Test the page. Run the journey. Attribute the dollar.
Website experiments + omnichannel journeys + revenue attribution on one customer profile. Connect your store and start in minutes.
0.0on G2Experiment the page. Orchestrate the journey. Attribute the dollar.
What's in Marketing
Serve the right content to every visitor based on their behavior, not just their device.
Multi-channel lifecycle automation across email, SMS, push, and in-app - triggered by behavior, not timers.
A/B and multivariate testing with CUPED variance reduction. Reach significance faster on the same traffic.
AI product recommendations trained on your catalog and behavioral history, updating in real time.
Orchestrate all five marketing tools in a single automated campaign pipeline. Build once, run for every campaign.
Your homepage treats a first-time visitor and a 3-year customer the same. That ends here.
Real-time behavioral data drives on-site personalization with no dev tickets and no deploys.
- Behavior-driven content variation with visual editor
- Segment-level and individual-level personalization
- No code required
Your email tool doesn't know what the customer did last Tuesday. These flows do.
Build lifecycle journeys that respond to product behavior, purchase history, and real-time signals across email, SMS, push, and in-app.
- Multi-channel journey builder connected to product data
- Behavioral triggers from any tracked product event
- Exit conditions and re-entry rules to prevent over-messaging
You're running 2 tests a quarter because reaching significance takes 3 weeks. Run 2 a week.
CUPED variance reduction cuts time to significance by 20–40%.* When an experiment finds a winner, promote it to a Personalize rule in one click.
- Visual editor for no-code A/B tests
- CUPED for faster statistical significance
- Connected to personalization - winners deploy in one click
'Also bought' is not a recommendation engine. It's a crutch from 2019.
Intempt reads behavioral history, catalog data, and purchase patterns to surface the right product at the right moment - on-site and in messages.
- Collaborative filtering trained on your product catalog
- Real-time model updates as user behavior changes
- A/B test recommendation strategies before committing
Your MQLs on autopilot. Build once, run forever.
Connect Journeys, Experiments, Personalize, and Recommend into one automated pipeline. Build it once. Run it for every campaign without rebuilding.
- Every Intempt marketing tool connects in a single pipeline with no manual handoffs
- Describe the campaign goal and the workflow builds automatically
- Parameterized templates that run for any audience without a rebuild
Connect every trusted source.
Plug into the tools your team already runs on.
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Certified & Compliant
Your customer data stays yours, and stays secure.
The teams that made the switch
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.
FAQ
Frequently asked questions
Everything you need to know about Intempt Marketing.
Intempt Marketing includes five features: Personalize (on-site personalization), Journeys (multi-channel lifecycle automation), Experiments (A/B and multivariate testing), Recommend (AI product recommendations), and Workflows (campaign pipeline automation). All five features read from the same behavioral customer profile with no integration work between them.
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).
One customer. One profile. Every channel connected.
Connect your data source and your first marketing action is live in the same session. Test, message, personalize, recommend - all from the same behavioral profile.