How can I use behavioral data for better recovery?

As an e-commerce store owner, I've been struggling with understanding why potential customers abandon their carts and how to effectively bring them back. Every day, I see promising traffic and initial interest, but conversions remain frustratingly low. My analytics show a significant drop-off between product views and completed purchases, and I know there's untapped potential in those lost opportunities. I've tried generic email reminders and broad discount strategies, but they feel scattershot and ineffective. What I really want is a smarter approach—one that doesn't just blast everyone with the same message, but understands each visitor's unique journey and intent. I need a solution that can track behavioral nuances, predict which customers are most likely to return, and create personalized, timely interventions that feel genuine rather than desperate. My goal isn't just to recover lost sales, but to do so in a way that respects my brand's integrity and provides real value to potential customers. I'm looking for a sophisticated, data-driven method that turns hesitation into conversion without resorting to pushy tactics.