I'm building a dataset where i'm taking the total amount of something and breaking it down into a per day calculation. However on the first couple of days these projected calculations aren't always hit. Is there a way to build a formula that takes into account a ramp up period of some kind for the first couple of days?
Here it is in practice:
A brand wants to have a certain amount of budget set against a specific website that they're advertising on. The budget of $100,000 over 10 days, or $10,000 / day. However in reality, hitting $10,000 in the first day or so is nearly impossible because of certain elements that need to be taken into account. This is the ramp up period. In reality it starts off with $1000 for day one, $3000 for day 2, $7000 on day 3, and then hitting the per day spend goal of $10,000. Sometimes to compensate for this the website may over-spend on Day 4 and 5 to bring the average back to $10,000 a day.
Is there any way to build a formula around this to compensate and project the per day spend with this ramp-up period? It should be dynamic based on the duration of the campaign (if it's 5 days or 15 days or 30 days, etc.).