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Campaign Analyzer

Campaign Analyzer is a skill for Claude Code, Codex from eddiebelaval/squire. It costs 11 tokens per session (960 once invoked), scanned A, original, MIT.

A marketing-analysis tool for reviewing how campaigns perform across channels. It compares results with goals and examines metrics such as cost, conversions, audience response, and return on advertising spend.

In plain words
What is it for?
Use it to review campaign performance, compare channels, find conversion bottlenecks, evaluate creative assets, and produce recommendations.
Why use it?
It helps turn raw campaign numbers into an explanation of what worked, what did not, and where the budget or message should change.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

not rated 21repo 22d ago A scan 11 tokens original MIT

Good fit Use it to review campaign performance, compare channels, find conversion bottlenecks, evaluate creative assets, and produce recommendations.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/eddiebelaval/squire/campaign-analyzer
View source ↗ eddiebelaval/squire id8labs.app
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add eddiebelaval/squire --skill campaign-analyzer
Clone the repo
git clone --depth 1 https://github.com/eddiebelaval/squire

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for Campaign Analyzer

README.md
[![agentmods](https://agentmods.dev/badge/skills/eddiebelaval/squire/campaign-analyzer.svg)](https://agentmods.dev/skills/eddiebelaval/squire/campaign-analyzer)
Your own site
<a href="https://agentmods.dev/skills/eddiebelaval/squire/campaign-analyzer"><img src="https://agentmods.dev/badge/skills/eddiebelaval/squire/campaign-analyzer.svg" alt="Measured on agentmods" height="20"></a>
Per session 11 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 960 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00011 $0.00960
Opus 5 $0.00005 $0.00480
Sonnet 5 $0.00002 $0.00192
Haiku 4.5 $0.00001 $0.00096

Measured 4d ago against content hash a66d06d83163, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

Campaign Analyzer 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 4d 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.

skills/campaign-analyzer/SKILL.md · 100 lines

How it starts

The opening of the file, as written. The whole thing — 100 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Campaign Analyzer

Turn marketing data into actionable insights that improve campaign performance. This skill helps you systematically analyze campaigns across channels, identify what's working, diagnose what's not, and make data-driven optimization decisions.

Raw metrics don't tell stories - this skill helps you find the narrative in your data. From awareness campaigns to lead generation to e-commerce, learn to measure what matters, benchmark against industry standards, and present findings that drive better marketing decisions.

Built for marketing managers, performance marketers, analysts, and anyone responsible for demonstrating marketing impact and improving results.

Core Workflows

Workflow 1: Campaign Performance Review

  1. Goal Alignment - Compare results to objectives
  2. KPI Dashboard - Track primary and secondary metrics
  3. Funnel Analysis - Identify conversion bottlenecks
  4. Channel Attribution - Understand contribution by source
  5. Spend Efficiency - Calculate cost metrics (CPM, CPC, CPA, ROAS)
  6. Audience Performance - Segment by demographic/behavior
  7. Creative Analysis - Identify top-performing assets
  8. Recommendation Synthesis - Actionable next steps

Workflow 2: Multi-Channel Analysis

  1. Channel Mapping - All touchpoints in customer journey
  2. Attribution Modeling - First touch, last touch, multi-touch
  3. Cross-Channel Synergies - How channels work together
  4. Budget Allocation Review - Spend vs performance by channel
  5. Audience Overlap - Reach and frequency across channels
  6. Journey Mapping - Path to conversion analysis
  7. Optimization Recommendations - Reallocation suggestions

Workflow 3: Creative Performance Analysis

  1. Asset Inventory - All creative variations tested
  2. Performance Ranking - Best to worst performers
  3. Element Analysis - What elements drive performance
  4. Format Comparison - Static vs video vs carousel
  5. Message Testing - Which value props resonate
  6. Creative Fatigue - Performance over time
  7. Learning Documentation - Insights for future creative

Read the full file on GitHub · 100 lines

Changes

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.

  1. 4d ago First seen · 100 lines · 11 tokens per session scan A a66d06d83163

Subscribe to this mod's changes

Campaign Analyzer is a skill published in the GitHub repository eddiebelaval/squire (21 stars, last pushed 22d ago), licensed MIT. It adds 11 tokens to every session and 960 once invoked, about $0.0001 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 2026-09-03.

Analytics and metricsClaude CodeMarketing and SEOagent-osai-agentai-developmentcampaign-managementclaudecodebase-auditmarketingmetricsperformance-marketingreporting
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