What It Does
Cohort Analysis packages a focused communication workflow for an AI agent. Segment customers into cohorts — by acquisition period, channel, first behavior, or revenue tier — and produce a color-coded retention matrix, overlaid retention curves, LTV-by-cohort comparisons with LTV:CAC where cost data exists, best/worst cohort rankings with hypothesized drivers, stabilization-point analysis, and intervention recommendations for underperformers. Analyzes and recommends; it launches nothing. Triggers on \"/digital-marketing-pro:cohort-analysis\", \"are newer customers retaining better than older ones\", \"which channel produces the highest-LTV customers\", \"build a retention matrix\", \"when does our churn stabilize\". Pulls customer data from connected CRM and analytics MCPs, reads the brand profile for business-model context, and saves the summary as a campaign-tracker.py insight for trend tracking. It is best suited to users who can review the resulting actions and provide only the accounts, files, or command access needed for the task. It is not a substitute for human approval on destructive, financial, security-sensitive, or public-facing actions.
Popular Use Cases
- Draft and organize messages
- Work with communication channels and contacts
- Summarize conversations into next steps
- Automate routine coordination
Install this Agent Skill
Claude Code
npx skills add https://github.com/indranilbanerjee/digital-marketing-pro --skill cohort-analysisCommands derived from the public GitHub SKILL.md record. Checked 2026-10-18. Review the source before running them.
Requirements
| Claude Code | Required / review |
| Codex | Required / review |
| Public SKILL.md source | Required / review |
| Review instructions and requested permissions before installation | Required / review |
| Paid service | Check source |
| Supported system | Check source |
Why It’s Popular
Cohort Analysis is a verified Agent Skill from indranilbanerjee with a public SKILL.md, compatible with Claude Code, Codex.
