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Project description
Customer Lifetime Value Prediction
This framework we generate 2 main predictive model per customer. First, Next Purchase (Frequency) Model will be trained. This model will help us to predict the day of nex purchases per customer Second, Customer Value Model will be trained. THis model will help us to predict what will be the amount of next purchases per customer. There will be customers can not be predicted by those models above because of lack historical informations. Those customers are NewComers. This platform allows us to predict NewComers' total lifetime values as well.
Installation
Tool can be used any other package by install it via pypi or git command
poetry add clv_prediction
OR
poetry add git+https://github.com/caglanakpinar/clv_prediction.git
Project layout
clv/
docs/
- configs.yaml
- test_parameters.yaml
confgis.py
dashboard.py
data_access.py
executor.py
functions.py
main.py
newcomers.py
next_purchase_model.py
next_purchase_prediction.py
purchase_amount_model.py
utils.py
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