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Privacy & compliance

Tennessee TIPA and analytics

Tennessee's Information Protection Act (TIPA), effective 1 July 2025, grants residents access, correction, deletion, portability, and opt-out rights over sale, targeted advertising, and profiling. Its distinctive feature is an affirmative defence: a controller that creates, maintains, and complies with a written privacy program conforming to the NIST Privacy Framework (or a comparable framework) can raise it against enforcement. Analytics on Tennessee visitors can touch these duties. This is educational, not legal advice.

Verified against primary sources

What makes TIPA distinctive

TIPA carries the familiar consumer rights and opt-outs, but its standout is the affirmative defence: a controller that maintains a written privacy program reasonably conforming to the NIST Privacy Framework — and updates it as the framework evolves — can assert that program as a defence to enforcement actions. This explicitly rewards building a documented, framework-aligned program rather than only reacting to complaints.

Why it touches analytics

First-party analytics used only to measure your own site generally avoids the sale and targeted-advertising triggers. Where measurement feeds cross-context advertising, the opt-out applies. The affirmative-defence design means documenting how your analytics handles data — its purposes, minimisation, retention, and controls — is not just good practice but legally advantageous. A minimised, well-documented pipeline supports both compliance and the defence.

Confirm thresholds and the program standard against the statute.

How it appears in analytics and logs

If your analytics feeds sale or targeted advertising for Tennessee visitors, TIPA's opt-out applies; a documented NIST-aligned program can support a defence.

Diagnostic use case

Check whether analytics supports Tennessee residents' opt-out rights, and note TIPA's affirmative defence for a NIST-aligned privacy program.

What WebmasterID can help detect

WebmasterID's minimised, first-party model supports a documented privacy program and avoids selling data or building cross-context ad profiles.

Common mistakes

Privacy and accuracy notes

This page is educational, not legal advice. First-party, aggregated measurement that avoids sale and targeted ads reduces TIPA exposure.

Related pages

Sources and verification notes

Last reviewed 2026-06-24. Facts are checked against primary/official sources where available; uncertain specifics are marked “Data not yet verified” rather than guessed.