Adobe Journey Optimizer Experimentation Accelerator
Turn experiments into AI-powered insights that drive growth.
Expand your team's ability to quickly test and share learnings across your organisation. Journey Optimizer Experimentation Accelerator is an AI-first application designed to surface actionable insights and high-impact optimisation opportunities.
Let AI deliver deeper insights to scale experimentation.
Great customer experiences that drive results are tested, refined and perfected. Journey Optimizer Experimentation Accelerator uses generative and agentic AI to automate analysis and synthesise insights so you can quickly identify high-impact experiments and growth opportunities from a centralised workspace — all while reducing manual processes.
- Prioritised testing strategies
- High-impact growth opportunities
- Adaptive experimentation
- Centralised management
Understand which experiences drive impact and why.
Get insights that are informed by your past and active experiments to refine hypotheses and focus on better experimentation strategies.
- Understand what worked, why and for whom by analysing experience variants with AI.
- Detect valuable optimisation patterns across experiments, audiences and journeys.
- Turn raw experiment data into clear, contextual guidance for better strategic decisions across teams and goals.
- Visualise how experiments affect key metrics and KPIs with timeline views and filters.
Identify high-impact growth opportunities.
Discover new test ideas using agentic and generative AI insights to create variants that are most likely to improve conversions.
- Get AI-suggested test ideas ranked by predicted lift that are aligned to your KPIs, so you know exactly what to test next.
- Improve metrics on test velocity and successful experiments with AI-powered rationale for test design, segmentation and content changes — enabling impactful, data-driven testing.
- Understand how each experience — from single interactions to multi-step journeys — contributes to your marketing performance and customer journey outcomes.
Run smarter experiments with statistical precision and greater speed.
Quickly iterate best performing variants or treatments mid-flight on active experiments to maximise impact per test — without needing larger sample sizes.
- Continuously adjust active experiments using AI and “human-in-the-loop" workflows to activate new test ideas and accelerate conversion lift.
- Test more variants with confidence using adaptive experiment models that maintain statistical rigour and sample size ratios.
- Increase testing velocity with on-brand content powered by generative AI and collaborative sharing across teams.
Scale experimentation with centralised management.
Empower cross-functional teams to manage and optimise experiments at scale from a centralised hub for better collaboration, organisation and insight sharing.
- Unify experimentation efforts across marketing, product, growth and experimentation teams through shared workspaces and feedback loops.
- Get self-service access to real-time test results through a centralised catalogue of experiments, performance metrics and business impact across global workspaces.
- Share insights using presentation-ready summaries designed for cross-functional knowledge sharing and stakeholder communication.
Discover the Adobe advantage.
AI, machine learning and causal inference
Analyse clusters of content variants to reveal patterns between content, audience and user behaviour attributes. This helps you to predict conversion or revenue lift and generate high-impact test ideas using generative AI.
Expansive knowledge base
Tap into insights from past experiments and industry best practices to run effective 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 that insights respect privacy and protect customer trust.
Industry Pioneer
Adobe's been a leader in enterprise experimentation and data-driven optimisation for over a decade. Journey Optimizer Experimentation Accelerator builds on this foundation, empowering teams to unify experimentation, AI and business insights for the next era of growth.
Learn more about Journey Optimizer Experimentation Accelerator.
Content as a Service v3 - Learn more about AJO - Wednesday, 24 September 2025 at 08.03
Questions? We have answers.
What is Journey Optimizer Experimentation Accelerator and what does it do?
Who is Journey Optimizer Experimentation Accelerator for?
How can organisations benefit from Journey Optimizer Experimentation Accelerator?
Teams responsible for experimentation and optimisation typically conduct manual, time-intensive analysis to understand if and why tests are affecting success metrics or KPIs and prepare findings to share with key stakeholders. Journey Optimizer Experimentation Accelerator enables you to:
- Prioritise testing - surface experiment insights to reveal why tests win or stall and prioritise testing strategies based on business goals/KPIs.
- Accelerate results - go from ideation-to-action in minutes to generate new test ideas driving growth with higher conversion and revenue lift.
- Scale performance - centralise experiment performance and streamline cross-team collaboration that fosters learning and innovation.
What problems does Journey Optimizer Experimentation Accelerator solve?
Journey Optimizer Experimentation Accelerator helps solve core experimentation challenges such as:
- Removing barriers for teams that don’t know where to start their A/B testing.
- Accelerating their experimentation maturity and programme performance more quickly.
- Preserving and sharing experiment wins and learnings that are currently lost or siloed across teams.
- Testing and iterating faster by unblocking the use of generative AI content variants and limiting visitor traffic or sample size requirements.
- Scaling experimentation across the business by reducing siloed, single channel testing and bringing workflows and data sharing together.
What makes Journey Optimizer Experimentation Accelerator different from other solutions?
How does Journey Optimizer Experimentation Accelerator work? What key performance indicators (KPIs) can I track with it?
Journey Optimizer Experimentation Accelerator uses AI and machine learning to analyse past and active experiment performance and generates new test ideas for activation with human-in-the-loop workflows. Currently, it analyses experiment metadata, performance of test treatments and variants and the content of a treatment or variant with plans to expand to audience, channel and journey data types.
Journey Optimizer Experimentation Accelerator will offer conversion metrics out-of-the-box with experiments. If customers are tracking revenue metrics in either Adobe Analytics or Adobe Customer Journey Analytics, Journey Optimizer Experimentation Accelerator will show progress and suggest new test idea opportunities based on those revenue metrics.
How does Journey Optimizer Experimentation Accelerator differ from Adobe Target or Adobe Journey Optimizer?
Does Journey Optimizer Experimentation Accelerator execute or run experiments?
Where can I deploy and access Journey Optimizer Experimentation Accelerator? Can I integrate it with my existing martech stack?
Let us show you the full power of Adobe Journey Optimizer Experimentation Accelerator.
