https://github.com/rekt-developer/profitablecpmrate

Profitable CPM Rate Automation.
https://github.com/rekt-developer/profitablecpmrate

Last synced: about 2 months ago
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Profitable CPM Rate Automation.

• Host: GitHub
• URL: https://github.com/rekt-developer/profitablecpmrate
• Owner: Rekt-Developer
• License: apache-2.0
• Created: 2024-11-25T07:13:17.000Z (6 months ago)
• Default Branch: main
• Last Pushed: 2024-11-25T11:51:41.000Z (6 months ago)
• Last Synced: 2025-02-05T09:38:00.999Z (3 months ago)
• Language: Python
• Homepage: https://rekt-developer.github.io/profitablecpmrate/
• Size: 84 KB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# ProfitableCPMRate

ProfitableCPMRate is an automated script designed to track impressions, clicks, and revenue for a specific ad campaign using proxies and browser-like headers. It simulates traffic and clicks to generate data and optimize revenue for a given URL.

This project includes:

- Proxy rotation from a list of HTTPS, SOCKS4, and SOCKS5 proxies.

- Simulated click behavior to generate impressions and calculate metrics.

- A markdown report that logs performance metrics like CTR, CPM, and revenue.

- Graphical representations of the metrics over time.

## Features

- **Automated Proxy Rotation**: Uses a rotating proxy list to simulate traffic from various sources.

- **Simulated Clicks**: Randomized click generation to simulate user interaction and revenue generation.

- **Detailed Metrics**: Tracks impressions, clicks, CTR, CPM, and revenue.

- **Markdown Reports**: Provides a detailed report of metrics over time.

- **Graphical Visualizations**: Displays graphs of impressions, clicks, and revenue over time.

- **Scheduled Execution**: Can be run every 10 minutes using GitHub Actions for continuous performance tracking.

## Installation

You can run this project locally or automate it via GitHub Actions.

### Requirements

The script requires the following libraries:

- `requests`

- `matplotlib`

These can be installed via the `requirements.txt` (or directly through the GitHub Actions setup, as specified in the `.yml` file).