Adobe Target

Maximize Conversions with Personalized Customer Experiences

Adobe Target empowers you to deliver optimized, personalized digital interactions that drive real results. By tailoring content to each user, you can boost the metrics that matter most—conversions, customer retention, revenue, and beyond.

 

Unlock the Full Potential of Adobe Target

Discover how Adobe Target transforms digital engagement through customizable AI and seamless integration with Adobe Experience Platform. By optimizing and personalizing key customer interactions, Target helps drive stronger revenue impact and improved business outcomes.

What is Adobe Target?

Adobe Target is a web personalization and A/B testing solution within the Adobe Experience Cloud. It allows businesses to optimize digital experiences across various channels like websites, mobile apps, and even email, by tailoring content and offers to individual users or segments. This leads to improved customer engagement, increased conversions, and ultimately, higher revenue.

Personalized interactions

A user-friendly system to manage millions of assets.

Leverage a powerful decisioning engine that responds to real-time visitor behavior to deliver personalized content and offers across all channels. Define rule-based criteria to tailor web and mobile experiences for specific audience segments.

Deliver both same-page and next-page personalization instantly, adapting to each customer’s interactions in real time. Serve personalized content — including curated product selections — and intelligently rank offers and navigation paths most likely to drive conversions.

Optimize Every Experience with Manual and AI-Powered Testing

Fine-tuned experiences.

Leverage both manual and AI-driven experimentation to identify the most relevant, high-performing content for your key audiences—at every touchpoint.

  • Run A/B tests across entire experiences or test multiple elements at once to discover what resonates best.
  • Use multi-armed bandit testing to automatically direct traffic to the top-performing variations in real time.
  • Continuously enhance algorithm performance and let AI-driven personalization activities optimize themselves for better results.

Administration & control

Scalable, Intelligent Personalization with Adobe Target

Adobe Target’s flexible, open architecture empowers you to scale personalization and optimization programs—from simple experiments to enterprise-wide strategies—driving faster insights and higher ROI.

  • Collaborative Workflows: Let stakeholders preview, review, and approve journey variations through intuitive visual guides and workflows. Instantly activate approved experiences.
  • Performance-Optimized Delivery: Use native browser capabilities for on-device experimentation or pre-fetch and cache variations to boost speed and performance.
  • Enterprise-Ready Governance: Manage role-based access and permissions with enterprise-grade governance tools, enabling secure and scalable deployment.
  • Enhanced User Interface: Accelerate delivery with a modern, React Spectrum–based UI designed for speed, efficiency, and ease of use.
  • AI-Powered Support:
    • AI Assistant – Product Knowledge: Get real-time answers, best practices, and use case ideas to maximize personalization effectiveness.
    • AI Assistant – Content Accelerator: Receive AI-generated suggestions for campaign copy and imagery to streamline content creation.

Personalization

Smarter Targeting with Machine Learning and Marketer-Defined Rules

Combine advanced machine learning with customizable rules to deliver the most effective content for every visitor—ensuring greater relevance and impact across all touchpoints.

  • Experience Definition: Manually tailor web or mobile experiences for specific audience segments.
  • Visitor Assessment: Automatically evaluate visitors in real time to match them with the most relevant experiences based on predefined criteria.
  • Cross-Audience Interactions: Create dynamic experiences for multiple audience segments within a single activity—for example, displaying personalized hero images on product pages.
  • Offer Pairing: Deliver personalized combinations of offers based on individual profiles—ideal for the discovery phase of testing and early-stage personalization strategies.

Auto-target

AI-Driven Personalization at Scale

Leverage advanced machine learning to deliver the most relevant experience—or combination of experiences—for each visitor. Adobe Target’s algorithm intelligently selects from multiple high-performing, marketer-defined variations based on user profile, real-time behavior, and insights from similar past visitors. The result: personalized content that’s optimized to drive conversions.

Optimized recommendations

Personalized Recommendations That Drive Discovery

Automatically showcase personalized product selections, content, navigation options, and more using configurable recommendation algorithms. By analyzing past browsing and purchase behavior, Adobe Target helps surface relevant—yet previously undiscovered—items to each customer, increasing engagement and driving conversions.

IDC found that Adobe Target delivered a 651% ROI over three years.

A/B/n testing

Test one or multiple variations of an experience to determine which performs best with specific audience segments.

  • Intuitive workflow. Use a three-step guided workflow to set up and launch tests that identify what resonates most with customers.
  • Single delivery platform. Get support for mobile SDK (software development kit), server-side API, and a Node.js environment to test on the client side of your site, server side, or both.

Multivariate testing

Test elements within a web or mobile experience to find the combination that performs the best, as well as how each element performs with a specific audience.

