One experience per visitor.
Personalization runs on the same profiles and segments as your experiments and journeys. No audience sync, no data lag.
Personalized headline
“Start your free trial — 1,200 teams activated this week”
+28%
Conversion lift
Sig. 97%
vs control
14 live
Experiences
BLU
High-intent visitors on mobile convert 2.3× better with the social-proof headline. Priority set to 1.
Match the right experience to the right audience, by rule
Define targeting rules using any signal in the unified profile — segments, attributes, behaviors, UTMs, device, or geo. Every rule is evaluated in real time against live data, no audience sync needed.
Personalization delivers different experiences to different audiences based on targeting rules.
Variants
Define personalized experiences for each audience
Metrics
Primary Metrics
No metrics selected
Secondary Metrics
No metrics selected
Every signal in your profile, available as a targeting rule.
Segment-based targeting
Use any shared segment — trial users, high-LTV accounts, cart abandoners — as a targeting condition without re-building the audience.
Attribute and behavior rules
Target on any profile attribute or behavioral event: plan type, last login, pages visited, items viewed, intent score, and more.
UTM, device, and geo rules
Show different experiences to paid vs organic traffic, mobile vs desktop, or users in specific regions — all from one rule builder.
Real-time evaluation
Rules evaluate against the live profile on every page load. Changes in segment membership or behavior are reflected immediately.
One rule builder replaces manual audience imports across three separate tools.
Edit experiences visually, on-brand, without engineering
Use the visual editor to modify headlines, banners, CTAs, and layouts on any page. Brand Kit enforces your fonts and colors on every edit. No code change, no deploy cycle.
Insert
New Season Collection
Discover the new arrivals — crafted for the modern woman
Visual editor + Brand Kit. No engineering ticket required.
Point-and-click visual editing
Click any element on the page and edit text, images, colors, or layout. Changes preview in real time before you publish.
Brand Kit enforcement
Font, color, and logo rules from your Brand Kit apply automatically to every visual edit. Brand drift is prevented at the editor layer.
Server-side personalization
For sensitive changes — pricing, feature flags, backend logic — server-side personalization applies without a client-side flicker.
Scheduling and triggers
Schedule experiences to start and end on specific dates, or trigger them based on behavioral events like cart add or feature activation.
Most marketers publish their first personalized experience within a single session, without writing a line of code.
Measure lift, conversion, and trend in one report
Every personalization experience runs with a built-in control group. Lift vs control, conversion rate, and trend over time are visible in one report — no separate analytics tool needed.
Untitled report
Total Events
88,500
↗ +12.3% vs prev period
Unique Users
4,230
↗ +8.1% vs prev period
Avg per User
20.9
↗ +3.9% vs prev period
Period Delta
+8.4%
↗ +8.4% growth rate
Session start over time
Total count · daily
| Event | Average | Mar 15 | Mar 16 | Mar 17 | Mar 18 | Mar 19 | Mar 20 | Mar 21 | |
|---|---|---|---|---|---|---|---|---|---|
A | 471 | 616 3.9% | 557 3.5% | 529 3.3% | 477 3.0% | 462 2.9% | 446 2.8% | 415 2.6% |
Why it changed
↗ Rising
Lift vs control, built in. No separate analytics required.
Built-in control group
Every experience automatically creates a holdout group so you always see the true incremental impact, not just absolute conversion.
Primary and secondary metrics
Track your primary conversion goal alongside secondary metrics like engagement, revenue, and bounce rate — all in one report.
Experience prioritization
When multiple experiences match the same visitor, priority order determines which runs. Set and adjust priority without engineering.
Trend and cohort views
See how lift changes over time and whether the audience responding best differs from your initial targeting hypothesis.
Teams using built-in lift measurement ship 2x more experiences because they don't wait for a data team to pull the report.
Ask Blu anything about your personalization
Type a question or invoke a skill. Blu matches segments to experiences and predicts lift before you launch.
▎How it works
From segment to shipped experience, without engineering
SOURCES
JavaScript
Track events from web applications
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Node JS
Server-side event tracking
iOS
Mobile analytics for iOS
Android
Mobile analytics for Android
▎Step 01
Connect your sources
Events, attributes, and identity from every source flow into unified profiles. Personalization rules evaluate against live data from the moment you connect.
▎Step 02
Set segment, URL, schedule, and trigger
Define who sees the experience, where it appears, when it runs, and what triggers it — all from one configuration form, without code.
▎Step 03
Measure lift, adjust priority, ship more
Built-in control groups surface lift vs control in one report. Adjust priority order, update targeting rules, and scale what works.
Real results, not just tech
We drive measurable outcomes in the first 90 days. Beyond the platform.
“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.
▎Why teams switch
Intempt vs the personalization patchwork
Most teams stitch a personalization tool with a CDP. Here's the side-by-side.
▎Pricing
MTU-based pricing. No per-experience fees.
No per-experience fees. No traffic caps on Pro and above. One platform replaces 3–4 tools.
Explore more products
Everything else that turns behavior into revenue.
One experience per visitor.
Connect your sources in minutes. Ship your first personalized experience by tomorrow.
Personalization questions, answered
Frequently asked questions
Everything teams ask before replacing their personalization stack.
Yes. The visual editor lets you modify headlines, banners, CTAs, images, and layouts on any page without writing code or filing an engineering ticket. Brand Kit enforces your fonts and colors on every edit automatically.
You can target on any signal in the unified profile: segments, behavioral events, attributes, plan type, device, geo, UTMs, referrer, intent score, and more. Rules are evaluated in real time against live data.
Yes. Personalization shares the same unified segments and profiles as your journeys, experiments, and recommendations. There is no audience sync required and no data lag.
Yes. Rules evaluate against the live profile on every page load, and in-session signals — like a cart add or feature activation — can trigger a different experience without waiting for the next page view.
Every experience runs with a built-in control group. Lift vs control, conversion rate, and trend over time are visible in one report inside Intempt. No separate analytics tool or data export needed.
No. The Intempt snippet or SDK collects events and enables the visual editor. Server-side personalization uses the SDK but does not require a dedicated engineering sprint. Most teams are live within one session.
Yes. Mobile personalization uses the Intempt mobile SDK. The same targeting rules, segments, and profiles power web and mobile experiences from one configuration.
Priority order determines which experience runs. You set priority in the configuration UI and can adjust it at any time without engineering. Intempt also prevents conflicting experiences from running simultaneously.
Yes. You can set a start date, end date, and time window for any experience. You can also trigger experiences based on behavioral events rather than a fixed schedule.
Intempt connects to your existing data sources via SDK, API, or native connectors. There is no separate data warehouse or CDP required — the unified profile layer is built in to the platform.