Adobe Target Architect Master key terms

A named location in a page or app where Adobe Target delivers content and records a visit. Offers are assigned to mboxes, and each request returns content plus tracking data.

Adobe Target's JavaScript library that renders offers in the browser, manages visitor identity, and sends mbox requests. It replaced mbox.js and supports single-page apps through its event hooks.

Adobe's unified client-side library (formerly Alloy) that sends data to Experience Platform edge services. It consolidates Target, Analytics, and Audience Manager calls into one request stream.

A Target request fired automatically on every page load, used to retrieve offers for page-level activities such as Auto-Allocate tests or Visual Experience Composer changes that apply sitewide.

The content Target shows when a visitor qualifies for an experience, such as HTML, an image, JSON, or a redirect. Offers are stored in the offer library and referenced by activities.

The specific content variation a visitor receives inside an activity, for example a modified headline or alternate layout. Each activity contains one or more experiences mapped to audiences.

A configured test or personalization campaign in Target, such as A/B, Multivariate, Experience Targeting, or Recommendations, with its own goals, audiences, and traffic allocation.

Target's point-and-click editor that loads a page in an iframe so authors can change content and layout visually. It generates the offers and selectors needed to serve the experience.

A non-visual Target authoring interface where offers are built from raw HTML or JSON and mapped to mboxes. It suits apps, emails, and pages where the visual editor cannot run.

An activity that splits traffic between two or more experiences and compares a success metric to determine which performs better with statistical confidence.

An activity that tests combinations of changes across multiple page elements at once, revealing which elements and values drive results and how they interact.

An activity that delivers different experiences to defined audiences based on rules rather than random assignment. It is used for geo, segment, or behavior-based personalization.

A Target activity that uses machine learning to serve the best offer combination to each visitor, exploring combinations automatically and optimizing toward the chosen success metric.

A Target capability that uses machine learning to pick the best experience for each visitor from the experiences defined in an A/B activity, blending testing and personalization.

A Target feature that shifts traffic toward the best-performing experience during a test, reducing the cost of sending visitors to underperforming variants.

A Target activity type that suggests products, content, or articles using algorithms such as recently viewed, most popular, or people who bought this also bought.

In Target Recommendations, the rule that determines which items to recommend, combining an algorithm with filters, item attributes, and fallback logic.

A reusable set of visitor rules in Target that determines who qualifies for an activity or experience, built from attributes, behaviors, or imported segments.

A stored characteristic of a visitor in Target, such as geography, loyalty tier, or a custom variable, used for targeting and reporting. Values persist across sessions.

A key-value pair passed with a Target request that describes the current context, such as page category or cart value. It can drive targeting and feed reporting.

A group of visitors defined in Adobe Analytics or Audience Manager and shared into Target for personalization. Segments extend targeting beyond Target's own profile data.

Adobe's suite of integrated marketing products including Target, Analytics, Audience Manager, Campaign, and Experience Platform, linked by a shared visitor identity and admin console.

Adobe's customer data platform that unifies profiles and audiences from many sources. Audiences built there can be activated in Target through edge integration.

Adobe's globally distributed data collection layer that receives Web SDK calls and routes them to services such as Target, Analytics, and Experience Platform in a single round trip.

Adobe's data management platform for building audience segments from first- and third-party data. Its segments can be shared with Target for personalization.

Adobe's web analytics product used as a Target reporting source. Integrating the two lets teams analyze Target activity performance inside Analytics reports and segments.

The integration that lets Target activities be measured with Adobe Analytics metrics and dimensions, providing a single source of truth for reporting and attribution.

The goal that determines whether an activity works, such as conversion rate, revenue per visitor, or a custom event. Target uses it to rank experiences and report lift.

The confidence that an observed difference between experiences is not due to chance. Target reports it so teams know when a test result can be trusted.

A placeholder in a Target offer that Target replaces with a value at serve time, such as a visitor attribute or campaign parameter, enabling dynamic content.

The brief flash of default page content before a Target offer renders. It is mitigated by hiding the page body until the request returns, or by server-side delivery.

Calling Target's delivery API from a backend rather than the browser, which reduces flicker and client-side exposure and suits apps, kiosks, and offline-capable channels.

Target's REST endpoint for requesting offers and reporting events from any client, including servers and mobile apps. It returns experiences in JSON for the caller to render.

Target's REST interface for managing activities, offers, audiences, and reports programmatically. It supports automation, bulk changes, and integration with external systems.

A Target construct that groups activities and workspaces by site, brand, or channel. It scopes permissions and reporting so teams do not interfere with each other.

An administrative container in Target that limits which activities, offers, and audiences a team can see and edit, supporting governance across large organizations.

A role-based access control model in Target that assigns users to roles and properties, controlling who can author, approve, or view activities and reports.

A Target feature that previews activities with a stable, forced experience for a specific visitor, letting testers validate content without polluting test data.

The practice of capturing and honoring visitor privacy choices before collecting or using data for targeting, so personalization complies with regulations and company policy.

The policies and controls that define what visitor data may be collected, stored, and used in Target, including retention, access, and cross-product data-sharing rules.