Machine-readable signals are standardised, automated data formats that communicate user consent preferences to advertising technology platforms, analytics systems, and other data processors without requiring human interpretation. The most prominent example is the IAB Transparency and Consent Framework (TCF), which encodes user consent choices into a consent string that can be read and acted upon by ad tech vendors throughout the programmatic advertising supply chain.
Google Consent Mode v2 uses similar machine-readable signals to communicate consent status to Google tags. These signals enable automated, real-time consent enforcement across complex technology ecosystems.
In modern digital advertising and analytics, dozens of vendors may be involved in processing a single page view. Manually communicating consent preferences to each vendor is impractical. Machine-readable signals solve this by encoding consent into a format that every system in the chain can interpret and act upon automatically.
When a user opts out of advertising cookies, the signal propagates to all connected vendors, ensuring they do not process the user’s data. Without machine-readable signals, consent enforcement across multi-vendor ecosystems would be unreliable and unscalable.
Seers’ consent management platform generates and transmits machine-readable consent signals that are compatible with the IAB TCF and Google Consent Mode v2. When a user makes a consent choice through Seers’ banner, the platform immediately communicates that choice to all connected systems using standardised signal formats.
This ensures that consent preferences are respected throughout your entire ad tech and analytics stack, from your consent banner to every downstream vendor.
Make every consent decision machine-readable, enforceable, and audit-ready with Seers AI
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