Statistical forecasting is a powerful tool that’s been used at Distilled for a while, both by consultants when analysing client data and by our in-house monitoring tool that alerts us to problems with client sites. In this post, I’m publicly launching a free forecasting tool that I spoke about last week at BrightonSEO, and explaining how to make best use of it.
Using the tool
You can access the tool at distilled.net/forecaster. It utilises the CausalImpact R package which you can read about in this paper published by Google if you’re so inclined, but don’t worry if you’re not - the precise purpose of the tool is to make these methods accessible.