Synerise Glossary

In the glossary, you can find a database of the terms you may encounter when working with Synerise.

Settings

AES

AES (Advanced Encryption Standard) is a type of encryption key that secures data. AES is a symmetric encryption algorithm where the same key is used for both encryption and decryption, making it efficient for fast and bulk data encryption.

Synerise supports only AES-256 keys.

Learn more in the documentation

Related components: Automation Hub, Settings

See also: Data exchange encryption (Automation Hub, Settings): Enhances the protection of data within transfersData exchange encryption, Key Encryption Key (KEK) (Automation Hub, Settings): A key needed to encrypt and decrypt the Data Encryption Key (DEK)Key Encryption Key (KEK), Data Encryption Key (DEK) (Automation Hub, Settings): Key used to encrypt and decrypt dataData Encryption Key (DEK)

AI engine

The AI engine in Synerise powers features such as predictions, recommendations, AI-driven search, Automation’s time optimizer, and dynamic content A/B/X testing by utilizing proprietary machine learning algorithms. It analyzes data from profile events and attributes to enable intelligent decision-making and personalized customer experiences. Users must provide an item feed—the essential data source for AI search, predictions, recommendations, and time optimizer models. Additionally, depending on the features being used, users need to supply further data such as historical events like transactions. Detailed requirements for each feature are outlined in the documentation to ensure proper configuration and optimal engine training.

Learn more in the documentation

Related components: AI Hub, Experience Hub, AI Hub, Settings, Automation Hub

See also: AI Search (AI Hub): Search engine feature enhanced by artificial intelligence (AI) engine.AI Search, AI Recommendations (AI Hub): AI Recommendations are automated, personalized product suggestions generated by Synerise’s AI engine to boost user engagement and conversion across multiple channels.AI Recommendations, Prediction (score) (AI Hub): An AI-powered estimate of a future occurrencePrediction (score), Event (Data Modeling Hub, AI Hub, Decision Hub, Automation Hub, Behavioral Data Hub, AI Hub, Experience Hub, Settings): An event is a profile or system activity tracked in Synerise, such as website visits, product interactions, or message sending. Event, Attribute (Data Modeling Hub, Behavioral Data Hub, Decision Hub, Experience Hub, AI Hub): Attributes in Synerise are data points describing profiles, products, events, or other entities.Attribute, Item feed (Settings, AI Hub, Experience Hub, AI Hub): A repository of product information generated as a result of AI engine configuration.Item feed

API key

An API key in Synerise is a unique identifier provided to external applications or integrations, allowing secure communication with Synerise RESTful APIs. It authenticates and authorizes requests to access data or perform operations on the platform.

Learn more in the documentation

Related components: Settings

Catalog

A catalog in Synerise is a place where you can store different types of business data. This data helps you set up and use many features in the platform. You can upload files in formats like CSV, XML, JSON, or JSON Lines. You can add files to a catalog by using the Automation Hub, simple upload options, or through API methods.

Catalogs are useful for many business tasks. You can keep product feeds in them, such as item lists, product details (used for recommendation models), and extra information like prices and availability for different stores or sales channels. This information helps you create better recommendations, search results, and predictions.

You can also store data that adds more details to events or that you want to include in marketing messages and campaigns to make them more personal. Catalogs can also hold lists of stores, so you can run promotions that target only certain stores.

Remember, catalogs are not for storing personal data about customers. That kind of data is kept in Behavioral Data Hub.

Learn more in the documentation

Related components: Data Modeling Hub, Settings, AI Hub, Experience Hub

See also: Item feed (Settings, AI Hub, Experience Hub, AI Hub): A repository of product information generated as a result of AI engine configuration.Item feed, Event enrichment (Data Modeling Hub): Process of automatically adding data from a catalog to recorded events in the Synerise platform.Event enrichment, Promotions (AI Hub): A feature that enables personalized discounts and special offers to be assigned and applied to profiles based on predefined rules and conditions.Promotions, AI Recommendations (AI Hub): AI Recommendations are automated, personalized product suggestions generated by Synerise’s AI engine to boost user engagement and conversion across multiple channels.AI Recommendations, AI Search (AI Hub): Search engine feature enhanced by artificial intelligence (AI) engine.AI Search, Prediction (score) (AI Hub): An AI-powered estimate of a future occurrencePrediction (score)

Custom events

Custom events are user-defined events not included in Synerise’s default event catalog. They enable tracking of unique and business-specific profile interactions important for analyses and personalization. You can name and define these events according to your needs to monitor particular profile behaviors or processes.

Learn more in the documentation

Related components: Data Modeling Hub, Settings

Data catalog

The source type of product information (stored in Data Management > Catalogs) used for creating an item feed during AI engine configuration. A data catalog holds full product information and serves as a standalone feed, whereas a metadata catalog includes only additional details like images and product descriptions.

Learn more in the documentation

Related components: Settings, AI Hub, Experience Hub, Data Modeling Hub

See also: Item feed (Settings, AI Hub, Experience Hub, AI Hub): A repository of product information generated as a result of AI engine configuration.Item feed, AI engine (AI Hub, Experience Hub, AI Hub, Settings, Automation Hub): AI engine comprises a set of advanced algorithms that analyze data, learn patterns, and automate complex processes. It powers features like recommendations, predictions, and AI search.AI engine, Catalog (Data Modeling Hub, Settings, AI Hub, Experience Hub): A data repository that allows you to upload CSV, JSON, and XML files, enabling you to store item feeds, supplemental feeds, and other business data to enrich events and personalize content of your marketing actions (messages and content displayed on your websites). Catalog

Data Encryption Key (DEK)

This key is used to encrypt and decrypt data. If you want to add an encryption key in Synerise, you must protect your DEK with a key encryption key (KEK). This key encryption key can be obtained while adding the encryption key in Synerise. The secured DEK can then be used as a key to decrypt or encrypt data coming into or going out of Synerise.

Learn more in the documentation

Related components: Automation Hub, Settings

See also: Data exchange encryption (Automation Hub, Settings): Enhances the protection of data within transfersData exchange encryption, Key Encryption Key (KEK) (Automation Hub, Settings): A key needed to encrypt and decrypt the Data Encryption Key (DEK)Key Encryption Key (KEK), AES (Automation Hub, Settings): A type of encryption key that secures dataAES

Data exchange encryption

Data exchange encryption in Synerise enhances data security during transfers by allowing businesses to encrypt outgoing data and decrypt incoming data using RSA or AES keys added to the workspace. Using these keys with the Encrypt Data and Decrypt Data nodes in data transformation rules, enables secure file exchanges with external sources.

Learn more in the documentation

Related components: Automation Hub, Settings

See also: RSA key (Automation Hub, Settings): A key used to secure dataRSA key, AES (Automation Hub, Settings): A type of encryption key that secures dataAES, Data Encryption Key (DEK) (Automation Hub, Settings): Key used to encrypt and decrypt dataData Encryption Key (DEK), Key Encryption Key (KEK) (Automation Hub, Settings): A key needed to encrypt and decrypt the Data Encryption Key (DEK)Key Encryption Key (KEK)

Event

An event represents an action performed either by a profile on a website, like visiting a page or adding a product to a shopping cart—or by a user interacting with customers, such as sending messages. Events are the basic input data in Synerise, powering various components, products, and features.

There are two main types of events in Synerise: default events, which are automatically collected through tracking codes, SDKs, automations, and more (such, page visits, message sending, transactions); and custom events, which users define and add manually or programmatically. Events are collected via website tracking code implementations, SDK event tracking, API tracking, and can also be imported from historical data to power more comprehensive analyses.

Learn more in the documentation

Related components: Data Modeling Hub, AI Hub, Decision Hub, Automation Hub, Behavioral Data Hub, AI Hub, Experience Hub, Settings

See also: Action/Event name (Data Modeling Hub, Decision Hub, Behavioral Data Hub, Automation Hub): The system name of an event, for example page.visitAction/Event name, Event parameters (Data Modeling Hub, Decision Hub): Additional pieces of information about an activity the event describes.Event parameters, Custom events (Data Modeling Hub, Settings): Events you created for integration purposes and that do not exist in the default event reference.Custom events, Event enrichment (Data Modeling Hub): Process of automatically adding data from a catalog to recorded events in the Synerise platform.Event enrichment, Event reference (Data Modeling Hub): List of events and their parameters that are generated automatically after implementing a tracking code.Event reference, Component (General terms): A component is a group of related products organized together and accessible from the left-hand menu on the Synerise platform dashboard (for example, AI Hub, Experience Hub, and so on).Component, User (General terms): A person who uses the Synerise platform.User, Tracking code (Settings): A JavaScript code that enables integrating your website with SyneriseTracking code, Mobile SDK (General terms): A toolkit that helps developers add Synerise’s marketing and analytics features to mobile apps for personalized user engagement. Mobile SDK, Import (Data Modeling Hub, Automation Hub): A process of bringing data to SyneriseImport

FCM token

An FCM token is a unique identifier generated by Firebase Cloud Messaging and sent to Synerise along with the UUID of a profile who has consented to receive web push notifications through the browser’s permission prompt. This token is required to send web push notifications to the user’s device. The presence and status of the FCM token are tracked in the snrs_has_web_push_devices attribute, which is set to true when a valid token is assigned to the profile.

Learn more in the documentation

Related components: Experience Hub, Settings

See also: Attribute (Data Modeling Hub, Behavioral Data Hub, Decision Hub, Experience Hub, AI Hub): Attributes in Synerise are data points describing profiles, products, events, or other entities.Attribute, FCM token migration (Settings, Experience Hub): Firebase Cloud Messaging tokens may require migration if multiple customers share a deviceFCM token migration, UUID (General terms): A random identifier of a resource, used widely in Synerise and other systemsUUID, Profile (General terms, Behavioral Data Hub): The data of a person or objectProfile, Marketing agreement (General terms, Experience Hub): A profile attribute which contains a status of marketing agreement. Marketing agreement

FCM token migration

Token migration is a process in which the assignment of a FCM token is transferred from one profile to another, along with associated changes in web push marketing consent. This migration occurs when a profile context changes in the browser, such as when a profile logs out and a new profile logs in, causing the FCM token to be reassigned to the new profile or when customer profiles are merged.

Learn more in the documentation

Related components: Settings, Experience Hub

See also: FCM token (Experience Hub, Settings): A unique identifier that enables mobile and web applications to receive messages through Firebase Cloud Messaging (FCM).FCM token, Marketing agreement (General terms, Experience Hub): A profile attribute which contains a status of marketing agreement. Marketing agreement, Profile (General terms, Behavioral Data Hub): The data of a person or objectProfile

Filterable attributes

Filterable attributes are qualities of items that help you narrow down or widen the results in AI recommendations and AI search. You can choose to include items with certain attribute values to see only those that match, or exclude items with certain values to hide them from the results. Using these attributes makes it easier to find the most relevant items in search and recommendations. You can select filterable attributes in the settings of a search index and in the settings of an item feed.

Learn more in the documentation

Related components: AI Hub, Settings

See also: Item (General terms): A single product defined in an item feedItem, AI Recommendations (AI Hub): AI Recommendations are automated, personalized product suggestions generated by Synerise’s AI engine to boost user engagement and conversion across multiple channels.AI Recommendations, AI Search (AI Hub): Search engine feature enhanced by artificial intelligence (AI) engine.AI Search, Attribute (Data Modeling Hub, Behavioral Data Hub, Decision Hub, Experience Hub, AI Hub): Attributes in Synerise are data points describing profiles, products, events, or other entities.Attribute, Item feed (Settings, AI Hub, Experience Hub, AI Hub): A repository of product information generated as a result of AI engine configuration.Item feed, Search index (AI Hub): A configured data structure that defines how items are indexed, searched, and ranked in AI Search.Search index

Global Control Group

Global Control Group is a group of profiles which can be excluded from the audience of the message. You can set the global control group to be enabled by default for any campaign type sent from Synerise. You can enable or disable global control group separately for Experience Hub (in which you manually send campaigns) and Automation Hub.

Learn more in the documentation

Related components: Experience Hub, Automation Hub, Settings

Item feed

Creating an item feed in Synerise involves uploading product information into a catalog. Alternatively, if you have a Google Merchant feed, you can configure Synerise to pull data directly from it when setting up the item feed. Besides the main item feed, there are supplementary types of item feeds that are not standalone. These include:

Metadata catalog: Contains metadata such as images used for recommendations based on section pages and attribute models.
Supplemental catalog: Contains availability and price information about items per store or sales channel.

