In today’s competitive market, customer lifetime value (CLV) is a key metric that directly correlates with long-term business success. Predictive analytics empowers brands to understand and anticipate customer behaviour, enabling smarter decisions that drive engagement, retention, and revenue. Ryan McClurkin will take us on a journey to understand how retailers can harness the power of predictive analytics to increase CLV, identify high-value segments, and create personalized experiences that keep customers coming back. Learn how to use data-driven insights to turn customer relationships into sustainable growth.

• Leverage predictive models to forecast customer behaviours and identify high-value segments
• Use customer data to personalize experiences and offer targeted upsell and cross-sell opportunities
• Optimize retention strategies by understanding the factors that drive long-term loyalty
• Identify at-risk customers early and implement proactive measures to improve retention
• Track key metrics that impact CLV, from customer acquisition to post-purchase engagement
• Integrate predictive insights into your marketing, sales, and customer service strategies for maximum impact