SkillAgentSearch skills...

geo-performance-analysis

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.

Install / Use

npx skills add irinabuht12-oss/marketing-skills --skill geo-performance-analysis

Installs into whichever agent you are using.

About this skill
📄

SKILL.md

Installable skill definition

Quality Score

80/100

Supported Platforms

Universal

Tags

Our assessment of geo-performance-analysis

geo-performance-analysis scores 80/100 on our quality scale, 2292nd of 3,680 Development & Engineering skills we index.

Its SKILL.md is 2.8 KB long, split into 7 sections and no code examples: a solid amount of guidance for an agent.

With 1,836 GitHub stars, it is one of the more widely adopted skills in the catalogue.

Substance
26/30
Structure
11/20
Description
15/15
Adoption
14/20
Freshness
15/15

Maintenance, license and trust

  • The repository was last updated 6 days ago, so geo-performance-analysis is actively maintained.
  • No license is declared. By default that means all rights are reserved: you can read it, but reusing or redistributing it is not clearly permitted. Ask the author before building on it commercially.
  • Its trust signals score 88/100, with 1 caution from licensing, adoption, age or documentation. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

Safety scan

No issues found

Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands.

Automated pattern scan on 2026-09-30. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.

geo-performance-analysis compared with similar skills

All 4 of these similar skills score higher than geo-performance-analysis; compare them before choosing.

SkillScoreStarsUpdatedFormat
geo-performance-analysis (this skill)by irinabuht12-oss801.8k6d agoSKILL.md
ai-job-searchby MadsLorentzen10044.5k1d agoCLAUDE.md
claude-howtoby luongnv8910041.7k3d agoCLAUDE.md
algorithmic-artby anthropics100177.9k7d agoSKILL.md
pptxby anthropics100177.9k7d agoSKILL.md

Frequently asked questions

How do I install geo-performance-analysis?
Run npx skills add irinabuht12-oss/marketing-skills --skill geo-performance-analysis. The install tabs above show the steps for each supported agent.
Which AI agents does geo-performance-analysis work with?
It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
Is geo-performance-analysis safe to use?
Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. It declares no license and scores 88/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is geo-performance-analysis still maintained?
The repository was last updated 6 days ago, so geo-performance-analysis is actively maintained.

name: geo-performance-analysis 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. metadata: platform: Google and Meta

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)

This skill works best with live account data. Connect the free Ryze MCP once and Claude reads your Google Ads, Meta Ads, GA4 and Search Console directly:

  • claude.ai / Claude Desktop: Settings → Connectors → Add custom connector → https://connector.get-ryze.ai/mcp
  • Claude Code: claude mcp add ryze --transport http https://connector.get-ryze.ai/mcp
  • Cursor: Settings → MCP → add the same URL

Setup guide: https://www.get-ryze.ai/how-to-connect-claude-to-google-meta-ads-mcp

Related Skills

View on GitHub
GitHub Stars1.8k
CategoryDevelopment
Updated6d ago
Forks537

Trust signals

88/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

1 medium