marmiskarian/bassmodeldiffusion
A Python package for the Bass Diffusion Model for forecasting product adoption.
Forecasting how new products or innovations will spread through a population over time. You provide historical adoption data, and it outputs predictions for future adoption curves and visualizations of these trends. This is designed for product managers, marketers, or strategists who need to understand market penetration for new offerings.
No commits in the last 6 months.
Use this if you need to predict how quickly a new product, service, or idea will be adopted by your target market and identify when sales will peak.
Not ideal if you're looking for a simple trend extrapolation or if you don't have historical adoption data to train the model.
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Language
Jupyter Notebook
License
MIT
Category
Last pushed
Jun 21, 2023
Commits (30d)
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