The Experiments tab: one searchable, filterable list of Journey Optimizer and Target experiments with KPIs such as total and in-progress experiments, shared across teams and workspaces.
Last checked 2026-10-20
CX Enterprise atlas / Customer Engagement | AI & agents
Adobe Journey Optimizer Experimentation Accelerator
ProductGenerally available
Customer EngagementAI & agents
Also known as Journey Optimizer Experimentation Accelerator, AJO Experimentation Accelerator, Experimentation Accelerator, Experiment Accelerator
AI-first application that gathers experiments from Journey Optimizer and Adobe Target in one place, analyzes why treatments won, and proposes new test ideas ranked by expected impact. It recommends but never changes experiments itself; suggested changes are applied in Journey Optimizer or Target.
Integrates with 4
Built on 1
Integrated by 2
Contains 7 parts, 18 entries
- Experiments catalog# Capability
- Experiment details# Capability
Per-experiment page combining outcome, metric, hypothesis, results and AI output.
Last checked 2026-09-28
- Experiment outcome# Capability
Shows the winning or leading treatment, its lift over baseline, visitors and audience.
Last checked 2026-09-28
- Primary metric# Capability
The success metric for the experiment. Teams reporting through Customer Journey Analytics or Adobe Analytics can import a different metric here; the change is not written back to the source.
Last checked 2026-09-28
- Hypothesis and treatments# Capability
Documents the planned change and expected impact, with auto-generated or uploaded treatment screenshots; required before insights appear.
Last checked 2026-09-28
- Results# Capability
Per-treatment place, people, lift, confidence and conversion rate.
Last checked 2026-09-28
- Experiment insights# Capability
AI-generated learnings about which content attributes drove the winning treatment, available once results are statistically significant.
Last checked 2026-09-28
- Opportunities# Capability
AI-suggested treatments with a hypothesis, rationale and a rating for learning and conversion potential, which open in Journey Optimizer's experiment panel or Target's workflow.
Last checked 2026-10-20
- Adaptive experimentation# Capability
Adaptive, always-on tests whose models adjust over time as results come in.
Last checked 2026-10-20
- Collaboration and sharing# Capability
AI-generated experiment summaries, team roles and real-time alerts for sharing results with stakeholders.
Last checked 2026-10-20
- AI models and data usage# Capability
Embeds treatment content (rendered HTML and screenshots), correlates it with performance and metadata, and trains a dedicated model per sandbox that is never shared across customers.
Last checked 2026-09-28
- Access and permissions# Capability
Opened from the Journey Optimizer Experimentation menu or the app switcher (Target-only users), with View Experiments and Manage Experiment Metadata permissions per sandbox.
Last checked 2026-09-28
- Experimentation Agent# AI agent
Experience Platform agent that surfaces in Experimentation Accelerator and AI Assistant. It reports what happened in experiments, explains why and suggests what to test next across web, email, push and apps. It cannot create or edit experiments. Requires the Experimentation Accelerator license.
Built on: Experience Platform Agent Orchestrator
Agent for: Journey Optimizer
Last checked 2026-09-28
- Experiment summarization# Capability
Non-technical overviews of experiment results for stakeholders, such as which treatment leads and its lift.
Last checked 2026-09-28
- Content analysis# Capability
Examines the messaging and creative of treatments to explain why some outperformed others.
Last checked 2026-09-28
- Attribute identification# Capability
Tags treatments by theme, tone and format and links those attributes to conversion.
Last checked 2026-09-28
- Recommendation generation# Capability
Suggests new treatments or adjustments to test based on earlier experiments.
Last checked 2026-09-28
- Opportunity discovery# Capability
Identifies broader areas and new angles for experimentation across the program.
Last checked 2026-09-28
Sources 4
- experienceleague.adobe.com/en/docs/experimentation-accelerator/using/overview
- experienceleague.adobe.com/en/docs/journey-optimizer/using/content-management/content-experiment/experiment-accelerator-gs
- helpx.adobe.com/legal/product-descriptions/journey-optimizer-experimentation-accelerator.html
- experienceleague.adobe.com/en/docs/journey-optimizer/using/get-started/ai-features