Learn more in the documentation

Related components: Settings, AI Hub, Experience Hub, AI Hub

See also: AI engine (AI Hub, Experience Hub, AI Hub, Settings, Automation Hub): AI engine comprises a set of advanced algorithms that analyze data, learn patterns, and automate complex processes. It powers features like recommendations, predictions, and AI search.AI engine, Catalog (Data Modeling Hub, Settings, AI Hub, Experience Hub): A data repository that allows you to upload CSV, JSON, and XML files, enabling you to store item feeds, supplemental feeds, and other business data to enrich events and personalize content of your marketing actions (messages and content displayed on your websites). Catalog, Data catalog (Settings, AI Hub, Experience Hub, Data Modeling Hub): The source type of product information (stored in Data Management > Catalogs) used for creating an item feed during AI engine configuration.Data catalog, AI Recommendations (AI Hub): AI Recommendations are automated, personalized product suggestions generated by Synerise’s AI engine to boost user engagement and conversion across multiple channels.AI Recommendations, AI Search (AI Hub): Search engine feature enhanced by artificial intelligence (AI) engine.AI Search, Prediction (score) (AI Hub): An AI-powered estimate of a future occurrencePrediction (score)

JWT

(JSON Web Token) A compact, URL-safe token format used in Synerise API as a one method for authentication. The JWT is generated by making a request to an authorization endpoint. It is then used to authenticate requests to other endpoints. Make sure that the token you’re using is generated for a consumer with access to the endpoint you’re trying to use.

Learn more in the documentation

Related components: Settings

Key Encryption Key (KEK)

This is an asymmetric key used to encrypt and decrypt the Data Encryption Key (DEK). It is used to protect the DEK itself, ensuring that it remains secure and accessible only to authorized users. The public part of the key can be retrieved in Settings > Data exchange encryption and it’s used only for the process of adding the AES key to Synerise.

Learn more in the documentation

Related components: Automation Hub, Settings

See also: AES (Automation Hub, Settings): A type of encryption key that secures dataAES, Data Encryption Key (DEK) (Automation Hub, Settings): Key used to encrypt and decrypt dataData Encryption Key (DEK), RSA key (Automation Hub, Settings): A key used to secure dataRSA key

Non-unique emails

A configuration in which the custom ID replaces email as the unique identifier of a profile. When this is enabled, the email attribute of a profile is no longer considered an identifier and is only used for communication purposes.

Learn more in the documentation

Related components: General terms, Settings, Behavioral Data Hub

See also: Profile (General terms, Behavioral Data Hub): The data of a person or objectProfile, Attribute (Data Modeling Hub, Behavioral Data Hub, Decision Hub, Experience Hub, AI Hub): Attributes in Synerise are data points describing profiles, products, events, or other entities.Attribute, Profile identifiers (General terms, Behavioral Data Hub): ID, UUID, custom ID, email, and phone number of a profile.Profile identifiers

RSA key

An RSA key refers to a public-key cryptosystem used for secure data transmission and digital signatures. This system employs two keys - a public key and a private key - to encrypt and decrypt data transferred over the internet, ensuring confidentiality and data integrity.

Learn more in the documentation

Related components: Automation Hub, Settings

See also: AES (Automation Hub, Settings): A type of encryption key that secures dataAES, Data Encryption Key (DEK) (Automation Hub, Settings): Key used to encrypt and decrypt dataData Encryption Key (DEK), Key Encryption Key (KEK) (Automation Hub, Settings): A key needed to encrypt and decrypt the Data Encryption Key (DEK)Key Encryption Key (KEK)

Settings

Settings is the component where you manage most of your workspace settings, such as user permissions and roles, AI engine configuration, a Global Control Group, the timezone, integrations with third-party services, and more.

Learn more in the documentation

Related components: Settings

See also: Component (General terms): A component is a group of related products organized together and accessible from the left-hand menu on the Synerise platform dashboard (for example, AI Hub, Experience Hub, and so on).Component, Tracking code (Settings): A JavaScript code that enables integrating your website with SyneriseTracking code

Tracking code

The tracking code is a JavaScript code fragment in your website which enables the Synerise Web SDK once the site is loaded. This lets you track visitor activity and collect data in Synerise.

Learn more in the documentation

Related components: Settings

Workspace

Your “office” in Synerise. Each workspace has its own database of profiles, events, analyses, communication campaigns, and so on, which is not accessible to other workspaces unless you copy the data. Users of a workspace may have different access levels, depending on their roles and permissions. A workspace is often the representation of one business and accessible only to employees of that business, but large companies may create multiple workspaces (for example, different brands or country branches) collected into organizations.

Learn more in the documentation

Related components: General terms, Settings

See also: User (General terms): A person who uses the Synerise platform.User, Profile (General terms, Behavioral Data Hub): The data of a person or objectProfile, Event (Data Modeling Hub, AI Hub, Decision Hub, Automation Hub, Behavioral Data Hub, AI Hub, Experience Hub, Settings): An event is a profile or system activity tracked in Synerise, such as website visits, product interactions, or message sending. Event, Tracking code (Settings): A JavaScript code that enables integrating your website with SyneriseTracking code

Automation Hub

Action/Event name

In an event definition, the event name uniquely identifies the type of event and is stored in the action parameter. For example, a page.visit event has its action parameter set to page.visit. This action value serves as the unique identifier used across analytics and integrations to recognize and filter events.

Once an event definition is created - which many exist by default in all workspaces - the event name (action value) cannot be changed.

When editing event definitions, you can also add human-readable display names that appear in the Synerise platform for easier understanding. If no display name is provided, the system shows the action parameter value instead.

Learn more in the documentation

Related components: Data Modeling Hub, Decision Hub, Behavioral Data Hub, Automation Hub

See also: Profile (General terms, Behavioral Data Hub): The data of a person or objectProfile, Event (Data Modeling Hub, AI Hub, Decision Hub, Automation Hub, Behavioral Data Hub, AI Hub, Experience Hub, Settings): An event is a profile or system activity tracked in Synerise, such as website visits, product interactions, or message sending. Event, Custom events (Data Modeling Hub, Settings): Events you created for integration purposes and that do not exist in the default event reference.Custom events, Filter (Decision Hub): A funnel—a sequence of one or more conditions—that selects profiles by attributes, events, or other analyses used across the Synerise platform.Filter, The Synerise platform (General terms): The website where you access your workspace and Synerise features.The Synerise platform

AES

Synerise supports only AES-256 keys.

Learn more in the documentation

Related components: Automation Hub, Settings

AI engine

Learn more in the documentation

Related components: AI Hub, Experience Hub, AI Hub, Settings, Automation Hub

Audience

An audience is typically a predefined segmentation or a new group of profiles defined on the spot. These profiles share specific attributes or behaviors. Audiences serve as targets for campaigns, workflows, objects, and predictions, enabling personalized marketing strategies.

Related components: Experience Hub, Automation Hub, AI Hub, Data Modeling Hub

See also: Segmentation (Decision Hub, Experience Hub): An analysis that lets you group profiles based on shared characteristicsSegmentation, Profile (General terms, Behavioral Data Hub): The data of a person or objectProfile, Attribute (Data Modeling Hub, Behavioral Data Hub, Decision Hub, Experience Hub, AI Hub): Attributes in Synerise are data points describing profiles, products, events, or other entities.Attribute, Campaign (Experience Hub, Automation Hub): An object in Experience Hub representing a marketing initiative (for example, email, SMS, push) sent to or displayed to multiple profiles.Campaign, Marketing agreement (General terms, Experience Hub): A profile attribute which contains a status of marketing agreement. Marketing agreement

Automation Hub

In Automation Hub, you can build scenarios triggered by profile actions, schedules, or business-oriented triggers. These scenarios can import, export, and transform data; send messages; and more.

Learn more in the documentation

Related components: Automation Hub

See also: Workflow (Automation Hub): A sequence of nodes that describe a scenarioWorkflow, The Synerise platform (General terms): The website where you access your workspace and Synerise features.The Synerise platform, Profile (General terms, Behavioral Data Hub): The data of a person or objectProfile, Business workflow (Automation Hub): Triggered by a business event, for example an external data requestBusiness workflow

Business workflow

A type of workflow which is used for automating non-profile processes such as importing and exporting data, integrating with external services.

Such a workflow can be triggered by receiving data requests from external tools (for example, an ecommerce platform) or by the Scheduled Run node. The data from Synerise can be sent to external tools in response to circumstances specified in the workflow.
To build such a workflow, you can use only business-oriented nodes. When you start building a workflow and use a Business trigger, the library of nodes will only contain the nodes that can be used in a business-oriented workflow.
In business workflows, you can’t use profile-related Synerise Jinjava such as profile attributes, aggregates and expressions.

Learn more in the documentation

Related components: Automation Hub

See also: Profile-oriented workflow (Automation Hub): A workflow which runs in context of a customer's profileProfile-oriented workflow, Workflow (Automation Hub): A sequence of nodes that describe a scenarioWorkflow, Node (Automation Hub): An element of a workflowNode, Connection (Automation Hub): A connection refers to the authorization or authentication linkage established between Synerise and an external source. It serves as a preliminary step within a workflow, enabling secure requests to be sent to the external service.Connection

Campaign

In Experience Hub, you can create campaigns to send messages or display content: email, SMS, web push, mobile push, dynamic content, in-app messages, recommendations. It is designed to be sent to or displayed to profiles specified by the campaign’s audience. This term refers to the overall object, not to an individual message sent within that campaign.

Learn more in the documentation

Related components: Experience Hub, Automation Hub

See also: AI Recommendations (AI Hub): AI Recommendations are automated, personalized product suggestions generated by Synerise’s AI engine to boost user engagement and conversion across multiple channels.AI Recommendations, Audience (Experience Hub, Automation Hub, AI Hub, Data Modeling Hub): A defined group of profiles targeted with your activities (for example, send message, create a workflow).Audience, Profile (General terms, Behavioral Data Hub): The data of a person or objectProfile, Global Control Group (Experience Hub, Automation Hub, Settings): A group of profiles excluded from the audience of the message by default for any campaign type sent from Synerise. Global Control Group

Canvas

The area on the interface where you create a diagram.

Learn more in the documentation

Related components: Automation Hub

See also: Workflow (Automation Hub): A sequence of nodes that describe a scenarioWorkflow, Business workflow (Automation Hub): Triggered by a business event, for example an external data requestBusiness workflow

Connection

A connection refers to the authorization or authentication linkage established between Synerise and an external source. It serves as a preliminary step within a workflow, enabling secure requests to be sent to the external service.

Learn more in the documentation

Related components: Automation Hub

See also: Canvas (Automation Hub): The area on the interface where you create a diagram.Canvas, Node (Automation Hub): An element of a workflowNode

Data Encryption Key (DEK)

Learn more in the documentation

Related components: Automation Hub, Settings

See also: Data exchange encryption (Automation Hub, Settings): Enhances the protection of data within transfersData exchange encryption, Key Encryption Key (KEK) (Automation Hub, Settings): A key needed to encrypt and decrypt the Data Encryption Key (DEK)Key Encryption Key (KEK), AES (Automation Hub, Settings): A type of encryption key that secures dataAES

Data exchange encryption

Learn more in the documentation

Related components: Automation Hub, Settings

Data transformation

A sequence of transformation nodes (different than automation nodes) which are put together to make modifications to an input (for example, a CSV file) and then return an output that can be used, for example, to import data. Such a transformation is inserted into a workflow by using the Data Transformation node.

Learn more in the documentation

Related components: Automation Hub

See also: Workflow (Automation Hub): A sequence of nodes that describe a scenarioWorkflow

Diagram

The definition of a workflow — a sequence of connected nodes, which must have at least one trigger (start) and at least one end. On the user interface, the view where you edit the diagram is called a canvas.

Learn more in the documentation

Related components: Automation Hub

See also: Workflow (Automation Hub): A sequence of nodes that describe a scenarioWorkflow, Canvas (Automation Hub): The area on the interface where you create a diagram.Canvas, Node (Automation Hub): An element of a workflowNode

Entered

One of the counters in a node’s statistics. Shows how many times the node was started (a profile arrived at it).

Learn more in the documentation

Related components: Automation Hub

See also: Statistics (Automation Hub): Information about the usage of a workflow and its nodesStatistics, Executed (Automation Hub): The statistic of how many times a node was completed.Executed, Finished (Automation Hub): The number of workflow completions.Finished

Event

Learn more in the documentation

Related components: Data Modeling Hub, AI Hub, Decision Hub, Automation Hub, Behavioral Data Hub, AI Hub, Experience Hub, Settings

Event context

Event information carried through the nodes in a workflow. The event context is first defined in the Profile Event node and it changes with every Event Filter node in a workflow. Users are allowed to refer to the event context in the node settings, for example, to retrieve specific event data such as the ID of the viewed item. For detailed instructions, go to “Event parameters” section in the Automation inserts article.

Learn more in the documentation

Related components: Automation Hub

See also: Workflow (Automation Hub): A sequence of nodes that describe a scenarioWorkflow, Node (Automation Hub): An element of a workflowNode, User (General terms): A person who uses the Synerise platform.User

Executed

One of the counters in a node’s statistics. Shows how many times the node was completed.

