Journeys · Always-on

Fewer messages. More of the right ones.

Orchestrate cross-channel customer interactions triggered by real-time data. Every message reaches the right individual customer at the exact moment they are ready to act.

AI segmentation — journeys triggered by behavior, not list membership.

Intempt's AI segments users by what they actually do — product actions, engagement patterns, lifecycle stage — and triggers journeys the moment behavior changes. No manual rules. No stale lists.

AI segmentation powering real-time journey triggers in Intempt

Journey Builder

AI builds, scores, and maintains the segment — the journey fires when the signal is right.

AI segments from live behavioral signals

Every event — feature usage, page views, purchases, sessions — feeds the AI segment in real time. The segment reflects where the customer is right now, not where they were last week.

Scores and tiers users automatically

Trial users are scored on activation events, ICP fit, and engagement — placed into At Risk, Exploring, or Product Qualified without a single manual rule written.

Journey entry and exit update continuously

Users enter a journey the moment they match. They exit the moment their behavior changes. No stale lists. No batch jobs. No one gets the wrong message.

Exclusions prevent overlap automatically

AI segmentation ensures users already in a journey don't receive a conflicting one. Active users are excluded from win-back. Converted users exit trial nurtures immediately.

Invoke a skill

By Day 7 of a trial, every user is in the right AI segment. At Risk gets help. Product Qualified gets social proof and a sales nudge — all without anyone building a manual rule.

Every channel from one canvas

Deliver personalized customer experiences across email, SMS, push, and in-app from one cross-channel canvas.

Journey Builder

One canvas. Every channel. No tool-switching.

Email, SMS, push, and in-app in one flow

/cart-recovery runs email at 1h, SMS nudge at 4h, urgency email at 24h — all on one canvas, all reading the same profile.

Branches by business model

/welcome-series detects whether you're eCommerce, SaaS, or B2B and builds the right sequence — 5 emails over 10 days, 7 days, or 14. Built once.

Timed to real events, not calendars

/post-purchase fires the review request when order_delivered fires — not 7 days after purchase regardless of whether it arrived.

Triggers external systems mid-journey

Webhook steps alert Slack, update CRM records, or hand off to sales — without leaving the canvas.

Invoke a skill

/cart-recovery recovers revenue across three channels in one flow. Teams that consolidate stop rebuilding the same audience four times.

Know what worked, change what didn't

Customer journey analytics and Champion/Challenger testing built in. Improve conversion rates without rebuilding from scratch.

Journey analytics and A/B testing dashboard in Intempt

Journey Builder

Every skill ships with its own test and dashboard.

A/B tests built into the skill

/win-back runs discount vs. value-only for the Cold tier automatically. You find out if you were giving away margin — without setting up a separate experiment.

Algorithm tests on recommendation content

/browse-abandonment tests exact viewed products vs. trending in category. The winning approach auto-ships.

Retention cohorts show whether it actually worked

/trial-activation builds a cohort that tracks whether re-engaged users stick at 4 and 12 weeks — not just whether they clicked.

Step-level drop-off on every live journey

You see exactly where users abandon the flow — not just that conversion dropped.

Invoke a skill

Most teams discover they were over-discounting the wrong segment. The win-back discount test answers it in the first cycle.

How Customer Journey Orchestration Works

From raw events to optimized multi-channel flows in four steps.

Connect your data sources

Integrate behavioral events via SDK, API, or native connector. CRM fields, page views, purchases, and custom events all flow into the same event stream. Every event becomes a trigger candidate for your journeys. No data engineering required.

Data sources panel showing connected integrations and live event stream

Blu maps the journey for you

Describe what you want in plain language. Blu's Journey Builder reads your event data, identifies the target segment, and proposes a complete multi-step flow with trigger conditions, branching logic, channel selection, delay blocks, and a goal event. You get a full draft, not a blank canvas.

Blu chat generating a complete journey flow from a text prompt

Review, edit, and approve before anything sends

The drafted journey appears on the visual canvas as a complete flow. You can edit any step, swap channels, adjust copy, or add a champion/challenger split. Nothing sends until you approve. Intempt never auto-ships campaigns. You are always in control.

Journey canvas showing a multi-step flow ready for approval

Results feed back and make the next cycle smarter

Once live, Intempt tracks every step: users entered, progressed, dropped off, and converted. Step-level data shows exactly where people abandon the flow. Champion/challenger tests run in parallel and traffic shifts to the winner automatically. You iterate on the same canvas, informed by what actually happened.

Journey analytics dashboard with per-step conversion rates and champion/challenger results

Meet Blu

Your journeys have a co-pilot. It never sleeps.

Blu drafts flows, reads results, and tells you what to do next.

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.

Explore more products

Everything else that turns your data into revenue.

Data Hub

Unify events, profiles, and behavioral data from any source into one stream.

