![]() Funnel analysis is a great and intuitive tool for identifying the dropoff at each of the stages and calculating the conversion rates. What happens in the background is the work of data scientists/analysts who analyze the user journey and potentially create some kind of funnel analysis - the mapping and analysis of a series of events that lead towards a defined goal, like completing the sign-up or making a purchase. After you go through a few screens, you are ready to go and purchase.Äisclaimer: The description above is a simplification and many e-commerce retailers follow different ways of making the users sign-up, for example, requiring sign-up at the last step before paying for the order or actually kindly offering to save your details after ordering for your convenience - so you can order faster next time. In order to actually become a registered user, you often need to provide some information about you (the amount of information greatly varies per service). Most likely, you are free to browse the products that the company is offering, and every now and then you are gently nudged to create an account in order to actually purchase something. ![]() ![]() That is because they want to learn from the users’ behavior and improve in order to attract or retain more users. ![]() In current times, the majority of apps/websites we are using on a daily basis are greatly interested in how we are using them. Learn the basics of process mining and how to use process discovery algorithms in Python ![]()
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