BrazeAI Decisioning Studio Go
An AI decisioning agent for recurring email programs that picks the best subject line, send time, and image per recipient from past engagement, with a control group to measure lift.
Entries on this page are generated by AI from vendor sources. How AI is used
Incrementality
Measuring causal lift.
| Month | Changes |
|---|---|
| 2026-03 | 1 |
| 2026-04 | 0 |
| 2026-05 | 2 |
| 2026-06 | 0 |
| 2026-07 | 0 |
| 2026-08 | 0 |
| 2026-09 | 1 |
| 2026-10 | 2 |
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Platforms with recorded changes
Platforms with at least one feature state classified in this capability (primary or secondary, minor updates included), in the site's fixed order. Select one to filter the timeline. Counts are not shown side by side: they reflect how finely each vendor documents, not how much it offers.
Timeline
← Back to the Release MatrixTimeline filters
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Matches the Release Matrix evidence: latest state reached in the selected period, entries under review excluded, primary and secondary capabilities included.
No recorded changes match these filters.
Within each period: major updates as cards, then notable ones as rows; newest first in each group. Minor updates below.
October 20262 changes
Campaign Decisioning policy reward and uplift tracking
Lets a decisioning policy set a reward event, track more signals, define timed send limits, and show treatment-vs-control uplift.
September 20261 change
Journey-level holdout groups
Journeys can define a holdout group in journey properties to measure incremental lift via CJA; limited to select organizations.
May 20262 changes
Decisioning Agent Analytics
Early access dashboard measuring incremental engagement uplift from Campaign Decisioning Agents by comparing an AI-optimized treatment group against a control group.
Send Time Optimization Insights
New reporting shows the lift and impact of Send Time Optimization-decisioned sends, built on an updated STO model.
March 20261 change
Send-Time Optimization lift report
A new lift report in Journeys reports measures Send-Time Optimization's impact on campaign performance.