Data Hub · One truth

Unify your customer data in real time

No warehouse. No ETL. No CDP tax. The same profile that tracks fires the journey, runs the experiment, and powers the recommendation.

Stop losing customers you already have data on.

Fragmented records mean missed signals and wasted spend. Intempt merges every source into one profile, automatically.

Account Researcher

Fragmented records aren't a data problem. They're a revenue problem.

Every source stitched into one profile

Web, app, server, CRM, and third-party events resolve to a single record per customer. When an anonymous visitor identifies, all prior session history attaches instantly.

Anonymous-to-known merge fires immediately

The moment an identifier appears — email capture, login, purchase — prior history stitches to the known profile. No batch delay, no manual merging.

Account enrichment from /account-intelligence

Run /account-intelligence and Blu pulls firmographic data, tech stack, and key contacts into the account profile — so every team reads from the same enriched record.

User-to-account mapping for B2B

Individual users link to company accounts automatically. Sales, CS, and marketing all see the same unified view without reconciling separate systems.

Invoke a skill

When a trial user signs up, Blu already knows their company size, tech stack, and ICP fit from account enrichment. Sales gets context before the first touch.

Know who's about to convert, before they do.

Stale scores send the wrong message at the wrong time. Intempt recalculates LTV, churn risk, and propensity from live events, continuously.

Computed traits and AI scores updating in real time on customer profiles

Account Researcher

Scores that recalculate from live events, not last week's spreadsheet.

Lead score built from behavioral and firmographic signals

/account-intelligence scores accounts on intent signals — pricing page visits, demo requests, content downloads — combined with ICP fit attributes like company size and industry.

Churn risk updated continuously

Session frequency decline, feature drop-off, and payment failures combine into a churn risk score that updates daily. Intervention journeys fire before the customer decides to leave.

Expansion signals surface automatically

Usage growing, new users onboarded, contract renewal approaching — /account-intelligence identifies expansion opportunities with estimated value and recommended action.

Every score available as a journey trigger or segment filter

Scores flow directly into journey entry conditions, segment definitions, and CRM fields — no export, no sync, no delay.

Invoke a skill

Run /account-intelligence on your portfolio and at-risk accounts surface sorted by ARR. The largest revenue at risk gets the intervention first.

Activate fast. Never break compliance.

Consent, retention, and access controls are built into the data layer. Every journey stays compliant without anyone enforcing it manually.

Consent and governance controls applied across customer data in Intempt

Account Researcher

Governance built into the data layer — not enforced by a person.

Consent, retention, and access controls configured once

/compliance-setup from RevOps Automator configures GDPR/CCPA suppression, retention rules, and field-level access controls that apply automatically across every journey, experiment, and workflow.

Opted-out users excluded from every active journey

Consent signals propagate instantly. The moment someone opts out, they exit every active flow — no manual suppression list, no sync delay.

Event schema validated before it reaches profiles

/data-quality monitors source health and flags schema violations before bad data pollutes customer profiles — preserving the data that powers every downstream decision.

Audit log captures every profile change

Every schema edit, access event, and profile update is logged — so compliance review has a complete record without anyone maintaining it manually.

Invoke a skill

Teams that configure compliance at the data layer stop manually maintaining suppression lists. Opt-outs propagate across every active journey automatically.

How Customer Data Management Works

From scattered sources to a unified profile that activates in four steps.

Connect your data sources

Connect via SDK, API, or native connector. Every event flows into the same customer profile. No data engineering required.

Blu resolves identities and stitches profiles

When a visitor identifies, all prior history stitches to their profile instantly. One record per customer, across every device and source.

Identity resolution stitching anonymous sessions to known profiles in Intempt

Computed traits auto-update as behavior changes

LTV, churn risk, and purchase propensity recalculate from live events. No cron jobs, no manual refreshes. Scores are always current.

Unified profile powers journeys, experiments, personalization and recommendations.

The same profile triggers journeys, runs experiments, and updates CRM records. No exports, no sync delays. One source of truth across every channel.

Meet Blu

Your data has an analyst. It keeps every profile current and ready to act.

Blu scores accounts, resolves identities, and surfaces expansion signals.

See how Blu works

Real results, not just tech

We drive measurable outcomes in the first 90 days. Beyond the platform.

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.

Growth tactics showcase featuring analytics, product recommendations, and customer engagement tools

Unlock advanced CDP tactics

Explore a curated library of proven customer data playbooks. Filter by use case, industry, and complexity to discover tactics that unify your customer data and power personalization at scale.

View CDP Growth Plays

Explore more products

Everything else that turns your data into revenue.

Journeys

Orchestrate cross-channel customer interactions triggered by real-time data.

Analytics

Spot funnel drops, revenue trends, and user behaviour from your real event data.

Experiment

Run A/B and champion/challenger tests with CUPED variance reduction.

Personalize

Deliver individualized site and in-app experiences based on live behavior.

Scattered data doesn't activate. Unified profiles do.

Blu builds the profile. The platform does the rest.

Start for Free See Pricing

Frequently asked questions

Customer data management basics

Event tracking captures actions. A CDP unifies identity, profiles, and context across sources, then makes that data usable for activation. In Intempt, the CDP is what lets Journeys, Experiences, CRM workflows, and Analytics run off the same real-time profile without exporting, syncing, or rebuilding audiences in each tool.

It starts with anonymous identifiers like device or session IDs. When a known identifier appears email from a form, a logged-in user ID, a purchase the system links all prior anonymous history to the known profile. This prevents 'new user' resets when someone returns or switches devices, and ensures that journey triggers fire with full behavioral context, not just the current session.

Events stream into Intempt and update profiles immediately there is no batch delay. This matters when you want to react during the session or right after a key action. Pricing page visits, activation milestones, cart events, and churn signals lose value fast. When events flow in immediately, journeys can trigger, experiments can branch, and CRM workflows can fire while intent is still high.

Static fields go stale. Computed traits recalculate from live behavior and history. Examples include LTV, last seen, RFM stage, engagement score, likelihood to convert, and churn risk. Blu builds these from your event stream and keeps them current automatically so targeting and scoring always reflect what customers actually did recently, not what was true when someone last exported a CSV.

Governance decides what can be collected, stored, and activated. Consent controls whether tracking starts and which identifiers can be used. Retention rules control how long data is kept. Access controls prevent sensitive fields from being exposed broadly. In Intempt, these are built into the data layer opt-outs propagate across journeys and experiments automatically, and audit logs capture every change for compliance review.