Intempt
Personalize · 1:1 at scale

Everyone gets the same page. Until now.

Show each visitor the experience built for them using the same profiles that run your experiments and journeys. No separate tool. No audience sync. No data lag.

Blu

When someone converts, their experience changes. Instantly.

Most tools keep showing the pre-conversion experience even after someone signs up, activates, or upgrades. Intempt swaps it the moment the event fires — mid-session, automatically.

Real-time audience update removing user from personalization experience after a conversion event

Personalize plan tiers, feature gates, and API content — not just what's on screen.

A visual editor can change a headline. It can't change what your backend serves. Server-side targeting handles pricing logic, feature visibility, and API-driven content — from the same platform as your A/B tests.

Server-side personalization serving different plan tiers and feature visibility per segment

A user qualifies for five experiences at once. The right one wins automatically.

Without a priority system, the experience that runs is whichever was created first. Intempt resolves conflicts automatically so the most relevant experience always wins.

Experience prioritization resolving conflicts when a user qualifies for multiple personalizations

How Website Personalization Works

From segment to live experience in four steps.

1

Pick the segment and build the experience

Audiences are the same behavioral segments that power your experiments and journeys no separate sync, no data lag. The no-code visual editor handles front-end changes. Server-side targeting handles pricing, algorithms, and API-driven content. Both from the same interface.

User profile with computed traits and preferences powering the personalization segment
2

Blu validates audience and resolves conflicts before you publish

Before publishing, Blu checks whether the target segment overlaps with other active experiences and surfaces any priority conflicts. It flags experiences that might suppress each other and recommends a priority ranking so the right experience wins for each user automatically.

Blu checking audience conflicts and recommending experience priority before publish
3

Audiences update in real time experiences follow the customer

The moment a goal event fires purchase, activation, signup the user exits the experience automatically. Audiences update mid-session as behaviour changes. No stale content reaches someone who already converted. The right experience is always the one that matches where the customer is right now.

Segment to engage to measure flow showing real-time audience and experience update
4

Measure lift and roll winners from experiments directly in

Conversion tracking, lift analysis, and trend reporting are built in. When an A/B test produces a winning variant, it rolls directly into this same experience layer targeted at the segment where it won, without rebuilding. Experiments and personalizations share one data layer. The winner just becomes the experience.

Experiment winner rolled into a personalization experience for the winning segment

Real results, not just tech

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

Jim Stromberg
StockInvest
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.

Stop showing everyone the same page. Start personalizing it.

Blu configures the targeting. You approve what goes live.

Frequently asked questions

Website personalization

Website personalization software lets you show different content, layouts, or experiences to different visitors based on who they are and what they've done. Instead of one page for everyone, each visitor sees a version tuned to their segment returning customer vs. first visit, paid traffic vs. organic, high-intent vs. browsing. Intempt's personalization runs on the same unified profiles as your experiments and journeys, so you don't need a separate tool or audience sync.

Client-side personalization changes what users see in the browser using JavaScript it's fast to launch, requires no backend changes, and works for visual edits like headlines, banners, and layout. Server-side personalization changes what your backend serves before the browser receives it it's used for pricing logic, recommendation algorithms, API-driven content, or any change that requires backend control. Intempt supports both from the same interface.

Intempt's priority system resolves conflicts automatically. You rank experiences by importance a cart recovery banner above a generic upsell, an exit-intent offer above a default promotion. When a user qualifies for multiple, the highest-priority matching experience shows. Blu can also surface where overlapping audiences are suppressing each other's performance.

Audiences in Intempt update from the same real-time event stream as your journeys and experiments. When a goal event fires a purchase, a signup, an activation milestone the user exits the relevant experience automatically, with no delay. This prevents stale experiences from reaching users who have already converted or changed segments mid-session.

Yes. When an experiment produces a winning variant, it rolls directly into a personalized experience targeted at the segment where it won. Because experiments and personalizations share the same profiles and segments, there's no export or rebuild the winner just becomes the personalization. You can also run A/B tests within a personalized experience to measure incremental lift vs. a control group.

Personalize | AI Personalization Engine for Growth | Intempt