Ecommerce Analytics: From Data to Decisions Assessment Answers

Ecommerce Analytics – From Data to Decisions Course Overview: Google Analytics Academy

Discover useful reporting and analysis techniques to help your ecommerce business make informed decisions using Google Analytics data. In this self-paced online course, you’ll immerse yourself in the measurement planning process and practice navigating Google Analytics to improve the performance of an example ecommerce business.

Unit 1 Assessment

Introduction to Ecommerce Analysis
1.1 Course overview
1.2 Using the measurement plan
1.3 Reporting vs. analysis
1.4 Analysis preparation
1.5 Next steps

1.) You should use the same dashboard to monitor your site’s performance, regardless of business objectives and job roles.

2.) Google Analytics segments allows you to do which of the following? (select all that apply)

3.) The “All Sessions” segment includes every session within the selected date range.

4.) What allows you to create segments based on a specified order of user conditions?

5.) In this Overview report, which audience segment has the longest session duration and highest pages per session?

6.) To create a segment that includes all users who have seen the summer promotion landing page during any session, what setting needs to change?

Unit 2 Assessment

Understanding Customers
2.1 Traffic source analysis
2.2 Multi-channel analysis
2.3 Customer profile analysis
2.4 Summary and takeaways

1.) If one of your site’s paid traffic sources had a low ecommerce conversion rate, which actions should you take? (select all that apply)

2.) In this Multi-Channel Funnel report, which two channels have the highest overlap and would benefit from coordinated marketing messaging?

3.) In this Multi-Chanel Funnel report, which channel is the best at assisting ecommerce conversions relative to the number of Last Click or Direct Conversions it drove?

4.) In this Attribution report, which channel misses out on the most conversion credit when using the “Last Interaction” model (versus the “First Interaction” or “Linear” conversion models)?

5.) Based on this Demographics report, which gender, age, and user type is most likely to make a purchase?

Unit 3 Assessment

Understanding Shopping Behavior
3.1 Enhanced Ecommerce overview
3.2 On-site merchandising analysis
3.3 Shopping behavior analysis
3.4 Checkout analysis
3.5 Summary and takeaways
3.6 Course summary

1.) To use the Product List Performance and Shopping Behavior Analysis reports, you must first implement Enhanced Ecommerce on your website.

2.) The Product List Performance report provides a recommended list of products to remove from your website.

3.) In this Product List Performance report, which product list and list position is most efficient at driving product views?

4.) In this Product Performance report, which product indicates potential issues with the product details page?

5.) In this Checkout Behavior Analysis report, which step in the checkout process should you optimize based on its drop-off rate?