https://github.com/aby-ss/email-evaluator-model

AI model to analyze and rate emails based on effectiveness, helping agency owners improve reply rates and conversion rates with actionable insights.
https://github.com/aby-ss/email-evaluator-model

ai-model nlp nltk text-processing

Last synced: 1 day ago
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AI model to analyze and rate emails based on effectiveness, helping agency owners improve reply rates and conversion rates with actionable insights.

• Host: GitHub
• URL: https://github.com/aby-ss/email-evaluator-model
• Owner: Aby-ss
• License: mit
• Created: 2024-08-10T14:44:43.000Z (5 months ago)
• Default Branch: main
• Last Pushed: 2024-08-14T14:40:21.000Z (5 months ago)
• Last Synced: 2024-08-14T21:38:19.602Z (5 months ago)
• Topics: ai-model, nlp, nltk, text-processing
• Language: Python
• Homepage:
• Size: 13.7 KB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

        
Email-Evaluation-Model: Optimize Your Email Effectiveness 📧


**Email-Analyzer** is a powerful tool designed to help agency owners craft emails that convert. By leveraging AI, it analyzes and rates emails based on key parameters such as reply rates and conversion rates, providing actionable insights to enhance your email outreach strategy.

### Features ✨

Email-Analyzer offers a suite of essential features to improve your email campaigns:

- **Email Rating**: Get an AI-driven rating for your emails based on their potential effectiveness.

- **Reply Rate Prediction**: Predict how likely your emails are to get a response.

- **Conversion Rate Analysis**: Evaluate the potential conversion rate of your email campaigns.

- **Detailed Feedback**: Receive specific recommendations on how to improve your emails.

- **Easy Integration**: Integrate Email-Analyzer with your existing tools and workflows.

### Getting Started 🚀

To start using Email-Analyzer, follow these simple steps:

1. **Clone the Repo**: Clone the GitHub repository to your local machine.

2. **Install Dependencies**: Install the required Python packages using `pip install -r requirements.txt`.

3. **Analyze Emails**: Start analyzing and rating your emails to optimize their performance.

### Contributing 🤝

We welcome contributions to Email-Analyzer! If you're interested in improving this tool, please contact the owner.

### Support 💬

Need help? Our support team is available to assist you. Reach out to us at [email protected] or visit our [Support Center](#).

### License 📄

Email-Analyzer is licensed under the MIT License.