11. Segments

A segment is a saved, named definition of an audience — "mobile visitors from Germany who rage-clicked this week." Build it once, and you can reuse it across the Sessions list, dashboards, heatmaps, funnels, Lift AI, and alerts. Segments are FullSession's single saved-filter mechanism: there's no separate "saved filters" concept — when you save a set of filters, you're creating a segment.

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11.1 What Is a Segment?

A segment bundles a filter definition with a name and a little metadata. Each segment has:

Part	Detail
Title	The segment's name
Description	Optional notes (short — a sentence or two)
Filters	The audience definition (the filter tree)
Owner	Who created it (shown as "Created By You", "Created By FullSession", or "Created By [name]")
Favorite	A star that pins it to the top of the list
Created / updated	Timestamps

Segments and funnels are cousins

Internally, funnels are built on the same model as segments (distinguished by a flag), which is why they share filtering concepts. In the app they appear in separate lists — Segments and Funnels — so you work with each in its own place. Funnels get their own chapter ([Chapter 12 — Funnels]).

The built-in "Everyone" segment

Every site has a default segment called Everyone — essentially "all activity" over the last 30 days. It's always present, always starred, and can't be edited or deleted. It's the baseline you see before you apply a more specific segment.

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11.2 Building a Segment

You build a segment with the categorized filter editor — the same filtering system used on the Sessions list ([Chapter 5, section 5.2]). Define the filters you want, then save them as a named segment.

Filter categories

The filter fields are grouped into categories:

Category	Examples
User Identification	Any User, Email, Name, Signed-up Status, User ID
Events	Any Activity, Clicked on, Error/Rage/Dead Clicks, Thrashed Cursor, Abandoned Form, Input Changed, Error Log, Uncaught Exception, Network Error
Engagement	Visited URL, Query String, Page visits, Total Sessions, Landing/Exit page, Total Time, Total/Average Active Time, Average Session Length, First Seen, Last Seen
Technology	Device Type, Browser, Operating System, Is Mobile App
Location	City, Country, IP Address
Performance	Page Load Time, Avg Page Load Time
Others	UUID, Number of clicks, Screen height/width, Referrer URL, Is Live Session, Has Answered Feedback

If your account has the Optimizely integration, you'll also get Experiment/Variation fields, and any custom attributes and events you've sent appear here too.

Operators

Each condition uses an operator appropriate to its field:

Operator	Use for
is / is not	Exact match or negation
contains / starts with / ends with	Text matching
equals	Equality
greater than / at least / less than / at most	Numeric comparisons
between / not between	Numeric or date ranges

Combining conditions: AND / OR, and how to exclude

Conditions are combined into groups using AND and OR, and groups can be nested for complex logic — "on checkout AND (rage-clicked OR abandoned a form)."

There is no "NOT" group. To exclude, negate the individual condition with its "is not" operator (or "not between" for ranges) rather than wrapping a group in NOT. For example, "Country is not United States."

Saving the segment

1. Build your filters.

2. Click Save segment…

3. In the Save new segment as… dialog, enter a title and an optional description.

4. Save.

Tip — while you're editing filters but haven't saved, you're working in a temporary "draft" state on top of whichever segment you started from. Saving turns that draft into a permanent, named segment; navigating away without saving discards it.

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11.3 Generating a Segment with AI

If your plan includes the AI filtering feature, you can describe an audience in plain language and let FullSession build the filters for you.

How it works

1. In the Quick Filter box, type a natural-language description — e.g. "mobile users in Canada who rage-clicked in the last week."

2. Click Generate Filters (the wand button) or press Enter.

3. FullSession shows "AI is Generating data please wait" while it works.

4. The generated filters are applied to your draft segment.

5. Review them, adjust if needed, then save the segment (section 11.2) — or discard.

Good to know

• The generator is aware of your custom events and custom attributes, so prompts can reference the events and traits specific to your product.

• It produces an ordinary filter definition — once generated, you can fine-tune every condition by hand.

