Intempt
AI Segmentation

Static lists are dead.

Predictive segments built on AI attributes and live behavior. One audience, every activation channel.

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Free forever. Scale with usage.

G2
4.5ON G2
TRUSTED BY GROWTH TEAMS
StockInvestFieldsUSAHoperfy

Audiences that think for themselves

AI attributes on every profile

Research, qualification, likelihood, RFM, next-best-action. Computed continuously, no spreadsheets.

Predictive, not static

Find the people about to act, not the ones who already did. Membership reacts to behavior in real time.

One segment, every channel

Build once. Use across journeys, experiments, personalizations, and ad audiences. No exports, no syncs.

Five AI attribute families on every profile.

  • Research, qualification, likelihoodFirmographics, lead fit, intent, churn risk, and purchase probability scored from real behavior.
  • RFM and next best actionChampions, Loyal, At-Risk buckets refresh as purchase patterns shift. Every profile carries a recommended action.
  • Mix with manual attributesCombine AI scores with plan, country, role, or any custom property in a single rule.

Profile Attribute Types

AI-COMPUTED

🔍

Research

Firmographic & technographic enrichment

🎯

Qualify

Lead scoring on fit & intent

📈

Likelihood

Churn, purchase, upgrade predictions

Next Best Action

Recommended action per user

📊

RFM

Recency, frequency, monetary ranking

MANUAL

PlanCountrySignup DateUTM SourceCompany Size

Segments built on what's about to happen.

  • Distribution and depth, visibleEvery attribute shows bucket distribution, 14-day trend, and statistical depth so you can trust it.
  • Behavior + AI in one ruleVisited pricing AND likelihood > 70. No nightly batch, no waiting on a data team.
  • Anonymous and knownSegments span identified users, accounts, and anonymous sessions. Identity stitching merges history on signup.
NameObjectTypeDescription
Account lifecycleAccount
Text
Account lifecycle stage
Active daysUser
Number
Number of active days
AmountDeal
Number
Deal amount
AssigneeTask
Text
Task assignee
AudienceBrand
Text
Target audience
All dayMeeting
Boolean
Is meeting all day
Churn likelihoodUser
Number
AI churn probability
Churn probability

Likelihood buckets

Conversion likelihood breakdown

Very High

Highly likely to convert

126%

High

Strong conversion potential

3417%

Medium

Moderate conversion chance

4824%

Low

Below average likelihood

5930%

Very Low

Unlikely to convert

4422%

Every segment is a live audience.

  • Native journey activationUse any segment as an entry condition. High-churn users enter win-back flows automatically.
  • Experiment and personalizeRun A/B tests on specific segments. Show different web and in-app experiences per audience.
  • Sync to ads and CRMPush to Meta, Google, and your CRM as native audiences. Membership stays in lockstep.
BluBlu · insight

12,400 active users · 23% showing high intent

148 users flagged with declining activity. Enterprise segment 4.2x higher session frequency.

Lead4
S

Samantha Miller

Tres Commas

Content Marketing Manager

$62k
Medium FitLow Activity
L

Lisa Anderson

Endframe

Marketing Specialist

$55k
Low FitLow Activity
Qualified5
S

Stella White

Pied Piper

UX Designer

$95k
Low FitLow Activity
S

Sarah Chen

Aviato

Product Designer

$78k
Medium FitMedium Activity
Customer6
R

Robertson Madden

Hooli

Senior Product Manager

$185k
High FitMedium Activity
K

Kevin Martinez

DataVault Inc

Data Scientist

$280k
High FitHigh Activity

Ask Blu to build any segment

Describe the audience in plain English. Blu turns it into a live segment using AI attributes and events you already have.

Segmentation Analyst
Segmentation Analyst AgentOnline · ready to run skills

Raw events to live audiences, in three steps

01

Connect & ingest

Stream events and properties from your site, app, and warehouse. Profiles populate in minutes, no schema project.

Create Segment

Data Sources

Connect warehouse

Snowflake · BigQuery

Stream site events

page_view · signup · purchase

Profiles populated

12,438 users · 2,104 accounts

Identity stitched

Anonymous to known

02

AI attributes appear automatically

Research, qualification, likelihood, RFM, and next-best-action compute on every profile and update as behavior changes.

