Update
[Release Update] Personalize journeys with behavioral data using Computed Attributes
We're excited to share that Computed Attributes feature is live in Adobe Journey Optimizer and Real-time CDP. With this feature, you can quickly aggregate events for each of a customer's profile into a profile attribute, enabling enhanced behavior-based segmentation, personalization, and activation. You can leverage computed attributes to:
- Use behavioral data directly in unitary or batch journeys to drive impactful personalization (e.g., personalize 1:1 with last_viewed product or purchase counts )
- Create category fields within profile attributes and use them for personalization without creating one segment per category, thereby reducing the number of segments to be created and managed
- Simplify journey workflow by using Computed Attribute to split journeys quickly based on behavioral data
- Minimize events in profile by deleting old events (e.g., creating a 3 month sum_orders computed attribute and applying 1 month TTL on EE purchase datasets)
Questions/thoughts on use cases? Let's discuss in the thread below!
Learn more about this feature here: https://experienceleague.adobe.com/docs/experience-platform/profile/computed-attributes/overview.html?lang=en
Using computed attributes in Adobe Journey Optimizer: https://experienceleague.adobe.com/docs/journey-optimizer/using/audiences-profiles-identities/profiles/computed-attributes.html?lang=en
Using computed attributes in Adobe Journey Optimizer: https://experienceleague.adobe.com/docs/journey-optimizer/using/audiences-profiles-identities/profiles/computed-attributes.html?lang=en