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Loyalty data course

Truth’s 3-week online course in customer loyalty data will help you demystify the complexity associated with collecting and analysing customer data. We will help you identify key tactics to get you out the starting blocks to understand & leverage your customer data. The online course is on demand and can be started at any time throughout the year.

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In just 3 weeks you will:

  • Understand the strategic importance of data
  • Understand the impact of driving customer-led business strategies
  • Learn about key definitions and methods used when referring to customer data analytics
  • Learn how to identify key indicators about who your most valuable customers are
  • Learn to interpret your customer data in a way to better inform business decisions, not just your marketing efforts
  • Define customer segmentation and how it can be applied to your day to day business activities
  • Learn how powerful customer centricity is and successful case studies

In the 3-week online course we cover the following:

Module1: Strategic rationale for using data:

Module 1, the first building block to understanding the world of data. We start this module by understanding the shift from product-led marketing to customer-led marketing, understanding what true customer centricity is and determining different types of data.

Module 2: Methods used to derive customer insights

In this module you will learn how to convert an unknown customer to a known customer and how to create a single view of your data. We will also focus on understanding where a business needs to focus its attention when it comes to segmentation.

Module 3: Interpreting data

In this module you will listen to Truth’s CEO and Founder, Amanda Cromhout, as she guides you through a basic understanding of how to collect and interpret data. We also discuss the high-level legalities surrounding the use of customer data gathered through loyalty programmes and, in principle, why acts such as GDPR and POPIA exist. Lastly, you will also listen to a seasoned data strategist, and his advice to businesses about customer data.