What metrics should I track during A/B tests?

As a Shopify store owner, I've learned the hard way that A/B testing isn't just about changing colors or button text—it's about understanding the deeper dynamics of customer behavior. Last quarter, I was struggling with a conversion rate that seemed stubbornly stuck at 2.3%. I knew something needed to change, but I didn't want to make random guesses. Every test felt like a shot in the dark, and with rising ad costs, I couldn't afford to waste time or money on ineffective experiments. My team and I would sit in endless meetings, debating which metrics truly mattered. Some wanted to focus on click-through rates, others on add-to-cart percentages. The confusion was paralyzing. What I desperately needed was a systematic approach to tracking metrics that would give me real, actionable insights into my store's performance. I needed to understand not just if something changed, but why it changed and what that meant for my bottom line. The stakes were high—each percentage point of conversion could mean thousands in additional revenue. I was looking for a way to transform our testing from a guessing game into a precise, data-driven strategy that could predictably improve our store's performance.