Use cases for AI capabilities in Adobe Target | Community
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AbdulJo1
Level 2
March 25, 2026
Question

Use cases for AI capabilities in Adobe Target

  • March 25, 2026
  • 2 replies
  • 36 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.

2 replies

Gokul_Agiwal
Community 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
AbdulJo1Author
Level 2
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?  

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