Customer and Marketing Analytics for Business Growth
Corporate Training Courses Company

Customer and Marketing Analytics for Business Growth

Course schedule

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Course Overview

This course is designed for marketing, sales, and customer experience professionals who want to leverage data analytics to enhance customer engagement, optimise campaigns, and drive business growth. Delegates will learn advanced customer segmentation, behavioural analytics, and ROI measurement techniques.

Who Should Attend

Marketing, sales, and customer experience professionals aiming to use data analytics for campaign optimization and business growth. Past delegates have included:
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  • Marketing Data Analyst
  • CRM Campaign Manager
  • Digital Marketing Specialist
  • Customer Insights Analyst

Course Outcomes

  • Use data analytics to improve customer acquisition and retention
  • Develop data-driven marketing campaigns
  • Implement advanced customer segmentation and targeting
  • Measure marketing ROI using analytics tools
  • Enhance customer experience with predictive modelling
  • Apply sentiment analysis and social media analytics
  • Optimise pricing strategies through data insights
  • Automate personalised marketing with AI
  • Use A/B testing to refine marketing strategies
  • Develop dashboards for real-time marketing performance monitoring

Course Topics

Foundations of Data Analytics

  • Introduction to data analytics and its business impact
  • Key data types and sources within organisations
  • Fundamentals of statistical analysis
  • Overview of analytics tools and technologies

Data Visualisation and Communication

  • Principles of effective data storytelling
  • Designing impactful visual dashboards
  • Tools for data visualisation (e.g. Power BI, Tableau)
  • Best practices for presenting data-driven insights

Predictive Analytics and Forecasting

  • Introduction to predictive modelling techniques
  • Business forecasting using time series analysis
  • Understanding machine learning in forecasting
  • Case studies on predictive analytics in decision-making

Customer Behaviour and Segmentation Analytics

  • Data-driven customer profiling and segmentation
  • Predicting customer churn and retention strategies
  • Sentiment analysis and text analytics in marketing
  • Case studies on customer analytics success

Marketing Performance Optimisation

  • A/B testing and marketing experimentation
  • ROI measurement using data-driven insights
  • Personalisation and AI-driven marketing automation
  • Real-time analytics for campaign optimisation

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