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cohort-analysis

Run cohort analysis: retention matrix and LTV by cohort. Churn scoring → churn-risk. "build a retention matrix"

plugins/indranilbanerjee/digital-marketing-pro/skills/cohort-analysis/SKILL.md

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# /digital-marketing-pro:cohort-analysis

> **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

Perform customer cohort analysis to understand lifecycle patterns, retention, and value over time. Segment customers into cohorts by acquisition date, channel, behavior, or value tier, then track retention curves, compare cohort performance, and identify which acquisition sources produce the highest-value customers. This analysis reveals whether the business is acquiring better or worse customers over time, which channels drive long-term value versus one-time transactions, and where lifecycle interventions (onboarding improvements, re-engagement campaigns, loyalty programs) would have the greatest impact on retention and revenue.

## Input Required

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

- **Cohort type**: `time-based` (customers grouped by acquisition week, month, or quarter — the standard cohort analysis showing retention evolution over time), `channel-based` (customers grouped by acquisition source — paid search, organic, social, email, referral — revealing which channels produce the most durable customers), `behavioral` (customers grouped by first action taken — e.g., product category purchased, feature used, content consumed — identifying which entry points lead to highest retention), or `revenue-tier` (customers grouped by initial purchase value — low, medium, high, enterprise — showing how starting value correlates with lifetime retention and expansion)
- **Time period and granularity**: The analysis window and cohort size — weekly cohorts for the past 3 months (high resolution, best for fast-cycle businesses), monthly cohorts for the past 12 months (standard for most businesses), or quarterly cohorts for multi-year analysis (best for long-cycle B2B or subscription businesses). Granularity determines both how cohorts are defined and the retention interval measured