Skip to content
Get packs

Ad Campaign Analyzer

Analyzes cross-channel ad data and proposes evidence-labeled budget tests without overstating causality.

Source Download skill
Repository
sickn33/agentic-awesome-skills
Stars
49,023
Licence
MIT
Files
1 file

What it does

Once installed, the agent can take exported ad performance data (CSVs, pasted tables, or dashboard screenshots) from platforms like Google Ads, Meta Ads, and LinkedIn, normalize it into one comparable format, and flag likely wasted spend and promising campaigns. It is designed to separate what the numbers show from what they prove, quantify uncertainty where the data allows, and suggest small, bounded budget experiments rather than sweeping reallocations. It asks for context such as goals, target CPA or ROAS, and recent changes before drawing conclusions.

Great for

  • Small marketing teams reviewing monthly paid-ad performance across Google, Meta, or LinkedIn
  • Marketers deciding how to split a fixed ad budget between channels
  • Analysts who want a structured, cautious first pass on campaign exports

Skip it if

  • Automated, unattended bid or budget changes: the skill produces analysis and recommendations, and it does not connect to ad accounts to make changes
  • Decisions that depend on proven incrementality without a controlled test, since the skill itself warns against treating observed numbers as causal proof
  • Handling sensitive customer data without review: it asks for personal data to be masked, but users still need to check exports before sharing them with an agent

Try asking

  • “Analyze my Google Ads performance from this CSV export for last month and flag wasted spend”
  • “Which of my Meta ads should I pause? Here is the campaign table.”
  • “I have $5,000/month for ads across Google and LinkedIn. How should I split it and what tests should I run?”
  • “Should I spend more on Google or Meta based on these conversion numbers?”
Step-by-step guide: how to use Ad Campaign AnalyzerInstall, first run, examples, tips and FAQs

Install in 3 steps

  1. 1

    Download the skill

    The ZIP contains the 1 original files, the MIT licence and an attribution note.

    ad-campaign-analyzer.zip
  2. 2

    Add it to your agent

    Claude Code (all projects)

    mkdir -p ~/.claude/skills && unzip ad-campaign-analyzer.zip -d ~/.claude/skills/

    Claude Code / Agent SDK (this project only)

    mkdir -p .claude/skills && unzip ad-campaign-analyzer.zip -d .claude/skills/

    Claude apps (web/desktop): Settings → Capabilities → Skills → Upload skill, and choose the ZIP.

  3. 3

    Ask for the task

    No special command needed — the agent reads the skill's description and loads it when your request matches. Try one of the prompts above.

Get better results

  • Provide a clear date range, monthly budget, and primary conversion goal (leads, trials, or purchases) so the analysis is grounded in your context.
  • Supply your own target CPA or ROAS, or a dated external benchmark; the skill is instructed not to invent benchmarks.
  • Mask customer names, emails, and user IDs in exports before uploading, and tell the agent about any creative, budget, or targeting changes made during the period.

What's inside

  • SKILL.md

Redistributed unmodified from sickn33/agentic-awesome-skills under the MIT licence. The assessment was drafted with AI from the skill's files on 2026-10-29. Skills can instruct your agent to run code — read SKILL.md and any scripts before installing.