Learn more in the documentation

Related components: Automation Hub

See also: Statistics (Automation Hub): Information about the usage of a workflow and its nodesStatistics, Entered (Automation Hub): The statistic of how many times a node was started.Entered, Finished (Automation Hub): The number of workflow completions.Finished, Node (Automation Hub): An element of a workflowNode

Finished

The number of workflow completions. The number is not equal to the number of unique completions of the workflow — a profile or a process can repeat within a workflow multiple times (if the node and workflow limits allow it).

Learn more in the documentation

Related components: Automation Hub

See also: Started (Automation Hub): The number of times a workflow was triggeredStarted, In workflow (Automation Hub): The number of workflows currently in progress.In workflow

Global Control Group

Learn more in the documentation

Related components: Experience Hub, Automation Hub, Settings

Goal

It is selected at the beginning of the data transformation and is designed to help you tailor your output data to meet the import requirements for specific object types. There are standard goals for importing transactions, events, and profiles into Synerise. These goals guide you in mapping your data correctly to ensure successful import.

Learn more in the documentation

Related components: Automation Hub

See also: Data transformation (Automation Hub): Allows you to modify data in progress of a workflow.Data transformation

Import

Refers to the process of uploading and integrating external data into the Synerise platform using Data Modeling Hub. This feature enables users to transfer various types of external data such as profiles, transactions, events, promotions, vouchers, and catalog records into their Synerise workspace to enrich their marketing and business activities.

When importing data, users must select an appropriate import method depending on the source and format of their files. There are two main import methods available on the user’s interface in the Synerise platform:

Import local file – This method lets you upload a single .csv file directly from your device. During this process, the user maps columns from the file to the corresponding parameters within Synerise, facilitating a straightforward and quick data upload suited for one-time or ad-hoc imports.
Import in Automation – This method supports importing files in multiple formats, including .csv, .json, .jsonl, and .xml, that are stored on external servers accessible via HTTP or SFTP protocols. After declaring the import source, users are redirected to a customizable workflow template featuring a Data Transformation node, where they can apply transformation rules to modify and adapt the data before integration into the system. This method is ideal for recurring or periodic imports.

Learn more in the documentation

Related components: Data Modeling Hub, Automation Hub

See also: Mapping (General terms): Process of linking and aligning external data attributes with Synerise’s internal data structure.Mapping, Template (General terms, Experience Hub, Automation Hub): A re-usable definition of the content of a message or a workflowTemplate, Event (Data Modeling Hub, AI Hub, Decision Hub, Automation Hub, Behavioral Data Hub, AI Hub, Experience Hub, Settings): An event is a profile or system activity tracked in Synerise, such as website visits, product interactions, or message sending. Event, Promotions (AI Hub): A feature that enables personalized discounts and special offers to be assigned and applied to profiles based on predefined rules and conditions.Promotions, Profile (General terms, Behavioral Data Hub): The data of a person or objectProfile, Catalog (Data Modeling Hub, Settings, AI Hub, Experience Hub): A data repository that allows you to upload CSV, JSON, and XML files, enabling you to store item feeds, supplemental feeds, and other business data to enrich events and personalize content of your marketing actions (messages and content displayed on your websites). Catalog, The Synerise platform (General terms): The website where you access your workspace and Synerise features.The Synerise platform, User (General terms): A person who uses the Synerise platform.User

In workflow

The number of workflow instances currently in progress - the count of active workflow runs that have started but not yet completed. These statistics are shown on the workflows list to inform you how many workflows are still ongoing.

Learn more in the documentation

Related components: Automation Hub

See also: Started (Automation Hub): The number of times a workflow was triggeredStarted, Finished (Automation Hub): The number of workflow completions.Finished, Workflow (Automation Hub): A sequence of nodes that describe a scenarioWorkflow

Incoming integration

This is a custom Synerise endpoint to which requests from external systems can be sent. The incoming integrations are used in the Business Event nodes, which trigger business workflows.

Learn more in the documentation

Related components: Automation Hub

See also: Outgoing integration (Automation Hub): Allows you to send data to an external source or APIOutgoing integration, Node (Automation Hub): An element of a workflowNode

Insights

This is the tab available on the workflow canvas. It contains collective information about communication (messages) that will be created by the workflow. This section also contains suggestions on actions you may want to take, such as updating message templates used in a workflow to the latest version.

Learn more in the documentation

Related components: Automation Hub

See also: Canvas (Automation Hub): The area on the interface where you create a diagram.Canvas

Issues

This is the tab available on the workflow canvas. It contains all issues that need to be addressed in order to activate the workflow, for example, missing connections between nodes, missing title of the workflow, and so on.

Learn more in the documentation

Related components: Automation Hub

See also: Canvas (Automation Hub): The area on the interface where you create a diagram.Canvas

Key Encryption Key (KEK)

Learn more in the documentation

Related components: Automation Hub, Settings

Node

A building element of the workflow. There are several types of nodes: triggers, flow control, conditions, actions, and integrations.

Learn more in the documentation

Related components: Automation Hub

See also: Workflow (Automation Hub): A sequence of nodes that describe a scenarioWorkflow, Diagram (Automation Hub): The structure of a workflow.Diagram

Outgoing integration

Outgoing integrations let you send data to a third-party service or an API, including the Synerise API.

Learn more in the documentation

Related components: Automation Hub

See also: Incoming integration (Automation Hub): A custom Synerise endpoint which accepts external requests.Incoming integration

Path

A profile starts a path every time they meet the requirements of the trigger of a workflow and the path shows a progression of a profile in a workflow. Depending on the configuration, a profile may have several active paths in the same workflow at the same time. This term is related only to profile-oriented workflows.

Learn more in the documentation

Related components: Automation Hub

See also: Profile (General terms, Behavioral Data Hub): The data of a person or objectProfile, Workflow (Automation Hub): A sequence of nodes that describe a scenarioWorkflow, Profile-oriented workflow (Automation Hub): A workflow which runs in context of a customer's profileProfile-oriented workflow

Pending

The number of profiles waiting for a node’s conditions to be fulfilled; for example the time required by the “Delay” node.

Learn more in the documentation

Related components: Automation Hub

See also: Profile (General terms, Behavioral Data Hub): The data of a person or objectProfile, Node (Automation Hub): An element of a workflowNode

Profile-oriented workflow

A type of workflow which is usually oriented towards performing an action towards a profile, for example updating their data or sending a message.

Such a workflow can be triggered:
- by a defined activity of a profile or the infrastructure’s activity towards the profile.
- by a change in a profile’s data.
- manually or periodically for a selected group or groups of profiles.
In such a workflow, you can use only profile-oriented nodes. When you start building a workflow and use Profile trigger, the library of nodes will only contain the nodes that can be used in this type of workflows.
In profile-oriented workflows, you can use the Synerise Jinjava related to profile attributes.

Learn more in the documentation

Related components: Automation Hub

See also: Business workflow (Automation Hub): Triggered by a business event, for example an external data requestBusiness workflow, Workflow (Automation Hub): A sequence of nodes that describe a scenarioWorkflow, Node (Automation Hub): An element of a workflowNode, Profile (General terms, Behavioral Data Hub): The data of a person or objectProfile

RSA key

Learn more in the documentation

Related components: Automation Hub, Settings

See also: AES (Automation Hub, Settings): A type of encryption key that secures dataAES, Data Encryption Key (DEK) (Automation Hub, Settings): Key used to encrypt and decrypt dataData Encryption Key (DEK), Key Encryption Key (KEK) (Automation Hub, Settings): A key needed to encrypt and decrypt the Data Encryption Key (DEK)Key Encryption Key (KEK)

Schedule rule

A rule defines a change of a workflow status at the defined date and time. You can create rules in the workflow scheduler.

Learn more in the documentation

Related components: Automation Hub

See also: Workflow scheduler (Automation Hub): Lets you define when a workflow's status should changeWorkflow scheduler

Schema

The configuration form of an Outgoing Integration node built with Schema Builder to enable reusable and customizable integration.

Learn more in the documentation

Related components: Automation Hub

See also: Outgoing integration (Automation Hub): Allows you to send data to an external source or APIOutgoing integration, User (General terms): A person who uses the Synerise platform.User, Schema (brickworks) (Data Modeling Hub): Governs the content of recordsSchema (brickworks)

Started

One of the statistics of a workflow. This is the number of times when a trigger node was activated.

Learn more in the documentation

Related components: Automation Hub

See also: Finished (Automation Hub): The number of workflow completions.Finished, In workflow (Automation Hub): The number of workflows currently in progress.In workflow, Node (Automation Hub): An element of a workflowNode

Statistics

The statistics let you see information about the number of profiles and processes in a workflow and its nodes.

Learn more in the documentation

Related components: Automation Hub

See also: Node (Automation Hub): An element of a workflowNode, Workflow (Automation Hub): A sequence of nodes that describe a scenarioWorkflow

Template

There are the following template variants in Synerise:

A template is a re-usable layout for a message. You can modify it between campaigns to best suit your needs. To personalize the message for each customer and use variables and conditional logic, you can add Synerise Jinjava to the template. Some useful templates are automatically created in each workspace.
You can use workflow templates while using simple imports and exports - when selecting import or export through Automation, you are redirected to a template workflow which let you import/export the data.

Related components: General terms, Experience Hub, Automation Hub

See also: Synerise Jinjava (General terms): A customized Java templating engine based on Jinjava, enhanced with Synerise-specific features and modifications to suit platform needs.Synerise Jinjava, Campaign (Experience Hub, Automation Hub): An object in Experience Hub representing a marketing initiative (for example, email, SMS, push) sent to or displayed to multiple profiles.Campaign, Workflow (Automation Hub): A sequence of nodes that describe a scenarioWorkflow

Workflow

A sequence of nodes that together describe a scenario and define the course of actions to be performed in defined circumstances. This term refers to the concept of an automated process whose subject is a profile (profile-oriented workflow) or a process involving retrieving or sending out data (business workflow). The structure of the workflow is referred to in the documentation as a diagram.

Each workflow can last 60 days. After those 60 days, if a user is stuck in the workflow (for example, they didn’t meet the conditions in an Event Filter), the workflow is automatically finished.

Learn more in the documentation

Related components: Automation Hub

See also: Canvas (Automation Hub): The area on the interface where you create a diagram.Canvas, Diagram (Automation Hub): The structure of a workflow.Diagram, Business workflow (Automation Hub): Triggered by a business event, for example an external data requestBusiness workflow, Profile-oriented workflow (Automation Hub): A workflow which runs in context of a customer's profileProfile-oriented workflow, Profile (General terms, Behavioral Data Hub): The data of a person or objectProfile

Workflow capping

You can define how many times a workflow or node can be activated.

Learn more in the documentation

Related components: Automation Hub

See also: Workflow (Automation Hub): A sequence of nodes that describe a scenarioWorkflow, Node (Automation Hub): An element of a workflowNode

Workflow scheduler

A workflow scheduler lets you automatically schedule changes of a workflow status by setting rules that define when the workflow status changes. You can enable scheduler for new and already active workflows.

Learn more in the documentation

Related components: Automation Hub

See also: Schedule rule (Automation Hub): Changes the status of a workflow at the defined timeSchedule rule

Workflow status

A workflow can have one of the following statuses:

Draft - It is a workflow that has been saved but it hasn’t been activated yet.
Pending - It is a workflow which will become active at a specified date and time.
Active - It is an activated workflow.
Paused - It is a workflow that is stopped temporarily.
Stopped - It is a workflow that is stopped permanently.

Learn more in the documentation

Related components: Automation Hub

See also: Workflow (Automation Hub): A sequence of nodes that describe a scenarioWorkflow

AI Hub

A/B/X testing

A/B/X testing splits traffic between two or more variants and measures which performs better. In Experience Hub, variants are typically different message versions — such as different subject lines, content, or send times — tested against each other within a campaign. In AI Hub, variants can be different recommendation models, search configurations, or personalization settings. Performance is tracked through built-in statistics, enabling data-driven decisions.

Learn more in the documentation

Related components: AI Hub, Experience Hub

See also: AI Recommendations (AI Hub): AI Recommendations are automated, personalized product suggestions generated by Synerise’s AI engine to boost user engagement and conversion across multiple channels.AI Recommendations, AI Search (AI Hub): Search engine feature enhanced by artificial intelligence (AI) engine.AI Search, Campaign (Experience Hub, Automation Hub): An object in Experience Hub representing a marketing initiative (for example, email, SMS, push) sent to or displayed to multiple profiles.Campaign, Experience Hub (Experience Hub): The name of the component in the Synerise platform in which you can create messages, dynamic content (pop-ups and web layers), landing pages, and screen views.Experience Hub

AI engine

Learn more in the documentation

Related components: AI Hub, Experience Hub, AI Hub, Settings, Automation Hub

AI Predictions

A codeless AI-powered analysis which lets you anticipate profile actions.

