Quantitative data is often collected through heatmaps, surveys, KPI analytics, and A/B tests. In eCommerce, quantitative metrics include: click-through rates, time on sites, visitor counts, and really any marketing measure that can be represented numerically. This is the hard information that is not up for interpretation and just is what it is. Quantitative data can be defined as “the cold, hard numbers”. You need to implement regular A/B tests along with other optimization techniques to get the best results. One thing to keep in mind: A/B testing is part of good CRO, and not the conversion optimization itself.
You can choose what counts as a set out as a goal in your analytics tool such as sharing of a piece of content, clicking onto a particular page, opting into a pop-up on your site, etc. A conversion can be identified as the successful completion of a set goal. In order to find your conversion rate, you need to take the total number of sales divided by the total number of visits to your site.