ADOBE TARGET FEATURES
Personalized interactions
Tailor your customer experiences to maximize revenue on websites, mobile apps, social media, and more by using real-time customer data and the machine learning (ML) capabilities in Adobe Target.
Watch overview | Watch video about personalized interactions
Personalization
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 individualized marquee image on a product page.
- Offer pairing. Personalize various offers combinations based on individual profiles, which can be especially valuable during the discovery phase of testing.
Next-hit personalization
Dynamically personalize a customer’s journey using Adobe Real-Time CDP, which captures customer data and behaviors during their current session.
- Recent actions and preferences. Personalize based on the most recent customer actions, preferences, and data attributes.
- Real-time activation. Activate both known and unknown audience segments in real time.
- Contextualized 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, behavior, and similar past visitor behaviors. This ensures the content shown is most likely to drive conversion.
Optimized recommendations
Automatically display a personalized selection of products, content, navigation options, and more by configuring various recommendation algorithms. This feature uses previous buying and browsing behavior to let you direct customers to unknown relevant items.
More about personalized interactions.
Content as a Service v3 - personalized-interactions - Wednesday, January 8, 2025 at 15:52
Learn how to use personalization 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 personalization features
