Multiple RFM scoring models
Accounts can now build up to four independent RFM scoring models, each with its own metric, thresholds and time frame.
Entries on this page are generated by AI from vendor sources. How AI is used
Predictive audiences
Audiences built from model scores.
| Month | Changes |
|---|---|
| 2026-05 | 1 |
| 2026-06 | 0 |
| 2026-07 | 0 |
| 2026-08 | 1 |
| 2026-09 | 1 |
| 2026-10 | 1 |
Select a month to view the whole-record timeline. This clears timeline filters.
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
Filters apply to the timeline. The chart and platform totals describe the whole record. Selecting a chart month clears timeline filters to show that same whole-record scope.
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 20261 change
SFMC Next 1 minor update Next best action
- Beta Adaptive Campaign Audiences for multi-campaign qualification source In beta, AI-driven Adaptive Campaign Audiences will choose which campaign best fits a customer who qualifies for more than one.
September 20261 change
August 20261 change
AI audience recommendations
Generates suggested audiences based on business context and visitor data, scoped to common retail use cases.
May 20261 change
AI audience recommendations
Now GA (26 Aug 2026). Current summary: Generates suggested audiences based on business context and visitor data, scoped to common retail use cases.