Release Notes

Analytics.js is Segment’s most popular library source. This new major version has been re-engineered to be more performant and provide greater extensibility. It is fully backwards compatible with the previous version of Analytics.js.

Pilot releases of the Analytics-Swift and Analytics-Kotlin libraries are available. These releases are governed by Segment’s First-Access and Beta terms, and should not be used in production scenarios.

Analytics.js is Segment’s most popular library source. This new major version has been re-engineered to be more performant and provide greater extensibility. It is fully backwards compatible with the previous version of Analytics.js.

The Segment App has been completely redesigned with a focus on better usability, clearer navigation, and simplification of complex areas of the product. For more information about the research that went into this update, see our blog post.

All Personas customers can now connect Personas audiences to a new Google Display & Video 360 destination to enable centralized audience management and improved retargeting.

Enterprise customers can use their IdP connection to their Segment workspace(s) to automatically provision users into User Groups in the Segment App. This creates a seamless integration between Segment and customers’ internal IT processes — ensuring a scalable solution for programmatically assigning new user proper access to the App. Currently supports Okta, will soon support OneLogin and Azure Active Directory.

PII Access enables limits on PII visibility for any workspace user while allowing them to continue to use various Segment features PII is automatically masked to all workspace users unless explicitly granted access by the workspace owners. This allows customers to raise the bar on end-user data protection while harnessing Segment’s full power to achieve their business priorities.

All new Personas customers are taken through a guided workflow to set up their identity resolution rules. Based on a user’s selections, Personas provides a standard set of identity rules. From there, users can add or edit identifiers and properties, or set custom identifiers based on their unique business rules, from the Identity Resolutions Settings page.

As data strategies become increasingly complex and the volume of data rapidly scales, Warehouse customers are starting to move to a more flexible data architecture model to de-couple storage from compute in order to easily glean insights from raw Segment data while optimizing for scale, cost and performance.

Segment Data Lakes bridges the gap between a traditional data lake and a data warehouse by building a clean data lake on top of Segment data.

Segment Data Lakes empowers Data teams with new ways to glean insights directly from raw Segment data to effectively power advanced analytics and data science use cases across the business.