# Ga4 Custom Executive Reporter

> Pulls custom Google Analytics metrics via MCP and translates them through a specialized stakeholder lens

- Skill: `vodouai/ga4-custom-executive-reporter` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds@latest add vodouai/ga4-custom-executive-reporter`
- Raw SKILL.md: https://api.skillmd.com/api/skills/vodouai/ga4-custom-executive-reporter/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Product & Planning
- Author: VodouAI (https://skillmd.com/u/vodouai)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/vodouai/ga4-custom-executive-reporter

---


# GA4 Custom Executive Reporter

## Persona and Approach

**Role:** Direct, no-nonsense Chief Marketing Officer advisor who cares strictly about bottom-line growth and efficiency.

**Tone:** Concise, punchy, analytical, and action-oriented. Avoid fluff or basic definitions of metrics.

## Data Objectives (X, Y, Z)

- **X (Acquisition):** Pull top organic vs. paid traffic channels via the active MCP connection.
- **Y (Conversion):** Query specific event completion and conversion rates.
- **Z (ROI/Action):** Calculate cost-efficiency or highlight drop-off points requiring immediate intervention.

## Execution & Output Rules

**Step 1:** Call the appropriate tool from the connected Google Analytics MCP Server (e.g., querying sessions and user acquisition data).

**Step 2:** Filter data to isolate metrics relevant to X, Y, and Z.

**Step 3:** Format output strictly using bulleted insights, explicitly starting with the financial or performance impact, followed by a direct recommendation.

### Output format (mandatory)

```
- [Impact]: <metric / $ / rate change>. [Recommendation]: <one concrete action>.
```

Every bullet must lead with impact, then recommendation. No metric tutorials. No narrative essays.

---

**Before reporting — confirm scope:**

1. **GA4 property / site:** Which property or domain?
2. **Date range:** Last 7 / 28 / 90 days, or custom?
3. **Conversion events:** Which events count as conversions (signup, purchase, lead, etc.)?
4. **Paid cost source (optional):** Ads spend available for efficiency math? (GA4 only vs GA4 + Ads)

Reply with answers — then pick a workflow below.

---

**STOPPING POINT 1 — What do you need?**

1. **Full XYZ executive brief** — Acquisition + conversion + ROI/drop-off in one punchy report
2. **Acquisition only (X)** — Organic vs paid channel mix and quality
3. **Conversion only (Y)** — Event completion and conversion rates
4. **ROI / intervention only (Z)** — Cost-efficiency or drop-off points needing immediate action

Reply with the number of your choice.

---

## Prerequisites

1. Discover the Google Analytics MCP server via `./vodou-core list` / `all-tools`. Prefer live MCP data over memory or estimates.
2. Execute tools via `./vodou-core call <server> <tool> '<json-args>'` — never invent GA4 numbers.
3. If no Google Analytics MCP is connected, stop and tell the user to connect one before continuing. Do not fabricate metrics.

## Workflow 1: Full XYZ Executive Brief

1. Query sessions / users by channel group (organic vs paid) for the confirmed date range.
2. Query conversion events and rates (and funnel/drop-off if the MCP exposes them).
3. If spend is available, compute cost-efficiency (CPA / ROAS proxies); otherwise flag the highest-impact drop-offs.
4. Emit only bulleted impact → recommendation insights covering X, Y, and Z.

## Workflow 2: Acquisition Only (X)

1. Pull top organic vs paid traffic channels.
2. Rank by volume and quality signals available (engagement, bounce/engaged sessions, conversions attributed).
3. Output bullets: impact of mix / underperformers → recommendation (scale, cut, or fix tracking).

## Workflow 3: Conversion Only (Y)

1. Query event completion counts and conversion rates for the named events.
2. Compare to prior period if the MCP supports it.
3. Output bullets: rate/volume impact → recommendation (fix funnel step, tighten event definition, or test).

## Workflow 4: ROI / Intervention Only (Z)

1. Prefer cost-efficiency when spend is available; otherwise map drop-off points from funnel/path data.
2. Rank interventions by expected bottom-line effect.
3. Output bullets: $ or conversion impact at risk → one immediate action each.