Experiment

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

Personalize

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

Recommend

Surface the right products to the right person using 35 AI-driven algorithms.

Stop guessing. Start triggering.

Blu drafts the flow. You approve it. Nothing sends without you.

Start Building for Free See Pricing

Frequently asked questions

Journey orchestration basics

Customer journey orchestration is the practice of coordinating every customer interaction across channels in real time, based on where an individual customer is in their journey and how they behave. Unlike static email sequences or batch campaigns, journey orchestration platforms respond to live customer data: when a customer views a product, abandons a cart, completes a trial milestone, or goes quiet for seven days, the right next step fires automatically. Intempt's Journey Builder connects real-time customer data to cross-channel delivery on a single visual canvas, so every message is earned by behavior, not scheduled by a calendar.

Marketing automation typically means rule-based sequences triggered by list membership or fixed time delays. Customer journey orchestration goes further: it reads real-time customer data at every step, routes each individual customer based on what they actually do, and adapts the journey mid-flow when behavior changes. Where automation asks who is on this list, orchestration asks what is this person doing right now and what should happen next. The result is a more relevant customer experience, higher conversion rates, and stronger retention rates.

Customer journey mapping is the planning layer: identifying every touchpoint where a customer interacts with your brand, from first visit through purchase, retention, and expansion. Journey orchestration is the execution layer: using that map to deliver personalized customer experiences at each touchpoint in real time. Intempt supports both. The visual canvas serves as your journey map, and the behavioral trigger engine executes it automatically using live customer data. See how lifecycle orchestration works across the full customer lifecycle.

Hyper-personalization means using real-time insights from customer data (behavioral signals, purchase history, session activity, firmographic attributes) to deliver messages that are specific to each individual customer, not just their segment. Rather than sending a cart abandonment email to all abandoners, hyper-personalization sends a different message to a first-time abandoner than to a repeat buyer who left a high-value item. Intempt reads from a unified customer profile at every journey step to deliver this level of specificity without manual segmentation work. Learn more about personalization in Intempt.

Platform and channels

Intempt Journeys natively supports email, SMS, web push, mobile push, in-app messages, and webhooks for custom integrations. All channels share a single customer profile as the data source, so a journey can send an email, wait for a behavioral event, then branch to SMS if unopened or to in-app if the customer is active in the product. Cross-channel orchestration from one canvas, one data layer, one bill.

Every journey begins with a trigger block that fires when a specific event occurs in your real-time data stream: a purchase, an abandonment, a feature being used, or a computed trait crossing a threshold. Each step reads from the live customer profile, not a static snapshot taken at entry. Users who complete the goal event exit automatically. This means every message responds to where the individual customer is right now, not where they were when they entered the segment. See how Intempt collects and unifies customer data.

Yes. Intempt uses machine learning in several places: AI attribute scoring models build behavioral and firmographic scores for trial activation and churn prevention, collaborative filtering powers product recommendation feeds, and CUPED variance reduction accelerates A/B test significance. Blu, the AI agent layer, reasons over your customer data to propose journey structures, segment logic, and optimization ideas based on what the data shows. Learn more about Blu.

Yes. Intempt handles the same core use cases: abandoned cart, post-purchase, win-back, welcome series, and list-based sends. The key differences are that Intempt bills on monthly active users rather than total stored contacts, adds channels Klaviyo does not support natively (push and in-app), and includes customer journey analytics, A/B testing, and funnel reporting in the same platform. See a full Klaviyo vs Intempt comparison.

Results and use cases

Journey orchestration improves conversion rates by reaching each customer at the moment they are most likely to act, rather than on a fixed schedule. It improves retention rates by identifying risk signals early (reduced session frequency, feature non-adoption, spending drops) and triggering intervention journeys before a customer churns. Teams using behavioral triggers consistently send fewer messages while seeing higher conversion because every message is contextually relevant to what the individual customer just did. See how Intempt approaches conversion rate optimization.

Intempt handles eCommerce journeys (cart abandonment, browse abandonment, post-purchase nurture, win-back, replenishment, loyalty) and SaaS lifecycle journeys (trial activation, churn prevention, feature adoption, upgrade triggers, B2B nurture acceleration). The same platform orchestrates customer journeys across both models using a unified customer profile, without separate configurations per business type.

Most teams connect their first data source and go live within a day. Shopify, HubSpot, Salesforce, and Stripe connect via native connectors in minutes. The JavaScript SDK installs without backend changes. The journey canvas is built for non-technical users. Triggers, conditions, delays, and channel steps are configured visually. See the free plan to start without a credit card.

Both. The journey canvas and customer data layer work across eCommerce and SaaS use cases from the same platform. Shopify catalog data and SaaS product events flow into the same unified customer profile, so you can optimize customer journeys across both business models without separate tools or configurations.