# Audiences

Audiences, segments, cohorts, buckets: call them what you will, but groups of users defined by your own events (or outside third-party events) are a critical tool for both measurement and (hopefully) targerting.

Here's a very typical overview of a protocol's entire active users, with basic stats like size, active wallets (defined as MTWs), transactions, median balance, etc. \
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Note also the donut charts for transactions by chain, token balances and (importantly) the engagement distribution of users (**including a Sybil model).** 

<figure><img src="https://1560216118-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FXCbRJugC9obtJ12iHKUB%2Fuploads%2FyB5wpIEuOlweumzxNRAD%2FScreenshot%202024-05-01%20at%206.52.12%E2%80%AFPM.png?alt=media&#x26;token=5e7c91fc-dcc4-4a3e-b8f6-289037d0a50c" alt=""><figcaption></figcaption></figure>

But first, how to create an audience (other than your default one of every user).&#x20;