How can a brand effectively measure the success of their personalized loyalty program using data analytics, and what key metrics should they focus on to ensure continued customer engagement and retention?

A brand can effectively measure the success of their personalized loyalty program using data analytics by tracking key metrics such as customer retention rate, customer lifetime value, redemption rate of rewards, and engagement metrics like frequency of purchases and average order value. By analyzing these metrics, brands can determine the effectiveness of their loyalty program in driving customer engagement and retention. Continuous monitoring and analysis of these key metrics will help brands make data-driven decisions to optimize their loyalty program and ensure long-term customer loyalty.