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

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

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.
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.
See how different users engage in real time, understand which experiences resonate, and scale what works—without the guesswork of manual rules.
Create and manage every personalized flow in one place—no dev queue, no tool-switching, just experiences you control end-to-end.
Oversee targeted experiences across campaigns, audiences, and touchpoints from a single view.
Adjust headlines, images, or calls-to-action instantly for specific audience segments—perfect for fast UI tweaks without developer help.
Personalize deeper elements like pricing, product bundles, or onboarding flows to match user intent at scale.


From individual elements to entire experiences, AI Coach generates and customizes personalized experiences instantly.
Describe who you’re targeting and what you want them to see—AI generates the experience on the spot.
Rearrange, style, and update elements—text, images, videos, buttons, or forms—without touching code.
Insert popups, lead forms, or surveys tailored to specific audiences and goals.
Combine AI-driven segmentation with flexible delivery rules to create experiences that feel one-to-one.
Reach users by demographics, behaviors, or AI-predicted segments like “likely to upgrade” or “churn risk.”
AI evaluates each individual user and automatically selects the experience most likely to drive engagement, conversion, or retention.
Go beyond single pages—deliver tailored journeys across onboarding, checkout, or account creation.


Understand which personalized experiences truly resonate with different audiences.
Drill into your experiment outcomes by applying filters or segment breakdowns. See exactly how different audiences respond.
Track performance with time-series graphs for every variant. Identify lift patterns, conversion spikes, and key moments that shape outcomes.
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.
Build faster, adapt smarter, and finally deliver relevance at scale without the struggle.
Describe what you want, and AI generates personalized content or layouts for the right users instantly.
Move, edit, and style any element—text, images, videos, or banners—without touching code.
Add popups, lead forms, or surveys targeted to specific audiences, fully customizable for any campaign.
Reach audiences based on behaviors, demographics, or predicted intent—like churn risk or upsell potential.
Let AI decide the optimal content, offer, or layout for each individual user in real time.
Deliver unique experiences across full journeys—like onboarding, product discovery, or account setup.
Break down results by segment to see what resonates with different user groups, from new visitors to loyal customers.
Define success your way—whether it’s conversions, engagement, order value, or retention—and let AI track the metrics that matter.
Client-side agility + server-side depth in one place, empowering marketers and product teams to personalize together.

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

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.
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.
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.
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.
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.
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.