Segments
Audiences that keep up — no stale export.
Segments update the moment behavior changes.
GRVITY forms living, value-based segments from your customer base.
The need
You want the right audience exactly when it forms.
How it works
01
Build
Compose conditions from properties and events as an AND/OR tree.
02
Evaluate
GRVITY checks them live against profiles and incoming signals.
03
Update
New signals trigger re-segmentation of affected groups.
What's inside
SQL-based live conditions
Nested AND/OR trees
Property suggestions from real profile data
Re-segmentation on new signals
Materialized membership for performance
Static lists for manual selection
Old world → New world
The old way — and the way with GRVITY.
Old worldStatic lists that are stale on export.
New worldLive segments that update with every signal.
Old worldSegmentation via an SQL ticket to the data team.
New worldBuild conditions yourself — AND/OR, evaluated live.
Old worldYou don't know who's currently in.
New worldAlways traceable which condition captures whom.
In daily use
When it kicks in — concretely.
When
Someone goes 30 days inactive.
↓ GRVITY
They slide into the at-risk segment automatically — ready for win-back.
When
A new behavior appears.
↓ GRVITY
Affected segments are recalculated instantly.
What you're wondering
How is this different from lists in my ESP?
Lists are snapshots that go stale. GRVITY segments are living: they update from behavior, people move in and out, without you maintaining them.
Do I have to build segments by hand?
You can — but you don't have to. GRVITY forms value-based segments from the data, and you only refine where you want.
In the Hybrid Spectrum
A target for fixed flows and agentic decisions alike.
Control & safety
Always clear which condition captures whom.
Goes well with
See GRVITY work on your data.
In a short demo we walk the path from signal to action — on your setup.