Traditional Google Ads management focuses on ROAS (Return on Ad Spend). However, high-ROAS campaigns can often be unprofitable when accounting for variable margins, COGS (Cost of Goods Sold), and fulfillment overhead.
ProfitGuard AI is a "Profit-Aware" dashboard designed to solve the ROAS vs. Profit mismatch across all major ad platforms (Google, Meta, TikTok).
- Define Economics: Set your product COGS (%) using the Business Economics panel. The app instantly recalculates "Real Profit" for every campaign.
- Universal Import: Upload a CSV report from Google, Meta, or TikTok. Our smart parser auto-detects columns like "Amount Spent" and "Conversion Value."
- Analyze: The Action Plan engine audits your data to find:
- "Bleeders": Campaigns with negative margins despite high revenue.
- "Scalers": High-profit opportunities ready for budget increases.
- "Platform Shifts": Opportunities to move budget from expensive Search to cheaper Social channels.
- Distribute: Use the Copy Report feature to generate a formatted text audit instantly—ready for Slack, Email, or CRM updates.
- Protect: Visualize "Safety Guards" that would auto-pause ads breaching your profit floor.
Stop managing platforms in silos. Our smart parser auto-normalizes headers from all major ad networks.
- Supported: Google Ads, Meta (FB/IG), TikTok, Pinterest.
The Action Plan acts as an automated strategist. It identifies immediate waste and unit-economic flaws.
- One-Click Report: Copy a professional, text-formatted audit summary to your clipboard.
Model complex business economics with one-click presets for SaaS, Manufacturing, Retail, and Dropshipping.
Want to run ProfitGuard locally or contribute?
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Clone the repo:
git clone [https://github.com/mikedsayre/ProfitGuard-AI.git](https://github.com/mikedsayre/ProfitGuard-AI.git) cd ProfitGuard-AI -
Install dependencies:
npm install
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Start the dev server:
npm run dev
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Build for production:
npm run build
Built by Mike Sayre - Swan Lake Digital Senior MarTech & AI Strategist
Disclaimer: This is a portfolio application demonstrating MarTech logic and UI/UX design. Use in production environments requires a valid ad network developer token.
