18, Jun 2023

TRACK WAITLIST SIGNUP EVENTS WITH PYTHON LANGUAGE

Palzin Track Python Use Cases

Track waitlist signup events via Python

Say you have just come up with a great new product idea, and you're seriously considering turning it into a real product. Or maybe you have been working on a product for a while and are almost ready to launch it.

Usually, for both of these cases, developers create a prelaunch landing page before launching the product and set up a waitlist to collect user emails and monitor the demand for the product.

The prelaunch landing page is a great way to get your product idea out to the world and to get people interested in your product or idea. It also allows you to gather user feedback and get their input into your product.

Palzin Track makes it easy to set up and track a prelaunch waitlist for your product or idea using Python. It is a simple event tracking tool that allows you to track, analyze and create reports from your waitlist data.

Connect Palzin Track to Python


Setting up Palzin Track

  1. Sign up for a free Palzin Track account.
  2. Create your first project from the dashboard.
  3. Head to settings and copy your API token.

Python code snippets

Simply use the following code snippets to send your waitlist signup events to Palzin Track. Make sure to replace the YOUR_API_TOKEN with your API token and update the project and channel names.

Using Python with http.client


import http.client  


import json  


conn = http.client.HTTPSConnection("palzin.live")  


payload = json.dumps({  


 "project": "my-project",  


 "channel": "auth",  


 "event": "Waitlist Member Added",  


 "description": "email: [email protected]",  


 "icon": "⏰",  


 "notify": True  


})  


headers = {  


 'Content-Type': 'application/json',  


 'Authorization': 'Bearer YOUR_API_TOKEN'  


}  


conn.request("POST", "/api/v1/log", payload, headers)  


res = conn.getresponse()  


data = res.read()  


print(data.decode("utf-8"))

Using Python with Requests


import requests  


import json  


url = "https://api.palzin.live/v1/log"  


payload = json.dumps({  


 "project": "my-project",  


 "channel": "auth",  


 "event": "Waitlist Member Added",  


 "description": "email: [email protected]",  


 "icon": "⏰",  


 "notify": True  


})  


headers = {  


 'Content-Type': 'application/json',  


 'Authorization': 'Bearer YOUR_API_TOKEN'  


}  


response = requests.request("POST", url, headers=headers, data=payload)  


print(response.text)

Python integration details

Palzin Track is a versatile event tracking tool that isn't limited to specific use cases. It empowers you to monitor a wide range of events, whether it's tracking prelaunch waitlist signups or beta signups for a new feature or product. It works seamlessly with Python and is very easy to use.

Furthermore, Palzin Track allows you to generate charts and analytics based on your data. For instance, you have the flexibility to craft a chart illustrating the daily or monthly influx of waitlist signups for your product.

Additionally, you have the capability to establish funnels for monitoring the conversion rate from waitlist signups to paying customers, features usage in your application. Furthermore, you can generate user journeys to observe how users interact with your product once they gain access to it.

Palzin Track is accessible on both desktop and mobile platforms, offering the convenience of real-time notifications upon the addition of waitlist signups. You also have the flexibility to opt for push notifications for any other events you wish to track from your Python code.

Other use-cases for Palzin Track

  1. Monitor your CI/CD build status for your Python application
  2. Monitor your CPU usage in your Python application
  3. Monitor when database goes down in your Python application
  4. Monitor high disk usage in your Python application
  5. Monitor when a user changes their email address in your Python application
  6. Monitor failed logins in your Python application
  7. Monitor failed payments for your Python application
  8. Monitor memory usage in your Python application
  9. Monitor MySQL downtime in your Python application
  10. Monitor when a new feature is used in your Python application
  11. Monitor your Postgres downtime in your Python application
  12. Monitor Redis downtime in your Python application
  13. Monitor suspicious activity in your Python application
  14. Monitor when a user exceeds the usage limit for your Python service
  15. Monitor when a user is being rate limited in your Python application
  16. Get a notification when your Python code is done executing
  17. Send push notifications to your phone or desktop using Python
  18. Track canceled subscriptions in your Python application
  19. Track your Python cron jobs
  20. Track when a file is uploaded to your Python application
  21. Track when a form is submitted to your Python application
  22. Track payment events via Python
  23. Track user sign in events in Python
  24. Monitor user signup events via Python

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