This record is generated by AI from the cited source. How AI is used
Adds a Custom Formula ranking strategy combining fixed org-level goals with dynamic user-level signals to rank offers with real-time recalculated scores.
- Platform
- MoEngage
- Capability
- Offer decisioning · Decisioning
- Vendor's name
- Custom Formula Ranking Strategy
- First recorded
- Record last updated
Record dates describe acquisition and updates, not human review. About corrections.
Lifecycle history 1 state
- GAMay 2026First recorded 28 Sep 2026 · recorded from the source history · vendor release notes · moengage.com ↗ · archived copy, 25 Oct 2026 ↗
Something wrong or out of date in this record? , ideally with a link to better evidence. How corrections work
Offer decisioning on other platforms latest first
- Adobe AJOProfile and context features for Personalized optimization modelsPreview3 Nov 2026
- Adobe AJODecisioning support in custom outbound channelsGA2 Oct 2026
- Adobe AJOAudience enrichment attributes in Decisioning rulesPreview23 Sep 2026
- Adobe AJODecisioning in the Web channelGA22 Sep 2026
- Adobe AJOAEP profiles in ranking formula simulationGA22 Sep 2026
- KlaviyoPrice and stock filters for product recommendationsGA27 Aug 2026
- Adobe AJODecisioning rules and ranking formula simulationPreview29 Jul 2026
- Adobe AJODynamic custom attributes on decision itemsGA27 Jul 2026
- Adobe AJOAEM content fragments in DecisioningGA18 Jun 2026
- BloomreachRecommendations merchandising controls and unified toolGA10 Jun 2026
All Offer decisioning changes →
More from MoEngage in Offer decisioning
- Fallback items for RecommendationsGAOct 2026
- Recommendation model testing toolGASep 2026
- Decision Policy simulator for Offer DecisioningGAJun 2026
- Enhanced offerings and decision policiesGAFeb 2026