AI makes it personal. You win the conversions

Create personalized experiences in seconds, adapt them for every user, and measure real impact —all without complexity or guesswork using AI.

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Made effortless by AI, proven by results

Effortless to run. Accurate to measure. Impossible to ignore.

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Move from idea to live in minutes

AI builds experiences instantly, while client- and server-side personalization lets you deliver everything from quick content swaps to deeper logic-based changes without waiting on developers.

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Target precisely, personalize at scale

Reach the right audiences with AI-driven targeting, control who sees which experience, and extend personalization across full flows like onboarding, product discovery, or checkout.

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Decide with clarity

See how different users engage in real time, understand which experiences resonate, and scale what works—without the guesswork of manual rules.

Make it personal, faster

Create and manage every personalized flow in one place—no dev queue, no tool-switching, just experiences you control end-to-end.

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Manage all experiences in one view

Oversee targeted experiences across campaigns, audiences, and touchpoints from a single view.

Deliver fast on client-side

Adjust headlines, images, or calls-to-action instantly for specific audience segments—perfect for fast UI tweaks without developer help.

Customize with server-side logic

Personalize deeper elements like pricing, product bundles, or onboarding flows to match user intent at scale.

Build with AI, not code

From individual elements to entire experiences, AI Coach generates and customizes personalized experiences instantly.

Create experiences instantly

Describe who you’re targeting and what you want them to see—AI generates the experience on the spot.

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Edit with drag-and-drop freedom

Rearrange, style, and update elements—text, images, videos, buttons, or forms—without touching code.

Add custom forms and widgets

Insert popups, lead forms, or surveys tailored to specific audiences and goals.

Reach the right audience, every time

Combine AI-driven segmentation with flexible delivery rules to create experiences that feel one-to-one.

Target audiences intelligently

Reach users by demographics, behaviors, or AI-predicted segments like “likely to upgrade” or “churn risk.”

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Deliver the next best experience

AI evaluates each individual user and automatically selects the experience most likely to drive engagement, conversion, or retention.

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Personalize across full flows

Go beyond single pages—deliver tailored journeys across onboarding, checkout, or account creation.

Run campaigns with precision

Understand which personalized experiences truly resonate with different audiences.

Filter and break down results

Drill into your experiment outcomes by applying filters or segment breakdowns. See exactly how different audiences respond.

Spot trends over time

Track performance with time-series graphs for every variant. Identify lift patterns, conversion spikes, and key moments that shape outcomes.

Configure with flexibility

Define what success looks like with custom goals—whether it’s conversions, engagement, average order value, or retention—and let AI help you track the metrics that matter most.

Personalization, redefined

Build faster, adapt smarter, and finally deliver relevance at scale without the struggle.

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AI experience builder

Describe what you want, and AI generates personalized content or layouts for the right users instantly.

Drag-and-drop editor

Move, edit, and style any element—text, images, videos, or banners—without touching code.

Custom forms and widgets

Add popups, lead forms, or surveys targeted to specific audiences, fully customizable for any campaign.

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AI targeting

Reach audiences based on behaviors, demographics, or predicted intent—like churn risk or upsell potential.

Next best experience

Let AI decide the optimal content, offer, or layout for each individual user in real time.

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Multi-flow personalization

Deliver unique experiences across full journeys—like onboarding, product discovery, or account setup.

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Experience insights

Break down results by segment to see what resonates with different user groups, from new visitors to loyal customers.

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Configurable goals & metrics

Define success your way—whether it’s conversions, engagement, order value, or retention—and let AI track the metrics that matter.

Unified platform

Client-side agility + server-side depth in one place, empowering marketers and product teams to personalize together.

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Unified platform

Client-side agility + server-side depth in one place, empowering marketers and product teams to personalize together.

Drag-and-drop editor

Move, edit, and style any element—text, images, videos, or banners—without touching code.

Custom forms and widgets

Add popups, lead forms, or surveys targeted to specific audiences, fully customizable for any campaign.

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Audience AI targeting

Serve content tailored to user preferences, engagement history, or AI-powered predicted behavior.

AI targeting

Reach audiences based on behaviors, demographics, or predicted intent—like churn risk or upsell potential.

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Next best experience

Let AI decide the optimal content, offer, or layout for each individual user in real time.

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Multi-flow personalization

Deliver unique experiences across full journeys—like onboarding, product discovery, or account setup.

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Experience insights

Break down results by segment to see what resonates with different user groups, from new visitors to loyal customers.

Configurable goals & metrics

Define success your way—whether it’s conversions, engagement, order value, or retention—and let AI track the metrics that matter.

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Unlock advanced growth tactics

Dive into a curated directory of use cases tailored to your industry. Filter by product, team, and lifecycle stage to discover advanced tactics that drive growth with GrowthOS.

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You don’t need an army of marketers.

You need GrowthOS and Blu, your AI Co-Marketer.

FAQs

Do I need developers to set up personalized experiences in Intempt?

No. The drag-and-drop editor lets you build and launch personalized content yourself. Swap out headlines, images, CTAs, whatever you need. Client-side personalization handles it all in the browser. You'd only loop in developers for deeper stuff like personalizing pricing logic or backend-driven recommendations.

What's the difference between client-side and server-side personalization?

Client-side is fast and visual, perfect for changing what users see on the page (banners, copy, images) without any dev work. Server-side goes deeper, letting you personalize things like pricing, product bundles, or onboarding flows based on user data. Intempt does both, so you can start simple and go deeper when you're ready.

How does the AI know what experience to show each user?

The AI looks at each user's behavior, demographics, and predicted intent, things like "likely to upgrade" or "at risk of churning", and automatically picks the experience most likely to drive the outcome you care about. You set the goal (conversions, engagement, retention), and the AI figures out the best match for each person.

Can I personalize entire user journeys, not just single pages?

Yes, and this is where personalization gets really powerful. You can tailor the full experience across onboarding flows, product discovery paths, checkout sequences, whatever matters for your business. Users get a consistent, relevant journey instead of one-off personalized moments that don't connect.

How granular can I get with audience targeting in Intempt?

As granular as you need. Target by behavior (pages viewed, actions taken), demographics (location, device, language), or AI-predicted segments (churn risk, upsell potential, likelihood to convert). You can combine conditions to get super specific, like "mobile users from Germany who've visited pricing twice but haven't signed up.

Is it possible to test different personalized experiences against each other in Intempt?

Yes, you can run experiments on your personalized experiences to see which variations perform best. Combine personalization with A/B testing to validate your assumptions before scaling, so you're not just guessing that a personalized experience works better; you're proving it.