Ryan McClurkin

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

We will learn from a panel of leading retailers who leverage the power of customer insights to fuel innovation, enhance personalization, and optimize every touchpoint of the customer journey. From product development to loyalty programs, discover how actionable data is fueling sustainable growth.

• Utilize customer data to shape product offerings, marketing campaigns, and store experiences
• Leverage behavioural insights and purchase data to enhance personalization and targeted messaging
• Align data insights with strategic objectives to create seamless, omnichannel customer journeys
• Harness AI and machine learning to predict trends and anticipate customer needs with precision