Cycle-tracking apps

An app that predicts your period and an app authorised as a contraceptive are two very different things. Confusing them is the commonest mistake.

Illustration: Cycle-tracking apps

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Two categories with little in common

Cycle trackersThe overwhelming majority of apps. They predict periods and display a "fertile window" from an average of the cycles you enter. They measure nothing, are not designed as contraceptives, and usually say so in their terms. Used as contraception they are worth a calendar method at best — often less, since the user does not know which rule is being applied.
Digital contraceptivesA handful of apps authorised as medical devices by a health regulator, on the basis of published clinical trials. They rest on an actual daily measurement — waking temperature, sometimes supplemented by urine tests for luteinising hormone — not on an average.
A woman still in bed at dawn takes her temperature with a thermometer, her phone on the bedside table
Waking temperature, every morning before getting up: this real daily measurement is what separates a digital contraceptive from a mere cycle tracker.

So the question to ask of an app is not whether it is popular but: does it claim authorisation as a contraceptive medical device, and does it require a daily measurement? If the answer is no to both, it is not contraception.

What an algorithm actually does

A digital contraceptive automates the rules of the temperature method: it spots the thermal shift, infers ovulation, and opens the infertile phase according to a statistical rule. Its added value is real — it does not miscount, it takes personal history into account, it discards outliers — but it knows nothing beyond what you measure. A temperature not taken is missing information, and the app answers with a day marked fertile.

That is the central misunderstanding: the algorithm does not reduce the number of days to protect, it reduces calculation errors. The days of abstinence or condoms remain numerous, typically half of the cycle.

Effectiveness

A midwife drawing a temperature curve in pencil in front of an attentive patient
About 2 pregnancies per 100 women a year with perfect use, 7 with typical use: the effectiveness of approved apps assumes daily measurement, and a well-taught symptothermal method remains more reliable than a poorly fed algorithm.

Apps authorised as contraceptives publish rates of about 2 pregnancies per 100 women per year in perfect use and around 7 in typical use — the level of the pill in typical use. Those figures come from studies of committed users and assume the daily measurement is actually taken.

An ordinary tracking app has no contraceptive effectiveness rate at all, because it has never been evaluated for that use.

Your cycle data is health data

A cycle app knows when you ovulate, when you have sex, whether you are trying to conceive, and sometimes that you are pregnant. Before installing one: who hosts the data, is it shared with third parties for advertising, can it be exported and above all deleted? The applicable rules depend on the country, and the gap between two apps on this ground is considerable.

What an app does not replace

No app protects against a sexually transmitted infection, and none removes the need to learn. A well-taught symptothermal method remains more reliable than a poorly fed algorithm.

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Sources

  1. De Novo Classification Request for Natural Cycles (DEN170052) — decision summary — accessdata.fda.gov, 2018
  2. Natural Cycles — fiche de classification De Novo DEN170052 (software application for contraception, 21 CFR 884.5370) — accessdata.fda.gov, 2018
  3. Contraception and Birth Control Methods — Centers for Disease Control and Prevention (CDC), 2024
  4. How Effective? (Fertility Awareness Methods) — Family Planning: A Global Handbook for Providers — World Health Organization and Johns Hopkins Center for Communication Programs, accessed 2026
  5. Natürliche Familienplanung (Temperaturmethode) — gesundheit.gv.at, 2025 (in German)

Official or institutional documents this page relies on, consulted on 12 October 2026. Links open in a new tab.

Page checked in . The instruments cited can change: if in doubt, confirm with the official source given.

Text prepared with artificial intelligence, reviewed and checked by the AffectionPlus team (method and sources: About). This content does not replace medical or legal advice. Spotted an error? Write to us.

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