Knowledge Center

Understand Our Terminology 

Audience Rental: The process of allowing advertisers to rent or lease specific custom audiences from data holders for targeted marketing campaigns.

First Party Data: Data collected directly from individuals by a company or organization through their own interactions and relationships with customers.

Custom Audience: A specific segment of individuals who meet certain criteria, such as demographics, interests, or behaviors, that advertisers can target with their marketing campaigns.

Look-a-like Audience: An audience segment that shares similar characteristics, behaviors, or interests with an existing custom audience, allowing advertisers to expand their reach and target individuals who are likely to be interested in their products or services.

Data Scrubbing: The process of removing irrelevant or inaccurate data from a dataset to ensure its quality and reliability.

Engagement: The level of interaction, involvement, or response from an audience towards a marketing campaign, often measured through metrics such as likes, shares, comments, or click-through rates.

ROI (Return on Investment): A measure of the profitability or success of a marketing campaign, calculated by comparing the cost of the campaign to the revenue generated or other desired outcomes such as brand awareness or customer acquisition.

Ad Campaign: A coordinated set of advertising activities and messages designed to achieve specific marketing objectives within a defined period, often centered around a particular product, service, or brand.

Data Hub: A centralized platform or repository that aggregates and organizes data from multiple sources, enabling efficient management and analysis of audience data.

Targeting: The process of selecting and focusing on a specific group or segment of individuals who are more likely to be interested in or respond to a marketing message or advertisement.

Advertiser: A company or organization that pays for and creates advertisements to promote their products, services, or brand.

Data Analysis: The process of examining and evaluating data to uncover patterns, trends, and insights that can inform decision-making and optimize marketing strategies.

Marketing Strategy: A comprehensive plan that outlines the objectives, target audience, messaging, and tactics to promote a product, service, or brand and achieve specific marketing goals.

Data Privacy: The protection of individuals’ personal information and the responsible handling and safeguarding of data according to legal and ethical standards.

Data Monetization: The process of generating revenue from data assets, such as audience data, by providing access to it for targeted advertising or other purposes.