Save time crossing your metrics and easily test hypothesis about your store
Do you have very specific questions about your business that take a lot of hassle or analysis to answer? For example, do you want to know if users coming from Facebook are more likely to buy from the 'heels' category, and if customers from Google Shopping are more likely to buy from the sneakers?
In this section, you can ask those questions: if an action is more likely to happen for different segments of your visitors (Visitors from a certain source, channel or device, visitors who log in, add to cart, have bought a certain product or visited a specific url).
Here are some examples of the questions you can ask, and how to use that information:
Is a user who comes from Facebook more likely to make a purchase in the same session than a user who comes from Google Paid?
You are comparing 2 paid sources and learning which one is converting more users into customers, without needing the help of further sessions. This way, you are comparing the sources' performance as conversion drivers
Is a user who comes from Facebook more likely to make a purchase in the next sessions than a user who comes from Google Paid?
Here you are comparing the same 2 sources, but this time you are changing the variable from this session to next sessions. So this time, you are comparing the sources' performance as assisted conversion sources.
Is a user who buys product #1 more likely to make a purchase in the next sessions than a user who buys product #2?
Find out if users who buy one product tend to come back and buy again more than those who buy another product. This information helps make better marketing plans, targeted to acquire customers with higher CLV and repurchase rates.
Is a user who visits /blog/ more likely to make a purchase in the same session?
Compare users who visit your blog against everyone else, and find out if by visiting the blog they are more likely to make a purchase. If this is the case, you know you should send more users to your blog, keep the content updated and promote a couple of posts.
Is a user who visits /product#1/ more likely to make a purchase in the same session that users who visits /product#2/?
Discover if a certain product has a higher CR than another. Use this information both to identify and improve the product pages of the lowest-converting products; and to advertise more the products with better conversion rates.