Time-series custom objects for B2B segmentation
Real-Time CDP B2B Edition now supports time-series relational schemas in custom objects for segmentation.
Entries on this page are generated by AI from vendor sources. How AI is used
Audiences defined with SQL or relational logic across entities.
| Month | Changes |
|---|---|
| 2026-04 | 1 |
| 2026-05 | 4 |
| 2026-06 | 1 |
| 2026-07 | 0 |
| 2026-08 | 3 |
| 2026-09 | 1 |
Select a month to view the whole-record timeline. This clears timeline filters.
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.
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.
Real-Time CDP B2B Edition now supports time-series relational schemas in custom objects for segmentation.
The personalization editor gains a Loop block that renders one content block per record from a relational collection.
After the B2B CDP architecture upgrade, account audiences no longer directly use experience events; a people audience must be built first.
Supports custom objects with one-to-many relationships for B2B CDP segmentation use cases.
Relational schemas now support multi-field composite keys, with DDL/Excel loading auto-creating composite relationships.