Cross-Channel Performance Comparator

Pro v1.0.0 1 view

Compare marketing channels with different pricing models (CPC, CPM, CPS). Normalize metrics to cost per conversion, ROAS, and ROI for apples-to-apples budget allocation.

What You Get

Transform incompatible channel metrics into standardized comparisons for data-driven budget allocation decisions

The Problem

You're juggling multiple marketing channels with incompatible metrics: Google Ads uses cost-per-click, Facebook uses CPM, LinkedIn uses cost-per-send, and other platforms use different models entirely. Without normalization, you can't determine which channel truly has the lowest cost per conversion, whether to increase or decrease budgets, or how attribution windows distort comparisons.

The Solution

This skill transforms disparate channel data into standardized metrics for clear apples-to-apples comparisons that reveal your true most efficient channels. It normalizes pricing models by calculating cost per click from CPM data, computing cost per conversion across all channels, calculating ROAS for revenue-driven channels, and accounting for different attribution windows. The skill ranks channels by multiple efficiency metrics including lowest cost per conversion, highest ROAS, best conversion rate, volume capacity, and efficiency scores normalized to best-performing channel. It provides actionable insights including which channels to scale up versus down, budget reallocation scenarios with projected outcomes, quality considerations such as leads that don't close despite low cost, and red flags like vanity metrics and selection bias. It works across industries including e-commerce, B2B SaaS, local services, and B2C brands.

How It Works

  1. 1 Gather channel data including spend, volume metrics (clicks, impressions, sessions), conversions, and optional revenue for each channel
  2. 2 Normalize metrics by converting all channels to cost per conversion, ROAS, ROI, and other unified metrics
  3. 3 Create unified comparison table ranking channels by efficiency across multiple metrics
  4. 4 Analyze results to identify which channels deserve more budget and which should be reduced
  5. 5 Model budget reallocation scenarios and calculate projected outcomes
  6. 6 Provide quality considerations and red flags for each channel

What You'll Need

  • Channel performance data including spend and volume metrics (clicks, impressions, sessions) for each channel
  • Conversion data for each channel
  • Optional: Revenue data for ROAS and ROI calculations
  • Optional: Attribution window information for each channel