Probabilistic profile matching
Will merge likely duplicate profiles based on shared emails, phone numbers and similar names, keeping segments and reporting accurate without exports or custom code.
Entries on this page are generated by AI from vendor sources. How AI is used
Validating incoming data against expectations and surfacing data errors.
| Month | Changes |
|---|---|
| 2026-01 | 3 |
| 2026-02 | 1 |
| 2026-03 | 2 |
| 2026-04 | 1 |
| 2026-05 | 3 |
| 2026-06 | 6 |
| 2026-07 | 3 |
| 2026-08 | 3 |
| 2026-09 | 8 |
| 2026-10 | 7 |
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.
Will merge likely duplicate profiles based on shared emails, phone numbers and similar names, keeping segments and reporting accurate without exports or custom code.
A new overview tab reviews data health issues and lets admins create properties, objects and pipelines in one place.
Connector action configuration has a Delivery Requirements tab listing required fields by section, with a toggle and a skip-or-fail choice for unmet requirements.
Audience Builder validates field compatibility with the selected evaluation method and flags incompatible fields before save or publish.
A conversational skill in CX Enterprise Coworker runs statistical and semantic validations on datasets and fields to surface data quality issues via chat.
Now GA (22 Sep 2026). Current summary: Audience Builder validates field compatibility with the selected evaluation method and flags incompatible fields before save or publish.
Now GA (22 Sep 2026). Current summary: A conversational skill in CX Enterprise Coworker runs statistical and semantic validations on datasets and fields to surface data quality issues via chat.
Starting with API version /2026-09/, HubSpot will enforce admin-configured validation rules on all CRM API write paths for creating or updating records.
A Health tab flags low fill-rate properties, duplicate labels and unused associations across properties, objects, pipelines and lifecycle stages.
AI Assistant, powered by Agent Orchestrator, scans AEP datasets to flag data quality issues and suggest fixes.
Rejects Experience Event records with restricted characters in the _id field at ingestion, without failing the rest of the batch.
The schema page flags misconfigured related models by checking join key cardinality and warning on incorrect relationship settings.
AI gibberish detection covers all text fields on form submissions, moving flagged entries to the Spam Submissions tool and deleting them after 90 days.
Lets teams define and manage event specifications to keep data clean and consistent across audiences, CAPI endpoints, analytics and AI workflows.
CSV user imports can be validated before running, producing a downloadable report of rows that will fail or partly succeed.
Experience Platform now runs built-in real-time checks on audience definitions for accuracy, stability and scalability while you build them.