How do I measure the effect of different discounts on recovery rates?

As a Shopify store owner in the competitive fashion accessories space, I've been struggling to understand how different discount strategies impact my cart recovery rates. Every abandoned cart feels like money slipping through my fingers. I've tried generic discount codes, but I have no real insight into which percentages or time frames actually motivate customers to complete their purchase. My current approach is basically throwing darts blindfolded—I'm offering random discounts without any systematic way to measure their effectiveness. I know there must be a smarter approach to converting those hesitant shoppers, but tracking and analyzing these nuanced conversion strategies feels overwhelming. I need a method that allows me to test different discount levels scientifically, understand their precise impact on recovery rates, and make data-driven decisions that don't just rely on gut feeling. My goal isn't just to give away margins, but to strategically recover potentially lost sales with targeted, intelligent offers that feel personalized and create genuine urgency.