I am trying to understand the strength of impact of variables on customer churn (attrition). I want to predict the probability that a customer will churn after time period t (after 1 months, after 3 months) from start date of service.
My intention is not to predict how many customers will churn in next month. Instead, I want predict outcome given a customer start date and other variable. I need to know the probability of churn after one month from start date (customer will stay for one month before churn). Can I use linear regression or survival analysis methods? Explaining the predictive ability of variables is also important to me.
My data looks like this, i have several independent variables. date format is mm/dd/yyyy
id start_date var1 var2 end_date 1 1/1/2018 30 2 2/15/2018 2 1/24/2018 5 9 2/10/2018 3 3/2/2018 10 3 4/26/2018
customer 1 and 3 stayed with us for more than 1 months. whereas customer 2 churned before spending one month with us. start date and end date can be anything in last 2 years. my target is customer will spend at least one month in our service.