Adobe Target Business Practitioner Expert study materials
Adobe Target Business Practitioner Expert study resources

Adobe Target Business Practitioner Expert flashcards

Adobe Target Business Practitioner Expert · Build recall with a focused review session.

32 cards. Read the term and the definition here. The deck at the top of this page is optional.

Primary goal
The single success metric chosen when an activity is created; it drives Auto-Allocate and Auto-Target and cannot be changed after activation.
Statistical power
The probability of detecting a true effect when one exists; 80% power is the common planning threshold and requires larger samples for smaller effects.
Minimum detectable effect
The smallest lift a test is designed to detect; smaller MDE values require substantially larger sample sizes per variant.
Multivariate test
An activity type that tests combinations of page elements (factorial design) to identify which elements and interactions drive the primary goal.
Experience Targeting
An activity type (XT) that delivers specific experiences to defined audiences based on rules such as geo, device, or custom parameters.
Holdout group
A control segment that receives no change, used to measure incremental lift and separate test impact from seasonality or other campaigns.
at.js
Adobe Target's current client-side JavaScript library; it replaces legacy mbox.js and supports on-device decisioning and response tokens.
Property token
A value (at_property) that isolates report data and activity visibility across teams or sites within a single Target organization.
Response tokens
Visitor attributes (such as geo or profile values) returned in the Target response for use by downstream tools; enabled in Admin.
On-device decisioning
A Web SDK capability that evaluates Target rules locally on the client, reducing latency and enabling offline or edge scenarios.
Approver role
A Target user role that can approve activities before they go live; Enterprise accounts can require approval as a governance control.
Registered host
A domain or hostname added in Admin > Hosts that is authorized to serve Target activities; unregistered hosts cannot deliver content.
Visual Experience Composer
The WYSIWYG editor (VEC) used to create and modify page experiences by editing the DOM directly within Target.
Form-Based Composer
An activity editor that lets practitioners define offers and mboxes precisely, required for non-HTML or server-side response scenarios.
QA mode link
A preview URL with at_qa_mode=true and an activity token that shows experiences without recording data in reports.
Activity priority
A numeric level (0–999, lower is higher priority) that determines which activity wins when multiple activities target the same mbox and audience.
Traffic allocation
The percentage of qualifying visitors assigned to each experience in an activity; allocations across experiences must sum to 100%.
Auto-Allocate
A Target activity type that uses a machine-learning bandit to shift traffic toward the best-performing experience while the test runs.
Auto-Target
A Target activity type that uses a machine-learning model to select the best experience for each visitor based on profile and behavior.
Lift formula
Lift = (experience conversion rate − control conversion rate) / control conversion rate × 100%, expressing relative improvement over control.
Revenue per visitor
RPV = total revenue divided by number of visitors; a common primary metric that combines conversion and average order value.
Average order value
AOV = total revenue divided by number of orders; useful as a secondary metric when conversion rate is the primary goal.
Two-proportion z-test
A hypothesis test comparing conversion rates of two experiences; z = (p1 − p2) / sqrt(p(1−p)(1/n1 + 1/n2)) using the pooled proportion.
Confidence interval
A range around an observed metric, p̂ ± z × sqrt(p̂(1−p̂)/n); for 95% confidence z = 1.96, indicating estimate precision.
Segment report
A report that breaks activity results down by audience dimension such as device, geo, or custom parameter to reveal heterogeneous effects.
Sample ratio mismatch
A significant deviation between planned and observed traffic split across experiences, often signaling a tracking or implementation defect.
Target Trace
A debugging tool that shows mbox requests, audience evaluation, and offer decisions for a visitor to diagnose why an activity did not appear.
Flicker mitigation
Techniques such as pre-hide snippets or async at.js loading that prevent the original page content from flashing before personalized content renders.
Collision handling
Target's automatic detection of overlapping activities on the same mbox; priority levels decide which activity delivers to a visitor.
Recommendations criteria
Algorithms such as most viewed, recently viewed, top sellers, or custom criteria that determine which catalog entities are recommended to a visitor.
Catalog schema
The defined set of entity attributes (id, name, category, message) and behavior attributes (views, purchases) that feed Recommendations algorithms.
Backup recommendation
A fallback set of items shown when the primary algorithm lacks sufficient data, preventing empty recommendation slots on the page.