Key features:

Built on data already stored inside the Synerise platform
No coding required
No need for manual feature selection or creation
Fully customizable from the user’s perspective
Prediction analysis is saved as events which you can use further on (for example in Automation Hub, Experience Hub, Decision Hub, and so on)
Easy way to discover top contributing factors to the entire model but also to single predictions
Simplified process of creating a prediction based on predefined scenarios

Learn more in the documentation

Related components: AI Hub

See also: Analysis (Decision Hub): An analysis refers to the objects a Synerise user can create in Decision Hub, such as dashboards, funnels, segmentations, metrics, histograms, reports, trends, geoanalyses, Sankey diagrams, aggregates, and expressions.Analysis, Event (Data Modeling Hub, AI Hub, Decision Hub, Automation Hub, Behavioral Data Hub, AI Hub, Experience Hub, Settings): An event is a profile or system activity tracked in Synerise, such as website visits, product interactions, or message sending. Event, Prediction (score) (AI Hub): An AI-powered estimate of a future occurrencePrediction (score), Lookalikes (AI Hub): A prediction model which finds similarities between profilesLookalikes, Classification (AI Hub): A prediction model which predicts true/false valuesClassification, Regression (AI Hub): A prediction model used to predict a continuous value (for example, customer lifetime value)Regression, Propensity (AI Hub): A prediction model which lets you analyze the probability of an item purchasePropensity, Best Fit (AI Hub): A prediction type that evaluates how well a specific item attribute value (e.g., brand) matches a selected group of profiles.Best Fit

AI Recommendations

AI Recommendations use Synerise’s proprietary AI engine to analyze customer behavior and product data, delivering personalized and context-aware item suggestions across websites, apps, push notifications, and business platforms. They support various recommendation types and customization options like filtering, boosting, and A/B testing, helping businesses increase conversions with minimal manual setup.

Learn more in the documentation

Related components: AI Hub

See also: AI engine (AI Hub, Experience Hub, AI Hub, Settings, Automation Hub): AI engine comprises a set of advanced algorithms that analyze data, learn patterns, and automate complex processes. It powers features like recommendations, predictions, and AI search.AI engine, Attribute (Data Modeling Hub, Behavioral Data Hub, Decision Hub, Experience Hub, AI Hub): Attributes in Synerise are data points describing profiles, products, events, or other entities.Attribute, Boosting (AI Hub): A technique that adjusts the ranking of items in recommendations based on attribute values.Boosting, Filterable attributes (AI Hub, Settings): Attributes by means of which recommendation and AI search results can be filtered.Filterable attributes, Facetable attributes (AI Hub): Attributes that can be used as facets.Facetable attributes, Elastic filters (AI Hub): A filter that fills a recommendation slot with extra items when it’s not fully filled with matching items.Elastic filters, Distinct filters (AI Hub): A filter that increases item variety in a recommendation slot. Distinct filters, Item feed (Settings, AI Hub, Experience Hub, AI Hub): A repository of product information generated as a result of AI engine configuration.Item feed, Campaign (Experience Hub, Automation Hub): An object in Experience Hub representing a marketing initiative (for example, email, SMS, push) sent to or displayed to multiple profiles.Campaign, Synerise object (General terms): A generic term for entities such as analyses, templates, predictions, etc.Synerise object, A/B/X testing (AI Hub, Experience Hub): A method of comparing two or more variants to determine which performs better.A/B/X testing

AI Search

AI feature designed to enhance search results by delivering personalized and relevant product or content recommendations. Using advanced AI algorithms, it analyzes customer preferences and behavior to provide more accurate and engaging search outcomes.

Key capabilities include:

Flexible search methods, supporting both keyword-based and natural language processing (NLP) queries
Multiple display options, such as product listings
Autocomplete functionality for faster searches
Full-text search and visual search capabilities
Customizable settings, including levels of personalization, predictive filtering, and dynamic reranking
Query suggestions and query rules to refine search behavior
Built-in A/B testing for optimizing search strategies
Comprehensive search engine statistics to track performance and user engagement

With AI Search, you can create tailored, efficient, and insightful search experiences that drive higher user satisfaction and conversion rates.

Learn more in the documentation

Related components: AI Hub

Attribute

Attributes in Synerise are data points describing profiles, products, events, or other entities. They can include demographic information, behavior metrics, or product features, which are used for segmentation, personalization, and targeting. They are foundation of analyses and personalization. They let you:

build highly precise customer segmentations,
apply filters in recommendations (for example, only show products in stock or within a price range),
narrow down AI Search results (for example, only dresses in size M),
define conditions in automation workflows (for example, send a discount only to customers tagged as “VIP”).

Learn more in the documentation

Related components: Data Modeling Hub, Behavioral Data Hub, Decision Hub, Experience Hub, AI Hub

See also: Profile (General terms, Behavioral Data Hub): The data of a person or objectProfile, Item (General terms): A single product defined in an item feedItem, Filter (Decision Hub): A funnel—a sequence of one or more conditions—that selects profiles by attributes, events, or other analyses used across the Synerise platform.Filter, Analysis (Decision Hub): An analysis refers to the objects a Synerise user can create in Decision Hub, such as dashboards, funnels, segmentations, metrics, histograms, reports, trends, geoanalyses, Sankey diagrams, aggregates, and expressions.Analysis, Segmentation (Decision Hub, Experience Hub): An analysis that lets you group profiles based on shared characteristicsSegmentation

Audience

Related components: Experience Hub, Automation Hub, AI Hub, Data Modeling Hub

Best Fit

The Best Fit Prediction Model helps identify the most suitable item or the value of an item attribute for each customer. It allows you to specify an attribute such as brand, category, color, or any other characteristic from your item feed. The model then predicts which attribute value is most relevant to each customer. You can create the prediction either from scratch or by using predefined scenarios that guide you step-by-step through the setup. These scenarios include finding the best brand, category, or overall best item for a customer.

To work effectively, the AI Engine must be configured for Best Fit predictions, and the attributes you want to predict must be set as filterable. Once set up, you select the audience and the item feed to analyze, define item attributes and filters, and launch the calculation.

The prediction result includes a score and the most likely attribute value for each customer, enabling personalized recommendations and targeted marketing.

Learn more in the documentation

Related components: AI Hub

See also: Item (General terms): A single product defined in an item feedItem, Attribute (Data Modeling Hub, Behavioral Data Hub, Decision Hub, Experience Hub, AI Hub): Attributes in Synerise are data points describing profiles, products, events, or other entities.Attribute, Item feed (Settings, AI Hub, Experience Hub, AI Hub): A repository of product information generated as a result of AI engine configuration.Item feed, AI engine (AI Hub, Experience Hub, AI Hub, Settings, Automation Hub): AI engine comprises a set of advanced algorithms that analyze data, learn patterns, and automate complex processes. It powers features like recommendations, predictions, and AI search.AI engine, Classification (AI Hub): A prediction model which predicts true/false valuesClassification, Regression (AI Hub): A prediction model used to predict a continuous value (for example, customer lifetime value)Regression, Lookalikes (AI Hub): A prediction model which finds similarities between profilesLookalikes, Propensity (AI Hub): A prediction model which lets you analyze the probability of an item purchasePropensity

Boosting

Boosting lets you promote or demote items in recommendation results based on their attribute values. For example, you can boost items of a specific brand or category to make them appear higher in the results, or demote out-of-season items. Boosting is configured in the recommendation slot settings.

Learn more in the documentation

Related components: AI Hub

See also: AI Recommendations (AI Hub): AI Recommendations are automated, personalized product suggestions generated by Synerise’s AI engine to boost user engagement and conversion across multiple channels.AI Recommendations, Slot (AI Hub): A fragment of the recommendation frameSlot, Attribute (Data Modeling Hub, Behavioral Data Hub, Decision Hub, Experience Hub, AI Hub): Attributes in Synerise are data points describing profiles, products, events, or other entities.Attribute, Item feed (Settings, AI Hub, Experience Hub, AI Hub): A repository of product information generated as a result of AI engine configuration.Item feed

Catalog

Remember, catalogs are not for storing personal data about customers. That kind of data is kept in Behavioral Data Hub.

Learn more in the documentation

Related components: Data Modeling Hub, Settings, AI Hub, Experience Hub

Classification

Classification is an example of a supervised learning algorithm, which is used to work with the labeled data sets. Classification should be used whenever you want to predict binary values or classes like 0/1, true/false (for example, churn, purchases, whether a customer will/will not perform a specific event, and so on).

Learn more in the documentation

Related components: AI Hub

See also: Prediction (score) (AI Hub): An AI-powered estimate of a future occurrencePrediction (score), Regression (AI Hub): A prediction model used to predict a continuous value (for example, customer lifetime value)Regression, Lookalikes (AI Hub): A prediction model which finds similarities between profilesLookalikes, Propensity (AI Hub): A prediction model which lets you analyze the probability of an item purchasePropensity, Best Fit (AI Hub): A prediction type that evaluates how well a specific item attribute value (e.g., brand) matches a selected group of profiles.Best Fit

Data catalog

Learn more in the documentation

Related components: Settings, AI Hub, Experience Hub, Data Modeling Hub

Distinct filters

This type of filter allows you to increase the variety of items included in a recommendation slot. You can define the allowed number of items that share the same attribute value to be shown, for example, a number of items that have the same brand, color, shape, category, and so on. There are two types of distinct filters:

Slot distinct filter - Configured within the slot settings when creating a recommendation.
Global distinct filter - Defined in the recommendation model’s item feed settings. It can be enabled in the recommendation slot but will override the slot distinct filter if active.

Learn more in the documentation

Related components: AI Hub

See also: AI Recommendations (AI Hub): AI Recommendations are automated, personalized product suggestions generated by Synerise’s AI engine to boost user engagement and conversion across multiple channels.AI Recommendations, Item feed (Settings, AI Hub, Experience Hub, AI Hub): A repository of product information generated as a result of AI engine configuration.Item feed, Attribute (Data Modeling Hub, Behavioral Data Hub, Decision Hub, Experience Hub, AI Hub): Attributes in Synerise are data points describing profiles, products, events, or other entities.Attribute, Category (AI Hub, Experience Hub): An item attribute that defines the hierarchical classification of an item in an item feed, specifying the category path using the format Top Level > Subcategory > Sub-subcategory.Category, Slot (AI Hub): A fragment of the recommendation frameSlot

Elastic filters

This filter lets you choose extra items to include in a recommendation slot when the slot isn’t completely filled. For example, if you want to show up to 10 items but only 5 match the elastic filter conditions, the remaining 5 slots will be filled with additional items that don’t match the filter, based on scoring.

Learn more in the documentation

Related components: AI Hub

See also: AI Recommendations (AI Hub): AI Recommendations are automated, personalized product suggestions generated by Synerise’s AI engine to boost user engagement and conversion across multiple channels.AI Recommendations, Item feed (Settings, AI Hub, Experience Hub, AI Hub): A repository of product information generated as a result of AI engine configuration.Item feed, Attribute (Data Modeling Hub, Behavioral Data Hub, Decision Hub, Experience Hub, AI Hub): Attributes in Synerise are data points describing profiles, products, events, or other entities.Attribute, Category (AI Hub, Experience Hub): An item attribute that defines the hierarchical classification of an item in an item feed, specifying the category path using the format Top Level > Subcategory > Sub-subcategory.Category, Slot (AI Hub): A fragment of the recommendation frameSlot

Event

Learn more in the documentation

Related components: Data Modeling Hub, AI Hub, Decision Hub, Automation Hub, Behavioral Data Hub, AI Hub, Experience Hub, Settings

Facetable attributes

Attributes that can be used as facets. Facets allow customers to sort search results by attributes and their values. For example, you can use the color attribute as facetable to let the customers select which colors they’re interested in.

Learn more in the documentation

Related components: AI Hub

Feature

A feature is an individual, measurable property of an object (for example, of a customer) you would like to analyze. A feature is also referred to as a variable or attribute. Features are automatically built statistics (for example, sums, averages, trends, deltas) based on the events already stored within the Synerise platform in order to be taken ultimately as data inputs for predictions.

Related components: AI Hub

Feature importance

Importance is the measure of a feature’s influence on the results of a prediction.

It has two sub-types:

Global feature importance gives you an idea how strong the influence of certain features was on overall model outputs. They have positive value and sum to an entity.
Local feature importance gives you an understanding which features had the most influence on a single prediction in comparison to an average model prediction. They can have positive and negative values and they are scaled in the prediction values.

Related components: AI Hub

See also: Prediction (score) (AI Hub): An AI-powered estimate of a future occurrencePrediction (score), Feature (AI Hub): A measurable property of an object (for example, a customer)Feature

Filterable attributes

Learn more in the documentation

Related components: AI Hub, Settings

Handbill

A promotion type for which the items can be selected by the AI promotion engine.

Learn more in the documentation

Related components: AI Hub

See also: Promotions (AI Hub): A feature that enables personalized discounts and special offers to be assigned and applied to profiles based on predefined rules and conditions.Promotions

Item feed

Metadata catalog: Contains metadata such as images used for recommendations based on section pages and attribute models.
Supplemental catalog: Contains availability and price information about items per store or sales channel.