• If you submit an empty prompt, you'll see "You need to give a description to receive an answer."

• This feature (Smart Filter) is available from the Growth plan ([Chapter 17, section 17.1]); if you don't see the Generate Filters option, it isn't included in your plan.

Tip — treat the AI output as a first draft. It's a fast way to get 80% of a complex segment in place; always glance over the conditions before saving to confirm they match your intent.

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11.4 Segment Size & Stats

When you open a segment, FullSession shows how big it is relative to all of your data — computed live from the current filters.

The stats include:

Stat	Shows
Users	Visitors matching the segment, vs. all visitors
Sessions	Sessions matching the segment, vs. all sessions
Events	Events matching the segment, vs. all events

These are displayed with percentages so you can immediately see what share of your traffic the segment represents. The counts are computed on demand — they reflect the data matching your filters right now, not a cached number — so a segment's size naturally changes as new sessions arrive.

Tip — segment size is a quick sanity check. If a segment you expected to be large comes back tiny (or vice-versa), one of your conditions is probably narrower or broader than you intended.

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11.5 Managing Segments

Your segments live in the Segments list, where favorites are pinned to the top and you can search by name.

What you can do

Action	Detail
Rename / edit description	Update the title and description from the inline editor
Update filters	Save changes to the segment's filter definition. FullSession confirms first: "Are you sure you want to update the filters of [segment]?"
Favorite (star)	Toggle the star to pin a segment to the top
Search	Filter the list by segment name
Delete	Remove a segment, after confirming. (The Everyone segment can't be deleted.)

Ownership and who can edit

Segments are owned by whoever created them, but everyone in the workspace can see all segments. The difference is editing rights:

• You can edit and delete segments you created.

• Segments created by teammates (and built-ins like Everyone) are visible and usable, but you can't edit or delete them.

No private/team toggle. Unlike dashboards, segments don't have a private-vs-team visibility setting — every segment is visible to the whole workspace. Ownership only governs who can change it.

What segments don't have

To set expectations clearly, segments are intentionally simple — these features don't exist:

• No status/lifecycle (no draft/active/archived) — a segment is either saved or deleted; the only flag is favorite.

• No duplication — there's no one-click clone; to base a new segment on an existing one, rebuild and save under a new name.

• No folders/categories — the list is flat, organized only by favorites and search.

• No export and no side-by-side segment comparison (comparison is a funnels feature).

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11.6 Using Segments Everywhere

The payoff of building a segment once is reusing it across the product. A segment can scope:

Where	What it does	Reference
Sessions	Filters the session list to the segment	[Chapter 5 — Sessions]
Dashboards	A connected segment scopes every card on the dashboard	[Chapter 9, section 9.7]
Heatmaps	Restricts a heatmap to the segment's audience	[Chapter 8, section 8.6]
Funnels	Analyzes a funnel for the segment	[Chapter 12 — Funnels]
Lift AI	Runs AI analysis on the segment	[Chapter 14 — Lift AI]
Alerts	Triggers an alert on sessions matching the segment	[Chapter 15 — Alerts & Notifications]

Per-area segment context

Each area keeps its own selected segment, so the segment you're viewing on the Sessions page is independent of the one connected to a dashboard or applied to a heatmap. This lets you analyze the same audience in several places at once without them interfering — pick the segment in each area as you go.

The big picture — a segment is a named, reusable filter definition built with the standard categorized editor (AND/OR grouping, with per-condition is not to exclude), optionally drafted by AI from a plain-language prompt. It reports its size live against your totals, is owned by its creator but visible to the whole workspace, and can be applied across sessions, dashboards, heatmaps, funnels, Lift AI, and alerts. There's no private/team setting, no status lifecycle, and no duplication, folders, export, or comparison.

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Next up: [Chapter 12 — Funnels] builds on segments to analyze conversion — defining multi-step flows, measuring drop-off at each step, and jumping into the sessions behind every lost conversion.