Digital Impact works by analysing a response (the activity you're measuring) and control series of data points, such as clicks or conversions, then constructing a Bayesian structural time-series model which is used to predict what would have happened if the activity hadn't taken place.
For example, if you want to know whether your site migration is a success, Digital Impact can compare post-migration performance with forecast performance based on pre-migration data to give you an accurate picture of its impact.
What is the technology behind the Digital Impact tool?
At the heart of Digital Impact is the open-source package CausalImpact, developed by Google for estimating causal effects in time-series data. It seamlessly integrates with the Google Analytics and Google Search Console APIs, as well as manual data uploads, to create a range of measurement opportunities.
How can Digital Impact help me show the value of on-site changes?
If any of the following challenges are familiar, then Digital Impact will help you highlight the effect of changes, be it positive, neutral or negative. It even tells you how confident it is that the change resulted in the impact using a statistical significance model.