BlueConic Basics Glossary

This resource defines key terms and concepts essential for effectively using the BlueConic Customer Data Platform (CDP). Understanding these terms will empower you to navigate the platform with confidence, personalize customer experiences, and ultimately maximize the value of your data. Whether you're a new user or a seasoned pro looking for a refresher, this glossary will serve as your go-to guide for all things BlueConic.

A/B testing is a process of comparing two versions of something (e.g., web page, email) to see which performs better. The BlueConic Advanced A/B testing notebook helps analyze how different versions of a dialogue perform.

Aggregated Data Manager (ADM) is a tool for multi-brand organizations to centralize and analyze first-party data from multiple sources. It allows for insights and modeling across different brands while maintaining individual data ownership.

Anonymous profiles are profiles without identifying information. Anonymous behaviors are tracked and merged with known profiles once identification occurs.

AI Workbench is a feature combining machine learning and profile data for analysis and insights. It allows building and training machine learning models to enrich profiles and support segmentation.

Batch is a process or connection running in scheduled sets or groups. BlueConic connections can run in batch mode or in real time.

Behavioral profile property is a customer attribute related to actions and interests. These properties track activity frequency, intensity, and momentum.

BlueConic ID is a unique identifier assigned to each profile in the platform.

Channelsare unique websites, interactions, applications, or accounts where online conversations with customers occur.

Connections are data integrations with other systems (e.g., marketing platforms, CRMs). They enable data import and export between BlueConic and other platforms.

Customer lifetime value (CLV) is a metric representing the total net profit from a customer. BlueConic provides a prebuilt model to calculate CLV.

Data sensitivity is a setting controlling access to data based on user roles (PII or non-PII).

Dialogues in BlueConic are online conversations with customers or visitors, triggered based on profiles or behaviors.

External trackers are data collectors that monitoring customer activity outside your domains (e.g., newsletter views, social media).

First-party data is consented customer data collected directly from interactions with your channels.

Groups in BlueConic are sets of profiles sharing a common attribute or property (e.g., households, accounts).

Hostnames are labels assigned to devices or channels communicating across the web. The BlueConic First-Party Hostname Console ensures first-party recognition of web content.

Interest ranking is the process of assigning potential interests to profiles based on their actions.

Known profiles are profiles containing identifying information.

Lifecycles in BlueConic are defined processes for orchestrating customer journeys across channels. Lifecycle orchestration is the one-to-one marketing based on customer journey stages.

Listeners in BlueConic are data collectors placed on channels to gather behavioral information.

Minimum viable data (MVD) is the essential customer data required for specific CDP use cases.

Notebooks are AI models written in Python and used for analysis and profile enrichment.

Objectives are configured goals used to manage privacy and consent actions within the platform.

Personally identifiable information (PII) is information that can potentially identify individuals.

Plugins are add-on functions extending platform features, including integrations with other systems.

Profile merging is the process of consolidating duplicate profiles into a single profile by setting up configured rules.

Profile origins are properties indicating where a customer first became a profile in BlueConic.

A profile property is a key/value pair storing customer information within a profile.

Progressive profiling is the act of enriching customer profiles over time through ongoing data collection.

Propensity to churn is a metric estimating the likelihood of customer churn. BlueConic provides a prebuilt notebook for churn prediction and analysis.

Real time refers to processes or connections running virtually instantaneously.

The BlueConic REST API is an interface for developers to build applications that can interact with the platform.

Second-party data is another entity's first-party data, often obtained through partnerships.

Segments in BlueConic are dynamic groups of profiles based on shared characteristics and profile property parameters.

A session is a period of consistent activity by a visitor, ending after 30 minutes of inactivity.

The BlueConic Simulator is a testing environment to imitate, in real-time, configured BlueConic behavior on web pages.

A tenant is a licensed instance of the BlueConic platform with a dedicated database.

Third-party data is data acquired from external sources, often used for targeting.

The BlueConic Timeline is a log that stores time-based events for a profile. Timeline events are time-based actions occurring for a profile (e.g., orders, email opens).

A touchpoint is a marketing interaction, typically used for assigning personalized communications to lifecycle stages.

The Unified profile is a single, centralized source of truth for all customer data.

A Unique identifier is a profile property distinctly recognizing a specific customer (e.g., email, customer ID).

User roles are permissions granting access to various platform functions.

Visits are periods of activity on a site running BlueConic, ending after 30 minutes of inactivity.