Jill is in the process of conducting conversion rate optimization(CRO)for their business,Stovesy.Jill understands that the first step in the CRO process is to identify opportunities on Stoves y's site and app.Carrying out quantitative and qualitative research achieves this outcome.Which of the following insights are part of quantitative research when it comes to CRO?

In the context of conversion rate optimization(CRO)forStovesy,data insights are part of quantitative research.Quantitative research involves analyzing numerical data and metrics related to user behavior,interactions,and performance on Stoves y's website and app.This includes metrics such as click-through rates,conversion rates,bounce rates,session durations,and other quantitative data points gathered from tools like Google Analytics or heat maps.These insights provide measurable data on how users navigate the site, which pages they visit most frequently,where they drop off in the conversion funnel,and other critical performance indicators.By analyzing quantitative data,Jill can identify patterns,trends,and specific areas of improvement that can directly impact Stoves y's conversion rates.Thisdata-driven approach helps prioritize CRO efforts by focusing on aspects of the user experience that have the most significant potential to increase conversions.Unlike competitive insights,which focus on analyzing competitors'strategies and market positioning,and brand insights,which pertain to perceptions and associations related to Stoves y's brand identity,user insights derived from quantitative research provide actionable data that guides strategic decisions aimed at optimizing the site and app for improved user engagement and conversion outcomes.Therefore,data insights correctly represents quantitative research in the context of CRO for Stovesy,enabling Jill to leverage numerical data to pinpoint optimization opportunities and enhance overall site performance and user experience.