I wonder if anyone can help.
I have a set of data on event ticket sales. I have information on eventdate, location, capacity, cumulative sales, sales date, total sales.
I want to be able to build a model which takes a minimum input of The number of tickets currently sold and days until the event and it would return a value for predicted total tickets sold.
I think I need to use a time-series model or a Survival model, but I am unsure how structure my data and construct it in this instance.
Does anyone have any, tips/pointers/guidance?