Browserstack Growth case

Solve churn analysis with the following questions:

1.Based on the data above, the churn in BrowserStack is 29.9%. But this is of limited use. Can you calculate churn in a way that provides better insight. What is that insight?

2.What are the top 3 parameters that may be causing churn from the above dataset and explain why. For each of these parameters, what are potential things we can do to address churn?

3. What is your inference about repurchases using this dataset?