Your segments refresh while you sleep.
Replaces static lists with AI attributes that update live - the Data Analyst agent keeps every segment current. RFM, churn, ICP fit, next best product.
0.0on G2Six AI attributes. Every customer scored automatically.
The attributes that power every segment.
Groups every customer into Champions, Loyal, At-Risk, Hibernating, and Lost based on recency, frequency, and purchase value - updated live from every transaction.
Scores every customer on the probability of any outcome you define: churn, conversion, upgrade, or reactivation.
Measures how closely each customer matches your ICP using behavioral signals and firmographic data.
Defines any custom derived metric from your event data - total spend in 90 days, average session length, or any formula you need.
Automatically enriches every customer profile with external firmographic and company data using AI.
Recommends the most relevant product for each customer based on their behavioral history and purchase patterns - updated in real time.
Segments that update as behavior changes. No stale lists.
Build audiences on live behavioral events and AI scores - membership updates automatically the moment behavior changes, with no manual refresh and no stale list.
- Events, scores and propertiesCombine live events, computed scores and custom properties in one definition.
- Anonymous and known in one segmentThe first session and the paid account are the same person to the segment.
- Thresholds move peopleCrossing a computed-attribute threshold moves someone in or out on its own.
Every customer scored on six dimensions. All automatically.
RFM tells you where customers stand today. Likelihood tells you where they are heading. Qualify tells you how well they fit. Together, they give you context that a basic demographic segment never could.
- Six attributes, no trainingThey calculate from live event data. There is no model to train first.
- Scores recalculate on every eventA transaction, a session or an engagement event re-scores immediately.
- Membership follows the scoreAs a score shifts, the customer moves between segments without a rebuild.
From segment to action in one step. One click away.
Every segment connects directly to journeys, personalization, and sales workflows. When a customer crosses an At-Risk threshold, the right journey triggers automatically with no manual handoff.
- Act from the segmentStart a journey from the segment you are looking at.
- Sync to the CRMSegments land in HubSpot or Salesforce so sales workflows can trigger on them.
- Personalize from the segmentChange the on-site experience for a segment without moving to another tool.
Ask Blu which segment needs attention now.
Instead of reviewing segment sizes manually every week, ask Blu which segment changed the most and what is driving it.
"Which customer segment has the highest churn risk right now?"
"Find users who crossed the At-Risk RFM threshold this week."
"Show me customers with a high Likelihood score for the Pro upgrade."
"Which segment should I focus retention spend on this week?"
Blu is not a search bar. It is an analyst who already knows every segment and every score.
From customer behavior to live segments, automatically.
Connect your data and AI attributes start calculating.
Connect your product and billing sources. Intempt begins calculating RFM, Likelihood, Qualify, and Next Best Product scores immediately from your live event data - no setup required before your first segments are useful.
Build segments on any AI attribute or behavioral event.
Open the segment builder, set your conditions - a single attribute threshold, a score combination, or a behavioral sequence - and your first audience is live in real time with no SQL required.
Segments trigger journeys and workflows automatically.
When a customer's score shifts and they move into a new segment, the right journey, personalization rule, or sales workflow triggers automatically with no polling delay and no manual rebuild.
Wired into the toolsyour team already opens.
Slack, Stripe, Twilio, SendGrid, Gmail, Google Calendar, Firebase, Apache Kafka, AWS. Blu Agent operates them for you without a browser tab.
Teams love it
They stopped stitching tools andhired one system.
StockInvest
“Acquisition and retention finally feel like one connected motion instead of two separate problems.”
Jim Stromberg
CEO, StockInvest
FieldsUSA“We finally have one system that sees the whole customer journey.”
Eric Gardner
COO, FieldsUSA
Hoperfy“With Intempt, we built a signal-led pipeline driven by real behaviors.”
Tadas Kertenis
Co-founder, Hoperfy
Frequently askedquestions.
Everything you need to know about Intempt Segmentation.
- Not while it stays four tools with three seams. None of the seams carry an identity, so there is no single view of ad click to signup to trial to paid to build an audience on. Point the sources here and every event lands on one profile under one taxonomy, so a single definition can span the ad click, the signup, the trial and the paid plan. The segment also resolves in place, so no CSV leaves for a second tool and comes back stale. There is no analyst to staff for it either: you describe the audience, keeping it current is a standing skill the Data Analyst agent runs, and membership updates on its own as behavior changes.
Every customer scored. Every segment live.
Describe the audience once - that is the strategy layer. The Data Analyst agent keeps membership current as behavior changes, so nobody re-runs the query by hand and no list leaves for a second tool.