Home
cd ../playbooks
Marketing & ContentIntermediate

Campaign Performance Analysis

Analyze marketing campaign performance across channels with attribution modeling, ROI calculation, and optimization recommendations.

10 minutes
By communitySource
#campaign-analysis#marketing-performance#attribution#roi#channel-optimization
CLAUDE.md Template

Download this file and place it in your project folder to get started.

# 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

## Instructions
Produce: channel-by-channel performance comparison, funnel conversion analysis, multi-touch attribution model, ROI/ROAS calculations, audience segment insights, and budget reallocation recommendations.

## Output Format
- **Channel Summary**: Channel, spend, impressions, clicks, conversions, CAC, ROAS
- **Funnel**: Stage, volume, conversion rate, drop-off, by campaign
- **Attribution**: Touchpoint, attributed conversions, attributed revenue, model used
- **Recommendations**: Action, channel, expected impact, priority

## Commands
- "Campaign analysis" - Full performance review
- "Channel comparison" - Cross-channel ROI
- "Attribution report" - Multi-touch analysis
- "Optimization plan" - Budget and tactical recommendations
README.md

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."

$Related Playbooks