Monitor When a New Feature is Used in Your Python Application

Introducing new features to your Python application is an exciting way to enhance user experience and provide added value to your users. Monitoring the adoption and usage of these new features is essential to gauge their success, understand user behavior, and make data-driven decisions to further improve your application.

Saashound, a powerful real-time event tracking tool, offers seamless monitoring for new feature usage in your Python application. By integrating Saashound directly into your application, you can effortlessly track when a new feature is used in real-time and gain valuable insights into its adoption and impact on user engagement.

Connecting Saashound to Your Python Application

To begin monitoring new feature usage in your Python application using Saashound, follow these simple steps:

1. Sign up for a free Saashound account to start tracking your application’s events.
2. Create your first project from the user-friendly dashboard.
3. Access the settings and securely copy your unique API token.

Python Integration

Integrating Saashound into your Python application is straightforward. Use the following code snippet to start tracking new feature usage. Remember to replace API_TOKEN with your actual Saashound API token and update the project name to match your project.

import json
import requests

def log_event():
    api_url = 'https://api.saashound.co/log-event'
    payload = {
        "project": "my-project",
        "channel": "user-activity",
        "event": "New Feature Usage",
        "description": "A user has used the new feature 'Feature Name'.",
        "icon": "✨",
        "notify": True  # Replace with the appropriate value
    }

    headers = {
        'Content-Type': 'application/json',
        'Authorization': 'Bearer API_TOKEN'  # Replace API_TOKEN with your actual API token
    }

    try:
        response = requests.post(api_url, data=json.dumps(payload), headers=headers)

        if 200 <= response.status_code < 300:
            print('Log event sent successfully!')
        else:
            print('Failed to send log event. Response code:', response.status_code)
    except requests.exceptions.RequestException as error:
        print('Error sending log event:', error)

log_event()

With Saashound monitoring new feature usage, you can:

• Real-Time Notifications: Receive instant notifications when users interact with new features, enabling you to assess adoption and impact promptly.
• Custom Tracking: Set up custom event tracking for each new feature, tailoring the monitoring to your specific requirements.
• User Behavior Analysis: Analyze user behavior around new features to understand user engagement and improve feature design.
• Data-Driven Decision Making: Utilize data on new feature usage to make informed decisions and prioritize future development efforts.

Saashound Benefits

Saashound is designed to be user-friendly and accessible to developers and teams of all sizes. Here are some key benefits of using Saashound for monitoring new feature usage in your Python application:

• Ease of Use: Saashound offers a no-code event tracking solution, making it simple for anyone to implement and use.
• Flexibility: Saashound can track various user interactions, ensuring comprehensive monitoring of new feature usage.
• Cross-Platform Support: Saashound’s cross-platform push notifications deliver alerts to your preferred devices, keeping you informed from anywhere.
• Event Filtering: Customize which feature-related events to track and receive notifications for, focusing on the most critical data.
• Insights and Analytics: Utilize Saashound’s charts and analytics to visualize new feature usage data and gain valuable insights.

By leveraging Saashound’s new feature usage monitoring capabilities, you can gain valuable insights into your Python application’s feature adoption, engage with users effectively, and continuously improve the overall user experience.