Learn marketing terminology


AI Content Creation

Leveraging AI tools to generate content for marketing purposes, including social media posts, blog entries, and online ads, tailored to the preferences of different audience segments.

Audience Segmentation

The use of AI to divide a market into subgroups based on defined criteria such as behaviors, demographics, or psychographics to tailor marketing strategies more precisely.

Ad Targeting

Using AI to analyze consumer behavior and automatically target ads to users based on their preferences, search history, and other behavioral data.

Artificial Intelligence

Artificial intelligence encompasses the branch of computer science that equips machines to perform tasks that would typically require human intelligence, such as learning, seeing, talking, reasoning, or solving problems.


An algorithm is essentially a formula that defines the relationship between variables. In machine learning, algorithms enable models to make predictions based on the data they process. Algorithms on social media platforms tailor content for users based on their previous interactions, predicting what they might prefer.


AOV stands for Average Order Value, which is a metric used in e-commerce to measure the average dollar amount spent by customers during a transaction. It's calculated by dividing the total revenue by the number of orders.


API stands for Application Programming Interface. It is a set of rules and protocols that allows different software applications to communicate with each other. An API defines the way in which a developer can request services from an application and how the application should respond to those requests.


Brand Safety

Ensuring a brand’s advertisements do not appear in a harmful or inappropriate context.

Brand Protection

Strategies implemented to safeguard a brand’s intellectual property and reputation.

Brand Monitoring

The process of tracking and analyzing brand mentions across various media.

Brand Consistency

The practice of ensuring all company marketing materials maintain a uniform appearance and message.

Brand Compliance

Ensuring all marketing materials meet established brand guidelines and legal requirements.

Brand Sentiment Analysis

AI-powered analysis of how people feel about a brand based on data from social media, reviews, and other online sources, helping marketers adjust strategies accordingly.

Bid Optimization

AI algorithms that automatically adjust bidding strategies in real-time advertising auctions to maximize the return on ad spend.

Behavioral Analytics

Using AI to study consumer behaviors through data collected via interactions, enabling marketers to predict future behaviors and personalize offers.

Big Data

Large, complex data sets that AI analyzes to extract consumer insights, trends, and patterns, crucial for informed decision-making in marketing.


Automated software that handles tasks like communicating with users through chat interfaces, enhancing customer service, and streamlining the lead generation process.


Creative Automation

 The use of technology and AI to automate and streamline creative processes in marketing.

Compliance Monitoring

The process of ensuring that a company’s marketing activities adhere to relevant laws and regulations.

Cognitive Computing

AI systems that mimic human thought processes in a computerized model, used to solve complex problems and enhance decision-making processes in marketing.

Click-Through Rate (CTR) Prediction

AI models that predict the likelihood of a user clicking on an ad, which helps in optimizing ad placements and content.

Content Curation

AI systems designed to help marketers find and present content related to specific topics or needs of their audience, enhancing engagement.

Customer Data Platform (CDP)

Integrated customer database managed by marketers that unifies a company's customer data from various sources to enable AI-driven analytics and decision making.

Conversational AI

AI that powers dialog systems, enabling human-like interactions between computers and humans, used in customer service and engagement.


Dynamic Creative Optimization (DCO)

An automated technology that creates personalized creatives and ads based on user data.

Deep Learning

A subset of machine learning involving neural networks with many layers, used in AI marketing to process large amounts of unstructured data like images and text.

Digital Twin

A virtual replica of a product, service, or process, used for simulating marketing scenarios and predicting outcomes before actual implementation.

Demand Forecasting

Using AI to predict future customer demand for products or services, which helps in planning and optimizing marketing efforts.

Dynamic Pricing

AI algorithms that adjust product prices in real-time based on demand, competition, and other market factors, often used in e-commerce.

Data Mining

The process of using AI to explore large data sets to discover patterns and anomalies, which can inform targeted marketing strategies.


Experience Personalization

AI's role in creating tailored customer experiences across various digital platforms by analyzing individual preferences and behaviors.

Email Automation

Using AI to manage and personalize email campaigns based on user behaviors and preferences, improving engagement and conversion rates.

Event-Triggered Marketing

AI systems that automatically send messages or deploy marketing tactics based on specific actions taken by users, enhancing relevance and timeliness.

Ethical AI

Guidelines and practices that govern the ethical use of AI in marketing, ensuring transparency, fairness, and respect for user privacy.

