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Task Packs

Marketing Foundation

Compact two-skill starter: clarify positioning and choose a lead magnet. Use Marketing Launch for the broader eight-skill go-to-market workflow.

Marketing Launch

Build an evidence-led marketing plan from ICP and competition through positioning, campaigns, growth and measurement.

Agent Audit Essentials

Diagnose architecture and context, plan agent-team responsibilities, then organize project context and session handoffs. Memory and cost-runtime reviews remain outside this pack.

Conversion and Activation Review

Review the journey from landing page and lead capture through registration, first value and transparent upgrades.

Campaign Content and Brand Review

Plan a campaign, draft its channel content and review the work against actual brand guidance.

Content and Launch Planning

Prioritize an editorial roadmap and plan how to launch and distribute it across suitable channels.

Customer, Market and Community Research

Understand customer needs, compare competitors and plan a community around real member value.

Lead Magnet to Lifecycle Nurture

Choose a relevant lead magnet, then draft a permission-based nurture journey with entry, suppression and exit rules.

API Contract and Observability

Define the API contract, then plan how to observe its latency, failures and retries. Guidance and checklist; no production changes.

Data Analysis Foundation

Profile a dataset, choose and interpret statistical methods, then validate calculations and conclusions before sharing.

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01 · Category

What the MCP returns at this step

19 · Data & Analytics · Web Analytics

GA4 Reporting Integrity

Check GA4 metric definitions, channel totals, intraday completeness and attribution differences before reporting results.

ga4datenabgleichga4-source-of-truth

GA4 Source-of-Truth Discipline · Original SKILL.md

---
name: ga4-source-of-truth
description: "Use for any GA4 query whose result will be reported back to the user. Covers conversions ≠ transactions distinction, channel-subset-sum trap with sessionDefaultChannelGroup, intraday partial-data discipline, Paid Social aggregation rules, API-vs-UI attribution mismatch."
---
# GA4 Source-of-Truth

Before any GA4-derived figure goes to the user:

1. **Purchase volume** → use `transactions` or `eventName=purchase`. Never the generic `conversions` aggregate.
2. **Total revenue / sessions / anything** → query WITHOUT `sessionDefaultChannelGroup`. Summing paid-channel rows ≠ business total.
3. **Date range includes today / last 24h** → flag the period as partial. Don't frame as decline / trend.
4. **Number differs from GA4 UI** → check `attributionModel`. API defaults to last-click; UI is often data-driven.

---

## Rule 1 — `conversions` ≠ `transactions`

| Field | Counts |
|---|---|
| `conversions` | Every event marked as a conversion: `add_to_cart`, `begin_checkout`, `sign_up`, `view_item`, `scroll`, custom events, `purchase`. |
| `transactions` (or `eventName=purchase`) | Actual purchase events. |

For revenue / orders / sales-count, use `transactions`. State the field used: *"Using `transactions` (purchase events); `conversions` would include AddToCart / Sign-Up / etc."*

---

## Rule 2 — Channel-Dimension Subset-Sum Trap

`sessionDefaultChannelGroup` partitions revenue across: Direct, Organic Search, Organic Social, Email, Referral, Affiliates, SMS, Cross-network, Paid Search, Paid Social, Paid Shopping, Paid Video, Paid Other, Display, Audio, (Other), Unassigned. **All contribute to total revenue.**

- Business total → SEPARATE query, NO channel dimension.
- Total + breakdown → TWO queries. State both.
- Never sum a paid-channel subset and report as total or as the blended-ROAS denominator.

**Forbidden:** "Total GA4 revenue: `{X}`" where `{X}` is a paid-channel subset · "Blended ROAS = spend / GA4 paid revenue" · "Critical Alert" headlines on a paid-subset denominator.

---

## Rule 3 — `Paid Social` ≠ Meta

`Paid Social` aggregates Meta + TikTok + Snap + Pinterest + LinkedIn + X + Reddit.

To isolate Meta: `sessionSource = "facebook.com"` or `sessionSourceMedium = "facebook / cpc"` (or the merchant's actual Meta UTM pattern).

