for the experience optimizers
Go from moment to momentum
Less guessing. More proving.
Digital experiences produce signals everywhere. Most systems still struggle to act on them.
Agents turn signals into experiments that preserve context and improve every experience.
When learning stalls
Experiments slow learning
You run tests but can't connect the dots. Full context disappears. Learning takes too long to move the needle.
Journeys feel disconnected
Personalization happens in silos. Every channel works independently. Customer insight gets trapped in disconnected tools.
Insights arrive too late
Signals surface after the moment passes. By then, opportunities are gone. Data sits in reports instead of driving decisions.
Where signal becomes strategy
Experimentation was never meant to feel like guesswork. The best moves come from signals you can trust. AI agents turn data into proven strategies in real time so teams stay focused on impact, not busywork.
Experience Optimization in motion
Tests connect to strategy. Signals drive decisions. Every experiment teaches the next one. Performance becomes something you can count on.
Explore the full agent directory for experience optimization
Run better tests, faster
Agents guide setup, metrics, and analysis so you ship better experiments without sacrificing speed. High quality. High velocity. Only your best ideas get tested.
Personalize every moment
Agents connect full customer journey context so personalization works everywhere. One unified view means every moment lands. Everything just got personal.
Prove your impact, then scale it
Agents surface what works so decisions become fact-based, not guesses. Impact becomes measurable. Scale becomes possible. Proof comes first.
2x
omsetningen i løpet av en toårsperiode etter lanseringen av nettstedet med Optimizely
91%
av brukerne vil nå anbefale Medthority til kolleger
Research report
The agentic AI experimentation report
900 companies. 47000 Optimizely Opal interactions. Does AI work for experimentation? The data says yes, but only when agents work across the full lifecycle. Teams doing that are creating 78.66% more experiments, concluding 2.38% more experiments, and seeing higher win rates.
Latest insights
Why you need a full platform, not point solutions
How leading brands run a consistent full-stack system to turn testing into measurable lift.
Lessons learned from 127k experiments
The difference between good and great programs isn’t tools or talent. It’s how you scale.
Connecting experiments to revenue
Why your team doesn't trust experimentation results, and what you need.
AI agents that scale your optimization program
In this on-demand session, industry expert Greg Sherwin joins Optimizely's Katie Bloor and Josh Holt to break down where AI agents create real value and how experimentation teams are already putting them to work.
Let every interaction build momentum
Move from isolated tests to continuous learning across every experience.