The British Academy for Training and Development offers its specialized training program in Strategic Marketing Using Artificial Intelligence (AI), designed in response to the profound transformations in the marketing world amid the digital revolution and the rapid development of AI technologies.

This program focuses on enabling participants to effectively use AI tools and techniques to develop comprehensive marketing strategies, analyze consumer behavior, enhance customer experiences, and predict market trends, supporting data-driven decision-making.

By combining strategic insight with practical understanding of AI applications, the program empowers professionals to create more efficient and innovative marketing plans, achieving sustainable competitive advantages in contemporary markets.

Who Should Attend?

• Marketing managers and teams in large companies and institutions.

• Professionals in digital marketing and digital transformation.

• Consultants and entrepreneurs seeking smart marketing solutions.

• Individuals interested in integrating AI into marketing strategies.

Knowledge and Benefits:

After completing the program, participants will be able to master the following:

• Understand conceptual foundations for integrating AI into marketing strategies.

• Analyze big data using AI tools to make effective marketing decisions.

• Design intelligent, targeted marketing campaigns.

• Improve customer experience through interactive AI tools.

• Develop long-term marketing strategies supported by predictive and automated analytics.

• Understanding AI Fundamentals

  • Core concepts and terminology

  • Difference between AI and machine learning

  • Types of AI used in marketing

• The Role of AI in Marketing Transformation

  • Digitalization and changing consumer behavior

  • Integrating AI tools into the marketing ecosystem

  • Impact of AI on communication channels

• Big Data and Analytics

  • Sources of marketing data

  • AI-based analytics tools

  • Extracting consumer behavior patterns

• Data-Driven Decision Making

  • Supporting marketing decisions

  • Market trend and consumer analysis models

  • Proactive vs. reactive decision approaches

• Intelligent Marketing Automation Systems

  • Automated email campaigns

  • Setting up automated marketing scenarios

  • Managing customer lifecycle

• Content Personalization Using AI

  • Analyzing individual preferences

  • Product and service recommendations

  • Enhancing retargeting campaigns

• Tracking and Interpreting User Behavior

  • Using smart tracking technologies

  • Interaction modeling with content

  • Analyzing customer sentiment online

• Designing Personalized Customer Experiences

  • AI tools for customer support

  • Creating intelligent interactive interfaces

  • Understanding and improving customer journey stages

• Pricing Strategies Using AI

  • Dynamic pricing

  • Demand elasticity analysis

  • Predictive pricing tools

• Product Lifecycle Management

  • Forecasting product stages in the market

  • Timing promotional campaigns

  • Supporting new product development

• Predictive Models Using AI

  • Machine learning algorithms for prediction

  • Forecasting product demand

  • Analyzing seasonal patterns

• Optimizing Inventory Planning and Campaigns

  • Linking marketing with the supply chain

  • Reducing waste and improving efficiency

  • Supporting production decisions

• Optimizing Paid Advertising with AI

  • Accurate audience targeting

  • Real-time ad performance optimization

  • Dynamic display techniques

• Measuring and Analyzing Campaign Performance

  • Key performance indicators (KPIs)

  • ROI analytics

  • Smart and customized reporting

• Automated and Interactive Content Creation

  • AI-based content writing tools

  • Generating visual content using AI

  • Channel-specific content personalization

• Smart Content Distribution Strategies

  • Choosing effective channels

  • Smart publishing timing

  • Engaging audiences and analyzing results

• AI-Based Social Media Campaign Management

  • Social media management tools

  • Interaction and reach analysis

  • Identifying the most suitable influencers

• Trend and Social Insights Analysis

  • Tracking trending topics

  • Understanding digital audience behavior

  • Using analysis results to craft messages

• Building Strategic AI Marketing Plans

  • Linking marketing objectives with technology

  • Strategic planning support tools

  • Forecasting future marketing trends

• Integrating Marketing and Technology Teams

  • Establishing cross-functional teams

  • Enhancing internal communication

  • Effective use of shared data

• Data Privacy and Security

  • Protecting customer data

  • Complying with legal standards

  • Transparency in data usage

• Risks of Relying on AI

  • Algorithmic bias

  • Loss of human touch in marketing

  • Balancing automation with human interaction