Automated Experimentation
Agent details
Built by Niteco, this Optimizely agent turns insights into action. Opal analyzes page performance using Google Analytics 4 data and Baymard Institute findings to pinpoint real user friction. It then automatically designs, prioritizes, and builds complete A/B tests directly in Optimizely, so teams
Benefit
Opal analyses your webpage, pulling in real user behaviour data from GA4 and trusted UX research databases such as Baymard institute. It spots where users experience problems and generates research-backed and prioritised experiment ideas. Once you select an experiment, Opal's custom design and builder agents write the variant cod (JavaScript/CSS), configure the A/B tests in Optimizely Web Experimentation, and set all relevant metrics, all without leaving the chat.
How it works
Opal analyses page performance using GA4 data and Baymard UX research to identify real friction points. It then automatically designs, prioritises, and builds complete A/B tests directly in Optimizely.
Who it helps
This is for digital managers, CRO specialists, and growth teams who want to speed up their experimentation plans without needing a full team of researchers, designers, and developers.
Built by
Works with
Documentation
Not an Optimizely customer? Get in touch to learn how to activate Opal agents.