You can build an impact analysis and measure retention or engagement using the specified conditions against the segments of actors and attributes for a given time frame. It lets you measure an event's impact on user engagement. The results of an impact analysis are anchored around the timing of the impact event, and the measures aggregate the impact across users.
The following example generates an impact analysis to assess the first share's impact on plays.
- Go to + > Impact.
- Choose the preferred measure. Here, choose Average Events Per Actor. This measures the average number of events per actor that performed any matching activity during the selected time bucket. The average is computed regardless of the segmentation you use. Also, choose the Users dataset.
- Define the treatments and outcomes in the Events and Outcomes section, which are the events that you want to measure the impact of. For example, if you want to see the impact of the Share Content treatment on the Play Content outcome. If you want to use a Timestamp instead of an Event, click Timestamp in this section.
- Choose Event Occurrence. There are three options: for the first time in the time range, for the first time ever, or for the last time. For example, set it to the first time in the time range.
- Define Bounds, which is the time before and after the first occurrence of the outcomes defined in the previous step. Here, set both to 30 days.
- Set the time grain to 30 days.
- Click Run to generate an impact chart.
- Give a descriptive name to the analysis and save it.
You can set multiple filters inside an event segmentation analysis. You can reference parameters inside filters to fine-tune your exploration whenever you create filters. Learn more about parameters.
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