Know every customer. Automatically.
Intempt calculates RFM scores, churn likelihood, ICP fit, next best product, profile enrichment, and custom calculations for every customer. Updated in real time as behavior changes.
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Score every customer on recency, frequency, and value. Updated automatically.
RFM 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.
- Six RFM buckets: Champions, At-Risk, Promising, and more
- Scores recalculate in real time from every new transaction event
- Segments built on RFM move customers between buckets automatically as their behavior shifts
Score every customer on likelihood and fit. Continuously updated.
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.
- Likelihood scores for any outcome you define, updated continuously from live behavioral data
- Qualify scores measuring ICP fit from engagement signals and firmographic attributes
- High-fit, high-likelihood customers can route to sales automatically when thresholds cross
Calculate, enrich, and recommend — automatically. No model training.
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.
- Calculate: define any derived metric from events or properties, updated live as data arrives
- Research: AI-sourced firmographic enrichment added to every profile automatically
- Next Best Product: personalized recommendation model, not a bestseller list
Ask Blu which attribute to act on first.
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.
From live data to scored customer profiles, automatically.
Connect your data and AI attributes start calculating.
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.
Every attribute updates in real time as behavior changes.
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.
Segments built on attributes update without manual rebuilds.
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 trigger the appropriate journey.
Connect every trusted source.
Plug into the tools your team already runs on.
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Certified & Compliant
Your customer data stays yours, and stays secure.
The teams that made the switch
“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
Case Study
StockInvest needed to turn anonymous traffic into registered users before any retention strategy could work. With Intempt's Experiences, they personalized the anonymous visitor flow, surfacing the right content and CTAs to boost signup conversion. Once users signed up, automated Journeys nurtured them through onboarding and deeper engagement, steadily increasing lifetime value.
FAQ
Frequently asked questions
Everything you need to know about Intempt AI Attributes.
AI attributes are calculated customer properties that Intempt generates automatically from your event data. They include RFM scores, churn and conversion likelihood, ICP qualification fit, Next Best Product recommendations, firmographic enrichment, and custom calculated metrics. Every attribute updates in real time as new events arrive.
Score every customer. Automatically.
Connect your data source and every AI attribute starts calculating before your next meeting. Segments built on those attributes update in real time from the first event.