Static lists are dead.
Predictive segments built on AI attributes and live behavior. One audience, every activation channel.
Free forever. Scale with usage.
Ask BluUser base showing healthy engagement signals
Active user base of 12,400 with 23% showing high intent signals. Top segment is Enterprise users with 4.2x higher session frequency. 148 users flagged with declining activity.
| User | Account | Job Title | Tags | Connection strength | ||
|---|---|---|---|---|---|---|
VLVanessa Lee | TechFlow Systems | vanessa.lee@techfl… | Training Coordinator | Operations+3 | Very weak | |
TMTyler Martinez | InnovateLab | tyler.martinez@inn… | Brand Manager | Marketing+3 | Weak | |
TBTiffany Brown | MailerLite | tiffany.brown@mail…Found | Email Marketing Specialist | Marketing+3 | Weak | |
SLStephanie Lewis | Infinite Creator | stephanie.lewis@in…Validated | Graphic Designer | Design+3 | Good | |
SWStella White | Pied Piper | stella@piedpiper.c… | UX Designer | Design+3 | Weak | |
SAScott Anderson | DataVault Inc | scott.anderson@dat…Validated | Solutions Architect | Technical+3 | Strong |
AI Attribute Types
4.5ON G2
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
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.
| Name ↓ | Object | AI Type | Data type | Status | Description | |
|---|---|---|---|---|---|---|
| About Brand | Brand | – | T Text | Visible | Brand description | |
| Account lifecycle | Account | – | T Text | Visible | Account lifecycle stage | |
| Active days | User | – | # Number | Visible | Number of active days | |
| All day | Meeting | – | ⊙ Boolean | Visible | Is meeting all day | |
| Amount | Deal | – | # Number | Visible | Deal amount | |
| Assignee | Task | – | T Text | Visible | Task assignee | |
| Audience | Brand | – | T Text | Visible | Target audience |
Likelihood buckets
Analyze each likelihood bucket within a data table breakdown
Very High
Highly likely to convert
High
Strong conversion potential
Medium
Moderate conversion chance
Low
Below average likelihood
Very Low
Unlikely to convert
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.
Ask BluUser base showing healthy engagement signals
Active user base of 12,400 with 23% showing high intent signals. Top segment is Enterprise users with 4.2x higher session frequency. 148 users flagged with declining activity.
Parker Mcconnell
Sliceline
Data Analyst
55 emp · $35k
Keller Madden
Endframe
Software Engineer
42 emp · $45k
Samantha Miller
Tres Commas
Content Marketing Manager
185 emp · $62k
Lisa Anderson
Endframe
Marketing Specialist
42 emp · $55k
Stella White
Pied Piper
UX Designer
85 emp · $95k
Sarah Chen
Aviato
Product Designer
95 emp · $78k
Robert Brown
Sliceline
AI Research Scientist
55 emp · $195k
Michelle White
Hooli
UI/UX Designer
250 emp · $135k
Robertson Madden
Hooli
Senior Product Manager
250 emp · $185k
Kevin Martinez
DataVault Inc
Data Scientist
350 emp · $280k
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.
Raw events to live audiences, in three steps
Connect & ingest
Stream events and properties from your site, app, and warehouse. Profiles populate in minutes, no schema project.
DATA SOURCES
Connect warehouse
Snowflake · BigQuery
Stream site events
page_view · signup · purchase
Profiles populated
12,438 users · 2,104 accounts
Identity stitched
Anonymous → known
AI attributes appear automatically
Research, qualification, likelihood, RFM, and next-best-action compute on every profile and update as behavior changes.
LIVE ON PROFILE
Churn likelihood
Recomputed · live
Lead fit score
Recomputed · live
RFM bucket
Recomputed · live
Purchase prob.
Recomputed · live
Activate everywhere
Use any segment in journeys, experiments, personalizations, and ad audiences. Membership stays live across every channel.
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.
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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
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
Real customers. Real results. Inside 90 days.
Faster launches, higher conversion, lower tool spend, measured in the first quarter, not the first year.
“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.
Questions we actually get asked
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.
Stop maintaining lists. Start activating audiences.
Connect a source, watch AI attributes appear, ship your first predictive segment in an afternoon.