Track canceled subscriptions in your R application

Many R applications have a subscription model where users pay a monthly or yearly fee to use the application. These applications are called SaaS or Software as a Service application. In these applications, users are usually charged a monthly or yearly fee and can use the application for that period. In some cases, users are on a pay-as-you-go model set for each action they perform in the application.

In either of these cases, a common issue that the application usually faces is when a user cancels their subscription, also called churn. Therefore, an application's churn rate is a critical metric that can significantly affect the application's revenue and, consequently, the sustainability of the application.

Therefore, SaaS applications should actively monitor when users cancel their subscriptions, the reason for the cancellation, and the overall churn rate. This way, the application can always be aware of the performance of the application and take immediate action if needed. For example, in the case of a high churn rate, the application can take action to improve the user experience to reduce churn. Or, in the case of a high-value user canceling their subscription, the application owner can take action to retain the user.

LogSnag is a powerful, real-time event tracking tool that works seamlessly with any R application and is an excellent solution for tracking subscription cancellations and churn rates. With LogSnag, you can set up event tracking for anything you want and track when users cancel their subscription in your R application in real-time. You may also set up optional rules to notify you and your team when a user has canceled their subscription.

In addition, LogSnag allows you to track user journeys and create a timeline of events for each user. This way, you can always track the activity of a specific user, such as when they have canceled their subscription and any other activity they have done in your application.

Setting up LogSnag

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

R code snippets

To track subscription cancellations in your R application, you can use the following code snippet. Please replace the YOUR_API_TOKEN with your API token and update the project and channel names.

library(httr)

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

body = '{
  "project": "my-saas",
  "channel": "billing",
  "event": "Subscription Cancelled",
  "description": "User cancelled a startup subscription",
  "icon": "🛑",
  "notify": true
}';

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

cat(content(res, 'text'))

library(RCurl)
headers = c(
  "Content-Type" = "application/json",
  "Authorization" = "Bearer YOUR_API_TOKEN"
)
params = "{
  \"project\": \"my-saas\",
  \"channel\": \"billing\",
  \"event\": \"Subscription Cancelled\",
  \"description\": \"User cancelled a startup subscription\",
  \"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

We believe that event tracking should be simple and accessible to every developer and team. Therefore, we have worked hard to create the next generation of event tracking tools. As a result, LogSnag is flexible and easy to use, making it a great companion for your R applications.

In addition to real-time event tracking, LogSnag provides powerful features such as cross-platform push notifications, event filtering, user and product journeys, charts, insights, and more.

LogSnag 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 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 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. Track user signup events via R
24. Track waitlist signup events via R