--- title: 2025 Feature Experimentation release notes slug: feature-experimentation/release-notes/2025-optimizely-feature-experimentation-release-notes docTags: createdAt: 2026-07-20T15:45:33.339Z --- Subscribe to updates on this page using the notification and RSS feed options. - Optimizely Feature Experimentation ## December - Released the Experiment Review agent, which lets you [Run a pre-launch experiment review with Mark](docId\:oqDGF6JrR-nvfIShOH8c8). The agent reviews your experiment configuration and recommends changes to maximize your odds of reaching statistical significance. - Released the [Optimizely Edge Agent](docId\:IrNG7Z0ymU5GEnlJA3eXR), which integrates edge computing and serverless architecture to let you seamlessly conduct targeted deliveries and experiments across various platforms and architectures. ## October - Released [version 1.0.0](https://github.com/optimizely/cloudflare-worker-template/releases/tag/v1.0.0) of the [Cloudflare Worker template](docId\:jbjhroXtEAKx8xlsty3Q-). See the [release](https://github.com/optimizely/cloudflare-worker-template/releases/tag/v1.0.0) on Github for a complete list of updates.  ## September - Added the new Optimizely Reporting [Metric Impact Report](docId\:tjo68kW8MLxZMpOB6ABw5) dashboard for Experimentation, which aggregates data on the impact of your metrics. ## July - Released [ratio metrics](docId\:njoNA36ZPt_NpzbeCVtYL) for A/B and multivariate tests, which let you select different events for the numerator and the denominator to reflect business-specific key performance indicators, such as revenue per add-to-cart click or feature use per account. See [Create a ratio metric in the metric builder](docId\:tjo68kW8MLxZMpOB6ABw5) for instructions. - Added `experiment ID` and `variation ID` to the [decision notification listener payload](docId\:QiEx3iXCt3FdoCAU-ssTz). ## May - Released v6.0.0 of the JavaScript SDK. This update includes various changes, including the following: - Unified the JavaScript (Browser) and JavaScript (Node) developer documentation into one unified reference. See [JavaScript SDK reference](docId:8PWUc59E_yQaRlOmUc5JA) for versions 6.0.0 and later. - Split the `createInstance` call into multiple factory functions for greater flexibility and control. See [Initialize the JavaScript SDK.](docId:2bQ4KAFcVOAesqDOcmtCZ) - Disabled VUID tracking by default. See [VUID manager.](docId:2bQ4KAFcVOAesqDOcmtCZ) - Added support for [async user profile service](docId\:SBsPoqyJBy1uGzOZK8Evz) and [async decide method calls](docId\:SlmvozhQJ1rmI6AIIoqql).  - See the full release notes on [GitHub](https://github.com/optimizely/javascript-sdk/releases/tag/v6.0.0). - Updated the Experimentation [Usage & Billing dashboards](docId\:NR4At0IGrDJGq2AUK2j3Y) to include monthly active users (MAUs) by experiment and project. - Released [Mark chat](docId\:D4so1bF9qRiudPoWx2hr8) for Experimentation. Agent Platform automates tasks, surfaces insights, and guides decision-making.  - Released the [results summary](docId\:kgXKG7SBqviw06Wjq5aEW) in Mark, which automatically summarizes your A/B test results in plain language. - Added the ability to ideate with Mark to [get test ideas](docId\:oxWAaDQgCSG0Z2Zw6jZn2). ### Usage and billing update Effective May 7, 2025, access to Mark features across Content Marketing Platform, Web Experimentation, Feature Experimentation, Personalization, Content Management System (SaaS), Collaboration, and Optimizely Data Platform will transition to a credit-based usage and billing model. For a full list of Mark features, see [Mark and AI features](docId:51wG_l34ATUNcLespgC-G). ## April ### Usage and billing update Effective May 7, 2025, access to Mark features across Content Marketing Platform, Web Experimentation, Feature Experimentation, Personalization, Content Management System (SaaS), Collaboration, and Optimizely Data Platform will transition to a credit-based usage and billing model. For a full list of Mark features, see [Mark and AI features](docId:51wG_l34ATUNcLespgC-G). ## March - Released granular roles and permissions for[ audience roles](docId\:aG4JyFgVeCLJsPnBhfUTX). - Released [teams](docId:4OlvMcsnIe7HXXPBMxFqJ) to manage granular permissions for entities in bulk. - Added new API endpoints to support granular roles and permissions. See [API changelog](docId\:bx5jMaZIXosSB8a3qp15G). ***Warehouse-Native Experimentation Analytics*** Warehouse-Native Experimentation Analytics is now generally available. The integration brings the elements of warehouse-native Optimizely Analytics to Feature Experimentation and Web Experimentation. Teams can analyze experiment performance, identify winning variations, and conduct deeper analyses on experiments that ensure data security and privacy and avoid data duplication or movement. - Enhance experimentation results by integrating Optimizely Experimentation data with additional insights from the data warehouse. See [scorecard](docId:1C7JEHttnh9k9BdpYz7ii) for more information. - Specify key user interactions to assess engagement and evaluate impact using [custom events](docId\:q4qVDU4KoruVJsDqhniIQ). - Create specific experiment-focused metrics (such as [conversion](docId\:J86da9mjVBG75Ftd6b4dJ), [numeric aggregation](docId:6N0SMW8_8BGpDI0RCWG7R), [ratio](docId\:vtFqPBsIlcQExIRI852HE), and more). - Segment users by common behaviors into [cohorts](docId\:qqERbaNW3LL9kPlSp27Lr) for precise analysis and targeted insights. - Create custom [metrics](docId:9zga6mORJKvRK6j3OqmXG) and [derived columns](docId:1wi6-v9k1O0weCWNUPCsS) to transform data to gain deeper insights. - Use the [Stats Engine](docId\:e7e-S6BollFwcP1RX9YS_) to ensure reliable results and advanced analysis capabilities. - Use [CUPED](docId\:XGaqMc2-oZfQBf5GHk2lS) to reduce the impact of random variation and surface insights quicker. - Switch effortlessly between configuring experiments and conducting deep experimentation analysis from both Feature Experimentation and Web Experimentation. - Filter results by user segments, analyze trends over time, and track variation performance through designated funnels via [Experimentation Analytics ](docId\:I3Euo_-9H2N5vzYVOgkxd)** > Explore**. - Uses the [Opti ID Admin Center](docId\:VBLJux5kON1IQDdOU04cF) for user management, giving you a single login point to switch among your Optimizely products. See the [Opti ID documentation](docId\:gfcl33i3WnqFAwFi9CT6y) to learn more about how to use it. - Updated the Analytics UI to match Optimizely styling. [Learn more about Warehouse-Native Experimentation Analytics.](docId\:V1bCdnHVWF0iA32vvysMA)