mizcausevic-dev

mizcausevic-dev / attribution-intelligence-studio

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React + TypeScript studio for multi-touch attribution analysis, experiment interpretation, and executive growth decisioning.

mizcausevic.comskills attribution experimentation frontend growth-analytics react
12
12
100% credibility
Found May 08, 2026 at 12 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

A frontend demonstration project showcasing interactive dashboards for multi-touch attribution analysis, channel efficiency, experiment outcomes, and growth decision-making using static sample data.

How It Works

1
🔍 Discover the dashboard

You stumble upon this beautiful analytics studio in a developer's online portfolio, promising clear insights into business growth and sales channels.

2
💻 Start it on your computer

With a few simple steps, you get the dashboard running locally so you can explore it right away.

3
📊 View key business signals

A grid of important metrics pops up, showing pipeline values, influence shares, and confidence levels that make leadership decisions feel straightforward.

4
📈 Explore channel influences

Colorful charts reveal how different channels contribute to revenue, with lines showing efficiency to highlight what's working best.

5
🔄 Compare models and experiments

Side-by-side views let you see how sales stories change across journey stages and which experiments deserve to be rolled out.

6
🚨 Spot workflow alerts

Helpful notifications flag issues like overstated influences or underfunded opportunities, guiding what to fix next.

✅ Gain clear growth insights

You now have an executive-ready view of attribution that turns complex data into smart investment decisions and action plans.

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Star Growth

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AI-Generated Review

What is attribution-intelligence-studio?

Attribution Intelligence Studio is a React and TypeScript app built with Vite that visualizes multi-touch attribution data for growth teams, turning raw analytics into executive dashboards with channel contribution charts, model comparisons, experiment lift bars, and workflow alerts. It solves the problem of fragmented attribution reports by providing a unified view of sourced pipeline, influenced revenue, and decision signals like budget shifts or partner tuning. Developers get a ready-to-run demo at localhost:5173 after npm install and npm run dev, complete with Vitest tests via npm test.

Why is it gaining traction?

This stands out as a react typescript example project among react github projects by framing charts as action-oriented tools—narrative alerts flag planning changes, and efficiency overlays guide investments—rather than generic viz libraries. It showcases react typescript best practices in a real-world react github example for analysis and attribution, with clean props handling and responsive Recharts components that feel like premium growth ops software. The hook is its recruiter appeal: a polished react typescript component demo proving you can productize messy business logic.

Who should use this?

Growth engineers at RevOps or demand gen teams building attribution UIs for leadership. Frontend devs prototyping executive analytics dashboards who want a react typescript tutorial jumpstart with tested charts and static data models. Portfolio builders seeking a react github stars booster via a deployable react github pages example.

Verdict

Solid portfolio piece or prototype starter with strong docs, tests, and React 19 hygiene, but at 12 stars and 1.0% credibility score, it's early-stage—not battle-tested for production. Fork it for custom attribution analysis if you need react typescript props patterns fast.

(198 words)

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