I have historical data from an e-shop transactions. I want to write a prediction model and check if a specific user will buy with or without a discount, so I can do some targeting offers.
The idea is:
- If a user will buy the regular price, will not have an offer.
- If a user will not buy the regular price, check if he/she will buy with an offer.
With this way, I will avoid to make an offer to someone who would buy with the regular price.
So, I am still in the brainstorming and trying to find a way for implementing the 1-2. Should I create two separate models to predict the 1) and then the 2) with the second model? Or should I join both in one prediction model?