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Retail Media Business Case Calculator
This application helps retail media professionals generate business cases by collecting key metrics and calculating potential reach and impressions across different channels.
Features
- Clean, user-friendly form for collecting retail media data
- Automatic calculation of key metrics:
- Potential reach in-store (digital screens and radio)
- Unique impressions in-store
- Potential reach on-site
- Unique impressions on-site
- Potential reach off-site
- Unique impressions off-site
- Results saved to a JSON file for reporting
- Thank you page with confirmation message
Installation
- Clone the repository
- Install dependencies:
npm install
Running the Application
Start the server:
npm start
For development with auto-restart:
npm run dev
The application will be available at http://localhost:3000
Project Structure
index.html- Main form interface for collecting user datathank-you.html- Confirmation page after form submissionserver.js- Express server handling form submissions and routingindex.js- Business logic for calculating retail media metricsconfig.json- Configuration file with constants and coefficientsresults.json- Output file where calculation results are storedpublic/- Static assets directory
How It Works
- Users fill out the business case form with their retail media data
- The form validates input and submits data to the server
- Server processes the data using formulas in
index.js - Results are saved to
results.jsonand user is redirected to thank-you page - Retail media specialists follow up with the user with a customized business case
Technologies Used
- Node.js and Express for the backend
- HTML/CSS/JavaScript for the frontend
- TailwindCSS for styling
- Vanilla JavaScript for form validation and interactions
Configuration
The application uses a config.json file that contains constants and coefficients for the formulas. You can modify these values to adjust the calculation logic.
Development Notes
- Form styling uses a clean white design with accent colors
- Form validation ensures complete and accurate data collection
- The server includes error handling for form submissions
- Calculations are based on industry-standard formulas for retail media
Description
Languages
Python
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HTML
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JavaScript
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PowerShell
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