revenue-analytics skillA
revenue-analytics is agent-read markdown (skill) from varunk130/ai-gtm-skill-library: Revenue analytics architecture - ARR / NRR / GRR decomposition, cohort retention, expansion drivers, segment economics, and CAC payback diagnostics. Use when: revenue analytics, ARR waterfall, NRR analysis, GRR, expansion analysis, cohort revenue retention, CAC payback, magic number, segment economics, revenue diagnostics..
Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.
What the file says
# Revenue Analytics (LADDER Framework) Design a revenue analytics layer that answers *where revenue is being created, where it's leaking, and which lever to pull next* - not a dashboard of vanity totals. LADDER decomposes ARR, attributes it, diagnoses drivers, and turns analysis into named actions. ## Core Principle **Revenue analytics fails when it stops at the totals.** Reporting ARR up-and-to-the-right tells you nothing actionable. LADDER decomposes revenue into the components a leadership team can act on within a quarter. ## The LADDER Framework | Letter | Stage | The Question | |--------|-------|--------------| | **L** | Leading Indicators | Which forward-looking metrics predict ARR movement 1-2 quarters out? | | **A** | Attribution | Where does new ARR come from - channel, motion, segment, cohort? | | **D** | Drivers | Which 3-5 levers explain most of the variance in NRR and growth? | | **D** | Diagnosis | What's broken or accelerating, and what's the named hypothesis? | | **E** | Expansion Economics | What's the economics of expansion vs new logo by segment? | | **R** | Retention Decomposition | What's GRR, contraction, churn - by cohort and reason code? | …
Read the whole file at its exact version.
How to install
mdr add varunk130/ai-gtm-skill-library/revenue-analytics@git:20260522.2e90392mdr add varunk130/ai-gtm-skill-library/revenue-analytics@sha256:04b3cfb2e58dc41bPin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.
[](https://markdownregistry.com/a/art_kl6vyieug5tljjbj)
1 badge views in 30 days
Versions
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260522.2e90392 latest | 2026-05-22 | 2e90392 | 5,952 B | A | view · diff |
| git:20260516.4225f52 | 2026-05-16 | 4225f52 | 5,990 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (5952 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
varunk130/ai-gtm-skill-library · 6 stars · license MIT · pushed 2026-09-19 · branch master
API
GET https://markdownregistry.com/api/v1/artifacts/art_kl6vyieug5tljjbj GET https://markdownregistry.com/api/v1/resolve?ref=varunk130/ai-gtm-skill-library/revenue-analytics GET https://markdownregistry.com/api/v1/blob/04b3cfb2e58dc41bcbb3521fc4952bde80bb772b7c4c6ea8ab986e14289140ac
Your agent does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.