Multi-Channel Conversion Attribution Analyzer

Free v1.0.0 6 views

Analyzes marketing channel data to reveal which sources drive conversions (not just traffic), calculates ROI per channel, and provides actionable recommendations for time/budget reallocation.

What You Get

Get a unified attribution story from scattered analytics data. Discover which marketing channels actually convert, calculate true ROI per channel, and receive specific recommendations for where to invest your time and budget.

The Problem

Indie makers cannot determine which of their marketing channels actually drive conversions versus just traffic because they lack the tools to connect traffic sources to actual signups/purchases. This causes them to waste time on low-converting channels while underinvesting in what actually works. Every analytics tool shows where visitors come from but none tell which visitors become customers, leaving makers essentially guessing at what marketing efforts are worth their time.

The Solution

This skill transforms scattered analytics data from multiple tools into a unified attribution analysis. It accepts data in any format (Google Analytics exports, Stripe data, email stats, social media analytics, or manual summaries), applies multiple attribution models (first-touch, last-touch, linear), calculates channel efficiency metrics (conversion rates, ROI per hour), identifies attribution gaps, and generates actionable recommendations for time/budget reallocation. The analysis works with incomplete data and flags quality issues so users know where to improve tracking.

How It Works

  1. 1 Intake analytics data in any format (GA exports, payment data, social stats, or manual summaries)
  2. 2 Calculate core metrics: conversion rates, attribution percentages, and ROI per hour for each channel
  3. 3 Identify attribution gaps and diagnose causes (missing UTM parameters, direct traffic, word-of-mouth)
  4. 4 Apply multiple attribution models (first-touch, last-touch, linear) to compare how each changes the story
  5. 5 Calculate channel efficiency: volume vs quality, time investment ROI, and rank channels by performance
  6. 6 Generate insights: identify top performers, volume drivers, underperformers, and hidden winners
  7. 7 Provide 3-5 prioritized action items including tracking fixes, quick wins, and reallocation experiments

What You'll Need

  • Traffic data by source (visitors or sessions per channel)
  • Conversion data (signups, purchases, or leads)
  • Some indication of which conversions came from which sources (partial attribution is acceptable)
  • Optional: Time invested per channel for ROI calculations
  • Optional: Revenue data for financial ROI analysis

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Examples

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