Does it work for both marketers and developers?

Yes. From a self-serve visual editor to feature flags to data warehouse native, the platform is built for both. Marketers move fast without waiting on engineering. Developers get the control and depth they need.

What kind of support do we get beyond the product?

Executive sponsorship, experimentation services, customer success, and engineering support. Not a ticket queue but a team that wants you to succeed.

How does AI fit into the platform?

Optimizely Opal orchestrates rather than assists. Enterprise-grade agent orchestration built toward autonomous personalization and experimentation. It knows your program and moves it forward without waiting to be asked.

Can it handle our scale?

Hundreds of billions of events are processed on Optimizely. Black Friday (31.3 billion impressions), Super Bowl (15 million viewers), and peak traffic days. The platform was built for the moments when failure is not an option.

Digital optimalisering

Optimizely Web Experimentation lets you build any number of metrics which can be much more complex than standard GA goals. Optimizely Web Experimentation works well with multiple tools in our marketing tech stack out of the box. In order to maximize value out of Adobe Target you need to buy more and more into the Adobe environment.

Jason Tabert

Manager, Experience, Zillow

Between myself and my director, we advocated Optimizely down to the end...positioning our authors to be more effective...faster time to market...reduction in development.

Brian Savage

Senior Product Owner, Ryder

I really like how quick and simple it is to test new ideas without needing a full deployment cycle. As a developer, I can easily implement experiments directly in code and see the impact almost instantly. The platform's flexibility allows us to update or replace page elements, try new layouts, or inject components on specific pages without disturbing production code. It's reliable, intuitive, and fits smoothly into our existing workflow.

Developer, G2 review

I think Opal has all of the context within Optimizely, which is really helpful. It knows what the experiment is. We can actually feed it our website, and it can generate some great ideas of what tests we should be running.

Digital Personalization Manager

Global retail conglomerate

Forbedre alle digitale berøringspunkter

Run smarter tests. Ship with confidence.

Convert every interaction.

Turn insight into momentum.

AI that does more than suggest.

Adobe er gårsdagens CMS. Optimizely driver moderne digitale opplevelser.

One platform that turns ideas into impact

Turn every web experience into a conversion engine.

Personalize and WOW at every moment.

Ship smarter. Validate faster. Scale safely.

Insight that drives action across every experience.

Any use case goes from manual pain to efficiency gain.

Capture great ideas. From everyone.

Unify, segment, and activate your customer data.

We're a hit with the whole team.

15 years leading the category. Tried, tested, and proven

We have the team, infrastructure, and solutions to scale for your biggest moments

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