Engagement Metrics

AI tools analyze these metrics, like clicks, likes, and shares, to gauge how audiences interact with content and refine marketing strategies.


Fraud Detection

AI systems designed to identify fraudulent activities, such as fake transactions or scam attempts, protecting both the business and its customers.

Feedback Loops

Mechanisms in AI systems that iteratively adjust algorithms based on their output, which is crucial for refining marketing strategies and machine learning models.

Forecasting Models

AI techniques that predict future trends in market behavior or consumer preferences based on historical data analysis.

Feature Engineering

The process of using domain knowledge to select, modify, or create new features from raw data that make machine learning algorithms work effectively in predictive models.

Facial Recognition

AI technology that identifies individuals in images or videos, often used in personalized marketing and security systems in retail.


Growth Hacking

Rapid experimentation across marketing channels and product development to identify the most effective, efficient ways to grow a business, often aided by AI insights.

Granular Targeting

Using AI to divide audience segments into smaller, highly specific groups based on detailed attributes, enabling hyper-targeted marketing campaigns.

Graph Analytics

The application of network theory to analyze relational data, which helps in understanding customer relationships and influences for better marketing strategies


The use of AI to deliver content or advertisements to consumers based on their geographic location, enhancing relevance and effectiveness.

Generative Adversarial Networks (GANs)

AI framework consisting of two neural networks, one generating candidates and the other evaluating them, used in creating realistic marketing content, like images or video.


High-Frequency Data

Data that updates very frequently, such as real-time bidding data in digital advertising, where AI is essential for processing and reacting to such information promptly.

Hybrid Models

Combining several different AI models or approaches to capitalize on their strengths and minimize weaknesses in predictive analytics and decision-making.

Heat Maps

Visual tools that use colors to represent data values in two dimensions; AI analyzes user behavior on websites to create these maps, indicating where users most frequently click, look, or scroll.

Heuristic Analysis

AI-driven process to quickly solve problems that are too large for exact computation, particularly useful in strategic marketing decisions.


Advanced use of AI to tailor products, services, and marketing communications to individual customers' needs and preferences at a very detailed level.


Inventory Optimization:

AI applications that predict inventory needs and optimize stock levels based on trends and consumer demand forecasts.

Influencer Analytics

AI tools that analyze the performance and reach of social media influencers, aiding marketers in selecting the right influencers for their campaigns.

Interactive Content

Content that allows users to engage actively with it, such as quizzes or polls, where AI can personalize experiences based on user interactions.

Intent Recognition

AI’s ability to determine the intent behind a user’s actions or spoken/written words, enhancing communication in chatbots and customer service applications.

Image Recognition

AI technology that identifies objects, places, people, and other elements within images, used in marketing to offer targeted content and improve customer interaction.


Judgment Analysis

AI techniques that analyze qualitative data, such as customer opinions or reviews, to make informed decisions and refine product offerings.

JavaScript Object Notation (JSON)

A lightweight data-interchange format that AI uses to exchange data between server and web applications, integral in web-based marketing tools.

Just-in-Time Marketing

Leveraging AI to deliver marketing messages at just the right time based on real-time data, improving the chances of conversion.

Job Automation

Utilizing AI to automate routine marketing tasks such as data entry, scheduling posts, and analyzing basic analytics, freeing up human marketers for complex strategies.

Journey Mapping

AI's role in creating detailed maps of the customer journey, identifying all touchpoints where customers interact with the brand, which helps in optimizing marketing strategies.


Kinetic Email

Emails that contain interactive elements such as buttons, collapsible menus, or animations, which AI personalizes based on user data to enhance engagement.

K-means Clustering

A type of unsupervised learning algorithm used by AI for customer segmentation, grouping similar data points together to target marketing efforts more effectively.

KPI Monitoring

Using AI to continuously track and analyze Key Performance Indicators to gauge the effectiveness of marketing campaigns.

Knowledge Graphs

AI-driven graphs that connect data items in a semantic context, useful in understanding relationships and facts about products, services, and customers for better marketing.

Keyword Optimization

The use of AI to analyze and select keywords that maximize the visibility of online content in search engine results.


Lifecycle Marketing

AI's role in managing customer relationships at different stages of the customer lifecycle, from awareness through purchase and beyond, personalizing communications and offers.

Latent Semantic Analysis (LSA)

An AI-driven technique used to analyze relationships between a set of documents and the terms they contain by producing a set of concepts related to the documents and terms.

