Codes,thought process and answers to Shopify data science internship challenge 2022
Average Order Value (AOV) is a metric that tells you the average value of an eCommerce transaction in your online store. In other words, it tells you, on average, how much revenue each order brings in. It’s calculated as follows:
Average Order Value = Product Revenue / Total Transactions
Just like conversion rate, your average order value is also an important key performance indicator (KPI) that’s vital to your online business.
For instance, by improving your conversion rate, you’re encouraging more users to buy from your store. Similarly, by improving the average order value, you’re enticing your customers to spend more whenever they make a purchase.
That means, aside from conversion rate, you’ll also have to focus on average order value in order to increase sales and revenue from your eCommerce store.
Please complete the following questions, and provide your thought process/work. You can attach your work in a text file, link, etc. on the application page. Please ensure answers are easily visible for reviewers!
Given some sample data, write a program to answer the following: click here to access the required data set
On Shopify, we have exactly 100 sneaker shops, and each of these shops sells only one model of shoe. We want to do some analysis of the average order value (AOV). When we look at orders data over a 30 day window, we naively calculate an AOV of $3145.13. Given that we know these shops are selling sneakers, a relatively affordable item, something seems wrong with our analysis.
Think about what could be going wrong with our calculation. Think about a better way to evaluate this data. What metric would you report for this dataset? What is its value?
For this question you’ll need to use SQL. Follow this link to access the data set required for the challenge. Please use queries to answer the following questions. Paste your queries along with your final numerical answers below.
How many orders were shipped by Speedy Express in total? What is the last name of the employee with the most orders? What product was ordered the most by customers in Germany?