This article helps you:
Use the features of the Measured As Module to customize your analysis
This article explores some more advanced features available to you as you interpret your event segmentation analyses. For a primer on the basics, review part one.
Rolling averages will display the unweighted mean, which works to smooth out a chart. This is useful if you have cyclical users—for example, people who use your product during the week, but not on weekends.
To apply a rolling average to your chart, click Advanced and select Rolling Average from the drop-down list.
The maximum ranges allowed for a rolling average are 36 five-minute intervals (three hours), 72 hours, 90 days, 12 weeks, or 12 months.
This chart displays the daily event totals, without a rolling average. Notice the sharp peaks and valleys in the line.
But when you add a rolling average of seven days, those fluctuations disappear. That’s because each data point is now an average of the previous seven days’ worth of data.
Bear in mind that each day’s data is included in that day’s data point:
A rolling window is another method of smoothing out your data. It will display the aggregate last N days of information in a single data point. This is useful if you want to view aggregated metrics—such as your 7-day active user count—on a daily basis.
This differs from the rolling average, in that a rolling window doesn't average your data over the selected time frame. Instead, it sums the data.
To apply a rolling window to your chart, click Advanced and select Rolling Window from the drop-down list.
The maximum ranges allowed for a rolling window are 36 five-minute intervals (three hours), 72 hours, 90 days, 12 weeks, or 12 months.
This chart displays event totals without a rolling window.
Below, the the event totals display with a rolling window of seven days. Each day represents a sum of the previous seven days worth of events.
As with a rolling average, when using a seven-day rolling window, the first six days of your selected time frame will fetch data from outside the selected time period. For example, in an analysis covering the month of February, the result for February 6th would average data over January 31st to February 6th.
When you select a rolling window, you can specify if aggregation happens before or after Amplitude filters results according to the cohort or cohorts you select.
Cumulative sum displays a running total of events in a single data point. For example, you might want to show a running total of revenue generated by purchase events. Cumulative sum helps you do that.
To apply a cumulative sum to your chart, click Advanced and select Cumulative from the drop-down list.
If you would like to use cumulative sum in a formula, click Formula and type out CUMSUM.
This chart shows a running total of purchases using the Complete Purchase
event. The April 19th data point represents a sum of purchases on all the preceding days of the selected time frame. Here, that means April 5th to April 19th.
Using cumulative sum with uniques generate a count of unique users for each data point, with duplicates removed.
For example:
Complete Purchase
.Complete Purchase
.Complete Purchase
.On the data point for April 19th, a total count of four will be returned because four unique users fired this event from April 5th to April 19th.
View segmentation data in real time. However, there are some caveats:
Using Compare to past, you can compare the results of the current time range with the previous day, or the same day from previous week, month, quarter, or year.
For example, you want to compare completed purchases for the current week to last week.
The blue segment shows you the current period and the green segment shows you your data for last week.
Since the period-over-period comparison interval is configurable, you can choose what dates you actually want to compare. You can also toggle to view the percentage change between values instead.
You can also use the period-over-period comparison with the custom formula metric. For example, you can compare your current rolling average with that of the previous month:
July 22nd, 2025
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