Lookalike Modeling

AI techniques that identify new prospects who resemble the marketer's best existing customers, extending campaign reach with higher precision.

Language Processing

The capability of AI to process and analyze large amounts of natural language data, improving interactions and understanding in customer communications.

Lead Scoring

AI models that rank prospects against a scale that represents the perceived value each lead represents to the organization, helping prioritize follow-up based on likelihood to convert.


Metadata Analysis

AI’s examination of data about data (metadata) to help organize and find data resources, particularly useful in digital asset management and optimization in marketing.

Mobile Optimization

The process of adjusting marketing content and strategies to deliver an optimal experience on mobile devices, with AI helping to personalize content and understand mobile user behavior.

Multivariate Testing

A method used in marketing to test multiple variables simultaneously to determine the best combination of elements in a campaign, often optimized with AI to analyze results more efficiently.

Marketing Automation

The use of AI-driven software to automate marketing actions such as emails, social media posting, and ad campaigns, allowing marketers to achieve more with less manual effort.

Machine Learning

A subset of AI that involves training algorithms to learn from and make predictions based on data, without being explicitly programmed. In marketing, it’s used for tasks like predictive analytics and customer segmentation.


Next Best Action

An AI-driven marketing strategy that uses customer data to predict the most appropriate next step in the customer journey, enhancing personalized customer experiences.

Narrative Analytics

AI-driven analysis that seeks to understand and interpret the stories and ideas circulating about a brand across various media, providing insights into brand perception.

Net Promoter Score (NPS)

An index ranging from -100 to 100 that measures the willingness of customers to recommend a company's products or services to others. AI can help analyze and improve NPS by identifying trends and predicting customer loyalty.

Neural Networks

A series of algorithms that endeavor to recognize underlying relationships in a set of data through a process that mimics the way the human brain operates. Neural networks are particularly useful in complex decision-making processes like customer behavior prediction.

Natural Language Processing (NLP)

A technology that allows for the interaction between computers and humans using natural language. It's used in marketing for tasks like sentiment analysis, customer service chatbots, and content recommendation.


Outlier Detection

AI techniques used to identify data points that differ significantly from other observations, which can be crucial for detecting fraud or anomalies in marketing data.

Object Recognition

A form of computer vision that involves identifying and labeling objects within images or videos. Used in marketing to enhance interactive customer experiences and content personalization.

Open Rate

The percentage of email recipients who open a given email. AI can optimize email marketing campaigns by predicting and improving open rates through timing and personalization.

Optimization Algorithms

Algorithms used in AI to determine optimal solutions from a set of possible solutions, commonly applied in resource allocation, inventory management, and marketing campaign adjustments.

Omnichannel Marketing

The practice of providing a seamless customer experience across all channels and devices, which AI enhances by integrating data and behaviors from all touchpoints to present unified campaigns.


Price Optimization

AI models that help determine the most appealing price points for products and services based on market demand, competition, customer behavior, and other external factors.

Pattern Recognition

The ability of AI to recognize patterns and regularities in data, which is used in marketing for segmentation, targeting, and anomaly detection.

Personalization Engines

AI systems that tailor content, recommendations, and experiences to individual users in real-time, based on their behaviors and preferences.

Programmatic Advertising

Automated buying and selling of online advertising, achieved through AI-driven systems that optimize the placement and bidding in real-time for advertising inventory.

Predictive Analytics

The use of data, statistical algorithms, and machine learning techniques to identify the likelihood of future outcomes based on historical data. It's a cornerstone of AI marketing for campaign planning and customer insights.


Quota Sampling

A sampling method where the sample has quotas set for various subgroups, which AI can optimize to ensure that samples accurately reflect the target population for marketing research.

Quantum Computing:

A revolutionary approach to computation that harnesses the phenomena of quantum mechanics. While still emerging, its potential to process information at unprecedented speeds could radically change AI marketing strategies.

Query Processing

AI's role in interpreting and understanding user queries in search engines or databases, optimizing marketing content to align with user intents and improve visibility.

Quality Score

In digital advertising, particularly PPC (pay-per-click), a metric that influences both ad placement and cost. AI optimizes ads to improve quality scores by enhancing relevance and landing page quality.

Quantitative Analysis

The use of mathematical and statistical modeling, measurement, and research to understand behavior. AI leverages quantitative analysis to optimize marketing strategies and forecast trends.


Response Modeling

AI models that predict customer responses or decisions, enhancing marketing strategies by focusing efforts on likely interested users.

