AI lead scoring rule discovery
Discover AI rules surfaces AI-suggested lead scoring rules with confidence levels across forms, page visits, email opens, enrollments and CTA clicks.
Entries on this page are generated by AI from vendor sources. How AI is used
Rule- or model-based scores on people and accounts for engagement and fit, and their thresholds. Pure model features also take ai.predictive-models.
| Month | Changes |
|---|---|
| 2026-02 | 1 |
| 2026-03 | 0 |
| 2026-04 | 1 |
| 2026-05 | 0 |
| 2026-06 | 1 |
| 2026-07 | 2 |
| 2026-08 | 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.
Discover AI rules surfaces AI-suggested lead scoring rules with confidence levels across forms, page visits, email opens, enrollments and CTA clicks.
A Leads tab in Customer Agent Insights shows conversations, conversion rate, and the mix of qualified, partially qualified, and not qualified leads, with drill-through to chats.
Health Score rules natively support "and" logic across cross-property fit criteria or event-specific engagement criteria, awarding points only when both are met.