Learn more in the documentation

Related components: Settings, AI Hub, Experience Hub, AI Hub

Lookalikes

A prediction model which allows you to discover profiles sharing the same preferences or any other qualities. Lookalikes let you compare two segmentations called source (for example, segmentation of profiles who converted in a campaign in the past) and target. The prediction lets you search the target segmentation for profiles similar to the ones in the source segmentation. This, in turn, opens up opportunities to use the lookalike segments to address personalized communication, extending your reach or other actions. Lookalikes take advantage of our state-of-the-art AI/ML algorithms and frameworks such as Cleora and EMDE and are built upon behavioral profiles.

Learn more in the documentation

Related components: AI Hub

See also: Prediction (score) (AI Hub): An AI-powered estimate of a future occurrencePrediction (score), Classification (AI Hub): A prediction model which predicts true/false valuesClassification, Regression (AI Hub): A prediction model used to predict a continuous value (for example, customer lifetime value)Regression, Best Fit (AI Hub): A prediction type that evaluates how well a specific item attribute value (e.g., brand) matches a selected group of profiles.Best Fit, Propensity (AI Hub): A prediction model which lets you analyze the probability of an item purchasePropensity, Segmentation (Decision Hub, Experience Hub): An analysis that lets you group profiles based on shared characteristicsSegmentation

Percentiles

Percentile is a score below which a specified percentage of profiles from an analyzed group falls. For instance, the 50th percentile means that 50% of the profiles have lower score than this one. Percentiles are especially useful whenever you direct communication only to a certain number of profiles. Let’s assume that you want to make a prediction for a segment that is made up of 100 000 profiles, and you want to send a message only to 10 000 of them. In this case, you can pick TOP 10% of profiles with the highest score: in terms of percentiles this value is expressed as “over the 90th percentile”.

Learn more in the documentation

Related components: AI Hub

See also: Prediction (score) (AI Hub): An AI-powered estimate of a future occurrencePrediction (score)

Prediction (score)

A prediction (score) refers to a single output of a model after it has been trained, and then scored based on a selected data set (that contains chosen features). Predictions are probable values generated by a model, created for every customer who belongs to the selected audience. Depending on the type of the problem you want to solve, predictions can be perceived as likelihood or forecasted values. The output of the prediction is a snr.prediction.score event generated for profiles that were selected as the target of the prediction.

Learn more in the documentation

Related components: AI Hub

See also: Classification (AI Hub): A prediction model which predicts true/false valuesClassification, Regression (AI Hub): A prediction model used to predict a continuous value (for example, customer lifetime value)Regression, Best Fit (AI Hub): A prediction type that evaluates how well a specific item attribute value (e.g., brand) matches a selected group of profiles.Best Fit, Propensity (AI Hub): A prediction model which lets you analyze the probability of an item purchasePropensity, Lookalikes (AI Hub): A prediction model which finds similarities between profilesLookalikes, Event reference (Data Modeling Hub): List of events and their parameters that are generated automatically after implementing a tracking code.Event reference

Prediction result scale

The result of a prediction can be presented on a 2-point or 5-point (default) scale, depending on the configuration.

2-point: low, high
5-point: very low, low, medium, high, very high

Learn more in the documentation

Related components: AI Hub

Promotions

A marketing feature that enables personalized discounts and special offers to be assigned and applied to profiles based on predefined rules and conditions. Promotions can target specific audiences and be scoped either to selected items or the entire basket in a transaction. Promotions have different statuses reflecting their lifecycle, such as Assigned (ready to be activated), Active (can be applied during a transaction), or Redeemed (used and no longer available to the customer). They can be activated, deactivated, or redeemed through API methods or platform processes.

Learn more in the documentation

Related components: AI Hub

See also: Handbill (AI Hub): A promotion type for which the items can be selected by the AI promotion engine.Handbill, Audience (Experience Hub, Automation Hub, AI Hub, Data Modeling Hub): A defined group of profiles targeted with your activities (for example, send message, create a workflow).Audience, Profile (General terms, Behavioral Data Hub): The data of a person or objectProfile, Item (General terms): A single product defined in an item feedItem

Propensity

A prediction model that lets you predict the propensity for buying particular products, brands, categories, but you can also use any other item attributes for the prediction. The generated predictions can be easily used to build segmentations for further use in actions in Automation or Decision Hub. As with the other prediction types, propensity predictions are based on our state-of-the-art AI/ML algorithms and frameworks such as Cleora and EMDE and are built upon behavioral profiles.

Learn more in the documentation

Related components: AI Hub

See also: Classification (AI Hub): A prediction model which predicts true/false valuesClassification, Regression (AI Hub): A prediction model used to predict a continuous value (for example, customer lifetime value)Regression, Best Fit (AI Hub): A prediction type that evaluates how well a specific item attribute value (e.g., brand) matches a selected group of profiles.Best Fit, Lookalikes (AI Hub): A prediction model which finds similarities between profilesLookalikes, Segmentation (Decision Hub, Experience Hub): An analysis that lets you group profiles based on shared characteristicsSegmentation

Query

The text entered (or autofilled) in a search box.

Related components: AI Hub

See also: Query suggestions (AI Hub): AI-generated tips for a search queryQuery suggestions

Query suggestions

AI-generated tips for a search query.

When a customer enters a query in the search box, you can make an API request to a suggestion index, which will return other queries that the customer may be interested in. These are called suggestions. Their source and selection method depend on the configuration of the search index - you can use our AI models to build a selection index, but you can also add suggestions manually or block certain phrases.

Learn more in the documentation

Related components: AI Hub

Recommendation frame

A recommendation frame is the top-level structure of an AI recommendation campaign. It acts as a container for one or more slots, each of which can be independently configured with its own number of items and filters. The frame defines where recommendations are displayed, for example on a product page or in an email.

Learn more in the documentation

Related components: AI Hub

See also: Slot (AI Hub): A fragment of the recommendation frameSlot, AI Recommendations (AI Hub): AI Recommendations are automated, personalized product suggestions generated by Synerise’s AI engine to boost user engagement and conversion across multiple channels.AI Recommendations, Elastic filters (AI Hub): A filter that fills a recommendation slot with extra items when it’s not fully filled with matching items.Elastic filters, Distinct filters (AI Hub): A filter that increases item variety in a recommendation slot. Distinct filters

Redemption

After a promotion or voucher is assigned to a profile and activated, the profile can use it up when finalizing the transaction. This is called “redeeming” the promotion or voucher. You can configure a promotion to be redeemed multiple times by the same profile. Vouchers can only be redeemed once.

Related components: AI Hub

See also: Promotions (AI Hub): A feature that enables personalized discounts and special offers to be assigned and applied to profiles based on predefined rules and conditions.Promotions, Handbill (AI Hub): A promotion type for which the items can be selected by the AI promotion engine.Handbill, Voucher (AI Hub): A unique code assigned to a profile that provides a discount or benefit redeemable during a transaction.Voucher

Regression

A custom prediction model type. Regression is an example of supervised learning algorithm, which is used to work with the labeled data sets. Regression should be used whenever you want to predict the continuous value (for example, customer lifetime value, number of transactions in the next 90 days, total transaction value in the next 30 days, and so on).

Learn more in the documentation

Related components: AI Hub

See also: Classification (AI Hub): A prediction model which predicts true/false valuesClassification, Best Fit (AI Hub): A prediction type that evaluates how well a specific item attribute value (e.g., brand) matches a selected group of profiles.Best Fit, Propensity (AI Hub): A prediction model which lets you analyze the probability of an item purchasePropensity, Lookalikes (AI Hub): A prediction model which finds similarities between profilesLookalikes

Reranking

Reranking adjusts the default order of items returned by AI Search or AI Recommendations. Dynamic reranking applies personalization signals — such as a customer’s browsing or purchase history — to reorder results in real time, making them more relevant to the individual. Reranking can be configured as part of the search index or recommendation settings.

Learn more in the documentation

Related components: AI Hub

Search index

A search index is a configuration in AI Search that determines how items from an item feed are indexed and returned in search results. Its settings include filterable attributes, facetable attributes, query suggestions, personalization levels, and query rules. Each search index is tied to an item feed and must be configured before AI Search can return results.

Learn more in the documentation

Related components: AI Hub

See also: AI Search (AI Hub): Search engine feature enhanced by artificial intelligence (AI) engine.AI Search, Item feed (Settings, AI Hub, Experience Hub, AI Hub): A repository of product information generated as a result of AI engine configuration.Item feed, Filterable attributes (AI Hub, Settings): Attributes by means of which recommendation and AI search results can be filtered.Filterable attributes, Facetable attributes (AI Hub): Attributes that can be used as facets.Facetable attributes, Query suggestions (AI Hub): AI-generated tips for a search queryQuery suggestions

Slot

A slot is a fragment of the recommendation frame. Each frame can contain multiple slots, and each slot can have its own item number and filters.

Learn more in the documentation

Related components: AI Hub

See also: AI Recommendations (AI Hub): AI Recommendations are automated, personalized product suggestions generated by Synerise’s AI engine to boost user engagement and conversion across multiple channels.AI Recommendations, Elastic filters (AI Hub): A filter that fills a recommendation slot with extra items when it’s not fully filled with matching items.Elastic filters, Distinct filters (AI Hub): A filter that increases item variety in a recommendation slot. Distinct filters

Voucher

A voucher is a unique code that can be assigned to a profile and used to apply a discount or other benefit when finalizing a transaction. Vouchers can only be redeemed once. They are managed separately from promotions, which can be configured for multiple redemptions.

Learn more in the documentation

Related components: AI Hub

See also: Redemption (AI Hub): The act of using up a voucher or promotionRedemption, Promotions (AI Hub): A feature that enables personalized discounts and special offers to be assigned and applied to profiles based on predefined rules and conditions.Promotions, Profile (General terms, Behavioral Data Hub): The data of a person or objectProfile

Data Modeling Hub

Action/Event name

Once an event definition is created - which many exist by default in all workspaces - the event name (action value) cannot be changed.

Learn more in the documentation

Related components: Data Modeling Hub, Decision Hub, Behavioral Data Hub, Automation Hub

Attribute

build highly precise customer segmentations,
apply filters in recommendations (for example, only show products in stock or within a price range),
narrow down AI Search results (for example, only dresses in size M),
define conditions in automation workflows (for example, send a discount only to customers tagged as “VIP”).

Learn more in the documentation

Related components: Data Modeling Hub, Behavioral Data Hub, Decision Hub, Experience Hub, AI Hub

Audience

Related components: Experience Hub, Automation Hub, AI Hub, Data Modeling Hub

Catalog

Remember, catalogs are not for storing personal data about customers. That kind of data is kept in Behavioral Data Hub.

Learn more in the documentation

Related components: Data Modeling Hub, Settings, AI Hub, Experience Hub

Custom events

Learn more in the documentation

Related components: Data Modeling Hub, Settings

Data catalog

Learn more in the documentation

Related components: Settings, AI Hub, Experience Hub, Data Modeling Hub

Data Management

The former name for Data Modeling Hub

Related components: Data Modeling Hub

See also: Data Modeling Hub (Data Modeling Hub): The name of the component in the Synerise platform. Data Modeling Hub

Data Modeling Hub

This component provides the following key functions:

Central data repository: Stores your workspace’s data, including catalogs (such as item feeds and business information for campaigns), events and their parameters, customer attributes, tags, profile tags, and files. These data assets can be utilized for analysis, message templates, and workflows.
Creation of reusable content: Enables the creation and management of schemas, brickworks, records, snippets (reusable code segments used in templates or fields across the Synerise platform that allow dynamic data usage), and voucher pools.
Data transfer: Supports importing and exporting data to facilitate easy integration and efficient data management.

Learn more in the documentation

Related components: Data Modeling Hub

See also: Catalog (Data Modeling Hub, Settings, AI Hub, Experience Hub): A data repository that allows you to upload CSV, JSON, and XML files, enabling you to store item feeds, supplemental feeds, and other business data to enrich events and personalize content of your marketing actions (messages and content displayed on your websites). Catalog, Item feed (Settings, AI Hub, Experience Hub, AI Hub): A repository of product information generated as a result of AI engine configuration.Item feed, Event enrichment (Data Modeling Hub): Process of automatically adding data from a catalog to recorded events in the Synerise platform.Event enrichment, Tag (General terms, Behavioral Data Hub, Data Modeling Hub): Can be used to filter and manage profiles, promotions, campaigns, and workflows and manage communication limits. Tag, Schema (brickworks) (Data Modeling Hub): Governs the content of recordsSchema (brickworks), Import (Data Modeling Hub, Automation Hub): A process of bringing data to SyneriseImport, The Synerise platform (General terms): The website where you access your workspace and Synerise features.The Synerise platform, Workspace (General terms, Settings): Your “virtual office” in Synerise, shared with other users from your business. May be part of a larger organization.Workspace

Event

Learn more in the documentation

Related components: Data Modeling Hub, AI Hub, Decision Hub, Automation Hub, Behavioral Data Hub, AI Hub, Experience Hub, Settings

Event enrichment

The process of automatically adding additional data from catalogs to an event based on matching parameter values, enhancing the event with relevant information without needing to send all data each time. When an event parameter’s value matches a key in a catalog, the corresponding catalog data is appended to the event. This enables richer event detail, such as adding comprehensive product information to product-related events, without sending all the data explicitly with every event occurrence.

