AI for Business Intelligence
03/11/2024AI for Supply Chain and Logistics Optimization
03/11/2024AI for Marketing and Sales Optimization
£4,500.00
Overview:
This course equips participants with cutting-edge AI tools and techniques to transform marketing and sales strategies. Covering essential applications like customer segmentation, personalized marketing, predictive sales forecasting, and AI-enhanced CRM, the program integrates the latest advancements in Generative AI, real-time personalization, and multi-channel optimization. By the end, participants will be able to implement AI-driven strategies to boost customer engagement, drive sales performance, and optimize marketing ROI.
Program Objectives:
At the end of this program, participants will be able to:
- Understand the transformative role of AI in modern marketing and sales.
- Apply AI for detailed customer segmentation and behavior-based targeting.
- Design and implement real-time, personalized marketing campaigns using AI.
- Use predictive analytics for accurate sales forecasting and demand planning.
- Enhance CRM with AI insights to improve customer engagement and retention.
- Automate marketing and sales workflows for improved efficiency and consistency.
- Measure and optimize marketing ROI using AI-driven analytics and performance metrics.
Target Audience:
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- Marketing Managers and Professionals
- Sales Managers and Executives
- Business Analysts and Data Scientists
- CRM Specialists and Customer Experience Managers
- Digital Marketing Strategists and Digital Content Creators
- IT Professionals Supporting Marketing and Sales Teams
Program Outline:
Day 1: Foundations of AI in Marketing and Sales
- Introduction to AI Applications in Marketing and Sales.
- AI’s Role in Modern Marketing and Sales Strategies – Use Cases and Industry Trends.
- Overview of Key AI Technologies for Customer Insights, Targeting, and Personalization.
- Case Studies: Successful AI Implementations in Marketing and Sales.
- Hands-On Exercise: Exploring AI Features in Marketing and CRM Platforms.
- Reflection & Review: Group Discussion on AI’s Transformative Impact in Marketing and Sales.
Day 2: AI-Driven Customer Segmentation and Targeting
- Foundations of Customer Segmentation and Behavior-Based Targeting.
- Using Machine Learning for Customer Segmentation – Clustering, RFM Analysis, and Propensity Modeling.
- Identifying High-Value Segments and Designing Targeted Marketing Campaigns.
- Tools and Techniques for Implementing AI-Based Segmentation in Real-Time.
- Hands-On Exercise: Building a Customer Segmentation Model in Power BI or Tableau.
- Reflection & Review: Evaluating the Effectiveness and Practical Applications of AI-Enhanced Segmentation.
Day 3: Personalized Marketing Campaigns with Generative AI and Real-Time Personalization
- Introduction to Generative AI for Marketing Content Creation (ad copy, email drafts, etc.).
- Personalizing Marketing Messages with AI – NLP, Product Recommendations, and Dynamic Content.
- Tools and Automation for Real-Time Multi-Channel Personalization.
- Measuring and Optimizing Personalization Efforts Across Customer Journeys.
- Hands-On Exercise: Creating a Generative AI-Powered Marketing Campaign in a Marketing Automation Tool (e.g., HubSpot, Salesforce).
- Reflection & Review: Best Practices for Leveraging AI to Maximize Customer Engagement.
Day 4: Predictive Sales Forecasting and Demand Planning
- Fundamentals of Predictive Analytics in Sales – Trends, Opportunities, and Challenges.
- Building Predictive Models for Sales Forecasting with Time Series Analysis (e.g., ARIMA, LSTM).
- Integrating Predictive Models with CRM Systems for Real-Time Updates and Sales Strategy Adjustments.
- Using AI to Improve Sales Funnel Efficiency, Conversion Rates, and Resource Allocation.
- Hands-On Exercise: Developing a Predictive Sales Forecasting Model in Power BI or Tableau.
- Reflection & Review: Discussing Forecast Accuracy and Techniques for Model Refinement.
Day 5: AI-Enhanced CRM, Automation, and Marketing ROI Optimization
- Enhancing CRM with AI – Predictive Customer Insights, Churn Prediction, and Engagement Strategies.
- Automating Customer Support with AI Chatbots and Virtual Assistants.
- Measuring and Optimizing Marketing ROI Using AI-Driven Analytics.
- Real-World Case Studies of AI-Driven Success in Marketing, Sales, and CRM.
- Capstone Project: Developing an End-to-End AI-Enhanced Marketing and Sales Strategy Integrating Customer Segmentation, Personalization, Forecasting, and CRM Automation.
- Reflection & Review: Project Presentations, Peer Feedback, and Final Discussion on Future Trends in AI for Marketing and Sales.