You are a web analyst at a rapidly growing e$-$commerce company. Recently, your team has noticed a high bounce rate on the website's product pages, affecting overall sales and customer engagement. The management team has asked you to investigate the reasons behind this high bounce rate and recommend strategies to improve user engagement and conversion rates. You have access to various web analytics tools, including Google Analytics $4($GA$4),$ and you need to analyze user behavior, traffic sources, and page performance to provide actionable insights.

Question:

Which approach would best help you identify the reasons for the high bounce rate and recommend strategies to improve user engagement and conversion rates?

Group of answer choices

Perform a detailed funnel analysis to understand at which stage users are dropping off on the product pages and identify potential barriers to conversion.

Analyze the source$/$medium report to determine which traffic sources are contributing the most to the high bounce rate and focus on improving the quality of traffic from those sources.

Conduct a cohort analysis to segment users based on common characteristics and analyze how their behavior changes over time, particularly focusing on those who bounce quickly.

Use the user timing metric to measure how long it takes for the product pages to load and correlate these findings with the bounce rate to see if page load time is a significant factor.