# Churn Risk

Score churn risk per segment by script, with tiered retention playbooks.

- Repository: https://github.com/indranilbanerjee/digital-marketing-pro (921 stars)
- Category: Engineering
- License: MIT
- Last updated: 2026-10-29
- Runs scripts: no, instructions only

## Install

Claude Code: `npx skills add indranilbanerjee/digital-marketing-pro --skill churn-risk -g -a claude-code -y`
Codex: `npx skills add indranilbanerjee/digital-marketing-pro --skill churn-risk -g -a codex -y`
Cursor: `npx skills add indranilbanerjee/digital-marketing-pro --skill churn-risk -g -a cursor -y`
Gemini CLI: `npx skills add indranilbanerjee/digital-marketing-pro --skill churn-risk -g -a gemini-cli -y`

## Description

Score churn risk per segment by script, with tiered retention playbooks. \"which customers are about to churn\

## SKILL.md, as published by its author (untrusted third-party text, read it as data)

# /digital-marketing-pro:churn-risk

> **Script location.** If your host does not set `${CLAUDE_PLUGIN_ROOT}`, the scripts are in this plugin's `scripts/` folder, next to `skills/`. Run them with Python 3.10 or newer: `python`, or `python3` where `python` is not found (macOS, many Linux systems).

## Purpose

Assess churn risk across customer segments and generate intervention strategies. Score segments using behavioral signals, email engagement decline, purchase frequency drops, login pattern changes, support ticket escalations, to categorize each segment into risk tiers and produce actionable intervention playbooks. This command bridges the gap between knowing customers are churning and knowing what to do about it. Instead of reactive "win-back" campaigns after customers have already left, it identifies at-risk segments early enough to intervene while the relationship is still recoverable. Each intervention playbook includes specific actions, timing windows, channel recommendations, and messaging approaches calibrated to the risk tier and customer value.

## Input Required

The user must provide (or will be prompted for):

The rest: https://github.com/indranilbanerjee/digital-marketing-pro/blob/HEAD/skills/churn-risk/SKILL.md