08, Aug 2023


Palzin Track R Use Cases

Monitor when a user changes their email address in your R application

When developing a R application for user service, it becomes necessary to store user email addresses within your database for a variety of purposes. These include sending welcome emails upon user sign-up, facilitating password reset emails when requested, or notifying users when they're mentioned in comments. Moreover, email addresses are commonly utilized for user authentication and authorization.

In many instances, users may wish to change their email addresses while using your application, driven by reasons like mistyped addresses during sign-up or personal email updates. In any case, it is vital to implement email address change tracking within your R application to stay continuously informed about such modifications and ensure your database remains up-to-date.

Fortunately, Palzin Track offers a robust solution to tackle this challenge. Palzin Track serves as a potent, real-time event tracking tool seamlessly compatible with a wide range of R applications. It simplifies the process of tracking significant events within your R application, allowing you to monitor user activities, their journeys, and more.

One prominent use case for Palzin Track involves the real-time event tracking of user email address changes in your R application. Additionally, you can choose to configure notification rules to alert you and your team when users modify their email addresses in your R application.

Furthermore, Palzin Track enables you to monitor user journeys and create a timeline that chronicles their actions, including email address history and other activities conducted within your application. This capability empowers you to maintain a constant watch over individual user activities, such as email address updates and other interactions occurring within your application.

Connect Palzin Track to R

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.

R code snippets

Use the following code snippet to track when a user changes their email address in your R application. All you need to do is to replace the YOUR_API_TOKEN with your Palzin Track API token and update the project name to your project name.

Using R with httr


headers = c(  

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

 'Authorization' = 'Bearer YOUR_API_TOKEN'  


body = '{  

 "project": "my-project",  

 "channel": "profile",  

 "event": "Updated Email Address",  

 "description": "User updated their email address to [email protected]",  

 "icon": "📭",  

 "notify": true  


res VERB("POST", url = "https://api.palzin.live/v1/log", body = body, add_headers(headers))  

cat(content(res, 'text'))

Using R with RCurl


headers = c(  

 "Content-Type" = "application/json",  

 "Authorization" = "Bearer YOUR_API_TOKEN"  


params = "{  

 \"project\": \"my-project\",  

 \"channel\": \"profile\",  

 \"event\": \"Updated Email Address\",  

 \"description\": \"User updated their email address to [email protected]\",  

 \"icon\": \"📭\",  

 \"notify\": true  


res postForm("https://api.palzin.live/v1/log", .opts=list(postfields = params, httpheader = headers, followlocation = TRUE), style = "httppost")  


R integration details

Palzin Track provides a set of powerful features such as cross-platform push notifications, event filtering, user and product journeys, charts, insights, and more. In addition, Palzin Track is flexible and easy to use, making it a great companion for your R applications.

Palzin Track provides a generous free plan to get you started with event tracking. You can also check out our pricing page to see our paid plans. So don't hesitate to give us a try and let us know what you think!

Other use-cases for Palzin Track

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

Go Beyond the Metrics. Understand the Why.

Palzin Track reveals the human stories behind your data. Make user-centric decisions that drive growth.