Build a distribution that distributes the age of your high-volume purchasers from question 39. In addition, make sure the distribution is split by gender.
Use the distribution app to build a distribution that distributes the age of your high volume purchasers from question 39 and break it down by gender. Using the distribution app distribute an event property of age that is filtered to actors with the actor property you built-in question 39 that matches the label High Purchases, split by gender and starting 7 days ago ending now.
Distributions can be a very powerful way to deeply understand behaviors and attributes in a single query. In this case, we're looking at a specific segment of users, who are high volume purchasers, and then understanding the age breakdown and gender breakdown among the age brackets. The age brackets in the output is determined by the bin count and sizes. This is powerful when trying to look at specific buckets inside your distribution.
Note: The numbers and result do not need to be an exact match as the data changes over time. The query construction is what is most important. See images below.
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