The Power of Advanced Calculated Metrics in Adobe Analytics
Hila’s session focused on the following analytical methods:
Forecasting - Introducing plan data into Analysis Workspace and creating pacing visualizations.
Statistical Significance - Calculating test results in Analysis Workspace and introducing discipline into a testing program.
Churn - Visualizing retention and churn in Analysis Workspace and understanding loyalty patterns.
There is a lot to unpack here, so if you didn't attend Hila's session, or you want a refresher, I highly suggest that you start by watching her session, on-demand at Adobe.com:
📺 Watch Hila's Adobe Summit Session on-demand [Adobe.com]
You can also self-pace through the material by downloading the slides Hila's used in her session:
⬇️ Download a copy of Hila's presentation slides [33Sticks.com]
As you are watching the session or looking to re-create some of the advanced Calculated Metrics that Hila mentioned during her presentation, we have included screenshots of the calculations used below:
FORECASTING CALCULATIONS
Introducing Plan Data into Workspace and creating Pacing visualizations.
Cumulative Visit Counts
Cumulative Forecast to Date
% Forecast to Date - Daily Pacing
% Forecast to Date - Total Pacing
STATISTICAL SIGNIFICANCE CALCULATIONS
Calculating test results in Analysis Workspace and introducing discipline into a testing program.
Conversion Rate
Variance
Standard Deviation
Lift
Standard Error
T-Test
CHURN CALCULATIONS
Visualizing retention and churn in Analysis Workspace and understanding loyalty patterns.
Monthly Cohort Segment
Moving Window Segment
Retention Rate
Churn Rate