Adobe Target
Adobe Target enables enterprises to deliver AI-driven, individualized digital experiences at scale through robust A/B testing, multivariate testing, and automated personalization — all tightly integrated with Adobe's broader data and analytics ecosystem.
Last updated Jun 9, 2026 by ATDb automated enrichment
- Industry
- Personalization & Experimentation
- Business Model
- SaaS
- Target Market
- Enterprise
- Employee Count
- 10001+
- Funding
- Public Company (Parent: Adobe Inc.)
- Revenue Range
- Part of Adobe Experience Cloud, which contributes billions to Adobe's ~$19B+ annual revenue
- Stock Symbol
- ADBE
- Parent Company
- Adobe Experience Cloud
- API Available
- Yes
A top-tier enterprise personalization and A/B testing platform, deeply embedded in the Adobe Experience Cloud ecosystem and widely adopted by Fortune 500 companies.
Adobe Target is a leading enterprise-grade experimentation and personalization platform within the Adobe Experience Cloud suite. 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. Leveraging Adobe Sensei, Adobe's AI and machine learning framework, Target enables auto-personalization and predictive analytics to deliver the right experience to the right user at the right time. Adobe Target occupies a dominant position in the enterprise personalization and optimization market, competing with platforms such as Optimizely, VWO, and Dynamic Yield. Its deep integration with the broader Adobe Experience Cloud ecosystem — including Adobe Analytics, Adobe Audience Manager, Adobe Real-Time CDP, and Adobe Campaign — gives it a significant advantage for organizations already invested in Adobe's digital experience stack. This tight integration allows for rich audience segmentation, cross-channel data activation, and closed-loop analytics that standalone tools struggle to match. The platform is widely adopted by large enterprises across retail, financial services, media, travel, and technology verticals. Adobe Target supports sophisticated use cases including server-side and client-side testing, feature flagging, recommendations powered by behavioral data, and omnichannel personalization. Its scalability, compliance posture, and enterprise support model make it a go-to choice for Fortune 500 companies seeking to mature their digital optimization programs.
A/B Testing
Run controlled experiments to compare two or more experience variants and determine which drives better outcomes.
Multivariate Testing (MVT)
Test multiple elements on a page simultaneously to identify the best-performing combination of content.
Automated Personalization (AP)
Uses Adobe Sensei machine learning to automatically match the best content combinations to individual visitors based on behavioral data.
Experience Targeting (XT)
Deliver specific experiences or content to defined audiences based on rules and segmentation criteria.
Recommendations
AI-powered product and content recommendation engine that surfaces relevant items based on user behavior, preferences, and contextual signals.
Auto-Target
Machine learning-driven traffic allocation that serves the best-performing experience to each visitor based on their profile.
Feature Flagging
Server-side feature flag management enabling controlled rollouts and experimentation at the application layer.
Visual Experience Composer (VEC)
WYSIWYG editor allowing non-technical users to create and modify test experiences without coding.
Form-Based Experience Composer
Non-visual interface for creating experiences in email, IoT, and other non-browser environments.
Adobe Target On-Device Decisioning
Enables real-time, low-latency decisioning executed locally on the client or server without network calls.
- 2009Founded