Current Mix Modeler release notes
- Topics:
- Release Notes
CREATED FOR:
- User
- Admin
Last update: February, 2025.
These release notes cover the latest release of Mix Modeler. Mix Modeler releases operate on a continuous delivery model, which allows for an approximate monthly release cadence. Accordingly, these release notes get updated, so check them regularly.
January - February 2025
Feature | Description | Rollout start | General Availability |
---|---|---|---|
Nested conditions | You can create nested conditions using AND and OR when you define an eligible data population as part of the configuration of a model. | January 15, 2025 | t.b.d |
View reports | You can view a report on a conversion or a marketing touchpoint you have defined as part of harmonizing data. | January 15, 2025 | February 18, 2025 |
Delete confirmations | You are prompted to confirm the deletion of a plan or a model. | January 15, 2025 | February 18, 2025 |
Factors UI improvement | You can select which factors you want to display in Model insights. | January 15, 2025 | February 18, 2025 |
Error handling | User-friendly error messages and improved user experience for error scenarios in data harmonization and plans. | February 18, 2025 | February 18, 2025 |
Model status | Redefinition of model statuses across the model lifecycle. | February 18, 2025 | February 18, 2025 |
Release strategy
Mixx Modeler uses feature flags (also known as “toggles”) to control the visibility of new features, allowing for controlled scale testing prior to full release. This release strategy includes the following phases:
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Limited Testing: A phased release begins with testing by internal Adobe users. It is then made available to a small group of customer accounts to ensure that the feature meets customer needs and expectations.
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Start of Rollout: Rollout of a phased release begins with the Limited Testing phase. The release is then scaled from 0% to 100% availability to customers over the course of a couple months. Phased rollout happens at the Experience Cloud Organization level, so all entitled users in an organization receive the same experience.