Skip to content
#

revenue-forecasting

Star

Here are 3 public repositories matching this topic...

Language: All
Filter by language
All 3 Python 2 Jupyter Notebook 1

sanskritidabhade / SaaS-Pricing-Model-Selection-Using-Data-Science-Techniques

Star 0

Data-driven SaaS pricing optimization using ML to maximize LTV/CAC ratios. Employs Random Forest, clustering, and elasticity analysis on 4,222 customers to recommend tiered pricing strategies that balance revenue growth with sustainable churn rates.

python data-science machine-learning random-forest scikit-learn jupyter-notebook saas business-intelligence data-analysis predictive-analytics churn-prediction k-means-clustering customer-segmentation customer-analytics price-elasticity pricing-strategy pricing-optimization saas-metrics revenue-forecasting ltv-cac-ratio
  • Updated Nov 21, 2025
  • Jupyter Notebook

Improve this page

Add a description, image, and links to the revenue-forecasting topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the revenue-forecasting topic, visit your repo's landing page and select "manage topics."

Learn more