Adobe Journey Optimizer Experimentation Accelerator: In development
Turn insights into action with experimentation analysis — at scale.
Expand your abilities to test and learn across your organisation with Journey Optimizer Experimentation Accelerator, generative AI capabilities designed to provide insights quickly and prioritise high-impact optimisation opportunities.
Explore the features and capabilities of Adobe Journey Optimizer Experimentation Accelerator.
Great customer experiences that drive results don't happen by chance — they're tested, refined and perfected. However, increasing testing volume can result in population and time constraints, reducing valuable insight access. Journey Optimizer Experimentation Accelerator uses generative AI to automate analyses and synthesise insights at scale, so you can quickly identify high-impact experiments and growth opportunities — all while reducing manual processes.
Understand which experiences drive impact and why.
Leverage AI to get insights that are informed by your past experiments to identify new experiments and test ideas.
- Analyse experience variants at scale to incorporate past test learnings and trends into future experiments.
- Get insights on test velocity, winning experiments and scheduled campaigns faster with AI-suggested test ideas based on your core metrics and KPIs.
- Eliminate testing guesswork with generative AI optimisation recommendations based on revenue, retention rates and other priority metrics.
Prioritise high-impact growth opportunities.
Use generative AI to identify opportunities to efficiently reach business goals using new experience variants ranked by performance.
- Understand the estimated value and impact of an experience in relation to your overall business goals.
- Get suggestions for optimising audience segmentation and experiment efficiency.
- Automatically receive a prioritised list of newly discovered growth-based opportunities to enhance marketing campaigns and customer journeys.
Run smarter experiments with statistical precision and greater speed.
Accelerate experiment velocity while maintaining statistical significance by using adaptive inference models and generative AI insights to continuously optimise active experiments.
- Run infinite adaptive experiments using novel continuous inference methods.
- Apply new generative AI insights to running experiments while maintaining statistical rigour.
- Increase experiment velocity and cadence using generative AI advancements to produce on-brand content at scale.
Scale experimentation maturity across the enterprise.
Manage and optimise experiments efficiently using cross-functional workflows and unified collaboration.
- Collaborate across marketing, product, growth and experimentation teams to unify optimisation efforts.
- Get self-service access to real-time active experiment results, including key metrics and opportunities spanning global workspaces.
- Proactively deliver experiment recommendations to marketing and growth teams for activation within Adobe Journey Optimizer and Adobe Target.
Discover the Adobe advantage.
Expansive Knowledge Base
Tap into past experiment learnings and industry best practices for running winning tests. Generate opportunities using Adobe's extensive insight library, including content, real-time profile data and customer journey patterns.
AI Integrity
Adobe’s commitment to ethical AI ensures data is handled responsibly and transparently. With rigorous standards, you can confidently scale AI and machine learning experiments, knowing insights respect privacy, protect customer trust and are on the cutting edge of AI innovation.
Industry Pioneer
For over a decade, leading global brands have trusted Adobe's experimentation and data-driven solutions to optimise customer experiences. Journey Optimizer Experimentation Accelerator builds on this foundation, empowering teams to unify experimentation, AI and business insights into the next era of growth.
