Multi-Channel Conversion Attribution Analyzer

Free v1.0.0 1 view

Transform scattered analytics data into unified attribution analysis showing which marketing channels actually drive conversions, not just traffic.

What You Get

Understand which marketing channels drive paying customers versus just visitors. Get conversion rates, ROI per channel, and actionable recommendations for reallocating time and budget—without expensive attribution tools.

The Problem

Indie makers and small teams have Google Analytics, Stripe, email tools, and social media analytics, but still can't answer: 'Which channel actually drives paying customers?' Traffic is easy to measure, but connecting traffic sources to conversions requires expensive tools or manual detective work. This causes wasted time on high-traffic but low-converting channels while underinvesting in what actually works.

The Solution

This skill transforms your scattered analytics exports (Google Analytics traffic data, Stripe payments, signup logs) into a unified attribution analysis. It applies multiple attribution models (first-touch, last-touch, linear) to show which channels drive conversions versus just awareness. You get conversion rates by channel, time investment ROI calculations, data quality assessment, and specific recommendations for optimizing channel allocation. Works with whatever data you have—even incomplete tracking yields valuable insights about what's working and what tracking gaps to fix.

How It Works

  1. 1 Gather analytics data from your existing tools (Google Analytics, payment processor, signup database)
  2. 2 Provide data in any format (structured summary, CSV exports, or rough estimates)
  3. 3 Analyze data quality and identify attribution gaps
  4. 4 Apply multiple attribution models (first-touch, last-touch, linear) to your data
  5. 5 Calculate channel performance metrics (conversion rates, efficiency, ROI per hour)
  6. 6 Generate insights comparing channel performance with confidence levels
  7. 7 Receive specific recommendations for time reallocation and tracking improvements

What You'll Need

  • Basic analytics data showing traffic sources and total conversions
  • Time period of 30+ days (90 days preferred for statistical significance)
  • At least partial source attribution for some conversions (rough estimates acceptable)
  • Enough conversions for meaningful analysis (20+ minimum recommended)

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Examples

Attribution Analysis with Incomplete Tracking

Edge case handling when 76% of conversions have unknown sources. Correctly identifies this as an attribution crisis and prioritizes fixing tracking before optimization. Provides 30-day data collection plan.

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ROI-Focused Time Investment Analysis

Comprehensive 90-day analysis with revenue and time investment data. Calculates $/hour by channel (newsletter $45.83/hr vs Twitter $12.50/hr), provides specific time reallocation plan, and projects expected revenue impact.

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Simple Channel Attribution Analysis

Basic channel performance analysis with traffic and conversion data. Shows conversion rates by channel, identifies top performer (newsletter at 5.56%), reveals attribution gap (41.7% unknown), and provides immediate tracking recommendations.

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