{"repo":"navdeep-G/churnlib","free":true,"listed":false,"github":"https://github.com/navdeep-G/churnlib","clone":"git clone https://github.com/navdeep-G/churnlib.git","description":"Churn analysis library","language":"Jupyter Notebook","stars":22,"topics":["churn-analysis","churn-modelling","churn-prediction","data-science","data-visualization","python"],"license":null,"category":"analytics","readme_excerpt":"churnlib churnlib is a small Python toolkit that helps data scientists run end‑to‑end customer churn analyses with just a few lines of code. Why churn analysis matters Customer churn is one of the most direct levers for sustainable growth: it impacts revenue predictability, customer lifetime value (CLV), and how efficiently you can spend on acquisition and retention. A few practical reasons teams invest in churn analysis: - Retention is usually cheaper than acquisition. HBR summarizes research suggesting acquiring a new customer can be 5–25× more expensive than retaining an existing one. :contentReference[oaicite:1]{index=1} - Small retention gains can have outsized profit impact. HBR also cites work (Reichheld / Bain) often quoted as: improving retention by 5% can increase profits by 25%–95% (industry-dependent). :contentReference[oaicite:2]{index=2} - Operational focus: churn analysis helps you identify who is at risk , why , and what intervention is worth it (discount vs. onboarding help vs. product fix). - Better targeting: instead of blanket outreach, you can prioritize customers where preventing churn produces the highest incremental value (often via lift / gain style views). What “good” churn analysis includes Beyond a single churn rate, teams typically want: - A clear label definition (what counts as churn, and over what horizon?) - A time-aware split (to avoid leakage when customer behavior changes over time) - ML metrics and business-facing views (e.g., lift tables ","default_branch":null,"files":null,"tree":[],"storefront":"/r/navdeep-G","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/navdeep-G/churnlib/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}