I have daily level promotional data in binary format (1,0). If the promotion is running on the particular date then the value is 1 else 0.
below is the sample data
| Date | Extra_cut 10-30% off | Friends&Family | Cyber_monday | Jewelry | ... | Demand |
|---|---|---|---|---|---|---|
| 1/1/2021 | 1 | 0 | 0 | 1 | ... | $ 143,123 |
| 1/2/2021 | 1 | 0 | 1 | 1 | ... | $ 179,560 |
| 1/3/2021 | 0 | 0 | 0 | 1 | ... | $ 110,121 |
| 1/4/2021 | 0 | 1 | 0 | 0 | ... | $ 122,900 |
| ... | ... | ... | ... | ... | ... | ... |
| 7/31/2022 | 1 | 0 | 1 | 0 | ... | $ 168,772 |
How to explain the effectiveness or importance of each promotion variable and how to create a baseline Demand $/Sales for Ecomm fashion retail business.
- What Kind of analysis to be done?.
- How to do feature selection?
- How to built a baseline model?
- Which model should I try?
Please guide me on this to kick start, thanks in advance :)