mta: Accurate Marketing Attribution
Mta provides clear marketing insights by attributing conversions to multiple touchpoints, enabling data-driven marketing decisions.
- •When you need to understand the impact of each marketing channel on customer conversion
- •When you want to optimize your marketing budget allocation across different channels
- •When you need to measure the return on investment (ROI) of your marketing campaigns
python mta.py -c config.json -d data/marketing_data.csv -o output/attribution_report.json
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Installs with a command or two; your AI agent can do it for you.
mkdir -p ~/.claude/skills/mta && curl -fsSL https://workflowstacks.com/api/skills/mta/claude-skill -o ~/.claude/skills/mta/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
Mta: Accurate Marketing Attribution is a small Python project (~950 lines across 2 code files, plus 11 test files). Setup is light: installs like a normal app. Reading the code is optional. Last commit 3 months ago, MIT license, has a test suite.
- 1README.mdStart here — what it does and how to install it
- 2pyproject.tomlDependencies and the commands it exposes
- 3mta/__init__.pyInside mta/ — the main logic begins here
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Installs with a command or two; your AI agent can do it for you.
mkdir -p ~/.claude/skills/mta && curl -fsSL https://workflowstacks.com/api/skills/mta/claude-skill -o ~/.claude/skills/mta/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
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Includes the tested workflow and a written setup playbook. Needs: SerpAPI key (free tier).
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