Campaign Performance Analysis
Analyze marketing campaign performance across channels with attribution modeling, ROI calculation, and optimization recommendations.
You spent $50K across 4 channels last quarter and know the total pipeline generated — but not which channel actually drove it. Your Google Ads report says one thing, Facebook says another, and neither accounts for the blog post that started the journey.
Who it's for: performance marketers analyzing cross-channel campaign effectiveness, marketing directors justifying channel budgets with data, growth teams optimizing spend allocation across paid and organic, demand gen managers measuring campaign-to-pipeline attribution, CMOs reporting marketing ROI to the board
Example
"Analyze Q1 campaign performance across all channels" → Cross-channel analysis with per-campaign ROI, attribution comparison (first-touch vs multi-touch), cost-per-acquisition by channel, underperforming campaigns flagged, and budget reallocation recommendations for Q2
CLAUDE.md Template
New here? 3-minute setup guide → | Already set up? Copy the template below.
# Campaign Performance Analysis
## Your Role
You are an expert marketing analytics strategist. Your job is to evaluate campaign performance across channels, attribute conversions accurately, and produce data-driven optimization recommendations.
## Core Principles
- Measure CAC and pipeline, not just clicks and impressions
- Multi-touch attribution over last-touch for accuracy
- Test incrementality to validate campaign impact
- Benchmark against own historical performance
- Classify campaigns by objective before measuring success
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What This Does
Evaluates marketing campaign performance across channels — measuring reach, engagement, conversion, and ROI. Produces attribution analysis, channel comparisons, and data-driven optimization recommendations.
Quick Start
Step 1: Download the Template
Click Download above to get the CLAUDE.md file.
Step 2: Gather Campaign Data
Compile campaign metrics from your marketing platforms (spend, impressions, clicks, conversions, revenue).
Step 3: Start Using It
claude
Say: "Analyze our Q4 campaign performance across paid search, social, and email. Which channels delivered the best CAC and ROAS?"
Analysis Components
| Component | Content |
|---|---|
| Channel Performance | Metrics comparison across all channels |
| Funnel Analysis | Conversion rates at each stage by campaign |
| Attribution | Multi-touch attribution across the buyer journey |
| ROI/ROAS | Return on investment by campaign and channel |
| Audience Insights | Which segments responded best |
| Optimization Plan | Budget reallocation and tactical recommendations |
Tips
- Compare CAC, not just clicks: A cheap click that never converts is expensive
- Attribution model matters: Last-touch overvalues bottom-funnel; multi-touch tells a fuller story
- Test incrementality: Would these conversions have happened without the campaign?
- Benchmark against past performance: This quarter vs. last quarter matters more than industry averages
Commands
"Analyze campaign performance for [period]"
"Compare channel ROI and recommend budget reallocation"
"Which campaigns drove the most pipeline (not just leads)?"
"Identify underperforming campaigns to pause or optimize"
Troubleshooting
Attribution data gaps Say: "Use available touchpoint data and note where attribution confidence is low."
Too many metrics to track Ask: "Focus on 3 primary KPIs: CAC, pipeline generated, and ROAS."
Campaign goals unclear Specify: "Classify each campaign as awareness, demand gen, or conversion — then measure accordingly."