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The Crayon Blog

How one app helped 50,000 women get pregnant

Industry Articles | Published February 28, 2014  |   Tejeswini Kashyappan

    Almost everyone over the age of 12 knows how babies are made. But big data is changing even that in a big way. At the very least, it’s making the process of getting pregnant a lot more predictable.

    Today, Ovuline announced that more than 50,000 women have used its free Ovia Fertility app to help them get a bun in the oven. Thanks to Ovia’s data-based algorithms, they were able to conceive in about two months on average, CEO Paris Wallace said. That’s nearly three times faster than those who soldier on without the aid of science.

    “Our mission is to use machine learning and big data sets to give women a clear, science-based roadmap that helps them conceive naturally and have a healthy pregnancy,” Wallace said.

    Ovuline’s secret? It analyzes tens of millions of data points — everything from a woman’s basal temperature and blood pressure to her mood, food and the amount of sleep she’s gotten — and correlates them to the conditions that result in successful pregnancies. It will even grab some of this data from fitness trackers like the Jawbone UP or the Withings scales.

    The app then helps calculate the optimal time to plant the seed — offering a daily fertility score and a forecast that provides advance notice for planning the magic moment.

    Read More

    Subscribe to the Crayon Blog. Get the latest posts in your inbox!

    The Crayon Blog

    How one app helped 50,000 women get pregnant

    Industry Articles | Published February 28, 2014  |   Tejeswini Kashyappan

      Almost everyone over the age of 12 knows how babies are made. But big data is changing even that in a big way. At the very least, it’s making the process of getting pregnant a lot more predictable.

      Today, Ovuline announced that more than 50,000 women have used its free Ovia Fertility app to help them get a bun in the oven. Thanks to Ovia’s data-based algorithms, they were able to conceive in about two months on average, CEO Paris Wallace said. That’s nearly three times faster than those who soldier on without the aid of science.

      “Our mission is to use machine learning and big data sets to give women a clear, science-based roadmap that helps them conceive naturally and have a healthy pregnancy,” Wallace said.

      Ovuline’s secret? It analyzes tens of millions of data points — everything from a woman’s basal temperature and blood pressure to her mood, food and the amount of sleep she’s gotten — and correlates them to the conditions that result in successful pregnancies. It will even grab some of this data from fitness trackers like the Jawbone UP or the Withings scales.

      The app then helps calculate the optimal time to plant the seed — offering a daily fertility score and a forecast that provides advance notice for planning the magic moment.

      Read More

      Subscribe to the Crayon Blog. Get the latest posts in your inbox!

      The Crayon Blog

      How one app helped 50,000 women get pregnant

      Industry Articles | Published February 28, 2014  |   Tejeswini Kashyappan

        Almost everyone over the age of 12 knows how babies are made. But big data is changing even that in a big way. At the very least, it’s making the process of getting pregnant a lot more predictable.

        Today, Ovuline announced that more than 50,000 women have used its free Ovia Fertility app to help them get a bun in the oven. Thanks to Ovia’s data-based algorithms, they were able to conceive in about two months on average, CEO Paris Wallace said. That’s nearly three times faster than those who soldier on without the aid of science.

        “Our mission is to use machine learning and big data sets to give women a clear, science-based roadmap that helps them conceive naturally and have a healthy pregnancy,” Wallace said.

        Ovuline’s secret? It analyzes tens of millions of data points — everything from a woman’s basal temperature and blood pressure to her mood, food and the amount of sleep she’s gotten — and correlates them to the conditions that result in successful pregnancies. It will even grab some of this data from fitness trackers like the Jawbone UP or the Withings scales.

        The app then helps calculate the optimal time to plant the seed — offering a daily fertility score and a forecast that provides advance notice for planning the magic moment.

        Read More

        Subscribe to the Crayon Blog. Get the latest posts in your inbox!

        The Crayon Blog

        How one app helped 50,000 women get pregnant

        Industry Articles | Published February 28, 2014  |   Tejeswini Kashyappan

          Almost everyone over the age of 12 knows how babies are made. But big data is changing even that in a big way. At the very least, it’s making the process of getting pregnant a lot more predictable.

          Today, Ovuline announced that more than 50,000 women have used its free Ovia Fertility app to help them get a bun in the oven. Thanks to Ovia’s data-based algorithms, they were able to conceive in about two months on average, CEO Paris Wallace said. That’s nearly three times faster than those who soldier on without the aid of science.

          “Our mission is to use machine learning and big data sets to give women a clear, science-based roadmap that helps them conceive naturally and have a healthy pregnancy,” Wallace said.

          Ovuline’s secret? It analyzes tens of millions of data points — everything from a woman’s basal temperature and blood pressure to her mood, food and the amount of sleep she’s gotten — and correlates them to the conditions that result in successful pregnancies. It will even grab some of this data from fitness trackers like the Jawbone UP or the Withings scales.

          The app then helps calculate the optimal time to plant the seed — offering a daily fertility score and a forecast that provides advance notice for planning the magic moment.

          Read More

          Subscribe to the Crayon Blog. Get the latest posts in your inbox!