Choose the right measurement

Amplitude offers several ways to look at your event segmentation results. This section explains the differences between them.

Uniques

Uniques is the default measure for the Event Segmentation chart. It displays the total count of unique users in your segment that triggered the event you added in the Events Module. To view the exact count, hover over the data point you're interested in. To inspect the users that make up that data point, click it to activate Microscope.

Event Totals

Like Uniques, Event Totals is a straightforward, count-based measure. The difference is that instead of counting unique users, it graphs the total number of times users fire a specific event at each data point.

Counting events and counting items

When you group by a cart property (an array property), Amplitude offers an explicit choice between two counting methods:

• Counting Events: counts unique events by deduplicating array property values. If a single event contains multiple items with the same property value, Amplitude counts it as one event.
• Counting Items: counts each item within the array property without deduplication. If a single event contains multiple items, each item counts toward the total.

For example, imagine a Checkout event with the cart property item_list.product_category. If a single Checkout event contains two tacos (one Crunchy Taco and one Soft Taco) under the same product category "tacos":

• Counting Events counts 1 Checkout event.
• Counting Items counts 2 Checkout items.

The default behavior is "Counting Items" (item count). This option appears when you group by a cart property in the Event Totals measurement.

Active %

This measure graphs the percentage of all active users (users that triggered any active event in a specified time frame) that triggered a specific event at each data point.

Average

The Average measure shows how many times, on average, each user that triggered the event did so.

For any data point, Amplitude calculates this value as the total number of times users triggered the event ÷ the number of users that triggered the event.

Counting events vs. counting items

When you group by a cart property (an array property), Amplitude offers an explicit choice between two counting methods for calculating the average:

• Counting Events: calculates the average based on unique events by deduplicating array property values.
• Counting Items: calculates the average based on each item within the array property without deduplication.

This option appears when you group by a cart property in the Average measurement. The default behavior is "Counting Items" (item count).

Example

• User 1 triggers Event A 1 time.
• User 2 triggers Event A 2 times.
• User 3 triggers Event A 0 times (excluded from average).

Frequency

When you apply the Frequency measure, Amplitude groups the users in your user segment into buckets defined by the number of times each user triggered an event during the time frame of your analysis.

In the screenshot above, the colored dots represent the default buckets. Click customize buckets to adjust bucket sizing and data distribution, or use the Custom Buckets modal to set individual ranges for each bucket.

Properties

Depending on the details of your analysis, you can also generate an event segmentation chart based on the values of your event or user properties.

• Sum of Property Value: graphs the sum of property values at each data point. To use this measure, the property value must be an integer.
• Distribution of Property Value: shows the distribution of event totals broken out by the values of the selected event property. The minimum value is inclusive, and the maximum value is exclusive.
• Average of Property Value: graphs the average of the property values, or the sum of those values divided by the total number of events fired at each data point. To use this measure, the property value must be an integer.
• Distinct Property Values per User: graphs the average count of different property values triggered by each user. It's the total sum of unique user-distinct property value pairs, divided by the number of users.
• Median Property Value: graphs the median property values for each data point. This measure helps most when outliers skew averages noticeably. To use this measure, the property value must be an integer.

Formula

In an Event Segmentation chart, you can write formulas for Amplitude to apply to the events you include in your analysis. To read more about each formula and view example use cases, refer to Custom Formulas.

To learn how to interpret your Event Segmentation chart, refer to Interpret your Event Segmentation chart.