Use cases for AI capabilities in Adobe Target | Community
Skip to main content
AbdulJo1
Adobe Champion
AbdulJo1Adobe Champion
Adobe Champion
March 25, 2026
Solved

Use cases for AI capabilities in Adobe Target

  • March 25, 2026
  • 3 replies
  • 97 views

I’m looking to enable the AI capabilities in Adobe Target. If you’ve already done this, I’d be interested in learning which use cases you tried.

    Best answer by PrasanthV

    Hi ​@AbdulJo1,

     

    I believe it will be helpful to you.

     

    The Adobe Target AI Assistant is a conversational, generative AI tool integrated within the Adobe Experience Cloud to accelerate personalization and optimization. It helps users build audiences, troubleshoot workflows, and generate content, while providing best practices and operational insights to improve campaign performance. 

    Key Features and Capabilities:

    • Conversational Guidance: Asks questions in natural language to learn product features, such as "How do I build an audience?" or troubleshooting steps.
    • Content Generation: Leverages AI for creating campaign copy and imagery.
    • Operational Insights: Provides metadata insights about customer objects (e.g., counts, lineage, and impact) without viewing raw customer data.
    • Workflow Acceleration: Assists in creating and managing personalization activities, such as A/B testing and experience targeting.
    • Platform Integration: Integrated with Adobe Experience Platform (AEP), enabling insights across connected applications like Real-Time CDP and Customer Journey Analytics. 

    The AI Assistant is designed to enhance productivity for both novice and expert users, enabling them to understand complex Adobe Target features faster and ensure adherence to data security standards. 

    3 replies

    Gokul_Agiwal
    Community Advisor
    Gokul_AgiwalCommunity Advisor
    Community Advisor
    March 26, 2026

    Hi ​@AbdulJo1  

    Have you tried to implement below target capabilities which is primarily based on AI 

    • Auto-Target (machine‑learning–driven personalization)
    • Automated Personalization (AP) (algorithmic content selection and ranking)

    Thanks, 

     

      AbdulJo1
      Adobe Champion
      AbdulJo1Adobe ChampionAuthor
      Adobe Champion
      March 26, 2026

      Hi Gokul, 

      Thank you for the response. I did implement Recommendations, that has ML but not auto target or automated personalization. Hopefully soon! 

       

      My question is about the AI assistant that we see in the top right. Have you enabled that feature yet?  

      S
      santoshkr
      Level 2
      April 1, 2026

      Hi ​@AbdulJo1 

       

      Enabling AI in Adobe Target (Auto-Allocate and Auto-Target) is the best way to move from static testing to 'always-on' optimization. Here are the three most successful use cases: 

      1. The 'Breaking News' or High-Velocity Campaign (Auto-Allocate)

      • The Problem: In a 48-hour flash sale, a standard A/B test spends 24 hours just 'learning,' losing potential revenue on the losing variant.
      • The AI Use Case: Use Auto-Allocate. The AI shifts traffic in real-time to the winning banner/offer as soon as statistical significance starts to lean one way.
      • Value: It minimizes 'regret' (lost conversions) by not wasting 50% of your traffic on a poor performer during a short window. 

      2. The 'Paradox of Choice' on Homepages (Auto-Target)

      • The Problem: A 'one-size-fits-all' hero banner ignores that a returning customer has different needs than a first-time visitor.
      • The AI Use Case: Use Auto-Target. Target uses an ensemble of Machine Learning algorithms to look at the visitor's browser, location, and past behavior to serve the version most likely to convert that specific individual.
      • Value: This handles the 'long tail' of your audience that manual segments (like 'Chrome Users in London') often miss. 

      3. Large-Scale Content Testing (Automated Personalization - AP)

      • The Problem: You have 5 different headlines, 3 images, and 2 CTA buttons. Manually testing every combination (MVT) would take months to reach significance.
      • The AI Use Case: Use Automated Personalization (AP). The AI tests all combinations and learns which 'offer' performs best for which user profile automatically.
      • Value: It automates the 'mapping' of content to users without you having to build 30 different manual rules. 

      Thanks,

      Santosh Kumar

      Santosh Kumar | AEP & CJA Expert
        AbdulJo1
        Adobe Champion
        AbdulJo1Adobe ChampionAuthor
        Adobe Champion
        April 2, 2026

        Thank you for sharing, ​@santoshkr! 

          S
          santoshkr
          Level 2
          April 2, 2026

           

          You're very welcome, ​@AbdulJo1 ! Happy to help.

          If that answered your question, could you please mark the reply as the 'Accepted Solution'? It helps other community members with the same question find the answer quickly and keeps the forum organized.

           

          Thanks,

          Santosh Kumar

          Santosh Kumar | AEP & CJA Expert
          P
          PrasanthVAccepted solution
          Level 3
          April 10, 2026

          Hi ​@AbdulJo1,

           

          I believe it will be helpful to you.

           

          The Adobe Target AI Assistant is a conversational, generative AI tool integrated within the Adobe Experience Cloud to accelerate personalization and optimization. It helps users build audiences, troubleshoot workflows, and generate content, while providing best practices and operational insights to improve campaign performance. 

          Key Features and Capabilities:

          • Conversational Guidance: Asks questions in natural language to learn product features, such as "How do I build an audience?" or troubleshooting steps.
          • Content Generation: Leverages AI for creating campaign copy and imagery.
          • Operational Insights: Provides metadata insights about customer objects (e.g., counts, lineage, and impact) without viewing raw customer data.
          • Workflow Acceleration: Assists in creating and managing personalization activities, such as A/B testing and experience targeting.
          • Platform Integration: Integrated with Adobe Experience Platform (AEP), enabling insights across connected applications like Real-Time CDP and Customer Journey Analytics. 

          The AI Assistant is designed to enhance productivity for both novice and expert users, enabling them to understand complex Adobe Target features faster and ensure adherence to data security standards. 

            AbdulJo1
            Adobe Champion
            AbdulJo1Adobe ChampionAuthor
            Adobe Champion
            April 10, 2026

            Thank you ​@PrasanthV, what you shared is what I was looking for. Cheers! 

            P
            PrasanthV
            Level 3
            April 13, 2026

            You’re welcome! Glad it helped.

            Terms & ConditionsAccessibility statement

            Loading footer...