Jargon Buster

Route data is known as a currency. There is a currency for each advertising medium (e.g. BARB for television). By creating a common measure of all formats equally, and giving a specific value to each, media space may be planned, traded, evaluated and reported based on the currency.

Using data to find out a customer’s specific interests and characteristics which could be used for future targeting. 

Customer relationship management is a technology or software used to manage the relationships and interactions that a company has with its customers. 

D.E.A.L. is a recommended approach for publishers to connect with ad blocking consumers through a step-by-step process implemented by the IAB:

• Detect ad blocking, in order to initiate a conversation
• Explain the value exchange that advertising enables
• Ask for changed behaviour in order to maintain an equitable exchange
• Lift restrictions or Limit access in response to consumer choice.

Online auction marketplace where advertisers acquire 3rd party data that helps them better reach their target audiences with display. Data exchanges were created as marketplaces where online data providers could sell their data directly to demand-side platforms (DSPs) and ad networks. Used by ad networks and DSPs. 

Platforms that allow advertisers, agencies, publishers and others to control their own first-party audience and campaign data, compare it to third-party audience data, and give the ability to make smarter media buying and campaign planning decisions via behavioural targeting or extending audiences via lookalike modeling.  Advertisers and agencies generally utilise DMPs in order to buy more effectively while publishers typically utilise DMPs in order to segment their audiences and sell more effectively.

Data minimisation refers to providing or restricting access to only the data that is absolutely necessary for performing a specific task or achieving a given outcome.

Also known as a deal identifier, is the unique number assigned to an automated ad buy.

A subset of machine learning that uses multi-layered neural networks to model complex patterns in large datasets.