This course provides learners with a comprehensive understanding of how data-driven analytics can enhance customer engagement and business performance. It introduces key concepts such as Customer Lifetime Value (CLV) and its critical role in evaluating marketing effectiveness and firm profitability. Learners will gain hands-on experience with analytical tools including Python, SPSS, and trade data analysis to interpret customer behaviour and measure marketing outcomes. The course also explores customer experience management, segmentation, and persona development to help organizations better understand their audiences and design personalized strategies. By the end of the course, participants will be equipped to apply digital customer analytics for informed decision-making, market estimation, and long-term value creation.

This course provides learners with a comprehensive understanding of how data-driven analytics can enhance customer engagement and business performance. It introduces key concepts such as Customer Lifetime Value (CLV) and its critical role in evaluating marketing effectiveness and firm profitability. Learners will gain hands-on experience with analytical tools including Python, SPSS, and trade data analysis to interpret customer behaviour and measure marketing outcomes. The course also explores customer experience management, segmentation, and persona development to help organizations better understand their audiences and design personalized strategies. By the end of the course, participants will be equipped to apply digital customer analytics for informed decision-making, market estimation, and long-term value creation.
Customer Insights Analyst / Customer Data Analyst, Marketing Data Analyst / CRM Analyst, Customer Experience (CX) Analyst / Journey Mapping Specialist Data Scientist – Customer Analytics / Retail Analyst, Business Intelligence (BI) Analyst / Customer Strategy Consultant
Certification