Scores RFM, churn, ICP fit, and next best product live, on one customer context. The Data Analyst agent keeps every score current - no batch refresh.
0.0on G2RFM scoring groups customers by how recently they bought, how often they buy, and how much they spend - and every score updates automatically as behavior changes, no nightly batch required.
Likelihood scores estimate the probability of any outcome: purchase, churn, upgrade, or reactivation. Qualify scores measure how well a customer matches your ICP based on behavioral and firmographic signals.
Calculate defines custom derived metrics from any event data. Research enriches every customer profile with external firmographic data. Next Best Product recommends the most relevant product for each customer in real time.
Instead of reviewing attribute scores manually, ask Blu which customers are moving in the wrong direction and which attribute is driving it.
"Which customers crossed the At-Risk RFM threshold this week?"
"Show me customers with a high churn likelihood and a low Qualify score."
"Which customers have the highest Next Best Product score for the Pro plan upgrade?"
"How many customers moved from Loyal to Hibernating in the last 30 days?"
Blu is not a search bar. It is an analyst who already knows every attribute score.
Connect your product and billing data sources. Intempt starts calculating RFM, Likelihood, Qualify, and Next Best Product scores immediately from your live event data - no model training required before your first scores appear.
Intempt recalculates every AI attribute with every new event. When a customer's RFM bucket changes, the update is reflected within seconds and the customer moves to the relevant segment automatically.
Every segment built on AI attributes updates in real time as scores change. When a customer moves from Loyal to At-Risk, they move between segments automatically and the journey recipe for that segment fires without a manual handoff.
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 AI Attributes.
Set the formula once - that is the strategy layer. The Data Analyst agent recalculates every attribute as new events land, so your segments never run on a stale score and nobody exports a list to score it somewhere else.
