Leveraging Real-Time Data and Best Practices to Address Customer Churn in Retail

Join Versha as she discusses one of the top priorities in retail, identifying and addressing customer churn to retain and re-engage users before they bounce. Real-time data is being used to tackle this issue, but breaking down long-established systems is a significant challenge. Although improving existing processes can be difficult, integrating best practices, cross-functional teams, and thoughtful data management can help build a more effective strategy. Successful implementation involves more than just software engineering—it requires understanding when to train models, optimizing data usage, and ensuring a balanced approach to real-time interventions. For large retailers, incorporating these strategies is essential to improving customer retention and reducing churn.Interested in hearing more from our webinar, AI-Powered Personalization vs. Data Privacy: Can You Have Both? Find the full webinar here: https://snowplow.io/events/ai-powered-personalization-vs-data-privacy-can-you-have-both