Most of the time, when building a Python product that requires users to authenticate and sign in to access the product, you may decide that it is essential to track the sign-in attempts.
Monitoring the sign-in events is an excellent way to track the number of users who continue to log in and use your Python application. This is a great way to gauge the effectiveness of your product and measure your user retention rate.
A good understanding of this metric is critical to the success of a product. It can give you great insight into how your business grows and how your users interact with your Python product.
An easy way to set up event tracking is to use Palzin Track, a simple event tracking tool that works seamlessly with Python.
Connect Palzin Track to Python
All you have to do next is to copy the following code snippets into your Python code and replace the YOUR_API_TOKEN
and project values with your API token and project name.
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": "User Signed In",
"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": "User Signed In",
"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)
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 makes it easy to track almost anything in your Python code.
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.
Palzin Track reveals the human stories behind your data. Make user-centric decisions that drive growth.