Real-time, streaming, and batch audience sharing to Adobe Target

Architecture

Reference architecture for the Online/Offline Web Personalization Blueprint

Sequence Detail

Reference architecture for the Online/Offline Web Personalization Blueprint

Overview Architecture

Reference architecture for the Online/Offline Web Personalization Blueprint

Implementation patterns

Known Customer Personalization is supported via several implementation approaches.

Implementation pattern 2 - Application specific SDKs

Using traditional application-specific SDKs (for example, AT.js and AppMeasurement.js). Real-time Edge segment evaluation is not supported using this implementation approach. However streaming and batch audience sharing from Experience Platform hub are supported using this implemenation approach.

Refer to the Adobe Target Connector Documentation
Refer to the application specific SDK Blueprint

Implementation considerations

  • Any primary identity can be leveraged when utilizing implementation pattern 1 outlined above with the Edge Network and Web SDK.
  • First login personalization with known customer data that was prior ingested into RTCDP requires that the personalization request has a primary identity which matches the known customer identity graph in the Real-time Customer Data Platform. If the primary ID is set to ECID or an identity that has not yet been stitched with the known customer profile, then it will take several minutes for the identity stitch to be realized on the edge and for edge personalization to include prior ingested known customer data.
  • Edge profiles currently have a 14 day TTL. Hence if a user has not logged in or been active for 14 days on the edge, the profile on the edge may be expired, and thus the edge must fetch the profile from the hub to have the historic profile view to power personalization which includes prior ingested profile attributes and segments, this will result in personalization with the historic view of profiles happening on subsequent page views vs. the first login.
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