Track Canceled Subscriptions in Your Go Application

Managing subscriptions is a critical aspect of any Go application that offers services on a recurring basis. Tracking canceled subscriptions allows you to stay informed about user churn and take necessary actions to retain customers and improve your application’s subscription offerings.

Saashound, a powerful real-time event tracking tool, offers seamless tracking of canceled subscriptions in your Go application. By integrating Saashound directly into your application, you can effortlessly track when users cancel their subscriptions and gain valuable insights to optimize your subscription strategy.

Connecting Saashound to Your Go Application

To begin tracking canceled subscriptions in your Go application using Saashound, follow these simple steps:

1. Sign up for a free Saashound account to start tracking your application’s events.
2. Create your first project from the user-friendly dashboard.
3. Access the settings and securely copy your unique API token.

Go Integration

Integrating Saashound into your Go application is straightforward. Use the following code snippet to track canceled subscriptions. Remember to replace API_TOKEN with your actual Saashound API token and update the project name to match your project.

package main

import (
  "bytes"
  "encoding/json"
  "fmt"
  "net/http"
)

func logEvent() {
  apiURL := "https://api.saashound.co/log-event"
  payload := map[string]interface{}{
    "project":     "my-project",
    "channel":     "user-activity",
    "event":       "Subscription Canceled",
    "description": "User ID 12345 has canceled their subscription.",
    "icon":        "🚫",
    "notify":      true
  }

  payloadBytes, err := json.Marshal(payload)
  if err != nil {
    fmt.Println("Error marshaling payload:", err)
    return
  }

  req, err := http.NewRequest("POST", apiURL, bytes.NewReader(payloadBytes))
  if err != nil {
    fmt.Println("Error creating request:", err)
    return
  }

  req.Header.Set("Content-Type", "application/json")
  req.Header.Set("Authorization", "Bearer API_TOKEN")

  client := http.DefaultClient
  resp, err := client.Do(req)
  if err != nil {
    fmt.Println("Error sending request:", err)
    return
  }
  defer resp.Body.Close()

  if resp.StatusCode >= 200 && resp.StatusCode < 300 {
    fmt.Println("Log event sent successfully!")
  } else {
    fmt.Println("Failed to send log event. Response code:", resp.StatusCode)
  }
}

func main() {
  logEvent()
}

With Saashound tracking canceled subscriptions, you can:

• Real-Time Insights: Receive real-time insights when users cancel their subscriptions, allowing you to take immediate action.
• Subscription Analytics: Analyze historical data on canceled subscriptions to identify trends and patterns, helping you optimize your subscription strategy.
• User Retention Strategies: Use the data to implement targeted user retention strategies and reduce churn.
• Custom Alerts: Set up custom alert rules to notify your team when significant subscription cancellations occur.

Saashound Benefits

Saashound is designed to be user-friendly and accessible to developers and teams of all sizes. Here are some key benefits of using Saashound for tracking canceled subscriptions in your Go application:

• Ease of Use: Saashound offers a no-code event tracking solution, making it simple for anyone to implement and use.
• Flexibility: Saashound can track various subscription-related events, ensuring comprehensive monitoring of canceled subscriptions.
• Cross-Platform Support: Saashound’s cross-platform push notifications deliver alerts to your preferred devices, keeping you informed from anywhere.
• Event Filtering: Customize which subscription-related events to track and receive notifications for, focusing on the most critical data.
• Insights and Analytics: Utilize Saashound’s charts and analytics to visualize subscription data and gain valuable insights.

By leveraging Saashound’s tracking capabilities, you can improve your Go application’s subscription management, enhance user retention, and make data-driven decisions to optimize your subscription offerings.