S - Z

A Google Chrome browser extension used to add personalization features to a website. With developer-created templates, you can create personalization campaigns targeted to specific groups, individual users, or events.

Real-time grouping of accounts or individuals based on a defined set of criteria. Segments are used in many ways, including analytics, campaign goals, and even to set parameters for rule-based campaigns. Segment updates happen in real time, so any membership changes occur immediately, even during the same visit. Segments can be user-based or account-based.

Type de segment	Description
segments utilisateur	Représenter les personnes qui visitent le site ou qui se connectent à l'application.
segments de compte	Demander la détection B2B dans un site. Ce sont des segments d'entreprises et sont généralement utilisés pour cibler les visiteurs d'une organisation particulière.

Use segments declared as filters to filter reports. Apply segments declared as goals to campaigns for measuring lift. For the sake of reporting, goal segments are also considered filter segments.

A campaign that integrates Marketing Cloud Personalization testing and personalization at the server-to-server level.

Pour ces campagnes, votre serveur appelle l'API de campagne côté serveur Marketing Cloud Personalization et fournit des informations sur le visiteur (généralement l'ID utilisateur). Sur la base de ces informations, Marketing Cloud Personalization gère la logique de campagne et renvoie les recommandations et les autres données de campagne (sous le format JSON) qui s'appliquent à ce visiteur. Votre serveur est responsable de :

• Gestion du JSON
• construction du message pour montrer au visiteur
• Appel des API de suivi des actions appropriées pour suivre les impressions et les clics des campagnes

Marketing Cloud Personalization gère la logique de campagne, mais un développeur doit écrire le code dans :

• appeler les API appropriées
• Fournir à Marketing Cloud Personalization les informations nécessaires sur le visiteur qui visualise la campagne

An algorithm that returns recommendation results for products or content that are similar in nature to:

• l'élément qu'un visiteur visualise, ou
• l'article qu'un visiteur a placé dans le panier d'achat

The Similar Items ingredient is often used on a product display page to help visitors discover more products. It typically appears at the bottom of the page with a label like "Other Similar Products".

Marketing Cloud Personalization’s sitemap framework is a configuration-driven integration layer that is deployed by, and executes within, the Marketing Cloud Personalization beacon. A sitemap is developed to integrate with a specific site using APIs that map key business objects into Marketing Cloud Personalization through event capture. To help understand user interests against the catalog, the sitemap can include page type information and catalog items. It can also include:

• éléments tels que les produits, le contenu des articles et les catégories
• dimensions personnalisées, qui sont des informations catégorielles sur les éléments avec des attributs personnalisés

Situational data includes such information as a visitor's referring site, email or ad campaign source, IP address, geo-location, device type, and operating system.

A merchandising algorithm that analyzes products that are bought together in the same cart and returns recommendations based on explicitly defined categories. With this ingredient, Marketing Cloud Personalization recommends paired items that are commonly bought together. For example, if the visitor is viewing men’s dress shirts, this ingredient can show items in the “tie” category.

An algorithm that uses the expiration date captured in the catalog. Use this ingredient to prioritize items that are about to expire.

A measure of how certain you can be with the reported lift. A metric is determined to be statistically significant based on a number of factors built into Marketing Cloud Personalization algorithms.

Add to a rule to specify where to display the campaign or message. For example, you can set a rule so that the campaign appears only on the desired pages and nowhere else.

Provides insight into the types of browsers and devices that visitors are using when they view the site. Informs you about how visitors are interacting with the site so that you can set up campaigns accordingly. For example, knowing whether visitors are accessing your site from a mobile device helps you determine whether to develop campaigns for mobile browsers.

Determines the point at which a visitor is considered affine for the booster. The slider has five positions with the first position being the lowest weighting and fifth, the highest. Move the slider to specify how much a visitor must interact with the selected affinity to be considered affine and boost products from that affinity. After the visitor meets that threshold, Marketing Cloud Personalization boosts products within that affinity.

Indicates where a visitor originated from before they came to your site. Examples include social media, search based on search terms entered, and other types of websites.

A process in which a recipe:

• examine toutes les données implicites et explicites que Marketing Cloud Personalization collecte en permanence sur chaque visiteur
• découvre les différents points de données, et
• compile les ingrédients (algorithmes) qui alimentent la recommandation.

An algorithm that recommends products or content based on what’s trending on the site right now. Define this ingredient to display items or content based on the highest number of purchases or downloads, the most revenue generated, the most views, or the most time spent viewing.

A visual representation of all the data about a single visitor, including preferences and affinities. Roll this profile up to the account level to view the relationships among visitor behaviors associated with the same account.

The total number of tracked individuals who have seen a campaign.

A visitor to a client website.

Starts from the first page view and ends after the user reaches 30 minutes of inactivity on the site. For example, suppose a user visits the homepage for the first time, leaves, and then returns to the site 29 minutes later. The page views are still considered to be part of the first visit. It’s important to remember how visits are calculated when testing campaign targeting rules based on visit count.

Represents an individual user or visitor to your site. In reports, the visitors statistic shows the number of unique daily visitors and the number of visits during the selected timeframe. An indicator shows whether traffic is up or down, where visitors are coming from, and whether they’re known or anonymous users.

Counts all visitors’ sessions on the site, regardless of how many times the same visitor has been to the site.

An ingredient setting that determines the order in which an item is displayed in a recipe. Every item returned by an ingredient has a weight. Items with the highest weight are displayed first by the recipe. To control how an ingredient is weighted against other ingredients in the same recipe, increase or decrease the weight and importance of items returned by the ingredient. Marketing Cloud Personalization then multiplies the scores for the items returned for the ingredient by the assigned weight, and displays the top weighted items. Because the recipe attempts to return items for the ingredient with the highest weight first, assign the highest weight to your highest priority ingredient.