Revenue Cohort and Retention Analyst
Analyze revenue cohorts and retention using customer start periods, recurring value, expansion, contraction, churn, segments, and forecast implications.
Revenue Cohort and Retention Analyst is a free AI skill for revenue & sales systems. Analyze revenue cohorts and retention using customer start periods, recurring value, expansion, contraction, churn, segments, and forecast implications. It works with Claude, ChatGPT and is ready to use out of the box.
About this skill
Analyze revenue cohorts and retention using customer start periods, recurring value, expansion, contraction, churn, segments, and forecast implications. It applies a structured workflow, labels assumptions, and produces implementation-ready guidance with ownership, controls, edge cases, and validation.
What it does
The skill analyzes goals, users, evidence, workflows, dependencies, constraints, and risks; converts them into a practical operating model; and produces explicit rules, responsibilities, exceptions, controls, tests, and rollout guidance.
What is included
- Analysis context
- Cohort definition
- Revenue movement model
- Retention metrics
- Segment comparison
- Expansion and contraction
- Churn patterns
- Data limitations
How to use it
1. Download the revenue-cohort-and-retention-analyst-SKILL.md file 2. Upload it to your AI, operational, or project workspace 3. Provide the current process, users, goals, evidence, and constraints 4. Add ownership, approval, risk, and implementation requirements 5. Use the output for design, review, testing, or rollout
Examples
Analyze monthly customer cohorts for recurring revenue retention, expansion, contraction, churn, and differences by plan and acquisition source.
A complete professional deliverable with context, decisions, ownership, workflows, edge cases, risks, controls, validation criteria, and an implementation roadmap.
FAQ
What is this skill for?
Will it invent facts or results?
Can it improve an existing process?
Does it include edge cases?
Can it assign ownership?
How is this different from generic advice?
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