Splitting up Journey Optimizer (AJO) work from #4 in to this.
Original feedback:
Per SC Feedback Document
Customer reality (AEM Publish + Target/AJO):
• Marketer-selectable audiences/segments from AEP/Target/AJO.
• Offer library (XFs, CFs) used across web, email, and apps.
• In-editor experience targeting: authors can configure who sees what directly in the page editor.
DA+EDS reality:
• Strong experimentation framework: A/B tests, metrics, variants from doc-based authoring.
• Rule-based targeting via metadata and edge decisioning.
• No dedicated Target/AJO configuration UI inside DA comparable to AEM Sites/UE.
Use case to support:
“Card issuer or airline wants to:
• Test different hero messages and CTAs for different audience segments.
• Blend experiments with AEP/Target/AJO audiences.
• Allow marketers to configure these without editing code.”
Demo script ask:
In DA, define two hero variants for a landing page.
Configure an experiment and a rule-based targeting condition (e.g., returning vs new visitor, or high-value segment from AEP).
Show:
• How a marketer chooses the targeting rule in DA.
• How the system reports experiment results.
Roadmap ask: show how Target/AJO audiences could be surfaced in DA in a simple, non-fragmented way.
Splitting up Journey Optimizer (AJO) work from #4 in to this.
Original feedback:
Per SC Feedback Document
Customer reality (AEM Publish + Target/AJO):
• Marketer-selectable audiences/segments from AEP/Target/AJO.
• Offer library (XFs, CFs) used across web, email, and apps.
• In-editor experience targeting: authors can configure who sees what directly in the page editor.
DA+EDS reality:
• Strong experimentation framework: A/B tests, metrics, variants from doc-based authoring.
• Rule-based targeting via metadata and edge decisioning.
• No dedicated Target/AJO configuration UI inside DA comparable to AEM Sites/UE.
Use case to support:
“Card issuer or airline wants to:
• Test different hero messages and CTAs for different audience segments.
• Blend experiments with AEP/Target/AJO audiences.
• Allow marketers to configure these without editing code.”
Demo script ask:
In DA, define two hero variants for a landing page.
Configure an experiment and a rule-based targeting condition (e.g., returning vs new visitor, or high-value segment from AEP).
Show:
• How a marketer chooses the targeting rule in DA.
• How the system reports experiment results.
Roadmap ask: show how Target/AJO audiences could be surfaced in DA in a simple, non-fragmented way.