graphical user interface, application

2023 is off to a fast start, and so is the team here at Optimizely.  

With so much emphasis on how we can use tests and data to make incremental improvements to our website, we’ve spent the early months of the new year focusing relentlessly on how we can help our customers run their marketing programs quickly and efficiently.  

That means delivering new capabilities that improve collaboration and increase experimentation velocity — with features like component trackers, Google Analytics 4 integration, statistical significance notifications, and more.   

Keep track of component usage in your experiments

Component tracker helps you maintain a birds-eye-view of your experiment usage 

Component usage in experiments dashboard

To better manage time and resources while keeping current rules and tasks, it's important to easily track reusable parts in your Optimizely Web Experimentation account. These parts include pages, audiences, events, and extensions.

Using the new component trackers in your experiments, you can:  
  • View which pages, events, extensions, and audiences are used in an active or paused experiment.
  • Determine whether collaborators can safely archive components.
  • Avoid the possibility of using conflicting components in an experiment, eliminating the risk of data inconsistencies.

How to use component trackers in Web Experimentation 

Mutually exclusive experiments for Performance Edge

Creating a new exclusion groupExperiments can sometimes interact with each other in undesirable ways if/when a user is bucketed into more than one group.

Now available in Performance Edge, you can create exclusion groups that contain experiments to indicate that a visitor should not be included in more than one of the same experiments within that particular exclusion group. Ultimately, this allows teams to run more experiments concurrently — with a higher degree of confidence, reducing experiment conflicts.

How to set up mutually exclusive experiments in Performance Edge

Send experiment data to Google Analytics 4 

Setting up the Google Analytics 4 connection

We're excited to announce an all-new, out-of-the-box connector for Web Experimentation. Requiring just the click of a button to connect the two systems, Optimizely Web Experimentation users can now integrate with Google Analytics 4 to send their experiment data to Google, create custom segments, and more. 

What is Google Analytics 4?

Google Analytics 4 is the new version of Google Analytics. As of July 1, 2023, Google Analytics 4 will officially replace Universal Analytics and stop collecting any new events. Google Analytics 4 helps businesses evolve their analytics standards – such as measuring more user-centric data, predicting new insights with machine learning, and more.

How to use Google Analytics in your Web Experiments  

User experience changes to Web Experimentation

UX improvements to web experimentationDescriptions for URL match types: add more details for URL match types, to better understand what each type is, and set up your experiments for success.

Single page app support updates: additional in-app messages/warnings to indicate additional steps are required when a page that requires single page apps (SPA) support is chosen.

Acknowledge ‘Save’ button: within Integrations, the ‘Save’ button is now grayed out after settings are updated to better indicate a response.

'Description’ for an archived experiment: a new description field under the experiment name offers context to remind team members why certain tests were built.

Notifications for experiments reaching statistical significance 

Statistical significance notificationsMonitoring experiment results can be time-consuming — it requires logging into your app and manually viewing each experiment's results page.  

With all-new notifications for statistical significance, users can opt-in to receive automated email alerts that indicate when any metric in any variation in an experiment reaches statistical significance — ultimately helping to accelerate productivity and experiment velocity. Users can also be confident in their experiment launches knowing that if a monitoring metric reaches statistical significance – oftentimes an unanticipated event, like a significant increase in bounce rate – that they will also be alerted in case intervention is required.

If you’re interested in getting early access to the beta, please reach out to your account manager. 

That’s it for Q1! We’ll be back soon with another round of product updates just for you. 

P.S. Have an idea for a new feature? Don't forget to use this feedback link! Speak with your Customer Success team to learn more. Also check out our product roadmap for future updates.