Borrowing it
Nothing to install: this file belongs to eduardocornelsen/full-funnel-ai-analytics. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/eduardocornelsen/full-funnel-ai-analytics/main/CLAUDE.mdgit clone --depth 1 https://github.com/eduardocornelsen/full-funnel-ai-analyticsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/instructions/eduardocornelsen/full-funnel-ai-analytics/claude-md)<a href="https://agentmods.dev/instructions/eduardocornelsen/full-funnel-ai-analytics/claude-md"><img src="https://agentmods.dev/badge/instructions/eduardocornelsen/full-funnel-ai-analytics/claude-md/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/instructions/eduardocornelsen/full-funnel-ai-analytics/claude-md"><img src="https://agentmods.dev/badge/instructions/eduardocornelsen/full-funnel-ai-analytics/claude-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.04376 | $0.04376 |
| Opus 5 | $0.02188 | $0.02188 |
| Sonnet 5 | $0.00875 | $0.00875 |
| Haiku 4.5 | $0.00438 | $0.00438 |
Grade A, and why
full-funnel-ai-analytics CLAUDE.md scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 395 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Full-Funnel AI Analytics — Agent Instructions
This file is loaded automatically at the start of every conversation. All rules here are mandatory when generating dashboards, charts, tables, or any metric output from MCP data.
1. Canonical Metric Definitions
These are the single source of truth. Never deviate without explicit user instruction.
CVR — Two valid definitions; always label which one
| Name | Formula | When to use | UI label |
|---|---|---|---|
| Session CVR | conversions / sessions |
Cross-channel funnel analysis; GA4 data | CVR (session) |
| Click CVR | conversions / clicks |
Within-platform campaign comparison (Google Ads, Meta Ads) | CVR (click) |
Rule: Never mix session CVR and click CVR on the same chart or table without explicit labelling of each. Session CVR ≈ 2–4% for e-commerce. Click CVR ≈ 5–20%. Values are not comparable across definitions.
ROAS
| Source | Formula | Notes |
|---|---|---|
| Meta Ads (platform) | SUM(purchase_value) / SUM(spend) — platform-reported revenue over spend |
Equals the platform roas field for a single row; aggregate as ratio-of-sums, never an average of per-row roas |
| Google Ads (estimated) | (conversions × AOV) / spend where AOV = $100 |
Google MCP does not return revenue; use $100 AOV consistently |
| Blended ROAS | total_attributed_revenue / total_spend |
Linear attribution; must label as "Linear · 90d" |
Rule: Never use a hardcoded spend multiplier (e.g., spend × 3.5 or spend × 0.8) to estimate ROAS.
Always use conversions × $100 for Google. Never derive Meta ROAS from the $100 AOV — the AOV is
calibrated FROM Meta's reported revenue, so an AOV-derived "platform" ROAS is circular.
CTR
clicks / impressions — always expressed as a percentage.
Conversion (funnel stages)
| Stage | Definition | Source |
|---|---|---|
| Sessions | GA4 session events | GA4 MCP |
| Conversions | GA4 conversion events | GA4 MCP |
| Deals Won | CRM closed-won deals | HubSpot / Salesforce MCP |
| CRM Contacts | All contacts in CRM (all-time) | HubSpot MCP |
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 11d ago First seen · 395 lines · 4,376 tokens per session scan A 0b4b441e0b3f
full-funnel-ai-analytics CLAUDE.md is an instructions file published in the GitHub repository eduardocornelsen/full-funnel-ai-analytics (21 stars, last pushed 1mo ago), licensed MIT. It adds 4,376 tokens to every session, about $0.0219 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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