Most of the time, when building a R 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 R 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 R product.
An easy way to set up event tracking is to use LogSnag, a simple event tracking tool that works seamlessly with R.
Start monitoring user sign-in events
- Sign up for a free LogSnag account.
- Create your first project from the dashboard.
- Head to settings and copy your API token.
R code snippets
All you have to do next is to copy the following code snippets into your R code and replace the
YOUR_API_TOKEN and project values with your API token and project name.
Using R with httr
Using R with RCurl
R integration details
LogSnag is a simple event tracking tool that works seamlessly with R and makes it easy to track almost anything in your R code.
LogSnag allows you to track your important events in real-time and create timelines of your events. It also makes it easy to create custom metrics and charts such as the number of sign-in attempts per day, the conversion funnels for users who sign up and sign in, and other such metrics.
You may also create simple or complex user journeys for tracking and monitoring individual user journeys through your product.
LogSnag is also available on desktop, mac, iOS, and Android and allows you to receive real-time updates and push notifications when your users sign in, sign out, or use your product.
Other use-cases for LogSnag
- Monitor your CI/CD build status for your R application
- Monitor your CPU usage in your R application
- Monitor when database goes down in your R application
- Monitor high disk usage in your R application
- Monitor when a user changes their email address in your R application
- Monitor failed logins in your R application
- Monitor failed payments for your R application
- Monitor memory usage in your R application
- Monitor MySQL downtime in your R application
- Monitor when a new feature is used in your R application
- Monitor your Postgres downtime in your R application
- Monitor Redis downtime in your R application
- Monitor suspicious activity in your R application
- Monitor when a user exceeds the usage limit for your R service
- Monitor when a user is being rate limited in your R application
- Get a notification when your R code is done executing
- Send push notifications to your phone or desktop using R
- Track canceled subscriptions in your R application
- Track your R cron jobs
- Track when a file is uploaded to your R application
- Track when a form is submitted to your R application
- Track payment events via R
- Track user signup events via R
- Track waitlist signup events via R