"Toast operates a high-risk privacy model collecting extensive sensitive personal information (SSN, financial data, health data, biometric identifiers, protected characteristics) and sharing it broadly across merchants, advertisers, financial institutions, and data providers. The company implements pervasive cross-device behavioral tracking for targeted advertising while defaulting to tracking even when users request Do Not Track, with opt-outs that are device-specific and easily lost. Service degradation or denial for exercising privacy rights, combined with 7-year retention periods and indefinite backup archives, creates persistent exposure of sensitive data."
toasttab Privacy Concerns & Scorecard
Broad sharing of personal information with extensive categories of third parties including data brokers, advertising networks, and financial institutions with minimal transparency on specific recipients
Cross-site behavioral tracking and retargeting infrastructure with limited opt-out effectiveness and default tracking regardless of user preference
Extensive collection of highly sensitive personal information including government IDs, financial data, health information, and protected characteristics without prominent consent mechanisms
Data processing justified by 'legitimate interests' assertion without explicit user consent for most collection and sharing activities
Extended retention periods of up to 7 years for sensitive data with indefinite backup retention creating effective permanent storage
Limited effectiveness of opt-out mechanisms due to device/browser-specific implementation and cookie-dependent architecture
No recommended actions at this time.
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Data Collection & Tracking
Personal Information Collected
Account creation, identity verification, fraud prevention, tax/regulatory compliance
Payment processing, fraud detection, lending/financing decisions
Restaurant service provision, employee payroll management
Payroll management, employee records, demographic analytics
Digital ordering service delivery, location-based advertising, analytics
Service delivery, analytics, targeted advertising, fraud prevention
Service optimization, targeted advertising, analytics, personalization
Targeted advertising, campaign effectiveness measurement, personalized offers
Restaurant service provision, loyalty programs, personalization
Customer support, service improvement, quality assurance
Payroll management, employment verification, hiring decisions
Loyalty program operation, personalized offers, engagement tracking
Marketing, audience targeting, personalization
Customer support quality assurance, fraud prevention
Cross-Platform Tracking
Toast tracks users across multiple websites and apps through cookies, pixels, and advertising identifiers to build behavioral profiles for targeted advertising. The company uses 'cross-context behavioral advertising' to follow users across different businesses and websites, and data is linked across Toast's suite of services and shared with third-party advertising partners who may track independently.
Tracking Methods:
HTTP Cookies
First-party and third-party cookies placed on websites to track browsing activity, user preferences, advertising preferences, and session information
Tracking Pixels/Web Beacons
Invisible pixels on web pages and in emails that transmit information about user visits and interactions to Toast and third-party advertising networks
Advertising Identifiers
Mobile advertising IDs (IDFA, AAID) collected from devices and apps to enable cross-app behavioral tracking and targeted advertising
Device Fingerprinting
Collection of unique device characteristics (browser, OS, screen size, plugins, fonts) to create a persistent device identifier enabling tracking even without cookies
Location Tracking APIs
GPS, Bluetooth, cellular triangulation, and WiFi-based location collection through device APIs and browser access
Session Replay Services
Pixel-based session recording on certain websites capturing mouse movements, clicks, form entries, and page scrolling for behavior analysis
Third-Party Analytics Tags
JavaScript tags from analytics providers that collect aggregated data on website performance and user behavior patterns
AI & Data Training
toasttab 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 toasttab
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.