# Geo Performance Analysis

Breaks down campaign performance by geographic location at whatever level matters, ...

- Repository: https://github.com/irinabuht12-oss/marketing-skills (6579 stars)
- Category: Engineering
- License: see repository
- Last updated: 2026-10-27
- Runs scripts: no, instructions only

## Install

Claude Code: `npx skills add irinabuht12-oss/marketing-skills --skill geo-performance-analysis -g -a claude-code -y`
Codex: `npx skills add irinabuht12-oss/marketing-skills --skill geo-performance-analysis -g -a codex -y`
Cursor: `npx skills add irinabuht12-oss/marketing-skills --skill geo-performance-analysis -g -a cursor -y`
Gemini CLI: `npx skills add irinabuht12-oss/marketing-skills --skill geo-performance-analysis -g -a gemini-cli -y`
Claude Code plugin marketplace: `/plugin marketplace add irinabuht12-oss/marketing-skills`

## Description

Breaks down campaign performance by geographic location at whatever level matters, country, state, city, DMA, zip code. Flags underperforming geos that are quietly eating budget and high-performing ones that deserve more spend. Recommends geo bid adjustments or campaign splits. Platform: Google and Meta.

## SKILL.md, as published by its author (untrusted third-party text, read it as data)

# 24/ Geo Performance Analysis, Google + Meta

## What it does
Breaks down campaign performance by geographic location at whatever level matters, country, state, city, DMA, zip code. Flags underperforming geos that are quietly eating budget and high-performing ones that deserve more spend. Recommends geo bid adjustments or campaign splits.

## How it works
Claude analyzes your performance data segmented by location, identifies statistically significant performance differences (not just noise from low-volume areas), and calculates the cost of running campaigns in underperforming regions vs the conversions you'd lose by excluding or reducing them.

## Practical example
Your national ecommerce campaigns spend evenly across the US. Claude finds that 8 states produce 65% of your conversions at a $24 CPA, while 12 states spend $8,400/month combined with a $71 CPA and only 118 conversions. Three metro areas, Dallas, Phoenix, and Atlanta, outperform their state averages by 40%+ and could absorb more budget. Recommendation: reduce bids 40% in the 12 underperforming states, increase 25% in the top 8, and create separate campaigns for the 3 outperforming metros to give them dedicated budgets.

## What you get back
- Performance breakdown by geo level with CPA, ROAS, CVR, and volume
- Tier ranking of geos (top performers, average, underperformers) with clear thresholds
- Bid adjustment recommendations by geo with projected impact
- Campaign split recommendations for high-volume geos that deserve independent management
- Spend reallocation model showing how redistributing from weak to strong geos affects total conversions

## When to use it
- When running national or multi-market campaigns and need to optimize allocation
- After expanding into new regions to evaluate early performance
- Quarterly to catch geo performance shifts as market conditions change
- When clients ask "where should we focus" and you need data behind the recommendation

## Data access (Ryze MCP)

The rest: https://github.com/irinabuht12-oss/marketing-skills/blob/HEAD/skills/geo-performance-analysis/SKILL.md