Segments are one of several ways to slice and compare results in CustomerSure.

This page explains:

If you’re new to CustomerSure reporting concepts, read Reporting basics first.

What segments are for

Segments exist to answer questions like:

In other words:

Segments are custom ways to slice scores, sentiment, and metrics in reports.

They determine how results are filtered, broken down and compared.

What segments are not

Segments are not:

If something answers “how do customers feel?”, it is not a segment. If something answers “compared by what?”, it might be.

Built-in slices vs custom segments

CustomerSure already lets you slice reports by several built-in dimensions, including:

You should only create a segment when none of the built-in options describe what you need to compare.

If you can already answer the question using an existing slice, you don’t need a segment.

Business Segments vs Feedback Segments

When you create a segment, you must choose whether it is a Business Segment or a Feedback Segment.

This choice affects how the segment behaves in the platform. Don’t worry if you get it wrong, it’s easy to change.

Business Segments

Business Segments represent operational parts of your business.

Use a Business Segment when:

Examples:

Business Segments behave similarly to Teams, Locations, and Brands in reporting and navigation.

Feedback Segments

Feedback Segments exist purely to slice reports.

Use a Feedback Segment when:

Examples:

Feedback Segments appear in filters and comparisons, but do not create structure or ownership.

A simple decision rule

If someone is accountable for it, it’s probably a Business Segment. If it’s only useful for analysis, it’s probably a Feedback Segment.

Segment values: stability matters

Segments work best when their values are:

Avoid segments where values:

If you’re trying to add a segment that looks like this, it’s more likely to be metadata.

Segments vs metadata

Not all data belongs in a segment.

Some information is useful to see when reading individual feedback, but not useful for comparison, for example:

This kind of data should be stored as context only, not as a segment. This context is called ‘metadata’.

If in doubt:

Common mistakes to avoid

Fewer, well-chosen segments produce clearer and more reliable insight.

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