How do I measure test impact on overall revenue?

As a Shopify store owner, I've been wrestling with understanding the true impact of my A/B tests. I'm running multiple experiments - tweaking product pages, adjusting checkout flows, testing different discount strategies - but I'm struggling to connect these tests directly to my bottom line. My current analytics feel fragmented. I see conversion rate changes, but translating that into actual revenue impact is like solving a complex puzzle. Am I truly moving the needle, or just creating noise? I need a systematic way to track how each test contributes to my store's financial performance. It's not just about lifting conversion rates; it's about understanding the dollar value of every optimization. My team is getting frustrated with inconclusive data, and I'm worried we're spending time on tests that look good on paper but don't translate to meaningful revenue growth. I want a clear, data-driven approach that helps me prioritize tests with the highest potential financial return and understand their precise monetary impact.