Learn more in the documentation

Related components: Data Modeling Hub

See also: Event (Data Modeling Hub, AI Hub, Decision Hub, Automation Hub, Behavioral Data Hub, AI Hub, Experience Hub, Settings): An event is a profile or system activity tracked in Synerise, such as website visits, product interactions, or message sending. Event, Catalog (Data Modeling Hub, Settings, AI Hub, Experience Hub): A data repository that allows you to upload CSV, JSON, and XML files, enabling you to store item feeds, supplemental feeds, and other business data to enrich events and personalize content of your marketing actions (messages and content displayed on your websites). Catalog, Event parameters (Data Modeling Hub, Decision Hub): Additional pieces of information about an activity the event describes.Event parameters, Event reference (Data Modeling Hub): List of events and their parameters that are generated automatically after implementing a tracking code.Event reference

Event parameters

An event parameter provides extra context and details about the profile activity represented by an event. For example, in a page.visit event, parameters might include the visitor’s IP address, the UTM source that referred them, and the device they used to access the website. By capturing event parameters alongside events, you can perform detailed analyses, such as counting visits to specific subdomains or calculating the estimated value of abandoned shopping carts for individual customers.

Learn more in the documentation

Related components: Data Modeling Hub, Decision Hub

See also: Event (Data Modeling Hub, AI Hub, Decision Hub, Automation Hub, Behavioral Data Hub, AI Hub, Experience Hub, Settings): An event is a profile or system activity tracked in Synerise, such as website visits, product interactions, or message sending. Event, Action/Event name (Data Modeling Hub, Decision Hub, Behavioral Data Hub, Automation Hub): The system name of an event, for example page.visitAction/Event name, Custom events (Data Modeling Hub, Settings): Events you created for integration purposes and that do not exist in the default event reference.Custom events, Event enrichment (Data Modeling Hub): Process of automatically adding data from a catalog to recorded events in the Synerise platform.Event enrichment, Event reference (Data Modeling Hub): List of events and their parameters that are generated automatically after implementing a tracking code.Event reference, Filter (Decision Hub): A funnel—a sequence of one or more conditions—that selects profiles by attributes, events, or other analyses used across the Synerise platform.Filter

Event reference

A comprehensive list of events and their parameters that are automatically generated once the tracking code is implemented. The list is organized by features, and for each event, it includes the parameters involved along with descriptions.

Learn more in the documentation

Related components: Data Modeling Hub

Import

Import local file – This method lets you upload a single .csv file directly from your device. During this process, the user maps columns from the file to the corresponding parameters within Synerise, facilitating a straightforward and quick data upload suited for one-time or ad-hoc imports.
Import in Automation – This method supports importing files in multiple formats, including .csv, .json, .jsonl, and .xml, that are stored on external servers accessible via HTTP or SFTP protocols. After declaring the import source, users are redirected to a customizable workflow template featuring a Data Transformation node, where they can apply transformation rules to modify and adapt the data before integration into the system. This method is ideal for recurring or periodic imports.

Learn more in the documentation

Related components: Data Modeling Hub, Automation Hub

Primary key

The primary key is a unique ID of an entry in a catalog. When you import entries to a catalog (for example, from a CSV file), you must select the property which will be used as the primary key.

Related components: Data Modeling Hub

Schema (brickworks)

A schema is the layout for records which are created from it. The schema defines the fields and their allowed and default values; and records must adhere to those settings when they are created. Updating a schema may influence content generation from existing records.

Learn more in the documentation

Related components: Data Modeling Hub

Slug

A slug is one of the identifiers of a document. You can define it when creating the document and then use it in URLs and references to the document, for example in Jinjava inserts. It’s shorter and more human-friendly than the randomly generated UUID.

Learn more in the documentation

Related components: Data Modeling Hub

Tag

Tags can be used to mark an asset for more precise analysis or management. Tags are divided into two sub-types:

Profile tags: can be used to filter profiles, for example when selecting the audience for a campaign.
Asset tags: can be assigned to workflows, promotions, and campaigns to filter their lists and manage communication limits.

Related components: General terms, Behavioral Data Hub, Data Modeling Hub

See also: Profile (General terms, Behavioral Data Hub): The data of a person or objectProfile, Campaign (Experience Hub, Automation Hub): An object in Experience Hub representing a marketing initiative (for example, email, SMS, push) sent to or displayed to multiple profiles.Campaign, Workflow (Automation Hub): A sequence of nodes that describe a scenarioWorkflow, Promotions (AI Hub): A feature that enables personalized discounts and special offers to be assigned and applied to profiles based on predefined rules and conditions.Promotions

Experience Hub

A/B/X testing

Learn more in the documentation

Related components: AI Hub, Experience Hub

See also: AI Recommendations (AI Hub): AI Recommendations are automated, personalized product suggestions generated by Synerise’s AI engine to boost user engagement and conversion across multiple channels.AI Recommendations, AI Search (AI Hub): Search engine feature enhanced by artificial intelligence (AI) engine.AI Search, Campaign (Experience Hub, Automation Hub): An object in Experience Hub representing a marketing initiative (for example, email, SMS, push) sent to or displayed to multiple profiles.Campaign, Experience Hub (Experience Hub): The name of the component in the Synerise platform in which you can create messages, dynamic content (pop-ups and web layers), landing pages, and screen views.Experience Hub

AI engine

Learn more in the documentation

Related components: AI Hub, Experience Hub, AI Hub, Settings, Automation Hub

Attribute

build highly precise customer segmentations,
apply filters in recommendations (for example, only show products in stock or within a price range),
narrow down AI Search results (for example, only dresses in size M),
define conditions in automation workflows (for example, send a discount only to customers tagged as “VIP”).

Learn more in the documentation

Related components: Data Modeling Hub, Behavioral Data Hub, Decision Hub, Experience Hub, AI Hub

Audience

Related components: Experience Hub, Automation Hub, AI Hub, Data Modeling Hub

Campaign

Learn more in the documentation

Related components: Experience Hub, Automation Hub

Catalog

Remember, catalogs are not for storing personal data about customers. That kind of data is kept in Behavioral Data Hub.

Learn more in the documentation

Related components: Data Modeling Hub, Settings, AI Hub, Experience Hub

Communication

The former name for Experience Hub

Related components: Experience Hub

See also: Experience Hub (Experience Hub): The name of the component in the Synerise platform in which you can create messages, dynamic content (pop-ups and web layers), landing pages, and screen views.Experience Hub

Data catalog

Learn more in the documentation

Related components: Settings, AI Hub, Experience Hub, Data Modeling Hub

Event

Learn more in the documentation

Related components: Data Modeling Hub, AI Hub, Decision Hub, Automation Hub, Behavioral Data Hub, AI Hub, Experience Hub, Settings

Experience Hub

The name of the module in the Synerise platform where you can create and send different types of customer messages, such as emails, pop-ups, web layers, landing pages, and screen views. This component helps you run marketing campaigns across many channels like email, SMS, and push notifications. It works together with other parts of the Synerise platform to help you target the right audience, personalize your messages, and track how well your campaigns are doing. This makes it easier to connect with customers and improve their experience.

Learn more in the documentation

Related components: Experience Hub

See also: Audience (Experience Hub, Automation Hub, AI Hub, Data Modeling Hub): A defined group of profiles targeted with your activities (for example, send message, create a workflow).Audience, Campaign (Experience Hub, Automation Hub): An object in Experience Hub representing a marketing initiative (for example, email, SMS, push) sent to or displayed to multiple profiles.Campaign, Marketing agreement (General terms, Experience Hub): A profile attribute which contains a status of marketing agreement. Marketing agreement, Tag (General terms, Behavioral Data Hub, Data Modeling Hub): Can be used to filter and manage profiles, promotions, campaigns, and workflows and manage communication limits. Tag, The Synerise platform (General terms): The website where you access your workspace and Synerise features.The Synerise platform

FCM token

Learn more in the documentation

Related components: Experience Hub, Settings

FCM token migration

Learn more in the documentation

Related components: Settings, Experience Hub

Global Control Group

Learn more in the documentation

Related components: Experience Hub, Automation Hub, Settings

Item feed

Metadata catalog: Contains metadata such as images used for recommendations based on section pages and attribute models.
Supplemental catalog: Contains availability and price information about items per store or sales channel.

Learn more in the documentation

Related components: Settings, AI Hub, Experience Hub, AI Hub

Marketing agreement

A boolean-type profile attribute indicating the status of a marketing agreement. There are four types of marketing agreements, each corresponding to a communication channel: email, SMS, web push, and mobile push.

Learn more in the documentation

Related components: General terms, Experience Hub

Segment

It’s a subgroup in a segmentation. Each segment can have its own set of conditions. By using multiple segments, you can divide your profiles based on factors such as their average order value, the product categories they have visited, or how frequently they make purchases.

Learn more in the documentation

Related components: Decision Hub, Experience Hub

Segmentation

Segmentation is a method of organizing customers into distinct groups that share common characteristics. This can be done according to various criteria, including geographical factors (e.g., place of residence), demographic profiles (such as age, gender, occupation, or education), behavioral patterns (like website activity or purchase history), and psychographic traits (including interests, preferences, or opinions). By segmenting profiles, you can optimize promotions and customize content and communication channels to better align with each group’s unique preferences and needs.

Learn more in the documentation

Related components: Decision Hub, Experience Hub

See also: Profile (General terms, Behavioral Data Hub): The data of a person or objectProfile, Analysis (Decision Hub): An analysis refers to the objects a Synerise user can create in Decision Hub, such as dashboards, funnels, segmentations, metrics, histograms, reports, trends, geoanalyses, Sankey diagrams, aggregates, and expressions.Analysis, Synerise object (General terms): A generic term for entities such as analyses, templates, predictions, etc.Synerise object, Segment (Decision Hub, Experience Hub): It’s a subgroup in a segmentation.Segment

Template

There are the following template variants in Synerise:

A template is a re-usable layout for a message. You can modify it between campaigns to best suit your needs. To personalize the message for each customer and use variables and conditional logic, you can add Synerise Jinjava to the template. Some useful templates are automatically created in each workspace.
You can use workflow templates while using simple imports and exports - when selecting import or export through Automation, you are redirected to a template workflow which let you import/export the data.

Related components: General terms, Experience Hub, Automation Hub

Decision Hub

Action/Event name

Once an event definition is created - which many exist by default in all workspaces - the event name (action value) cannot be changed.

Learn more in the documentation

Related components: Data Modeling Hub, Decision Hub, Behavioral Data Hub, Automation Hub

Aggregate

An aggregate in Synerise is a summarized metric calculated from a selected event within a specified time range for a profile or an event, offering results like latest, first, average, sum, minimum, or maximum values.

There are two main types:

Profile aggregates: provide customer-specific insights and allow viewing results for individual profiles (for example, return the name of last purchased item).
Event aggregates: analyze event occurrences (for example, calculate recommendation revenue after the first click within 24 hours) and can be used as custom parameters in filters for complex analyses.

Aggregates are not only used for reporting but also enhance advanced features like AI recommendations and predictions. They enable a variety of use cases, from identifying customer preferences to creating sophisticated segmentations based on behavior. Aggregates help transform raw event data into actionable insights for personalized marketing and data-driven decision-making.

Learn more in the documentation

Related components: Decision Hub

Aggregator

An aggregator is a metric that summarizes event data within a selected time range by applying functions like Exists (checks if an event occurred), Sum (total value), Min (lowest value), Median (middle value), or Quantile (value dividing data into equal parts). It transforms raw event parameters into actionable metrics, useful for analyzing both individual profiles and aggregated datasets. For example, a median aggregator can help understand typical purchase amounts by identifying the middle spend value within a chosen period, while a quantile aggregator can reveal threshold values for statistical segments, such as the top 20% of spenders.

Learn more in the documentation

Related components: Decision Hub

See also: Metric (Decision Hub): An analysis type which lets you measure such indicators like revenue, the number of visitors on a website, conversion rates.Metric, Aggregate (Decision Hub): An aggregate is an analysis type that summarizes data from a selected event within a specified time range. When created for a profile, it functions as a dynamic attribute of a profile, providing concise and actionable insights based on event data.Aggregate

Analysis

An analysis in Synerise refers to the various objects you can create in Decision Hub to examine and interpret data. These objects include dashboards, funnels, segmentations, metrics, histograms, reports, trends, geoanalyses, Sankey diagrams, aggregates, and expressions. Analyses are built on events (specific actions taken by profiles or systems) and attributes (characteristics or properties related to those events or profiles).

