BayesMarketing - Bayesian Marketing Mix Modeling Library
========================================================
BayesMarketing is an advanced probabilistic Python library for marketing analytics,
leveraging Bayesian inference with NumPyro.
Features:
- Marketing Mix Modeling (MMM) with Carryover & Saturation Effects
- Bayesian Multi-Armed Bandit for Ad Spend Optimization
- Customer Lifetime Value (CLV) Estimation
- Bayesian Ad Conversion Rate Optimization
- Bayesian Demand Forecasting with Hierarchical & Non-Stationary Models
- Model Validation, Posterior Predictive Checks, and Pareto k Diagnostics
Installation:
```
pip install bayesmarketing
```
Usage Example:
```python
from bayesmarketing.models import advanced_mmm
advanced_mmm.run_advanced_mmm()
```
Metadata
Release files for bayesmarketing-mmm 0.0.1
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
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| bayesmarketing_mmm-0.0.1.tar.gz | 6.5 kB | Without provenance | Details for bayesmarketing_mmm-0.0.1.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| bayesmarketing_mmm-0.0.1-py3-none-any.whl | Python 3 | none | any | Details for bayesmarketing_mmm-0.0.1-py3-none-any.whl |
Total release size: 17.8 kB
Release files / bayesmarketing_mmm-0.0.1.tar.gz
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Release files / bayesmarketing_mmm-0.0.1-py3-none-any.whl
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| Size | 11.3 kB |
| Tags | Python 3 |
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