G - L

The primary actions you want visitors or users to complete on your website, SaaS app, or mobile app. Examples include:

• completed a purchase
• added to cart
• downloaded or viewed content
• completed a form

Global goals aren’t limited to online actions. You can also include offline goal metrics because global goals are created from segments, which also consider any offline data you’ve sent to Marketing Cloud Personalization. After a Global goal has been created, you can view how any campaign is performing against that goal. Applying global goals to a campaign gives you a broader view of the effects of a campaign beyond the immediate metrics.

The aggregation of all of the known information about a customer or an account. Identity information is gathered through on-line and off-line implicit and explicit data, and stored within a Unified Customer Profile in Marketing Cloud Personalization. The same person or account can be identified in a variety of ways by a variety of different systems. Marketing Cloud Personalization holds multiple identities in the same profile, matching each against a hierarchy of identities, then merging these different profiles together using customizable prioritization logic.

Information that Marketing Cloud Personalization collects while a visitor moves around a site. Examples include:

• pages viewed
• time spent on a page

A synonym for contextual data.

The number of times a campaign was seen. The total can exceed the number of unique visitors because a visitor can see a campaign more than one time.

See in-store.

Refers to kiosks, POS systems, clienteling, and mobile apps that help unify an in-store experience with a digital experience. Marketing Cloud Personalization can pass data (including messages, offers, and recommendations) to these systems to help personalize a customer's in-store or in-branch experience. Sometimes referred to as in-branch.

Available on the Reports Dashboard, which shows the influence of web recommendations and email campaigns on revenue, orders, visits, AOV, and conversions.

A core algorithm that drives a recommendation recipe. Analogous to an engine that determines which items are returned for the recipe. To return the most effective recommendations for visitors, you can use one or multiple ingredients in a recipe.

The Marketing Cloud Personalization server identifier. To find the instance, navigate to Gears from the main navigation. The beginning of the Gears URL shows the instance. For example, if the Gears URL is https://demo.us-1.everage.com/, then the instance is us-1.

A call to or from the Marketing Cloud Personalization to trigger activity, send data, or retrieve data. Interactions must be used between the beginning and ending dates of your subscription.

Provides an overview of content views and product purchases for top performing products, blogs, or articles, as well as product brands, styles, and categories.

An element type used to deploy product or content recommendations to any web page. Rather than designing your own dynamic content and styling the message yourself, you can insert an Item Block element to easily add a pre-formatted layout to your message. It’s a container for content - similar to how a picture frame is a container for a photograph or piece of art.

A code snippet from Marketing Cloud Personalization that you add to a site. The beacon places a first-party cookie on each visitor’s browser and sends data for that visitor back to Interaction Studio. The data sent back includes pages visited, links clicked, time on the site, number of visits, geolocation, referral source, as well as other custom data you want collected.

The number of days a recipe looks back at a visitor’s history. When deciding how far you’d like to look back, think about what best supports your product, content catalog, and business goals. To look at today only, enter a value of 0. Specify up to a maximum number of n days (the maximum allowed in the Einstein Recipe tool).