2026 Optimizely Analytics release notes

  • Updated

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March

  • Influence exploration template – Identify which user behaviors, events, and metrics are most strongly associated with key business outcomes such as conversions, revenue, and retention.
  • Image tile in dashboards – Add static images to Optimizely Analytics dashboards, such as experiment variation screenshots or brand assets — directly alongside data and metrics.
  • Bounce and exit rate metrics – Measure user engagement and pinpoint friction by tracking bounces in a given session and identifying the exact pages where visitors leave your site (exits).
  • SCIM for admin center – Streamline user management and enhance enterprise security by automating the provisioning and de-provisioning of user accounts directly through the Admin Center.
  • Released the following Analytics system tools in Opal to help you create explorations from Opal:
    • oa_add_explore_to_dashboard: Pin your saved data explorations directly to any of your analytics dashboards as a visual tile.
    • oa_create_dashboard: Instantly generate custom dashboards to start organizing your most important explorations in one place.
    • oa_add_text_tile_to_dashboard: Enhance your dashboards by adding customizable text headers and descriptions to provide clear narrative context for your data.
    • oa_analyze_experiment: Automatically fetch and interpret the scorecard results of an experiment to understand variation performance and statistical significance.
    • oa_analyze_experiment_explore_tab: Discover and access the underlying custom explorations that drive the deeper insights within an experiment's Explore tab.
    • oa_arrange_dashboard_tiles: Seamlessly organize your dashboard layout by repositioning and resizing your data visualizations on a flexible grid.
    • oa_revert_dashboard_layout: Instantly undo your most recent dashboard layout changes to safely restore the previous tile arrangement.

February

  • Explore results dropdown in experiment summary – Access detailed result views directly from the experiment summary section through a Explore results drop-down.
  • Released the following Analytics system tools in Opal to help you create explorations from Opal:
    • oa_find_metrics – Searches and finds existing metrics from Optimizely Analytics. Uses fuzzy matching on metric names and semantic search on descriptions to find relevant metrics.
    • oa_get_metric_data – Retrieves and executes a specific saved metric in Optimizely Analytics, returning its calculated table data.
  • First time ever filter – Filter Event Segmentation explorations to track unique users taking a specific action for the first time ever.

January

  • Series-level color labeling –  Customize the color and label for individual data series in event segmentation charts to create more consistent and readable dashboards.
  • Updated formula block editor - Streamline formula creation with a more reliable autocomplete and better search functionality in the formula editor, making it faster to build complex calculated fields.
  • Data integrity health checks – Validate experiment data quality including visitor ID consistency, assignment overlap between datasets, and primary key uniqueness to identify and resolve data issues impacting experiment validity.
  • Opal knowledge expansion – Get more contextual and relevant responses to your analytics questions. Opal now accesses and analyzes your existing explorations and metrics, letting you generate new analyses with greater precision.
  • Chart legend improvements – Get enhanced legend rendering for improved performance and readability, especially with high-cardinality data. You can now scroll through legends and view all items without truncation.