You can limit an analysis to a specific time range, allowing you to focus on relevant periods for your business needs. Additionally, analyses can be performed in the context of a specific profile, for example, a customer profile enabling businesses to gain insights at an individual or group level.

By using these analysis tools, you can better understand customer behavior, track performance trends, identify bottlenecks in funnels, segment your audience for targeted marketing, and make data-driven decisions. This leads to improved personalization, optimized marketing strategies, enhanced customer experiences, and ultimately, increased efficiency and revenue growth.

Learn more in the documentation

Related components: Decision Hub

See also: Synerise object (General terms): A generic term for entities such as analyses, templates, predictions, etc.Synerise object, Metric (Decision Hub): An analysis type which lets you measure such indicators like revenue, the number of visitors on a website, conversion rates.Metric, Aggregate (Decision Hub): An aggregate is an analysis type that summarizes data from a selected event within a specified time range. When created for a profile, it functions as a dynamic attribute of a profile, providing concise and actionable insights based on event data.Aggregate, Expression (Decision Hub): A formula combining multiple attributes to create derived attributes for customers or events, used to further specify profiles or events within Synerise.Expression, Segmentation (Decision Hub, Experience Hub): An analysis that lets you group profiles based on shared characteristicsSegmentation, Trend (Decision Hub): An analysis type that lets you present event occurrences over time on a chartTrend, Report (Decision Hub): Reports organize your data into grid tables, enabling rapid analysis of customer behavior and quick insight generation.Report, Filter (Decision Hub): A funnel—a sequence of one or more conditions—that selects profiles by attributes, events, or other analyses used across the Synerise platform.Filter, Event (Data Modeling Hub, AI Hub, Decision Hub, Automation Hub, Behavioral Data Hub, AI Hub, Experience Hub, Settings): An event is a profile or system activity tracked in Synerise, such as website visits, product interactions, or message sending. Event, Attribute (Data Modeling Hub, Behavioral Data Hub, Decision Hub, Experience Hub, AI Hub): Attributes in Synerise are data points describing profiles, products, events, or other entities.Attribute

Analytics

The former name for Decision Hub

Related components: Decision Hub

See also: Decision Hub (Decision Hub): This is the name of the component in the Synerise platform in which you can create dashboards, funnels, segmentations, metrics, histograms, reports, trends, geoanalyses, Sankey diagrams, aggregates, and expressions.Decision Hub

Attribute

build highly precise customer segmentations,
apply filters in recommendations (for example, only show products in stock or within a price range),
narrow down AI Search results (for example, only dresses in size M),
define conditions in automation workflows (for example, send a discount only to customers tagged as “VIP”).

Learn more in the documentation

Related components: Data Modeling Hub, Behavioral Data Hub, Decision Hub, Experience Hub, AI Hub

Decision Hub

Decision Hub is a suite of tools and reports that measure customer interactions, engagement rates, and the effectiveness of marketing messages. It provides data-driven insights that support informed decision-making and strategy refinement.

Learn more in the documentation

Related components: Decision Hub

Dimension

In Synerise, reports are created using data from metrics. You start by selecting a metric, then choose its dimensions—such as event parameters from the event associated with that metric. These selected parameters (for example, location, payment types, quantity) become the dimensions (columns) in the report.

Learn more in the documentation

Related components: Decision Hub

See also: Report (Decision Hub): Reports organize your data into grid tables, enabling rapid analysis of customer behavior and quick insight generation.Report, Metric (Decision Hub): An analysis type which lets you measure such indicators like revenue, the number of visitors on a website, conversion rates.Metric, Event (Data Modeling Hub, AI Hub, Decision Hub, Automation Hub, Behavioral Data Hub, AI Hub, Experience Hub, Settings): An event is a profile or system activity tracked in Synerise, such as website visits, product interactions, or message sending. Event, Event parameters (Data Modeling Hub, Decision Hub): Additional pieces of information about an activity the event describes.Event parameters

Dynamic key

A dynamic key is a condition value in Synerise that can be changed at the time an analysis or filter is requested. It allows you to create flexible analyses or dashboards where the key’s value is not fixed but can be defined dynamically, for example, to analyze different items, customers, campaigns, or products without rebuilding the analysis each time. Dynamic keys enable interactive dashboards where users can input values manually, and support automation workflows by dynamically comparing event or profile data against changing criteria.

Learn more in the documentation

Related components: Decision Hub

Event

Learn more in the documentation

Related components: Data Modeling Hub, AI Hub, Decision Hub, Automation Hub, Behavioral Data Hub, AI Hub, Experience Hub, Settings

Event parameters

Learn more in the documentation

Related components: Data Modeling Hub, Decision Hub

See also: Event (Data Modeling Hub, AI Hub, Decision Hub, Automation Hub, Behavioral Data Hub, AI Hub, Experience Hub, Settings): An event is a profile or system activity tracked in Synerise, such as website visits, product interactions, or message sending. Event, Action/Event name (Data Modeling Hub, Decision Hub, Behavioral Data Hub, Automation Hub): The system name of an event, for example page.visitAction/Event name, Custom events (Data Modeling Hub, Settings): Events you created for integration purposes and that do not exist in the default event reference.Custom events, Event enrichment (Data Modeling Hub): Process of automatically adding data from a catalog to recorded events in the Synerise platform.Event enrichment, Event reference (Data Modeling Hub): List of events and their parameters that are generated automatically after implementing a tracking code.Event reference, Filter (Decision Hub): A funnel—a sequence of one or more conditions—that selects profiles by attributes, events, or other analyses used across the Synerise platform.Filter

Expression

An expression is a customizable calculation that combines attributes, aggregates, and functions into a single computed value. Rather than being stored as actual attributes, expressions behave like ones — they can be used in filters and segmentation across the Synerise platform just as regular customer or event attributes can. Expressions extend your data model on the fly by computing new values from existing data. Depending on where they are applied, they behave as customer attributes (when built on customer data) or event attributes (when built on event data).

Learn more in the documentation

Related components: Decision Hub

See also: Attribute (Data Modeling Hub, Behavioral Data Hub, Decision Hub, Experience Hub, AI Hub): Attributes in Synerise are data points describing profiles, products, events, or other entities.Attribute, Event (Data Modeling Hub, AI Hub, Decision Hub, Automation Hub, Behavioral Data Hub, AI Hub, Experience Hub, Settings): An event is a profile or system activity tracked in Synerise, such as website visits, product interactions, or message sending. Event, Synerise object (General terms): A generic term for entities such as analyses, templates, predictions, etc.Synerise object

Filter

A filter is effectively a funnel, a specialized feature available in Decision Hub, designed to capture profiles based on a sequence of one or more conditions related to profile attributes or performed events. These conditions can be combined with logical operators (AND, OR) and constrained by time windows. Filters can represent simple single-event conditions or complex funnels with ordered event sequences and time limits.

Learn more in the documentation

Related components: Decision Hub

See also: Profile (General terms, Behavioral Data Hub): The data of a person or objectProfile, Analysis (Decision Hub): An analysis refers to the objects a Synerise user can create in Decision Hub, such as dashboards, funnels, segmentations, metrics, histograms, reports, trends, geoanalyses, Sankey diagrams, aggregates, and expressions.Analysis, Event (Data Modeling Hub, AI Hub, Decision Hub, Automation Hub, Behavioral Data Hub, AI Hub, Experience Hub, Settings): An event is a profile or system activity tracked in Synerise, such as website visits, product interactions, or message sending. Event, Attribute (Data Modeling Hub, Behavioral Data Hub, Decision Hub, Experience Hub, AI Hub): Attributes in Synerise are data points describing profiles, products, events, or other entities.Attribute

Metric

A metric is a product in Decision Hub representing numbers calculated from your data for use in dashboards and reports. Metrics quantify important business indicators such as total revenue, unique visitors, buyers, conversion rates, or revenue per visitor to help track and understand business performance within a given period. Metrics can be created in two ways:

Simple metrics, which analyze single event types or customer attributes by aggregating event counts, sums, averages, medians, quantiles, minimums, maximums, or occurrence times.
Formula metrics, which use mathematical operations combining multiple event types and customer attributes to generate results.

Learn more in the documentation

Related components: Decision Hub

See also: Report (Decision Hub): Reports organize your data into grid tables, enabling rapid analysis of customer behavior and quick insight generation.Report, Metric (Decision Hub): An analysis type which lets you measure such indicators like revenue, the number of visitors on a website, conversion rates.Metric, Dimension (Decision Hub): An attribute or event parameter used to group and segment data in reports.Dimension, Analysis (Decision Hub): An analysis refers to the objects a Synerise user can create in Decision Hub, such as dashboards, funnels, segmentations, metrics, histograms, reports, trends, geoanalyses, Sankey diagrams, aggregates, and expressions.Analysis

Operators/Logical operators

Operators are the building blocks of analyses and filters. They let you apply logical or mathematical tests to event parameters, profile attributes, and results of other analyses. For example, you can use the = operator to check if two values are identical.

Learn more in the documentation

Related components: Decision Hub

Report

A report is a visual representation of data derived from metrics. Parameters analyzed in metrics—such as event parameters, customer attributes, or expressions—can be displayed as dimensions within a report. Reports can be presented as bar charts, line charts, or tables, often highlighting key values like the top or most recent items (for example, top 10 products added to cart or last 5 products purchased).

Learn more in the documentation

Related components: Decision Hub

See also: Metric (Decision Hub): An analysis type which lets you measure such indicators like revenue, the number of visitors on a website, conversion rates.Metric, Dimension (Decision Hub): An attribute or event parameter used to group and segment data in reports.Dimension, Operators/Logical operators (Decision Hub): Used to build analysis and filter conditionsOperators/Logical operators, Event parameters (Data Modeling Hub, Decision Hub): Additional pieces of information about an activity the event describes.Event parameters, Filter (Decision Hub): A funnel—a sequence of one or more conditions—that selects profiles by attributes, events, or other analyses used across the Synerise platform.Filter, Analysis (Decision Hub): An analysis refers to the objects a Synerise user can create in Decision Hub, such as dashboards, funnels, segmentations, metrics, histograms, reports, trends, geoanalyses, Sankey diagrams, aggregates, and expressions.Analysis, Synerise object (General terms): A generic term for entities such as analyses, templates, predictions, etc.Synerise object

Segment

Learn more in the documentation

Related components: Decision Hub, Experience Hub

Segmentation

Learn more in the documentation

Related components: Decision Hub, Experience Hub

Trend

A feature in Decision Hub. It’s an analysis type that lets you present event occurrences over time on a chart. It allows you to check the results of events you track and predict their direction. With this knowledge, you can undertake the appropriate business activities.

Learn more in the documentation

Related components: Decision Hub

Behavioral Data Hub

Action/Event name

Once an event definition is created - which many exist by default in all workspaces - the event name (action value) cannot be changed.

Learn more in the documentation

Related components: Data Modeling Hub, Decision Hub, Behavioral Data Hub, Automation Hub

Attribute

build highly precise customer segmentations,
apply filters in recommendations (for example, only show products in stock or within a price range),
narrow down AI Search results (for example, only dresses in size M),
define conditions in automation workflows (for example, send a discount only to customers tagged as “VIP”).

Learn more in the documentation

Related components: Data Modeling Hub, Behavioral Data Hub, Decision Hub, Experience Hub, AI Hub

Event

Learn more in the documentation

Related components: Data Modeling Hub, AI Hub, Decision Hub, Automation Hub, Behavioral Data Hub, AI Hub, Experience Hub, Settings

Non-unique emails

Learn more in the documentation

Related components: General terms, Settings, Behavioral Data Hub

Profile

A profile is the database entry of a unique entity, usually a customer. The profile stores the activity (events) and attributes (for example, email address) of the entity. It is the subject of analysis (such as funnels or segmentations) and the target of communication campaigns. A profile is NOT the same as a customer account, but they are closely related.

Related components: General terms, Behavioral Data Hub

A collection of information about a profile available in the Behavioral Data Hub. It contains a history of a profile activity (events), assigned attributes and identifiers.

Learn more in the documentation

Related components: General terms, Behavioral Data Hub

See also: Profile (General terms, Behavioral Data Hub): The data of a person or objectProfile, Event (Data Modeling Hub, AI Hub, Decision Hub, Automation Hub, Behavioral Data Hub, AI Hub, Experience Hub, Settings): An event is a profile or system activity tracked in Synerise, such as website visits, product interactions, or message sending. Event, Attribute (Data Modeling Hub, Behavioral Data Hub, Decision Hub, Experience Hub, AI Hub): Attributes in Synerise are data points describing profiles, products, events, or other entities.Attribute, Marketing agreement (General terms, Experience Hub): A profile attribute which contains a status of marketing agreement. Marketing agreement

Profile identifiers

A profile has the following identifiers:

ID: unique, generated automatically when the profile is created and cannot be changed
UUID: unique, commonly used to identify a profile between devices and sessions. May change; and you can check a profile’s previous UUIDs.
custom ID (optional): an ID from a voucher pool or assigned by a third-party system. May be unique depending on the configuration.
email (optional): the email address of a profile. If non-unique emails are enabled, the email is no longer an identifier.
phone: (optional): a phone number. In some API requests, it may be used as an identifier when no other identifier is provided.