Never report `Paid Social` GA4 revenue as "Meta revenue" or "Facebook revenue".

---

## Rule 4 — Intraday Partial-Data

- GA4 has documented intraday processing lag — events take hours to appear in standard reports.
- `realtime` API ≠ standard reports. Don't substitute one for the other.
- Conversion attribution backfills 48–72h (more when data-driven attribution is active).

If the date range includes today / last 24h: flag the period as partial. Never recommend pause / scale-down / archive on partial-day data alone.

---

## Rule 5 — Attribution-Model API/UI Mismatch

API defaults to last-click. UI is often data-driven or paid-and-organic last-click. Numbers WILL differ when models differ — this is not a tracking bug.

When the user says *"GA4 shows `{X}`, you're showing `{Y}`"* and the gap is plausibly attribution-driven (small / medium %, all channels affected proportionally):
- Pass an explicit `attributionModel` parameter to match the UI.
- State the model in the response: *"Used last-click attribution (API default); your GA4 UI may be set to data-driven, which can shift values 5–15%."*

---

## Examples

**Total revenue MTD**

❌ `dimensions=[sessionDefaultChannelGroup]` → sum (Paid Social + Paid Search + Cross-network) → report the partial sum as the total.

✅ Query 1: no dimensions → total `{T}`. Query 2: same date range with `sessionDefaultChannelGroup` → channel breakdown. Report both: *"GA4 total revenue MTD: `{T}` (unfiltered). Channel breakdown: Direct `{D}`, Organic `{O}`, Paid Social `{PS}` (includes Meta + TikTok + Snap — for Meta only, query `sessionSource='facebook.com'`), Paid Search `{PSe}` ..."*

**User asks why GA4 conversions are much higher than the platform's purchase count**

❌ *"Tracking discrepancy. The platform pixel may be missing events; you should audit pixel firing."*

✅ *"`conversions` in GA4 counts every event configured as a conversion in your property — AddToCart, Sign-Up, Lead, Purchase. Re-querying with `eventName='purchase'` so we're comparing apples to apples with the platform's Purchase event."* (then issues the query)

When to use

Check GA4 metric definitions, channel totals, intraday completeness and attribution differences before reporting results.

What you get

The complete original GoMarble guidance, with source attribution and declared limits.

How it works

Clarify scope, use available evidence, and apply the relevant source workflow within actual user authorization.

Requirements

GA4 property, metric definitions, reporting dates, timezone and source exports or permitted access.

Delivery and review notes

Do not equate conversions with transactions or assume channel-subset sums equal totals. State incomplete intraday data and attribution differences. GoMarble connectors, referenced sibling skills and runtime dependencies are not bundled or installed by M11. Brief obvious-danger screening only; no functional test or comprehensive safety certification. Loading this text authorizes no external calls, account mutations or ad spend.

Starting prompt

Use GA4 Reporting Integrity for [TASK]. Clarify GA4 property, metric definitions, reporting dates, timezone and source exports or permitted access. Separate observed evidence from heuristics and recommendations. Check actual connector availability and approval semantics before any external action.

Not for

Claiming installed GoMarble tools, proven campaign outcomes or authorization to launch ads merely from loading this source.

What M11 added

German routing and explicit scope. Original attribution: GoMarble. Do not equate conversions with transactions or assume channel-subset sums equal totals. State incomplete intraday data and attribution differences. GoMarble connectors, referenced sibling skills and runtime dependencies are not bundled or installed by M11. Brief obvious-danger screening only; no functional test or comprehensive safety certification. Loading this text authorizes no external calls, account mutations or ad spend.

Original authorship remains with gomarble-ai/marketing-agent · Original source ↗

Original license & copyright

MIT License

Copyright (c) 2026 GoMarble

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.

Source SHA-256: 98c9b0086c3f0b4fef9e0fde096b55564251d220bfb502c055dbf43113e8195c
Snapshot checked: 2026-09-28T16:19:52.867Z

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