New app quantifies big data to provide more accurate predictions about the best time to try for a baby.
Most other trackers on the market use arithmetic-based calculations based on a woman’s cycle to estimate the best time for conception – which brings accuracy into question. There are also charts that allows women to record key pieces of information like basal temperature and other fertility related data.
Ovuline takes things to the next level. Not only does it allow for manual entry of key information like basal temperature, ovulation test results, mood etc but it can also acquire this information from other “quantified self” apps such as FitBit – making the whole process a lot easier.
Since launching in June 2012, the service has grown to over 50,000 users and is starting to collect the kind of big data that means they can start creating their own algorithms that will more accurately predict the best time to try and conceive. Some statistics seem to show the service is working – with members conceiving on average 60 days after becoming a member, compared with the national average of four to six months.
The app runs on a freemium model – advanced features costing a one-time fee of $10 on mobile and $50 for web and mobile.