for abandoned cart remarketing. Device fingerprinting via browser type, operating system, and IP address enables cross-device profiling, and data is linked to third-party social media accounts (Facebook) to build unified behavioral profiles for targeted advertising.
Tracking Methods:
Google Analytics Advertiser Features
Remarketing, Google Display Network Impression Reporting, and Demographics/Interest Reporting for cross-site behavioral tracking and audience profiling
Facebook Retargeting Pixel
Tracks user behavior across websites for Facebook-based retargeting campaigns and audience segmentation
Email Engagement Tracking
Tracks email opens and link clicks; triggers abandoned cart remarketing based on behavioral signals
Device Fingerprinting
Browser type, OS, device details, IP address, and cookie settings combined to create persistent cross-device profiles
First-Party Cookies
Browser cookies used for session management, personalization, and user preference storage
AI-Driven Behavioral Profiling
Creates inferred preferences, interests, and behavioral profiles from aggregated user interactions for personalization and marketing targeting
AI & Data Training
mindvalley uses your content to train AI
Below is what's used and how (if at all) you can object.
What Content Is Used
Lifebook Assessment Responses
User responses to Lifebook assessments and self-discovery questionnaires are used to train AI for content recommendations, personalization matching, and behavioral profiling. Explicitly used for marketing purposes.
Behavioral and Engagement Data
User interactions, pages visited, browsing history, login patterns, and engagement signals are used to train inferred preference models and behavioral profiles for AI-driven personalization.
Survey Responses and Feedback
Voluntary survey responses, NPS scores, and support ratings are incorporated into AI models for content optimization and personalization refinement.
Stated Preferences and Goals
User-stated goals, preferences, and profile information are used to train AI recommendation algorithms and content matching systems.
How to Object
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Email GDPR@mindvalley.com (EU/EEA residents) or privacy@mindvalley.com (other regions) to disable AI-based personalization. Users can also toggle off AI-driven personalization in account settings. Note: Opting out may limit feature effectiveness and standard personalization features may still apply.
Why We Analyzed mindvalley
TrueTerms automatically audits privacy policies and data practices using advanced machine learning to keep you informed and protected. This scorecard is based on the latest available public terms of service and privacy policies as of 2026.