Performance Marketing
CheckedOptimizes ad campaigns across platforms to maximize ROI through data analysis, A/B testing, and budget allocation.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add sunnypatneedi/claude-starter-kit --skill performance-marketing -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
sunnypatneedi
Taken from the source listing. We haven't verified who controls this account.
Install target
Live repository
Not pinned. Installing fetches whatever the repository holds at the time you run the command.
Automated safety checks
This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.
Declares what it does: passed
SKILL.md parses and declares a name and a description.
SKILL.md exists, its frontmatter parses, and it declares a name and a description.
No undeclared network calls: passed
Makes no network calls.
Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.
No obfuscated payloads: passed
No encoded or obfuscated payloads.
No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.
No credential access: passed
Reads no keys, tokens, keychains or credential files.
Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.
No pipe-to-shell installers: passed
No pipe-to-shell or download-and-run installers.
No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.
Pinned to a commit: passed
Scanned sunnypatneedi/claude-starter-kit at bb46cf5d4f.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- bb46cf5d4f
- Scanned
- 1 file, 484 lines
About this skill
What it does
This skill enables AI agents to analyze marketing campaign performance and provide data-driven recommendations. It can calculate key metrics like conversion rates, cost per acquisition (CPA), and return on ad spend (ROAS). The agent can also identify areas for optimization within existing campaigns and suggest A/B testing strategies.
When to use it
- Campaign Analysis: You need a quick summary of how your current marketing campaign is performing against goals.
- Budget Allocation: You want to understand which channels are delivering the best ROI and optimize budget distribution accordingly.
- A/B Testing Ideas: You're looking for suggestions on what elements of an ad or landing page to test for improved performance.
- Performance Reporting: You need assistance in creating reports summarizing marketing campaign results for stakeholders.
Key capabilities
- Calculates key performance indicators (KPIs) like conversion rates and ROAS.
- Identifies areas for campaign optimization.
- Suggests A/B testing strategies.
- Analyzes existing campaigns.
Example prompts
- "Analyze my Google Ads campaign data from the last month and tell me what I can improve."
- "What's a good ROAS target for a Facebook ad campaign targeting young adults?"
- "Suggest some A/B tests I could run on my landing page to increase conversion rates."
Tips & gotchas
To get accurate results, provide the skill with detailed and well-structured marketing data. The quality of the input directly impacts the usefulness of the recommendations provided.