"FractionalJobs exhibits high-risk privacy practices typical of analytics-heavy platforms, with extensive behavioral tracking across multiple third-party services (Google Analytics, Clarity, Simple Analytics), persistent cookies set to expire in year 9999, and vague data retention policies. The service collects detailed device fingerprinting data, professional profiling information, and auto-tracks sensitive user interactions (video watches, button clicks, book-a-call conversions) without granular user consent mechanisms. Broad third-party sharing agreements with service providers, affiliates, and during business transfers—combined with indefinite data retention and limited opt-out mechanisms beyond browser DNT support—create substantial privacy risks comparable to mainstream ad-supported platforms."
fractionaljobs Privacy Concerns & Scorecard
Infinite data retention through persistent cookies and localStorage with no automatic expiration
Session recording and behavioral tracking without explicit pre-collection consent banner or opt-in mechanism
Collection of device fingerprinting data and unique identifiers across multiple device types
Broad definition of service providers and affiliates with vague limits on data use
Attribution and conversion tracking across major AI platforms and search engines indicating broad cross-platform behavioral monitoring
No recommended actions at this time.
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Data Collection & Tracking
Personal Information Collected
Account creation, authentication, communication, and personalization of the service
Service functionality, compatibility analysis, and security monitoring
Usage analytics, conversion tracking, and user experience optimization
Attribution tracking, marketing effectiveness measurement, and conversion analysis
User segmentation, targeted job recommendations, and service personalization
Service provisioning, billing, and conversion tracking
User experience analysis and debugging
Cross-Platform Tracking
FractionalJobs tracks users across external platforms including ChatGPT, Claude, Gemini, Copilot, LinkedIn, Facebook, Instagram, and Reddit through referral source tracking and attribution pixels. The service collects document referrer data which reveals your browsing history from external sites, and uses persistent localStorage to retain first-touch attribution data indefinitely across sessions and devices.
Tracking Methods:
Google Analytics Tracking Pixel
Google Analytics (G-S4N9BP9MB4) tracking pixel records user interactions, page views, and conversion events
Clarity Session Recording
Microsoft Clarity script records and replays full user sessions including mouse movements, clicks, and scrolling behavior without explicit per-use consent
Persistent & Session Cookies
Cookies used for tracking subscription status (with 9999-12-31 expiration), accepting cookie policy, and storing functional preferences across sessions
Web Beacons & Tags
Invisible beacons and scripts used to track email opens, count website visitors, and gather statistics across pages
localStorage & sessionStorage
Client-side storage retains first-touch referral data (localStorage - persistent) and session data (sessionStorage - current session only) including referral source and landing page information
Cross-Platform Referral Tracking
Tracks and attributes user visits from external platforms including ChatGPT, Claude, Gemini, Copilot, LinkedIn, Facebook, Instagram, and Reddit
Simple Analytics Integration
Third-party analytics service (sa.fractionaljobs.io) tracks custom events including page toggles, button clicks, video watches, and subscription events
Document Referrer Tracking
Captures the document referrer HTTP header, which reveals the user's browsing history from external sites and search queries
AI & Data Training
fractionaljobs does not train AI on your content
Based on their public policy, your content is not used to train AI models.
How to Object
No opt-out available
This service does not currently provide a public way to opt out of AI training.
Why We Analyzed fractionaljobs
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.