I recently interviewed a number of companies about their approach to customer loyalty. In each conversation I asked a variation of the question "How do you define and measure customer loyalty?" And what struck me is that while many companies define loyalty using various terms like share of wallet, length of relationship, engagement, and customer value, they often measure it using only transactional metrics. Now, there are various reasons for this. Some don't have access they to the data they need to gage emotional loyalty. Others don't have the analytics capabilities or resources they need to pull the pieces together. But loyalty if multi-faceted, complex, and has emotional and rational aspects that aren't mutually exclusive, and certainly can't be reduced to a single metric.
So what should you do? First, heed my rallying cry: It's time to push past purchase as a proxy for loyalty. Second, Forrester can help. Loyalty may be difficult to measure, but it's not impossible. My latest research report provides a framework that buckets loyalty measurement into four, cooperative levels:
- Programmatic measurement assesses loyalty program health. These metrics explain how the loyalty program grows in size, scope, and activity level over time. Sample metrics include enrollment rates, offer response rates, and program usage.
- Purchase measurement quantifies the customer relationship. These metrics explain how the loyalty strategy improves customer profitability. Sample metrics include average order value, frequency, and basket assortment.