Evaluate channels on contribution and marginal ROI under a stated attribution model — not average ROI or lead count. Reach for this on a channel or budget question.
Installs into .claude/skills of the current project.
Are you the author of Evaluate Channel Mix?
Add the live security badge to your README. It updates with every re-scan.
[](https://www.skillsdirectory.com/skills/mcorbett51090-evaluate-channel-mix)
---
name: evaluate-channel-mix
description: "Evaluate channels on contribution and marginal ROI under a stated attribution model — not average ROI or lead count. Reach for this on a channel or budget question."
---
# Skill: Evaluate channel mix
Attribution choice changes the ranking, and average ROI hides saturation (§3 #2 #5).
## Step 1 — State the attribution model
First/last/multi-touch named before any number (§3 #2).
## Step 2 — Compute channel ROI
(Contribution − cost) ÷ cost via `marketingops_calc.py channel-roi`.
## Step 3 — Read marginal ROI
The next dollar's return, not the blended average (§3 #5).
## Step 4 — Reallocate
Move budget off saturated channels toward higher marginal ROI.
## Output
A channel read with the attribution model named and marginal-ROI reallocation.