Customer Data Platform (CDP)

A is for Activation: The process of taking insights and applying them to customer communications and marketing campaigns.

B is for Batch processing: A method of processing data in which a group of transactions is collected and processed together at once.

C is for Customer data platform (CDP): A software solution that enables marketers to collect, unify, and activate customer data from multiple sources.

D is for Data governance: The management of the availability, usability, integrity, and security of the data used in an organization.

E is for Event tracking: The collection and recording of user interactions with a website or application.

F is for Federated identity: A single sign-on (SSO) mechanism that enables users to access multiple applications or websites with a single set of credentials.

G is for Graph database: A database that uses graph structures to store, map, and query relationships between data.

H is for Householding: The process of grouping individuals into households based on shared addresses or other attributes.

I is for Identity resolution: The process of matching customer data from multiple sources to create a single, unified customer profile.

J is for Journey orchestration: The process of designing and automating customer journeys across multiple touchpoints.

K is for Key performance indicators (KPIs): Metrics used to measure the success of a marketing campaign or customer experience.

L is for Lookalike modeling: The process of identifying and targeting audiences that share similar characteristics to a company’s best customers.

M is for Machine learning: A type of artificial intelligence (AI) that enables software applications to learn from the data and become more accurate in predicting outcomes.

N is for Natural language processing (NLP): A type of AI that enables computers to understand and process human language.

O is for Onboarding: The process of importing and integrating customer data into a CDP.

P is for Predictive analytics: The use of statistical models and machine learning algorithms to analyze historical data and make predictions about future events.

Q is for Query builder: A tool that enables marketers to create custom queries and retrieve specific data from a CDP.

R is for Real-time personalization: The process of using real-time data to personalize content, messaging, and offers for individual customers.

S is for Single customer view: A comprehensive, unified view of a customer’s interactions and transactions with a company.

T is for Third-party data: Data obtained from external sources, such as data brokers, that can be used to enrich a company’s customer data.

U is for Unified data model: A standardized, consistent model for representing customer data across an organization.

V is for Voice of the customer (VoC): The process of capturing and analyzing customer feedback to improve customer experience and inform business decisions.

W is for Web personalization: The process of using website data to personalize content and messaging for individual visitors.

X is for XML: A markup language used to encode documents in a format that is both human-readable and machine-readable.

Y is for Yield management: The process of optimizing revenue by adjusting prices and inventory based on demand and market conditions.

Z is for Zero-party data: Data that is willingly and proactively shared by customers with a company, typically through surveys, preference centers, and other interactions.