Marketing & Advertising Glossary

AI A/B testing uses machine learning to automate experiment design, analysis, and optimization of ad campaigns beyond traditional statistical methods.

Software powered by artificial intelligence designed to understand and respond to user requests, automate tasks, and provide intelligent recommendations.

AI bias occurs when machine learning models produce systematically prejudiced results against certain groups, often due to skewed training data.

An AI-powered software that simulates human conversation to engage customers, answer questions, and automate support interactions.

AI compliance ensures artificial intelligence systems in advertising meet legal, ethical, and industry standards while protecting consumer privacy.

AI content generation uses machine learning to automatically create marketing copy, visuals, and ad creatives at scale and speed.

AI copywriting uses machine learning algorithms to generate marketing copy, ad text, and content automatically, saving time and improving consistency.

AI email marketing uses machine learning to automate, personalise, and optimise email campaigns at scale for better engagement and ROI.

AI governance is the set of policies, processes, and controls organisations establish to manage artificial intelligence systems responsibly and compliantly.

AI hallucination occurs when artificial intelligence generates false, misleading, or fabricated information that appears plausible but isn't grounded in reality.

AI literacy is the ability to understand, evaluate, and effectively use artificial intelligence tools and concepts in marketing and business decisions.

Using artificial intelligence to deliver customised content, products, and experiences to individual users based on their behaviour, preferences, and data.

An AI SDK is a software toolkit that enables developers and marketers to integrate artificial intelligence capabilities into applications without building from scratch.

AI scheduling uses machine learning to automatically optimize when and where ads run for maximum performance and efficiency.

A unique code that grants secure access to an API, allowing your marketing tools to communicate and share data automatically.

A computational technique that allows AI models to focus on the most relevant parts of data when making predictions or decisions.

Automated reporting uses AI to generate marketing performance reports without manual data collection, saving time and improving accuracy.

Backpropagation is the algorithm that trains neural networks by calculating errors and adjusting weights to improve predictions.

A benchmark is a reference point or standard used to measure and compare the performance of AI campaigns, models, or strategies against historical data or industry averages.

CUDA is NVIDIA's parallel computing platform that accelerates AI and machine learning tasks used in programmatic advertising and audience targeting.

A prompting technique that encourages AI models to break down complex problems into sequential reasoning steps before providing answers.

Claude is an AI assistant created by Anthropic that helps marketers automate content creation, analyse data, and streamline campaign planning.

A graphics processor accessed remotely via the internet, enabling AI model training and data processing without expensive local hardware.

Real-time, one-to-one communication between brands and customers using chatbots, messaging apps, and live chat to guide purchasing decisions.

AI technology that automatically groups customers into distinct segments based on behavior, demographics, and preferences for targeted marketing.

Data labelling is the process of identifying and marking raw data to train AI models used in advertising targeting and optimization.

A collection of structured data used to train, test, and validate artificial intelligence models in advertising and marketing applications.

An AI technique that generates images by gradually removing noise from random data, used in creative advertising and content generation.

AI-powered technology that automatically tests and optimises ad creative elements in real-time to maximise campaign performance.

Edge AI processes data and runs machine learning models on devices or servers near the data source, rather than in the cloud.