Pat Meenan (@patmeenan) is a veteran when it comes to Web Performance Optimization. Besides being the creator of WebPageTest.org he has also done a lot of work recently on the Google Chrome team to make the browser better and faster.
During his recent Velocity presentation on “Using Machine Learning to determine drivers for bounce and conversion” he presented some very controversial findings about what really impacts end user happiness. That it was not rendering time but rather DOM Load Time that correlates with conversion and bounce rates. In this session we dig a bit deeper into which metrics you can capture from your website and presented them to your business side as an argument for investing in faster websites. Find out which metric you really need to optimize in order to “move the needle”

Related Links:
* Using machine learning to determine drivers of bounce and conversion - Velocity 2016
***** https://www.youtube.com/watch?v=TOsqP16jnDs

* WEBPAGETEST
***** https://www.webpagetest.org/

* WPO-Foundation Github repository for machine learning
***** https://github.com/WPO-Foundation/beacon-ml