Nowadays using online services to fulfill needs is so common because of the comfort they provide. It becomes interesting to know that these services have a wide spectrum, from buying tickets to purchasing clothes. In Iran like in other countries, we can have access to these services through some applications like Digikala or Snapp, however, analyzing the customers’ behavior is essential to keep the businesses that provide these services afloat; so, in this report, I am going to analyze a dataset from Snappfood in order to see how different features like discount cost or discount type affect the customer retention and purchase basket of customers.
in order to do this I will answer 4 questions
-
How to create cohort analysis chart?
-
What is the number of orders in July from new customers?
-
Analyzing purchase behavior of customers' first order.
-
How the intervals between 1st, 2nd, 3rd, 4th, and 5th orders change?
in order to find the answers to the above questions, you can check out these notebooks in order
check out 1.1 cohort analysis (based on week) main.ipynb in order to understand how to create cohort analysis.
check out 1.2 new customer orders.ipynb in order to see how I modeled the customers' orders to find out what is the number of orders in July.
check out 2. customer behavior.ipynb to see my analysis of customers' behavior on their first purchase.
check out 3. purchase time.ipynb to see how intervals between purchases change.