Robotic Process Automation (RPA)

Software technology that makes it easy to build, deploy, and manage software robots that emulate human actions interacting with digital systems and software.


AI algorithms used to display ads to users who have previously visited a website or interacted with a product but did not make a purchase, aiming to bring them back.

Recommender Systems:

AI-driven systems that suggest products, services, and information to users based on analysis of data from similar preferences of other users or past behavior of the same user.

Real-time Analytics

The use of AI to process and analyze data as soon as it is available, allowing marketers to make immediate decisions based on current information.



AI's role in dividing a broad consumer or business market, normally consisting of existing and potential customers, into sub-groups of consumers based on some type of shared characteristics.

Social Media Monitoring

The use of AI to analyze conversations and trends on social media platforms to understand public opinion and manage brand reputation.

Search Engine Optimization (SEO)

Enhancing the visibility of a website in search engines through organic search results, often using AI to optimize keywords, content relevancy, and link-building strategies.

Sentiment Analysis

AI's ability to analyze online conversations and determine the emotional tone behind a series of words, used to gain insights into consumers’ attitudes toward brands or products.

Semantic Analysis

The use of AI to understand the meaning and interpretation of words in context, improving the relevance of content and ad targeting.


Trend Analysis

AI algorithms that analyze historical data to identify trends and predict future activities, events, or behaviors, allowing marketers to anticipate market movements.

Transactional Data

AI's analysis of data from every transaction to understand customer behavior and refine marketing tactics.


An open-source software library for machine learning, developed by Google to conduct machine learning and deep neural network research.


The use of AI to identify the segment of the population most likely to respond positively to specific marketing strategies, improving campaign effectiveness.

Text Analytics

The process of using AI to convert text into data for analysis, to discover meaningful patterns and insights, applied in market trends, customer preferences, and operational efficiency.


Utility Analysis

AI tools that assess the usefulness or value of different marketing actions or strategies, aimed at optimizing consumer satisfaction and profitability.

User Intent Recognition

AI's ability to decipher what a user intends to do based on their digital interaction, helping marketers to deliver a more personalized experience.


Using AI to analyze customer purchase history and behavioral data to suggest higher priced alternatives or enhancements to the current product or service being considered.

Unsupervised Learning

A type of machine learning algorithm used to draw inferences from datasets consisting of input data without labeled responses, commonly used in pattern detection and anomaly identification.

User Experience (UX) Design

AI's application in designing products and creating content that provides meaningful and relevant experiences to users, enhancing customer satisfaction and loyalty.


Viral Marketing

AI algorithms that predict and attempt to capitalize on the potential for marketing campaigns to be shared widely, typically through social media.

Value Prediction

AI's capability to predict the future value of a customer or a segment by analyzing data on past interactions, enhancing customer relationship management.

Virtual Assistant

AI-powered software agents that can perform tasks or services based on commands or questions from a user, frequently used in customer service and support.

Voice Search Optimization

Adapting content for better performance in voice search queries, using AI to understand and optimize for how people naturally speak.

Visual Recognition

AI technology that identifies objects, places, people, writing, and actions in images and videos, which can be used in interactive marketing campaigns.


Website Traffic Analysis

AI applications that examine the flow of visitors to a website, providing insights into user behavior, preferences, and pathways through the site.

Word-of-Mouth Influence

AI tools analyzing social media and communication patterns to identify and leverage key influencers who can drive brand advocacy effectively.

Web Personalization:

The use of AI to tailor web pages to individual users’ preferences, based on their past behavior, demographic data, and other personal cues.

Workflow Automation

AI's role in automating complex marketing processes, ensuring tasks are completed consistently and efficiently.

Web Scraping:

The use of AI to extract large amounts of data from websites, which can be analyzed for competitive analysis, market trends, and consumer behavior insights.


XML Sitemaps

AI tools generate XML sitemaps that help search engines find pages on a website and understand the site's structure, improving SEO performance.


Yield Optimization

AI optimizes how advertisements are allocated and priced, maximizing revenue for publishers and ad performance for advertisers.


Zero-touch Automation

AI automates marketing processes to the extent that human intervention is minimal, enhancing efficiency and reducing the possibility of error.

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Wave goodbye to Google Optimize. Say hello to Fibr, your new optimization ally!

Wave goodbye to Google Optimize. Say hello to Fibr, your new optimization ally!

Wave goodbye to Google Optimize. Say hello to Fibr, your new optimization ally!