Customer data analysis is one of the most important capabilities a business can develop, yet I see many teams collecting data without knowing how to interpret it or turn it into action.
In this video, I explain how I approach customer data analysis in a practical, structured way. Drawing on more than 30 years of experience working with global brands and growing businesses, I show you how to analyse your customer data, identify your most valuable customers, and use insight to drive retention and revenue.
In this video, I cover:
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How I analyse customer data to understand customer value
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Why frequency is often a stronger signal than transaction size
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How customer segmentation helps you focus on the customers that drive growth
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Why a small percentage of customers usually contribute a disproportionate share of revenue
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How to turn customer data analysis into decisions and action, not just reporting
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Why behaviour is the foundation of customer loyalty
Whether you work with hundreds of customers or millions, customer data analysis helps you move beyond gut feel and start making decisions based on behaviour, patterns, and value.
If you are not analysing customer data properly, you are likely missing early signals of disengagement, churn, and growth opportunities.
If you want a clear, step-by-step way to apply this thinking in your own business, you can access my data playbook via the link in the description.
