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Intempt
Customer Data Platform

One profile every tool can read.

Unify profiles, activate every event, and score users live - the Data Engineer agent keeps the schema honest, so five data silos become one identity graph.

Start for free
G2
0.0on G2
10B+events
500M+users
7+years profitable
50+enterprises

One profile. Every source.

Web, app, CRM, email, ads: every event lands in the same profile, automatically. No manual joins.

Anonymous to known, instantly

The moment a visitor identifies, every anonymous session stitches to their profile. No batch delay.

Scores that update as you watch

LTV, churn risk, fit score, recalculated from live events. Always current, always ready to activate.

Stop guessing. Know who's about to churn.

  • Lifecycle scores out of the boxRecency, Frequency, Monetary, Activity, Fit, and Churn Risk, calculated live from every event.
  • Segments that self-updateBuild "high churn risk" once; membership updates automatically as behavior changes.
  • Ask Blu what's driving itGet a plain-language breakdown of which users are at risk and why. No SQL needed.
RFM lifecycle and fit scores per user

B2B? Link every user to their account.

  • Auto user-to-account linkingIntempt resolves associations from email domain and CRM; no manual mapping required.
  • Account enrichment on signupFirmographic data (industry, size, location) added automatically via People Data Labs.
  • Portfolio-level intelligenceSee which accounts are expanding or contracting in one unified view.
Users automatically merged into accounts by email domain

Replace your data stack. Keep the value.

  • 60+ native integrationsJavaScript, iOS, Android, REST API, HubSpot, Shopify, Stripe, GTM, and more.
  • No ETL, no warehouseData lands directly in the activation layer. No intermediate storage to maintain.
  • Compliance baked in, not bolted onGDPR and CCPA controls live at the data layer, not added as a bolt-on.
Sources, platforms and destinations available out of the box

Your data, answered in plain language

Ask Blu anything about your customer data. No SQL, no dashboards, no waiting for an analyst.

Data Analyst
Data AnalystOnline · ready to run skills

Three steps to a live customer data platform

01

Connect your sources

Add the JavaScript snippet, install an SDK, or connect HubSpot/Shopify. Events start flowing in minutes.

Add Integration

Sources

JS
JavaScript
Web tracking
Node
Node JS
Server-side
iOS
iOS
Mobile analytics
Droid
Android
Android analytics

02

Profiles build themselves

Intempt stitches anonymous to known, maps users to accounts, and calculates traits, automatically in real time.

Anonymous → Known
session_8a → sarah@meridian.io
LTV recalculated
Meridian · $12,400 → $18,200
Account associated
5 users → Northwind
Score updated
Fit score · 72 → 88

03

Activate everywhere, instantly

The same profile powers journeys, personalization, experiments, analytics, and recommendations. No exports needed.

Profile powers journey trigger
Cohort branched into experiment
Recommendation served live
Analytics report refreshed
Consent + retention applied

Your existing tools, finally talking to each other

60+ native connectors: Shopify, HubSpot, Stripe, Salesforce, and more. No middleware.

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Everything in one plan. Starting at $0.

Replace your data stack for less than the cost of a single point solution.

What teams stitch together today

  • Segment (collection + identity): separate billing
  • Data warehouse: separate billing, separate maintenance
  • ETL pipeline tool: breaks, needs engineer to fix
  • Compliance tool: yet another subscription
4 tools, fragmented data, slow activation

What Data Hub gives you

  • Unified customer profiles: unlimited events, real-time
  • Identity resolution: anonymous + known, automatic
  • Computed traits (LTV, churn risk, lifecycle stage): live
  • 60+ source integrations: HubSpot, Shopify, Stripe, and more
  • Built-in GDPR & CCPA consent controls
  • Powers every Intempt product: no extra integration work

In the words of50+ live tenants.

Jim Stromberg, CEO at StockInvest

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

Eric Gardner, COO at FieldsUSA

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

Tadas Kertenis, Co-founder at Hoperfy

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

Frequently askedquestions.

  • It removes the seams. Four tools with three seams between them, and no single view of ad click to signup to trial to paid, because none of the seams carry an identity. One snippet collects the events here, anonymous sessions stitch onto the known profile the moment someone identifies, and events, profiles and accounts share one taxonomy - so an audience gets filtered where it already lives instead of exported to a second tool to be useful. Nothing in front of that needs a data scientist or an analyst on staff: LTV, churn risk and lifecycle stage compute on their own from live events, keeping the sources healthy is a standing skill the Data Engineer agent runs, and most teams see live profiles in the same session they start setup.
Intempt Data

Six tools. Six profiles. One customer.

Connect your first source in minutes. Every signal lands in one live profile, with no warehouse round-trip and no analyst to wait on - build your first segment before your next meeting.

Start for free