A toolkit for customer retention analysis and prediction.
Project description
Setup and Configuration
For installing the package, run the following:
pip install customer_retention_toolkit
Follow these steps to set up and run the package:
- Create a new virtual environment:
python -m venv venv
- Install the required packages using the provided
requirements.txt
:pip install -r requirements.txt
3.For demo purposes, execute the code cells in example.ipynb
.
When you get to the API section:
- Start the API with:
python run.py
For web usage of the API:
- Visit:
http://127.0.0.1:5000
- For detailed API documentation, go to:
http://127.0.0.1:5000/docs
(Press Enter). - Click on
get_info
, thentry it out
. Input any ID from 1 to 3 and hitexecute
. - The result will appear in the
Response
body.
For comprehensive documentation on the project, including step-by-step guides and detailed explanations, visit our Documentation.
In the competitive world of subscription services, customer retention is key to sustained business success. High churn rates can significantly impact revenue and growth. This project aims to tackle churn by predicting which customers may leave using advanced analytics and machine learning, based on their interaction history and engagement patterns.
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