AI segments that update themselves.
Build segments on live behavioral data. RFM, churn risk, and lifecycle stage built in. Every audience updates as customers change.
“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
Segments that update as your customers do.
- Segments built on live behavioral events, updated automatically in real timeCombine AI scores, behavioral events, and manual properties in one audience that spans both anonymous and known users, from the first session through conversion.
- Combine AI scores, behavioral events, and manual properties in one audienceBuild one segment that pulls from every data source available on the unified profile. No stitching, no export, no reconciliation.
- Spans both anonymous and known users, from the first session through conversionTrack visitors before they identify themselves and merge their anonymous history into the known profile automatically when they sign up or log in.
Blu · insight12,400 active users · 23% showing high intent
148 users flagged with declining activity. Enterprise segment 4.2x higher session frequency.
Samantha Miller
Tres Commas
Content Marketing Manager
Lisa Anderson
Endframe
Marketing Specialist
Stella White
Pied Piper
UX Designer
Sarah Chen
Aviato
Product Designer
Robertson Madden
Hooli
Senior Product Manager
Kevin Martinez
DataVault Inc
Data Scientist
Know where each customer stands now.
- Live RFM buckets: Champions, Loyal, At-Risk, Hibernating, and LostRFM scores recalculate continuously as new events come in, with no batch delay and no stale snapshot from last Tuesday.
- Scores recalculate continuously as new events come in, with no batch delayEvery purchase, every session, every abandoned cart updates the RFM profile immediately. Your segments always reflect today.
- Blu explains what drove the movement in each segmentWhen your At-Risk segment grows, Blu tells you exactly which behavioral signal drove the shift and which customers crossed the threshold.
Blu · lifecycle stagesAt-Risk segment grew by 341 this week
341 customers skipped their usual weekly purchase. 78% were previously in your Loyal bucket. Recency score dropped across the cohort.
Champions
1,204
Loyal
3,891
At-Risk
341
Hibernating
892
| Customer | Stage | Recency | Frequency | Monetary |
|---|---|---|---|---|
| user_2841 | Champions | 1d | 18x | $4,210 |
| user_5503 | Loyal | 3d | 11x | $2,640 |
| contact_3318 | At-Risk | 14d | 4x | $1,080 |
| visitor_7723 | Hibernating | 38d | 2x | $290 |
| contact_4412 | At-Risk | 11d | 3x | $720 |
Blu tells you which segment to act on first.
- Blu surfaces the segment that changed most and explains what drove itInstead of monitoring twelve segments manually, Blu watches them all and brings the one that needs attention to the top of your feed with context.
- Draft outreach to target customers in any segment from Blu directlyAsk Blu to write a reactivation message for Hibernating customers and the draft is ready before you finish setup.
- Blu recommends the next action with historical conversion contextEach recommendation includes the expected conversion rate based on your own past campaigns, so you know which action has the highest probability of working.
Blu10 daysYou
Provide a comprehensive summary of the current pipeline. Break down by stage, value and velocity.
Blu
Pipeline Situation — $913K Across 26 Deals
Stage Breakdown
Typical B2B SaaS pipeline progression:
Prospecting/Exploration → 4 deals / $18K
Early-stage prospects learning about CDP solutions
Qualification → 6 deals / $134K
Mid-funnel deals showing intent and initial alignment
Key objection stage → 5 deals / $219K
"We already have Segment" · 3 deals / $120K
Proposals/Negotiation → 5 deals / $329K
Ask BluPipeline value growing with improved velocity
Total pipeline at $1.34M active deals, average deal cycle shortened by 3 days this quarter. 8 deals in late stage with combined value of $500K expected to close within 30 days.
| Name | Stage | Value | Deal owner | Deal type | Priority | Close date | |
|---|---|---|---|---|---|---|---|
| Best Time Messaging Account | Appointment scheduled | $48,600 | BBBob Bi... | New business | Medium | Oct 1, 2025 | |
| Design System Audit | Qualified/prospect | $11,000 | APAudPro... | New business | — | Sep 1, 2025 | |
| Enterprise Platform Expansion | Qualified/prospect | $33,000 | BBBob Bi... | New business | Low | Sep 3, 2025 | |
| Cloud Migration Assessment | Appointment scheduled | $32,500 | BSAbby Singer | New business | High | Aug 30, 2025 | |
| Application Performance Licenses | Appointment scheduled | $33,800 | BBBob Bi... | New business | High | Aug 30, 2025 | |
| DevOps Transformation | Contract sent | $80,000 | BBBob Bi... | New business | High | Aug 15, 2025 | |
| Onboarding Plan Upgrade | Proposal submitted | $22,500 | MSMaria Singer | New business | Medium | Aug 20, 2025 | |
| Security Compliance Package | Appointment scheduled | $19,800 | MSMaria Singer | New business | High | Sep 2, 2025 | |
| Team Collaboration Suite | Contract sent | $38,750 | BBBob Bi... | Existing business | Medium | Aug 28, 2025 | |
| Support Desk Overhaul | Appointment scheduled | $25,400 | MSMaria Singer | New business | Low | Jul 25, 2025 |
Built for the outcomes that matter.
Five analytics use cases teams run on Intempt.
Connect every trusted source.
Plug into the tools your team already runs on.
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FAQ
Frequently asked questions
Everything you need to know about Intempt customer segmentation.
AI customer segmentation is the process of grouping customers into specific customer segments using behavioral signals, predictive scores, and machine learning, rather than manually defined rules. Intempt uses live event data, RFM scores, churn probability, and lifecycle stage to build audiences that update automatically as customer behavior changes, with no manual rebuilding required.
An AI customer segmentation tool for ecommerce combines RFM scoring with behavioral event data to create audiences that reflect actual customer intent. Intempt connects your Shopify store, calculates live RFM scores, and groups your customers into Champions, Loyal, At-Risk, Hibernating, and Lost buckets that update automatically as purchase behavior changes.
A static list is a snapshot of who met a condition at one point in time. Intempt builds segments based on live behavioral queries that run continuously, so you segment customers based on what they are doing now, not where they were last week. When behavior changes, segment membership changes automatically.
RFM stands for Recency, Frequency, and Monetary value. It is a behavioral framework for ranking customers by how recently they bought, how often they buy, and how much they spend. Intempt calculates RFM scores from your live transaction data, updates them continuously, and places every customer into a named bucket.
Yes. You can build any segment using a combination of behavioral events, AI scores, profile attributes, and time-based conditions. Segments can span both anonymous and known users. You can also ask Blu to build a segment in plain language.
Segment membership updates in real time as events arrive. There is no batch processing and no overnight refresh. When a customer's RFM bucket changes because they made a purchase, the segment reflects that within seconds.
Start building segments that update themselves.
Connect your data sources. Intempt builds AI customer segments on live behavioral data, so every audience updates automatically as your customers change.