Published on July 3, 2022

Track user signup events via R

Track user signup events via R

When we are building a website or application with R, we often require our users to sign up for an account before they can access or use our service. This is a common requirement for many services as it allows us to track usage more efficiently, monitor growth, and avoid abuse.

Unfortunately, this process has certain downsides, such as introducing additional friction to our service and making the users go through extra steps before accessing our service.

Thus, tracking user activity when visiting our service and tracking how many go through the signup process and drop off before they use our service is essential. By monitoring the signup process, we can better understand how our visitors interact with our R service and find and fix any issues they may encounter.

LogSnag makes it easy to track events such as user registration directly within your R code. As a result, it helps you better understand how your users interact with your product and how your product is performing.


Setting up your account

Setting up LogSnag with R is very simple!

  1. Create a free LogSnag account.
  2. Create a new project on your dashboard.
  3. Copy your API token from the settings page.

R code snippets

Once your LogSnag account is set up, you can use the following code snippets to track user signup events. Just replace the YOUR_API_TOKEN with your LogSnag API token and update your project name.

Using R with httr
library(httr)

headers = c(
'Content-Type' = 'application/json',
'Authorization' = 'Bearer YOUR_API_TOKEN'
)

body = '{
"project": "my-saas",
"channel": "auth",
"event": "User Registered",
"description": "email: john@doe.com",
"icon": "🔥",
"notify": true
}';

res <- VERB("POST", url = "https://api.logsnag.com/v1/log", body = body, add_headers(headers))

cat(content(res, 'text'))
Using R with RCurl
library(RCurl)
headers = c(
"Content-Type" = "application/json",
"Authorization" = "Bearer YOUR_API_TOKEN"
)
params = "{
\"project\": \"my-saas\",
\"channel\": \"auth\",
\"event\": \"User Registered\",
\"description\": \"email: john@doe.com\",
\"icon\": \"🔥\",
\"notify\": true
}"
res <- postForm("https://api.logsnag.com/v1/log", .opts=list(postfields = params, httpheader = headers, followlocation = TRUE), style = "httppost")
cat(res)

R integration details

LogSnag is a simple event tracking tool that works seamlessly with your R code. With it, you can track any event within your R application. It also allows you to create simple charts and track user journeys to help you better understand your product. LogSnag also enables you to receive real-time push notifications on your desktop and mobile devices whenever a new user creates an account on your website or application.

Other use-cases for LogSnag

  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 when a user changes their email address in your R application
  6. Monitor failed logins in your R application
  7. Monitor failed payments for your R application
  8. Monitor memory usage in your R application
  9. Monitor MySQL downtime in your R application
  10. Monitor when a new feature is used in your R application
  11. Monitor your Postgres downtime in your R application
  12. Monitor Redis downtime in your R application
  13. Monitor suspicious activity in your R application
  14. Monitor when a user exceeds the usage limit for your R service
  15. Monitor when a user is being rate limited in your R application
  16. Get a notification when your R code is done executing
  17. Send push notifications to your phone or desktop using R
  18. Track canceled subscriptions in your R application
  19. Track your R cron jobs
  20. Track when a file is uploaded to your R application
  21. Track when a form is submitted to your R application
  22. Track payment events via R
  23. Track user sign in events in R
  24. Track waitlist signup events via R
View all common use-cases with R