Profile

Use Profile to analyze user attributes and their values across your audience.

This is useful when you want to understand who your users are, not just what they did.

What you can analyze

Profile analysis helps you answer questions like:

• Which cities or countries are most common?

• How are loyalty levels distributed?

• Which user traits changed during a release or campaign period?

• Which attribute values define a high-value audience?

Choose the time period

You can analyze profile data for:

• Last Week

• Last Month

• Last Year

• Dates Between

Use a custom range when you want to focus on a launch, campaign, or seasonal window.

Select attributes and values

Start by choosing the profile attribute you want to inspect.

Examples:

• city,

• membership level,

• preferred store,

• subscription status,

• or any custom profile attribute.

Then narrow the analysis with specific attribute values when needed.

This lets you focus on a smaller part of the user base and compare distributions more clearly.

How to use the results

Use the output to:

• build better segments,

• personalize campaigns,

• compare user groups,

• and validate whether profile enrichment is working as expected.

For example, if a loyalty tier is missing for a large share of users, that usually points to a data quality gap.

Best practices

• Start with one important attribute.

• Use a clean date range.

• Narrow by value only when you need a sharper view.

• Compare profile findings with People Insight or Event Insight when behavior matters too.