Conversion isn't about more traffic. It's about better experiences.
Most teams optimize pages in isolation — running A/B tests on headlines while the full customer journey stays generic and disconnected.
That's leaving revenue on the table.
Modern commerce teams personalize the entire experience — from first visit to repeat purchase — using real behavior, not assumptions.
These aren't separate optimizations. They're one experience engine.
Sound Familiar?
If you own the on-site experience, this will feel familiar
Conversion rates have plateaued
Personalization feels shallow or hard to scale
A/B tests optimize only pages, not the full customer journey
Merchandising, marketing, and UX feel disconnected
Insights live in dashboards, not in live experiences
GrowthOS is designed to close that gap.
How GrowthOS Supports You
How GrowthOS supports your role
Personalize experiences with real customer context
GrowthOS uses behavior, preferences, and lifecycle context to personalize what visitors see — not just who they are.
Optimize full customer journey
Run experiments and personalization across the full customer journey, not just single pages or components.
Coordinate experience with messaging
Ensure on-site experiences reflect what customers saw in email or SMS campaigns — one consistent story everywhere.
Measure what actually drives conversion
See how experiences affect conversion rate, revenue per visitor, and downstream retention — not just test winners.
What Teams Use It For
What commerce & experience teams use GrowthOS for
On-site personalization and dynamic content
A/B testing and experience optimization
Merchandising by behavior and intent
Coordinating campaigns with on-site journeys
Improving conversion without over-discounting
The solution built for experience optimization
GrowthOS powers Commerce Experience — a unified system for personalizing journeys, running experiments, and improving conversion across every touchpoint.
Self-serve
For lean teams
Advanced
Experimentation & personalization for scale
Sales-assisted
For complex commerce stacks
Frequently Asked Questions
Yes, that's kind of the whole point. The visual editor lets you change copy, swap layouts, insert product recommendations, and launch across web and mobile without touching code. You go from idea to live experience in minutes, not sprint cycles.
UI tests are surface-level changes—headlines, images, button colors, layout tweaks. Deeper logic personalization means things like showing different pricing, changing product recommendations based on behavior, or altering checkout flows. Intempt handles both (full-stack), so you're not limited to cosmetic changes.
Pretty granular. You can target based on real behavior (pages viewed, actions taken), lifecycle stage (new visitor, active user, at-risk), campaign source, or AI-predicted intent (likely to convert, churn risk). Combine conditions to get as specific as you need.
Traditional A/B tests make you wait until the end to draw conclusions—or risk false positives if you peek early. Sequential testing lets you monitor results continuously with statistical safeguards built in. You can act on clear winners sooner without inflating your error rate.
CUPED uses historical data about your users to reduce random noise in test results. Less noise means a cleaner signal, which means you hit statistical significance much faster. You're not waiting extra weeks just because your audience has high natural variability.
It works across both web and mobile from one platform. You build experiences and run experiments across web and mobile apps without duplicate work. Same targeting logic, same reporting, same workflows, just deployed wherever your users are.