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ADOBE ENGAGEMENT INTELLIGENCE - IN DEVELOPMENT

Decisioning intelligence to continuously optimise experiences and outcomes.

Meet each moment, intelligently. Adobe's AI-powered decisioning adapts customer journeys and experiences in real time based on behavioural signals and business goals. Define your desired outcomes and guardrails — then let AI get you there.

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Adapt the full customer experience in real time.

Adobe Engagement Intelligence turns static experiences into perpetually optimised journeys and campaigns across the entire customer lifecycle. By integrating data, content and real-time engagement signals with AI-first predictive models, it offers powerful decisioning that delivers timely, relevant experiences — helping improve performance and scale impact.

Mediate and optimise for key goals.

Optimise for outcomes that matter and ensure the right message reaches the right customer at the right moment. From content creation to brand visibility, Engagement Intelligence provides a decisioning layer across the entire customer experience (CX).

  • Connect previously siloed stages of CX to power more cohesive engagement.
  • Reduce complexity by centralising decisioning across channels, campaigns and touchpoints.
  • Improve performance by optimising each interaction within the context of the full customer journey.

Semantic intelligence at scale.

Build a fuller customer view with Adobe’s semantic intelligence that unifies structured data, like CRM or channel engagement, with more complex signals like conversational intent, audio and video content. Activate that context and meaning to power real-time personalisation across channels and AI-powered conversational experiences.

  • Improve performance for new and existing experiences by understanding behavioural context — not just historical data.
  • Help marketers and creative teams create more effective content and journeys with intelligent guidance and suggestions.
  • Provide greater transparency into how decisions are made, making it easier to understand, trust and refine AI-driven outcomes.

AI-first predictive decisioning.

Move beyond static rules and segmented journeys and deliver the next best action for each customer using real-time intelligence that continuously learns.

  • Improve decisions over time based on customer interactions and outcomes.
  • Adapt experiences in real time based on changing signals and context.
  • Optimise engagement toward defined goals — without relying on manual rules or fixed journeys.

Autonomous orchestration.

Engagement Intelligence builds, executes and continuously adapts each journey, turning static workflows into dynamic experiences.

  • Spend less time building and maintaining journeys and more time focusing on strategy and outcomes.
  • Deliver personalised experiences without anticipating every possible customer path.
  • Respond instantly to changing customer behaviour and intent with journeys that adapt in real time.
  • Get complete insight and governance controls built into decisioning.

Questions? We have answers.

What is Adobe Engagement Intelligence?

Engagement Intelligence is Adobe's comprehensive suite of AI-powered decisioning capabilities embedded within the Adobe AI Platform. It powers the full arc of customer experience — from content supply chain to customer engagement to brand visibility — by continuously identifying the right goal and the best outcome for every individual.

How does Engagement Intelligence relate to AI decisioning capabilities in Adobe Journey Optimizer?

Engagement Intelligence evolves the decisioning capabilities currently available in Adobe Journey Optimizer — including offer eligibility rules, AI-powered ranking and scoring, send-time optimisation, content experimentation and real-time personalisation — with a powerful new generation of capabilities planned for future releases, including the semantic intelligence and agent-first user experience.

What is Adobe’s semantic intelligence?

Semantic intelligence understands the meaning and relationships between messages. This dramatically improves decisioning authoring suggestions and AI prediction quality — especially for new messages — and ensures brand coherence across every decision made at scale.