  • Traffic estimator. Determine the traffic required for a successful test with page statistics and the number of experiences being tested.
  • Element contribution report. Get specific insights on which tested elements have the greatest impact.
  • Full factorial testing. Optimize content using full factorial multivariate testing to examine all possible combinations of elements with equal probability.

Multi-armed bandit testing

Automatically deliver the best-performing variations to a test population or audience segment during an experiment to improve conversion and accelerate completion.

  • Auto-allocate. Automatically direct traffic away from underperforming experiences and identify differences between winning experiences quickly.
  • Traffic allocations. View traffic lift over a short period of time — such as during Black Friday — with updates every two hours.

Driving results for some of the world’s biggest companies.

 

Increased conversion by 38%.

 

Increased engagement by +125% with +76 new segments.

 

Drove +182k more clicks per year and +150k fewer bounces per year.

Making the case for digital transformation

When Keith Bartig, Director of Precision Marketing Technologies, first joined The Coca-Cola Company, he was impressed by the company’s reputation for putting people first: from customers to employees to communities around the globe. But it was Bartig’s first position working alongside social media teams that opened his eyes to the unique reach of Coca-Cola.

Personalizing for billions of customers

Coke is one of the most iconic drinks around the world, but The Coca-Cola Company is more than just sparkling sodas. From water, sports drinks, coffee, and tea, to dairy, juice, and alcoholic beverages, the company has a diverse portfolio with more than 250 brands. That’s why Coca-Cola now refers to itself as a “total beverage company”.

Having such a large number of brands has changed how Coca-Cola engages with consumers. Rather than selling the same brands to everyone, the company wanted to focus on selling consumers the drinks that they want the most. That means giving them deals on their favorites and also introducing them to new brands or flavors that they may want to try.

 

“The ability to bring all of our consumer information together — in real time — is critical to helping us engage with billions of Coca-Cola consumers around the globe.”

— Keith Bartig , Director of Precision Marketing Technologies, The Coca-Cola Company

Emdeon

Adobe Experience Manager Assets

A user-friendly system to manage millions of assets.

Easily ingest, organize, and classify millions of assets so you can quickly find what you need for your projects or campaigns.

  • Upload any type of asset — including 3D and other rich media — using bulk ingestion or by connecting to storage applications.
  • Eliminate manual organization processes with features that automatically group and classify assets and their metadata so they’re easy to find.
  • Use advanced search and filtering functionality to find assets quickly in the DAM, across multiple instances of Experience Manager Assets, or wherever your team works.
  • If you can’t find what you need in your asset library, create new assets using Adobe Firefly generative AI to generate assets that fit your queries.
Adobe Experience Manager Forms Chamerlin Edmonds

Adobe Experience Forms + Adobe Acrobat Sign

Pair these applications to support complex e-signature requirements while maintaining security and compliance — and get customers across the finish line faster.

 

 

Adobe Experience Manager Forms Chamerlin Edmonds

Have questions? We have answers.

What is A/B Testing?
A/B testing, also known as split testing, is a method of comparing two versions of a webpage, app, or other digital asset to see which performs better based on user behavior. It involves randomly showing different versions to different segments of your audience and analyzing which version achieves better results for your chosen metric.
How does Adobe make AI-Driven Personalization?
You can rely on data science to analyse user behaviour, preferences, feedback and characteristics to predict behaviour and deliver unique, personalised experiences. This helps you to increase engagement and offer dynamic, one-to-one touchpoints with ease.
What is Adobe Sensei?

Adobe Sensei is Adobe’s artificial intelligence (AI) and machine learning (ML) technology platform. It powers a wide range of creative, document, and marketing tools across Adobe’s product suite, enhancing user experiences through automation, intelligence, and workflow optimization. Essentially, it helps users work smarter and faster by automating tasks, providing intelligent insights, and personalizing experiences.

What is A.I. and A/B/n targeting and multivariant targeting?
Traditional A/B testing typically involves comparing two versions of a variable to see which performs better. However, AI enables multivariate and A/B/n testing, where multiple variations of several elements can be tested simultaneously.
What is machine learning vs A.I.?
Artificial Intelligence (AI) is the broad concept of creating machines that can mimic human intelligence, while Machine Learning (ML) is a specific subset of AI that focuses on enabling machines to learn from data without explicit programming. In simpler terms, AI is the overall goal, and ML is a key method for achieving that goal.

The Adobe difference.

A global brand you can trust.

As a leader in digital experiences trusted by Fortune 500 companies and small businesses around the world, Adobe has invented globally renowned solutions from Acrobat to Creative Cloud that transform businesses.

The leader in digital documents.

Standardize your document experiences with the global digital documents leader. With Adobe, you get built-in security and accessibility controls, making content more secure and usable for all.

Powering business at scale, worldwide.

More than 320 billion PDFs were opened or created with Acrobat in the last 12 months, and more than 8 billion documents have been signed.

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