cohort-analysis
cohort-analysis is a Product analytics & metrics skill for AI agents, published by indranilbanerjee in the digital-marketing-pro repository on GitHub. Skillspace rates cohort-analysis D (68/100) and it passed the safety scan; the rating is based on static analysis only.
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.
- Grade
- D
- Quality
- 68 / 100
- Safety
- Passed
- GitHub stars
- 815
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 100 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
Not checked yet
- Category is a classifier prediction; no model has read this skill yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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