Related components: General terms, Behavioral Data Hub

See also: Profile (General terms, Behavioral Data Hub): The data of a person or objectProfile, UUID (General terms): A random identifier of a resource, used widely in Synerise and other systemsUUID, ID (General terms): Unchangable identifier of a profile assigned in the moment of adding it to the databaseID, Custom ID (General terms): A profile attribute used for recognizing a profile in API clients (applicable when a workspace uses non-unique email addresses).Custom ID, custom_identify (General terms): A profile attribute that used for recognizing a profile in Synerise JS SDK (applicable when a workspace uses non-unique email addresses).custom_identify, Non-unique emails (General terms, Settings, Behavioral Data Hub): A configuration in which the custom ID replaces email as the unique identifier of a profile.Non-unique emails

General terms

API reference

The API reference for Synerise is comprehensive documentation describing available endpoints, request and response formats, authentication methods, and examples. It guides developers on integrating external systems with Synerise via RESTful APIs.

Learn more in the documentation

Related components: General terms

See also: API key (Settings): A unique code used to authenticate application access.API key, JWT (Settings): (JSON Web Token) A compact, URL-safe token format used in Synerise API as a one method for authenticationJWT, Tracking code (Settings): A JavaScript code that enables integrating your website with SyneriseTracking code

Business profile

This term appears in the API (e.g., businessProfileId) and some authorization endpoints, where profile is included in the URL as a legacy reference to what is now called a workspace.

Learn more in the documentation

Related components: General terms

See also: Workspace (General terms, Settings): Your “virtual office” in Synerise, shared with other users from your business. May be part of a larger organization.Workspace

Component

A component is a group of related products organized together and accessible from the left-hand menu on the Synerise platform dashboard (for example, AI Hub, Experience Hub, and so on).

Related components: General terms

See also: The Synerise platform (General terms): The website where you access your workspace and Synerise features.The Synerise platform

Cookies

Cookies in the Synerise platform are small text files stored in a user’s browser by the Synerise JavaScript SDK to hold important customer data. These cookies help identify visitors, track their activity, manage sessions, and support marketing actions such as personalized recommendations and campaign effectiveness. Cookie expiration times vary; most user identification cookies expire after about 400 days by default but can be configured differently. Session cookies expire after 30 minutes and cannot be changed.

Cookies work alongside local storage keys and tracking methods to ensure seamless tracking of website visitors, event sending, and support for various advanced features such as dynamic content campaigns, form tracking, and web push notifications.

Proper cookie management is vital for accurate customer identification and data consistency across Synerise features. The Synerise SDK also supports configuration options like cookieExpiration to customize cookie lifetimes and advanced tracking code for more detailed visitor data control.

Learn more in the documentation

Related components: General terms

Custom ID

A profile attribute used for recognizing a profile in API clients (applicable when a workspace uses non-unique email addresses).

Learn more in the documentation

Related components: General terms

See also: custom_identify (General terms): A profile attribute that used for recognizing a profile in Synerise JS SDK (applicable when a workspace uses non-unique email addresses).custom_identify, Profile identifiers (General terms, Behavioral Data Hub): ID, UUID, custom ID, email, and phone number of a profile.Profile identifiers, Non-unique emails (General terms, Settings, Behavioral Data Hub): A configuration in which the custom ID replaces email as the unique identifier of a profile.Non-unique emails

custom_identify

A profile attribute that used for recognizing a profile in Synerise JS SDK (applicable when a workspace uses non-unique email addresses).

Learn more in the documentation

Related components: General terms

See also: Custom ID (General terms): A profile attribute used for recognizing a profile in API clients (applicable when a workspace uses non-unique email addresses).Custom ID, Profile identifiers (General terms, Behavioral Data Hub): ID, UUID, custom ID, email, and phone number of a profile.Profile identifiers, Non-unique emails (General terms, Settings, Behavioral Data Hub): A configuration in which the custom ID replaces email as the unique identifier of a profile.Non-unique emails

Customer

A profile in a workspace represents an entity whose data is recorded and stored, and towards which actions, analyses, and workflows are directed. Profiles can represent various types of entities, with the most common being customers—the end users of the system or service.

Related components: General terms

See also: Profile (General terms, Behavioral Data Hub): The data of a person or objectProfile

General availability

The feature is fully released and production-ready across all Synerise workspaces. It is covered by standard SLAs, fully documented, and supported through regular support channels. GA features are built to operate reliably at enterprise scale — across multi-brand environments, high-throughput communication workflows, and complex automation scenarios. Any future changes follow Synerise’s standard versioning and deprecation policies.

Related components: General terms

See also: Public Preview (General terms): Feature access status; the feature is available to all Synerise customers who choose to enable it within their workspace.Public Preview, Private Preview (General terms): Feature access status; the feature is available to a selected group of Synerise customers and strategic partners for early validation.Private Preview

ID

Unchangable identifier of a profile assigned in the moment of adding it to the database

Related components: General terms

See also: Profile identifiers (General terms, Behavioral Data Hub): ID, UUID, custom ID, email, and phone number of a profile.Profile identifiers

Item

An item is an individual product or service. Each item includes attributes such as name, price, description, SKU, and product-specific features. Items serve as fundamental elements for generating recommendations and marketing activities.

Related components: General terms

See also: Item feed (Settings, AI Hub, Experience Hub, AI Hub): A repository of product information generated as a result of AI engine configuration.Item feed, Attribute (Data Modeling Hub, Behavioral Data Hub, Decision Hub, Experience Hub, AI Hub): Attributes in Synerise are data points describing profiles, products, events, or other entities.Attribute

Mapping

Mapping in Synerise is the process of linking and aligning external data attributes with Synerise’s internal data structure. It is primarily used while importing to ensure data consistency. This feature is available in sections where you configure data imports or synchronize external systems. Proper mapping guarantees that imported data fits seamlessly into Synerise’s environment.

Related components: General terms

See also: Import (Data Modeling Hub, Automation Hub): A process of bringing data to SyneriseImport

Marketing agreement

Learn more in the documentation

Related components: General terms, Experience Hub

Mobile SDK

A software development kit provided by Synerise that enables developers to integrate Synerise’s AI-powered marketing, analytics features, and customer engagement features into mobile applications, supporting platforms like iOS and Android for enhanced personalized user experiences.

Learn more in the documentation

Related components: General terms

Non-unique emails

Learn more in the documentation

Related components: General terms, Settings, Behavioral Data Hub

Private Preview

The feature is available to a select group of Synerise customers and strategic partners for early validation. Access is granted by invitation and typically involves close collaboration with the Synerise product team. The feature may have limited scope, evolving APIs, and workspace-specific constraints. It is not recommended for production traffic or mission-critical workflows. Feedback from participants directly influences the feature’s roadmap and final design.

Related components: General terms

See also: Public Preview (General terms): Feature access status; the feature is available to all Synerise customers who choose to enable it within their workspace.Public Preview

Profile

Related components: General terms, Behavioral Data Hub

A collection of information about a profile available in the Behavioral Data Hub. It contains a history of a profile activity (events), assigned attributes and identifiers.

Learn more in the documentation

Related components: General terms, Behavioral Data Hub

See also: Profile (General terms, Behavioral Data Hub): The data of a person or objectProfile, Event (Data Modeling Hub, AI Hub, Decision Hub, Automation Hub, Behavioral Data Hub, AI Hub, Experience Hub, Settings): An event is a profile or system activity tracked in Synerise, such as website visits, product interactions, or message sending. Event, Attribute (Data Modeling Hub, Behavioral Data Hub, Decision Hub, Experience Hub, AI Hub): Attributes in Synerise are data points describing profiles, products, events, or other entities.Attribute, Marketing agreement (General terms, Experience Hub): A profile attribute which contains a status of marketing agreement. Marketing agreement

Profile identifiers

A profile has the following identifiers:

ID: unique, generated automatically when the profile is created and cannot be changed
UUID: unique, commonly used to identify a profile between devices and sessions. May change; and you can check a profile’s previous UUIDs.
custom ID (optional): an ID from a voucher pool or assigned by a third-party system. May be unique depending on the configuration.
email (optional): the email address of a profile. If non-unique emails are enabled, the email is no longer an identifier.
phone: (optional): a phone number. In some API requests, it may be used as an identifier when no other identifier is provided.

Related components: General terms, Behavioral Data Hub

Public Preview

The feature is available to all Synerise customers who choose to enable it within their workspace. While functional and increasingly stable, it is still being refined based on real-world usage across diverse configurations — including multi-brand setups, high-volume catalogs, and cross-market deployments. SLAs do not apply, and behavior or configuration options may change before final release. Public Preview is suitable for testing, proof-of-concept projects, and non-critical use cases. Customer feedback remains a key input during this stage.

Related components: General terms

See also: Private Preview (General terms): Feature access status; the feature is available to a selected group of Synerise customers and strategic partners for early validation.Private Preview

Retention

Retention is the number of days an event is stored in the database. After this period, it’s deleted and can’t be used for analysis. Some events are stored infinitely.The retention period is defined separately for each event type (action) and may vary between workspaces, depending on your business agreements with Synerise. The default values are listed in the Event reference. Custom events have a default retention of 30 days.

Related components: General terms

SKU

An SKU (Stock Keeping Unit) is a unique identifier of an item in your inventory. It can also be used as the unique ID of the item when you save it in the Synerise catalog which stores your item feed.

Related components: General terms

See also: Item (General terms): A single product defined in an item feedItem, Item feed (Settings, AI Hub, Experience Hub, AI Hub): A repository of product information generated as a result of AI engine configuration.Item feed

Synerise Jinjava

A customized Java-based templating engine derived from Jinjava (the Java port of Python’s Jinja). It incorporates Synerise-specific tags, filters, and feature modifications—such as security-related restrictions and fixes for inconsistencies—to better fit the Synerise platform’s requirements, offering a tailored solution rather than a full Jinjava implementation.

Learn more in the documentation

Related components: General terms

Synerise object

Synerise objects is a generic term for: analyses, workflows, inserts, campaigns, recommendations, catalogs, predictions, and other entities which can be referenced, re-used and embedded in a variety of ways in Synerise. Many objects can also be copied between workspaces.

Related components: General terms

See also: Analysis (Decision Hub): An analysis refers to the objects a Synerise user can create in Decision Hub, such as dashboards, funnels, segmentations, metrics, histograms, reports, trends, geoanalyses, Sankey diagrams, aggregates, and expressions.Analysis, Metric (Decision Hub): An analysis type which lets you measure such indicators like revenue, the number of visitors on a website, conversion rates.Metric, Segmentation (Decision Hub, Experience Hub): An analysis that lets you group profiles based on shared characteristicsSegmentation, Report (Decision Hub): Reports organize your data into grid tables, enabling rapid analysis of customer behavior and quick insight generation.Report, AI Recommendations (AI Hub): AI Recommendations are automated, personalized product suggestions generated by Synerise’s AI engine to boost user engagement and conversion across multiple channels.AI Recommendations

Template

There are the following template variants in Synerise:

A template is a re-usable layout for a message. You can modify it between campaigns to best suit your needs. To personalize the message for each customer and use variables and conditional logic, you can add Synerise Jinjava to the template. Some useful templates are automatically created in each workspace.
You can use workflow templates while using simple imports and exports - when selecting import or export through Automation, you are redirected to a template workflow which let you import/export the data.

Related components: General terms, Experience Hub, Automation Hub

The Synerise platform

The Synerise Platform is the website where you work with Synerise. It allows you to enter workspaces where you have access and use features allowed by your role. The address of the Platform depends on where your workspace is hosted:

https://app.azu.synerise.com - Microsoft Azure USA deployments
https://app.geb.synerise.com - Google Cloud deployments
https://app.synerise.com - Microsoft Azure EU deployments

Related components: General terms

User

A person who uses the Synerise Platform. Each user has their own account in Synerise, and may have access to multiple workspaces. Within each, the user’s access to features is managed by roles and permissions.

Related components: General terms

See also: Workspace (General terms, Settings): Your “virtual office” in Synerise, shared with other users from your business. May be part of a larger organization.Workspace, Component (General terms): A component is a group of related products organized together and accessible from the left-hand menu on the Synerise platform dashboard (for example, AI Hub, Experience Hub, and so on).Component

UUID

A random identifier of a resource. In Synerise, you can encounter UUIDs in profiles, events, campaigns, and many other places; and use in a number of different ways. To learn about the details, check the documentation of the element you’re interested in.

Related components: General terms

Workspace

Learn more in the documentation

Related components: General terms, Settings