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ADOBE TARGET FEATURES

Personalised interactions

Tailor your customer experiences to maximise revenue on websites, mobile apps, social media and more by using real-time customer data and the machine learning (ML) capabilities in Adobe Target.

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Personalisation

Leverage advanced ML and marketer-defined rules to determine the most effective content when targeting different visitors.

  • Experience definition. Manually define the web or mobile experience for each audience segment.
  • Visitor assessment. Automatically evaluate web visitors and determine if they meet the criteria for specific experiences.
  • Cross-audience interactions. Create experiences for multiple audiences within a single activity — such as displaying an individualised marquee image on a product page.
  • Offer pairing. Personalise various offers combinations based on individual profiles, which can be especially valuable during the discovery phase of testing.
Car ad personalised using influential factor data

Recent customer activity data used to personalise a car offer email

Next-hit personalisation

Dynamically personalise a customer’s journey using Adobe Real-Time CDP, which captures customer data and behaviours during their current session.

  • Recent actions and preferences. Personalise based on the most recent customer actions, preferences and data attributes.
  • Real-time activation. Activate both known and unknown audience segments in real time.
  • Contextualised interactions. Deliver relevant content across digital properties and increase engagement and conversions.

Auto-target

Use advanced ML to determine and deliver the most relevant experience, combination of experiences or entire page for each visitor. The algorithm selects from multiple high-performing, marketer-defined experiences and serves the most relevant one to each visitor based on profile, behaviour and similar past visitor behaviours. This ensures the content shown is most likely to drive conversion.

Fashion ad using generative AI to target a high-value audience

Fashion website using generative AI to curate personalised product selections

Optimised recommendations

Automatically display a personalised selection of products, content, navigation options and more by configuring various recommendation algorithms. This feature uses previous buying and browsing behaviour to let you direct customers to unknown relevant items.

More about personalised interactions.

Content as a Service v3 - personalised-interactions - Wednesday, 8 January 2025 at 15.52

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Learn how to use personalisation features.

Find what you need in Adobe Experience League, our vast collection of how-to content — including documentation, tutorials and user guides.

Learn more | Learn more about how to use personalisation features