Addressing challenges like identifying high-performing designs and content while reducing guesswork

We use Optimizely Web Experimentation to run A/B and multivariate tests, optimizing website user experience and conversion rates. It helps address challenges like identifying high-performing designs and content while reducing guesswork. Our scope includes improving engagement on key pages, streamlining user journeys, and validating changes before broader implementation.

We used Optimizely Web Experimentation and Optimizely CMS together to enhance our website's user experience and conversion rates. We utilized the CMS to create and manage content seamlessly, while Web Experimentation allowed us to A/B test elements such as button placements, headlines, and page layouts. This integration ensured that any winning variations could be quickly implemented into the CMS without disrupting workflows.

In my experience, using Optimizely Web Experimentation has been a game-changer for running and managing experimentation projects. Having all the tools—design, implementation, and analysis—within one platform significantly streamlined the process for my team.For instance, we were able to quickly design A/B and multivariate tests directly in the platform without relying heavily on developer resources. Once implemented, the real-time analytics provided actionable insights, allowing us to make data-driven decisions more efficiently. The ability to personalize experiments for specific audience segments further enhanced the relevance of our tests, driving higher engagement and conversion rates.By consolidating these capabilities into one platform, we reduced overhead, improved collaboration across teams, and accelerated the optimization cycle, leading to measurable improvements in our overall digital performance.