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Privacy Guides

How period tracker data privacy actually works — from HIPAA myths to on-device storage to what happens when law enforcement asks.

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Does Flo Sell Your Data? What the FTC Found

Guide

The FTC took enforcement action against Flo in 2021 for sharing reproductive health data with Facebook and Google. A $59.5M class action settled in 2025. Here's what actually happened.

Updated Mar 21, 2026

End-to-End Encryption in Period Trackers: What It Actually Means

Guide

End-to-end encryption and zero-knowledge architecture are not the same thing. This guide explains the difference and what each actually protects you from.

Updated Mar 21, 2026

How Femtech Apps Monetize Your Health Data

Guide

Free period tracker apps have a business model. This guide explains how femtech companies monetize health data, what the FTC enforcement record shows, and how to audit what your app is sending.

Updated Mar 21, 2026

How Period Tracker Apps Collect and Use Your Data

Guide

Period tracker apps collect far more than cycle dates. This guide explains what data is collected, how it is used, and what the FTC enforcement actions against Flo and Premom revealed.

Updated Mar 21, 2026

How to Read a Period Tracker Privacy Policy

Guide

Most users skip privacy policies. This guide gives you a 5-step checklist to audit any period tracker's privacy policy in under 15 minutes — and shows you exactly what to look for.

Updated Mar 21, 2026

How to Track Your Period Without an App

Guide

You do not need an app to track your menstrual cycle. This guide covers paper tracking, spreadsheet methods, and on-device apps that store nothing on a server.

Updated Mar 21, 2026

How to Track an Irregular Menstrual Cycle

Guide

Irregular cycles are harder to track but more important to document. This guide explains what counts as irregular, how to build a useful baseline, and when to discuss findings with a healthcare provider.

Updated Mar 21, 2026

What Is On-Device Storage in a Period Tracker?

Guide

On-device storage means your health data never leaves your phone. This guide explains what that means, why it matters legally, and how it differs from cloud-backed storage.

Updated Mar 21, 2026

What Does Open Source Mean for a Period Tracker App?

Guide

Open source period trackers allow anyone to inspect the code and verify privacy claims independently. This guide explains what open source means, its limits, and how to evaluate an open-source app.

Updated Mar 21, 2026

Can Police Access Your Period Tracker Data?

Guide

In states with abortion bans, law enforcement can subpoena period tracker data from cloud-based apps. On-device apps cannot be compelled to hand over data they don't have. Here's exactly how it works.

Updated Mar 21, 2026

Are Period Tracker Apps Covered by HIPAA?

Guide

Most period tracker apps are not covered by HIPAA. This guide explains which law actually governs consumer health apps, what protections you do and do not have, and what the FTC can do.

Updated Mar 21, 2026

How Period Tracker Apps Predict Ovulation (And When They're Wrong)

Guide

Period tracker apps use calendar math, BBT, and sometimes LH data to predict ovulation. This guide explains each method, its accuracy, and where predictions commonly fail.

Updated Mar 21, 2026
What privacy topics are covered in the Floriva guides?
The guides cover reproductive data privacy law (what HIPAA does and doesn't cover, state-level protections), how period tracker apps handle data in practice vs. policy, and what questions to ask when evaluating any health tracking app.
Is there a guide explaining what reproductive data can be subpoenaed?
Yes. The legal guides explain which reproductive health data types have been used in legal proceedings, which states have passed protective laws, and what technical protections — like on-device storage — provide against subpoena regardless of jurisdiction.
Where can I learn how period tracker apps make money?
The business model guide explains how free period trackers generate revenue — advertising partnerships, data licensing, and health data aggregation. Understanding the revenue model is the fastest way to predict how an app will handle your data.

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