AI Attributes

Live on Profile

Churn likelihood

Recomputed · live

82%

Lead fit score

Recomputed · live

94

RFM bucket

Recomputed · live

Champion

Purchase prob.

Recomputed · live

61%
03

Activate everywhere

Use any segment in journeys, experiments, personalizations, and ad audiences. Membership stays live across every channel.

Activate Segment

Channels

Journey · Win-back

Triggered · 1,284 users

Experiment · Variant B

Cohort targeted · 720

Personalize · Hero

Swap rendered · 2.4k

Meta audience

Synced · 1,284 profiles

Activate to the tools you already use

Sync any segment to Meta, Google, LinkedIn, HubSpot, Salesforce, and more. No reverse ETL.

Integration
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SOC 2 Type II
GDPR Ready
CCPA Compliant
TLS/SSL Encrypted
Consent-aware tracking

Predictive targeting. Consent-aware. No trade-off.

AI segmentation. Included from day one.

No add-on, no per-segment fees, no scoring tool to license separately.

What teams stitch together

  • Customer.io segments, static and rule-based only
  • ML scoring tool, separate billing, separate model ops
  • Reverse ETL to push audiences to ad platforms
  • Spreadsheets to keep RFM buckets up to date
Result: 4 tools, stale audiences, slow activation.

What you get with Intempt

  • AI attributes on every profile, computed live
  • RFM segmentation, 6 buckets, automatic
  • Next best action and product per user
  • Mix events, AI scores, and properties in one rule
  • Activate to journeys, experiments, ads, and CRM natively
  • No per-segment fees, no caps

What our customers have to say

Jim Stromberg
StockInvest
01 / 03
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.

Frequently asked questions

HubSpot and Klaviyo segment on static properties and basic engagement metrics. Intempt segments on AI-computed attributes (churn likelihood, qualification score, next best action, RFM stage) combined with real-time behavioral events. Segments update continuously and connect directly to journeys, experiments, and personalizations in the same platform. No export, no sync.

AI attributes are fields on user and account profiles computed automatically by Blu's agents. Research attributes pull firmographic and technographic data. Qualification attributes score leads on fit and intent. Likelihood attributes predict outcomes like churn or purchase. RFM attributes rank customers by value. Next Best Action attributes recommend what to do with each user. All update in real time.

Yes. A single segment can mix AI-computed fields (churn score > 70%), behavioral events (visited pricing in last 7 days), manual attributes (plan = Pro), and user properties (country = US) in one rule.

Yes. Segments recalculate as users act. A user who triggers an event or whose AI score changes enters or exits the segment immediately. No nightly batch, no manual refresh.

Yes. Every segment is available as a targeting condition across all activation tools. Build once, use everywhere. The same segment can trigger a journey, target an experiment, personalize a web experience, and filter a recommendation widget simultaneously.

Intempt automatically groups customers into RFM segments (Champions, Loyal, At-Risk, Hibernating, Lost) based on recency of purchase, frequency of purchase, and monetary value. Segments update as behavior changes. No spreadsheet analysis.

Connect your sources and the first behavioral and AI-computed attributes appear in under an hour. Predictive models like churn and likelihood reach stable accuracy after 7 to 14 days of event data, depending on volume.

No. Segments are built in a visual rule builder using AI attributes, events, and properties. Marketers and product managers ship segments directly. Analysts can layer in custom SQL when needed.

Yes. Segments work across identified users, accounts, and anonymous sessions. As anonymous visitors get identified, their full event history merges into the user profile and segment membership recalculates automatically.

Yes. Any segment can sync as a native audience to Meta, Google, LinkedIn, HubSpot, and Salesforce. Membership stays in lockstep with behavior. No reverse ETL tool needed.

No. AI Segmentation has no per-segment fees and no caps. Build as many as you need.

AI Segmentation is included in every Intempt plan, including the free tier. No add-on, no per-segment pricing.

Shopify Certified App
HubSpot App Partner
Stripe Partner
AICPA SOC
GDPR Compliant

Stop maintaining lists. Start activating audiences.

Connect a source, watch AI attributes appear, ship your first predictive segment in an afternoon.

AI Segmentation | Predict, Score & Segment Every Customer | Intempt