How SOASTA and Google used machine learning to predict bounce rate and conversions

If you’re ever offered a chance to throw a million or so beacon’s worth of user data into a Google-developed machine-learning system, I highly recommend you say yes. That’s what we did here at SOASTA, when Google approached us a year ago about partnering on a pioneering research project. The results have been eye-opening. In this post, I’ll walk through a bit of the methodology we used, as well as some of the highlights of our findings. I’ll also share the machine learning code we used, which we’ve open sourced, as well as a few tips we picked up during this project. (I had the privilege of presenting this research with Pat Meenan, the Google software engineer who drove the machine learning side of things, at Velocity last month. The video of our talk…


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