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Which of the following statements are correct?

One of the important web analytics questions is ""What was the average time spent on your site?"". One of the important web analytics questions is ""What products did customers purchase?"". One of the important web analytics questions is ""Did they meet the goals on your website?"". One of the important web analytics questions is ""How to segment visitors by gender and their preferences?"".

User Vikdor
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Final answer:

The web analytics questions focus on average time spent on the site, meeting the goals of the website, and segmenting visitors by gender and preferences is not one of the core questions.

Step-by-step explanation:

One of the important web analytics questions is "What was the average time spent on your site?". This question helps website owners understand the engagement level of their visitors and evaluate the effectiveness of their content or user experience. By tracking the average time spent on the site, they can identify if visitors are finding the content valuable and staying for longer periods.

Another important web analytics question is "Did they meet the goals on your website?". This question helps website owners assess whether visitors are taking the desired actions on their site, such as making a purchase, filling out a form, or subscribing to a newsletter. It helps measure the conversion rate and effectiveness of the website in achieving its objectives.

One of the important web analytics questions is not "What products did customers purchase?". While tracking product purchase data can be valuable for e-commerce websites, it is not one of the fundamental web analytics questions that applies to all websites.

Lastly, "How to segment visitors by gender and their preferences?" is not one of the important web analytics questions. While segmentation can be a useful strategy in web analytics, segmenting visitors by gender and preferences is not one of the core questions. However, it can be relevant for specific businesses or industries that heavily rely on demographic data.

User Yate
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