Daysy and Ladycomp track your cycle for you
There are only a handful of days each cycle that you are fertile. The process of tracking when those days occur each cycle is called fertility awareness.
Daysy and Ladycomp use the Fertility Tracker Method (FTM) to calculate your fertile days and predict your ovulation. This means, Daysy and Ladycomp take your basal body temperature and menstruation data, and calculates for you when you are fertile and when you are not.
Daysy and Ladycomp draw on the science of different models of fertility awareness to provide highly accurate calculations of your fertility status each day - fertile or not fertile. The self-learning algorithm does all of the necessary calculation work for you to come to these conclusions. The intuitive nature of the our fertility trackers reduces the potential for any user errors and mistakes.
Daysy combines
- A precise temperature sensor that gets the most accurate data reading
- A unique, intelligent algorithm based on a database of 5 million menstrual cycles
- An intuitively designed tracker that eliminates the potential for user error
Daysy and Ladycomp make fertility tracking precise and accurate
All users have to do to practice FTM accurately is to regularly measure their basal body temperature and correctly input their menstruation days. The Fertility Tracker takes over all further steps and determines the fertility status of the user.
Daysy and Ladycomp have a very precise and sensitive sensor with which you take your basal body temperature when you wake up. This design is unique to Daysy and Ladycomp.
Many other methods of fertility tracking require a separate thermometer, which can be of varying quality, leading to measurement inaccuracies due to the thermometer calibration or as part of transferring the temperature manually to an app for review.
Daysy and Ladycomp are all-in-one, taking your temperature, storing your data, and calculating your fertility status within the singular device.
No note-taking, no forgetting, no worries - our fertility trackers do all the hard work for you!
Their intelligent algorithm is supported by the science of fertility awareness, a database of 5 million menstrual cycles, and the experience with our 500,000 users. Possible factors that can impact the cycle and lead to delayed ovulations, such as stress or travel, are all incorporated into the algorithm.
Daysy and Ladycomp make fertility tracking accessible and able to fit your lifestyle.
You can rely on Daysy and Ladycomp
Unlike other fertility awareness methods, Daysy and Ladycomp make it easy to find out when you are fertile and when you are not.
Their simple and intuitive operation lets you know the current status of your fertility within seconds. All you have to do is measure your basal body temperature under your tongue in the morning, immediately after waking up and before getting up. In addition, you enter whether you have your period. Based on your data and those from 5 million menstrual cycles and 30 years of research, the algorithm calculates within seconds whether you are fertile or not.
During your fertile window, it is possible to conceive; outside of your fertile window, it is not.
Get to know your body better
A bonus with our fertility trackers is the ability to explore your own menstrual cycle and get to know your body better. With a commitment of just a minute a day you can become more knowledgeable about your cycle and body.
Daysy's companion app DaysyDay gives you additional insight with cycle statistics and the ability to learn more about your health and wellness.
With Ladycomp these insights are right at your fingertips.
The hormone-free solution for managing your cycle
The Fertility Tracker Method is all-natural and hormone-free, meeting the needs of the woman who strives for a lifestyle that is health and wellness focused.
Daysy and Ladycomp are the hormone-free solution for managing your fertility, periods, cycles, and health. Know when you are fertile and when you are not, and have access to a sophisticated level of body literacy with all of your data, past, present and future.