Evolution Strategies

Definition Evolution Strategies (ES) in AI marketing refer to an optimization technique that utilizes principles of evolutionary biology such as mutation, selection, and recombination. It involves creating an initial random population of solutions or ‘individuals’, which evolve over time through these principles to find the most optimal solution. This strategy is particularly useful in dynamic […]

Expectation-Maximization (EM) Algorithm

Definition The Expectation-Maximization (EM) Algorithm in marketing AI is a statistical method used for finding the maximum likelihood estimates of parameters in probabilistic models, when the model depends on unseen latent variables. It’s an iterative process that begins with an initial guess of parameters and improves them over time, optimizing the likelihood that observed data […]

Evolutionary Algorithms

Definition Evolutionary Algorithms in marketing refer to AI-based programming techniques that mimic natural evolution processes to solve optimization problems. They employ principles of survival of the fittest and genetic combination to continually improve and refine solutions. Over many iterations, this AI tool seeks to find the most effective marketing strategies or optimal solutions. Key takeaway […]

Exploration-Exploitation Tradeoff

Definition The Exploration-Exploitation Tradeoff in AI marketing is a strategy in which marketers must balance between exploring new opportunities or exploiting existing ones. Exploration involves seeking out new, untested strategies for potential greater gains, while exploitation optimizes current resources or strategies to maximize immediate returns. The tradeoff lies in the fact that resources devoted to […]

Extreme Gradient Boosting (XGBoost)

Definition Extreme Gradient Boosting (XGBoost) is an advanced implementation of the gradient boosting algorithm, which uses machine learning (AI) to enhance its predictive accuracy. It creates an ensemble of weak prediction models, typically decision trees, to generate a final strong prediction model. XGBoost specifically addresses computational speed and model performance, making it a popular tool […]


Definition Elitism in AI marketing refers to a strategy where the finest solutions or data are preserved or prioritized. This is often used in the evolutionary computing process, where elite models or algorithms are maintained from one generation to the next. It helps in preventing the loss of good solutions and promotes optimal results in […]

Ensemble Learning

Definition Ensemble Learning in AI marketing refers to the strategy where multiple learning algorithms or models are used simultaneously to make a prediction. It enhances the prediction accuracy by aggregating the predictors’ outputs rather than relying on individual models’ predictions. Essentially, it reduces errors, bias, and variance in prediction while improving overall model stability. Key […]

Extracting Insights from Videos

Definition In marketing AI, “Extracting Insights from Videos” refers to the utilization of artificial intelligence to analyze video content. AI can identify patterns, detect objects, recognize behaviors, interpret emotions, and extract other valuable data from videos. This information can then be used to make data-driven decisions, enhance user engagement or develop targeted marketing strategies. Key […]

Evergreen Content Calendar

Definition An Evergreen Content Calendar in AI marketing refers to a detailed plan for creating and distributing content that stays relevant for an extended period, due to its timeless nature. It leverages AI to guide strategic decision-making in consistent content delivery. This system enhances content marketing effectiveness by ensuring a steady flow of fresh yet […]

Email Marketing Calendar

Definition An Email Marketing Calendar in the AI context refers to a strategic tool, often automated, that helps in planning, scheduling, and tracking all email marketing activities for specific periods. The AI component aids in optimizing this process by using data analytics and predictive models for personalized content, optimal send times, and response prediction. This […]