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Brief
Adobe Target

Adobe Target

Personalization & ExperimentationProduct· part of Adobe Experience Cloudbusiness.adobe.com

Adobe Target enables enterprises to deliver AI-driven, personalized digital experiences and run rigorous experimentation programs across all channels, leveraging deep integration with the Adobe Experience Cloud ecosystem.

Last updated Aug 10, 2026 by ATDb automated enrichment · Connections updated Aug 24, 2026

Founded
2009
HQ
San Jose, California, United States
Connections
47

At a glance

Employees
10001+
Funding
Public Company (Parent: Adobe Inc.)
Revenue
Part of Adobe Experience Cloud segment (Adobe Inc. total revenue ~$19B+ annually)
Stock
ADBE
38integrations8competitors1corporate family

About

Leader in enterprise personalization and A/B testing, consistently recognized in top analyst quadrants alongside Optimizely and Dynamic Yield

Adobe Target is Adobe Inc.'s enterprise-grade experimentation and personalization platform, originally launched in 2009 following Adobe's acquisition of Omniture. It empowers marketers, product teams, and digital experience professionals to run A/B tests, multivariate tests, and automated personalization campaigns across websites, mobile apps, single-page applications, and connected devices. Powered by Adobe Sensei, Adobe's AI and machine learning framework, Target enables automated traffic allocation, predictive audience segmentation, and real-time content decisioning at scale. As a core component of the Adobe Experience Cloud, Adobe Target integrates deeply with other Adobe solutions including Adobe Analytics, Adobe Audience Manager, Adobe Experience Platform, and Adobe Campaign. This tight ecosystem integration gives enterprise customers a unified view of customer data and enables sophisticated cross-channel personalization strategies. Target supports both client-side and server-side implementation, offering flexibility for complex technical architectures and headless deployments. Adobe Target holds a strong position in the enterprise personalization and experimentation market, consistently recognized as a leader in analyst reports alongside competitors such as Optimizely, VWO, and Dynamic Yield. Its primary customer base consists of large enterprises across retail, financial services, media, travel, and technology sectors that require robust, scalable, and compliant personalization capabilities. As part of Adobe Inc., a publicly traded company (NASDAQ: ADBE), Target benefits from significant R&D investment and a global sales and support infrastructure.

Business model

SaaS

Target market

Enterprise

What they offer

  • A/B Testing

    Run controlled experiments to compare two or more variations of a page or experience to determine which performs best.

  • Multivariate Testing (MVT)

    Test multiple elements on a page simultaneously to identify the best-performing combination of content variations.

  • Automated Personalization (AP)

    Uses machine learning to automatically match the best content variation to each visitor based on their profile and behavior.

  • Experience Targeting (XT)

    Deliver specific experiences or content to defined audiences based on rules set by marketers.

  • Recommendations

    AI-powered product and content recommendation engine that automatically suggests relevant items to users based on behavior and preferences.

  • Auto-Allocate

    Automatically directs more traffic to winning variations during a test to maximize conversions while the experiment is still running.

  • Auto-Target

    Uses advanced machine learning to serve the most tailored experience to each visitor to maximize conversion.

  • On-Device Decisioning

    Enables real-time personalization decisions to be executed locally on the client device with zero latency, without a network call.

  • Visual Experience Composer (VEC)

    WYSIWYG editor that allows marketers to create and test personalized experiences without requiring developer assistance.

  • Adobe Sensei AI Integration

    Leverages Adobe's AI/ML framework for predictive analytics, automated segmentation, and intelligent content delivery.

Key features

AI-powered automated personalization via Adobe SenseiA/B, multivariate, and experience targeting testingOn-device decisioning for zero-latency personalizationVisual Experience Composer (no-code editing)AI-driven product and content recommendationsDeep integration with Adobe Experience CloudServer-side and client-side implementation supportReal-time audience segmentation and targetingAuto-allocate and auto-target traffic optimizationSupport for web, mobile apps, SPAs, and IoT

Use cases

E-commerce product page personalization and recommendationsHomepage hero banner A/B testingCheckout funnel optimizationMobile app experience personalizationLoyalty program offer targetingMedia and content recommendation enginesFinancial services offer personalizationTravel and hospitality dynamic pricing displayLead generation form optimizationCross-channel customer journey personalization

Customer segments

Enterprise retail and e-commerceFinancial services and bankingMedia and entertainmentTravel and hospitalityTechnology companiesHealthcareTelecommunications

Tech & specs

Technology stack

Adobe Sensei (AI/ML)Adobe Experience Platform (AEP)JavaScript (at.js SDK)Node.js SDKJava SDKPython SDK.NET SDKREST APIsGraphQLMobile SDKs (iOS/Android via Adobe Experience Platform Mobile SDK)

Security & compliance

GDPRCCPASOC 2ISO 27001HIPAA (with BAA)FedRAMP (via Adobe Experience Cloud)Privacy Shield

Deployment

Cloud

API

Yes

Explore further

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