Can I run A/B tests on cart recovery offer timing?

As a Shopify store owner running Facebook ads, I'm constantly battling cart abandonment. I know timing is everything when it comes to recovery offers, but right now, I'm basically guessing. Sometimes I show a discount too early and feel like I'm leaving money on the table. Other times, I wait too long and lose the customer completely. I need a systematic way to test different offer timings without manually tracking every single interaction. My gut tells me there's a sweet spot where an offer feels helpful, not desperate—but how do I find it? My conversion rate is hovering around 2.5%, and I know with the right approach, I could push that closer to 4% or even 5%. I want a solution that lets me experiment intelligently, tracks the results precisely, and doesn't require me to become a coding expert or hire a developer. This isn't just about recovering abandoned carts; it's about understanding my customers' psychology and creating a more responsive shopping experience.