How do I analyze if cart abandonment correlates with ad campaign performance?

As a direct-to-consumer brand running aggressive Meta ads, I'm constantly battling with a frustrating problem: my cart abandonment rates seem to spike right after major ad campaigns. I've invested significant budget into Facebook and Instagram advertising, driving substantial traffic to my Shopify store, but something isn't adding up. When I dig into my analytics, I see high visitor numbers, decent engagement, but then a massive drop-off at the cart stage. It's like I'm pouring money into attracting potential customers, only to watch them slip away at the most critical moment. My team and I have tried various tactics—tweaking ad creative, adjusting targeting, even redesigning product pages—but the cart abandonment issue persists. We're burning through ad spend without seeing proportional returns. I need a systematic way to understand if there's a direct correlation between my ad campaigns and these abandoned carts. Are these visitors truly low-quality traffic, or are we missing a crucial conversion optimization strategy? The financial stakes are high, and every percentage point of improvement could mean thousands in additional revenue. I'm looking for a data-driven approach that can help me diagnose the problem and implement a targeted solution.