Journey Optimizer Experimentation Accelerator | Product Description

Effective as of 30, September 2025

What is Adobe Journey Optimizer Experimentation Accelerator?

Adobe Journey Optimizer Experimentation Accelerator is an AI first solution that runs alongside Adobe Target and Adobe Journey Optimizer. Experimentation Accelerator helps Customer analyze what is working and not working within Customer’s past and active experiments, provide new test ideas as opportunities for growth-based AI insights, and scale experimentation program performance — all within a ‘centralized hub’ to organize and share learnings across Customer’s teams and business units.

Adobe Journey Optimizer Experimentation Accelerator Packages

Experimentation Accelerator uses Microsoft Azure OpenAI (“AOAI”) or Meta Llama (built with Llama). Use of such LLMs through Adobe is separate and distinct from any direct accounts or usage of such LLMs that Customer may have negotiated directly.

Adobe Journey Optimizer Experimentation Accelerator: Product Limitations

• Licensing. To use Adobe Journey Optimizer Experimentation Accelerator, Customer must maintain an active license to Adobe Target and/or Adobe Journey Optimizer. Experimentation Accelerator is not compatible with Adobe Journey Optimizer Prime Starter or Ultimate Starter.
  
• Inputs. Customer may not use any bots or other automated systems as the source of inputs.
• Generative AI Feature. Journey Optimizer Experimentation Accelerator is powered by Generative AI Feature(s).

Definitions

• Experiment Insights means a statistical and Generative AI Feature that generates learnings that show what works within experiments, highlighting impact to core metrics.
• Experiment Opportunities means a statistical and Generative AI Feature that generates test ideas based on content, audience, and behavioral data, prioritizing opportunities ranked by predicted lift or conversion.
• Experiment Inventory Management means a dedicated workspace in Experimentation Accelerator to manage a centralized list of all experiments across Adobe Journey Optimizer and/or Adobe Target with quick filters, smart tags, test owners, and experiment performance.
• Experiment Summarization means a Generative AI Feature that generates a summary of experiment analysis results including number of treatments or variants within an experiment, experiment status, experiment owner, and experiment performance.
• Generative AI Feature is defined within the Specific Licensing Terms for Adobe Generative Artificial Intelligence Features, available at https://www.adobe.com/legal/terms/enterprise-licensing/genai-ww.html.