How is personalization different from A/B testing?

A/B testing finds a winner. Personalization delivers the right experience to each segment permanently, no winner/loser framing, no holdout groups. When a test does find a winner, promoting it is a handoff inside one platform rather than an export into a separate personalization tool.

Does Personalize work on mobile?

Yes. On-site personalization works responsively across desktop and mobile web.

What if I want different personalization rules for different countries?

Geo-targeting is a supported targeting rule alongside behavioral and segment rules. Your rules are the guardrails, so the agent only serves an experience where you have allowed it.

Website Personalization

Every visit, 1:1.

The Lifecycle Marketer agent personalizes every visit on one customer context, so the page reacts to what someone actually did in your product. No second tool to stitch behavior to content.

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Your website talks to everyone the same way

0.0on G2

10B+events

500M+users

7+years profitable

50+enterprises

Same site. Different experience for every visitor.

No code required. Personalization starts the moment behavior is tracked, and every rule you write is a guardrail the agent works inside.

Point-and-click Experiences, no engineer required.

Open the visual editor, point and click on any element, and define what different visitors see. Hero text, banners, CTAs, product showcases - all personalized based on rules you set. You hold the strategy layer, the Lifecycle Marketer agent applies it on every visit.

Point-and-click editorChange any element on the page without touching code.
Preview before it goes liveSee the change on the real page before any visitor does.
No code for standard casesMarketers ship the rule. Engineering is not in the path.

Point-and-click Experiences, no engineer required

Content rules triggered by real-time behavioral signals.

A visitor who bought three times sees different content than someone visiting for the first time. Behavioral targeting reads behavior in real time, not on a schedule - the same product events your analytics reads, with no export to a second tool first. Targeting runs as a standing skill on every tracked event.

Any event is a triggerAnything you track can change what the visitor sees.
Session, recency and frequencyRules read how recently and how often someone has been here.
Affinity from browse and purchaseWhat someone looked at and bought feeds what they are shown next.

Content rules triggered by real-time behavioral signals

Segment-specific content.

Create a specific experience for trial users, paid customers, VIP buyers, at-risk churners, or any segment you define. Content, banners, and CTAs swap automatically. Each segment rule runs as a standing play against the same customer context every Blu agent reads, so you define it once and it holds for every visit after.

Segments stay in syncA segment change reaches personalization the same second.
Rules on plan and valuePlan, lifetime value or any custom attribute can drive the variant.
Layered segments, orderedWhen several segments match, priority order decides which one wins.

Use cases built for the metrics that matter.

Three outcomes teams measure from day one.

Customer LTV scoring and churn prevention

Wired into the toolsyour team already opens.

Slack, Stripe, Twilio, SendGrid, Gmail, Google Calendar, Firebase, Apache Kafka, AWS. Blu Agent operates them for you without a browser tab.

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In the words of50+ live tenants.

“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

“Intempt helped us turn real browsing and purchase signals into personalized experiences that drive repeat buying. We finally have one system that sees the whole customer journey.”

Eric Gardner

COO, FieldsUSA

“With Intempt, we built a signal-led pipeline driven by real behaviors. Follow-ups are triggered by intent signals instead of timelines, so we only focus on users who are truly engaging.”

Tadas Kertenis

Co-founder, Hoperfy

Frequently askedquestions.

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Do I need Intempt Experiments to use Personalize?

No. Personalize works as a standalone. Together, they let you test an experience before making it permanent, and the Lifecycle Marketer agent promotes the winning variant into a permanent rule without a rebuild.

No. Personalize works as a standalone. Together, they let you test an experience before making it permanent, and the Lifecycle Marketer agent promotes the winning variant into a permanent rule without a rebuild.

Sources

* CUPED (Controlled-experiment Using Pre-Experiment Data) achieves 7-45% variance reduction depending on covariate selection. Deng et al. (Microsoft Research, 2013); Eppo, Statsig documentation (2024-2025).

Intempt Marketing

One experience per visitor, live this week.

Connect your sources in minutes. Ship your first personalized experience and measure lift the same day. Nothing goes live until you publish it.