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campaign-architecture skill

/plugins/paid-media/skills/campaign-architecture

This skill helps you structure paid media campaigns for testing, delivery, and optimization across platforms, aligning objectives and budgets.

npx playbooks add skill gtmagents/gtm-agents --skill campaign-architecture

Review the files below or copy the command above to add this skill to your agents.

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SKILL.md
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---
name: campaign-architecture
description: Use when structuring paid media campaigns/ad sets to balance testing,
  delivery, and optimization constraints.
---

# Campaign Architecture Patterns Skill

## When to Use
- Designing new campaigns across multiple platforms.
- Reorganizing accounts bloated with overlapping audiences or learning-phase resets.
- Planning test cells to isolate variables (audience, creative, bidding).

## Framework
1. **Objective Alignment** – match campaign objective to business KPIs + conversion events.
2. **Hierarchical Testing** – campaign = goal, ad set = audience/bid, ad = creative variant.
3. **Budget Strategy** – CBO vs ABO, pacing guardrails, flighting.
4. **Signal Quality** – ensure each ad set receives enough conversions/week.
5. **Lifecycle Coverage** – separate prospecting, retargeting, and customer expansion streams.

## Templates
- Naming convention guide (Channel_CampaignGoal_Audience_TestID).
- Funnel coverage matrix (stage vs channel vs messaging).
- Test design brief (variable, hypothesis, metric, sample size, duration).

## Tips
- Limit active tests to preserve learning phase stability.
- Centralize exclusions (existing customers, employees, low-LTV segments).
- Archive underperforming structures monthly to maintain account health.

---

Overview

This skill helps structure paid media campaign and ad set architecture to balance testing needs, delivery efficiency, and optimization constraints. It provides a repeatable framework to align objectives, organize tests, and maintain healthy account signals across prospecting, retargeting, and expansion. Use it to reduce learning-phase volatility and improve conversion signal quality while scaling budgets responsibly.

How this skill works

The skill inspects campaign objectives, audience segmentation, creative variants, and budget allocation to recommend a hierarchical architecture: campaign for goal, ad set for audience/bid, and ad for creative. It evaluates signal sufficiency per ad set, recommends CBO vs ABO patterns and pacing guardrails, and produces naming and funnel coverage templates to standardize testing. It also surfaces exclusion sets and archival rules to keep account structure lean and predictable.

When to use it

  • Designing new cross-channel campaigns with clear KPIs and conversion events
  • Reorganizing accounts suffering from overlapping audiences or frequent learning resets
  • Planning controlled test cells to isolate audience, creative, or bidding variables
  • Scaling budgets while preserving conversion signal quality and delivery stability
  • Separating prospecting, retargeting, and customer expansion workflows

Best practices

  • Align each campaign to a single business KPI and the matching conversion event
  • Use hierarchical testing: campaign = goal, ad set = audience/bid, ad = creative
  • Limit concurrent active tests to avoid learning-phase fragmentation
  • Ensure each ad set can realistically reach the conversions/week threshold required for meaningful optimization
  • Centralize exclusion lists (customers, employees, low-LTV segments) to prevent audience overlap
  • Archive underperforming structures regularly to maintain account health

Example use cases

  • Launch a prospecting campaign per funnel stage with CBO and controlled ad set budgets for distinct audiences
  • Create test cells that hold creative constant while varying audience segments to isolate lift
  • Rebuild a bloated account by consolidating overlapping ad sets and applying centralized exclusions
  • Plan a flighted promotion with pacing guardrails and daily monitoring to avoid underdelivery
  • Structure a retargeting stream with tighter audience windows and higher bid aggressiveness for high-intent segments

FAQ

When should I choose CBO vs ABO?

Choose CBO when you want the platform to allocate budget across ad sets for performance; choose ABO when you need strict control over spend per audience or when running small, distinct test cells.

How many conversions per week does an ad set need?

Aim for enough conversions to support optimization—commonly 50–100 conversions per ad set per week for stable signals, but adjust based on channel and CPA tolerance.