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