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.
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.
Build audiences on live behavioral events and AI scores - membership updates automatically the moment behavior changes, with no manual refresh and no stale list.
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.
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.
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.
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.
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.
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.
Slack, Stripe, Twilio, SendGrid, Gmail, Google Calendar, Firebase, Apache Kafka, AWS. Blu Agent operates them for you without a browser tab.
“We were losing visitors before they signed up. Intempt's personalized experiences changed that - we started meeting people where they were instead of guessing. Once they're in, Intempt's automated email takes over and keeps the relationship moving. Acquisition and retention finally feel like one connected motion instead of two separate problems.”
Jim Stromberg
CEO, StockInvest
“Intempt helped us turn real browsing and purchase signals into personalized experiences that drive repeat buying. We finally have one system that sees the whole customer journey.”
Eric Gardner
COO, FieldsUSA
“With Intempt, we built a signal-led pipeline driven by real behaviors. Follow-ups are triggered by intent signals instead of timelines, so we only focus on users who are truly engaging.”
Tadas Kertenis
Co-founder, Hoperfy
Everything you need to know about Intempt Segmentation.
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.
