Go use cases

Track Failed Payments in Go

Never miss a failed charge again

View this guide for other frameworks

The problem

Failed payments are silent killers of SaaS revenue. A credit card expires. A bank declines a charge. A subscription renewal fails. And unless you have built elaborate alerting into your Go app, you might not know until the customer churns.

The typical flow is terrible: payment fails, retry fails a few days later, customer gets a dunning email they ignore, subscription cancels, customer leaves. By the time you notice, they have already found an alternative.

Most failed payments are recoverable. The customer wants to stay. They just need to update their payment method. But you need to know about the failure quickly to have a chance at saving them.

The solution

Quicklog alerts you the moment a payment fails. With a simple HTTP call and a tracking call in your handlers, you see which customer, the failure reason, and how much revenue is at risk. You can reach out immediately while the customer still remembers why they signed up.

Set up a dedicated channel for payment failures. Get notified via Slack, Discord, or email. Assign someone to follow up within hours, not days.

Track the pattern of failures too. If you see a spike in declines from a particular card type or region, you can investigate before it becomes a bigger problem in your Go app.

Why track this?

  • Instant alerts on payment failures
  • See the failure reason and amount at risk
  • Reduce involuntary churn significantly

Quick setup

Add tracking to your Go app:

Go
package main

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

// Using Quicklog REST API

// Track Failed Payments
func trackEvent(user User) error {
    body, _ := json.Marshal(map[string]interface{}{
        "channel":     "payments",
        "event":       "payment.failed",
        "description": fmt.Sprintf("%s (%s) - describe what happened", user.Name, user.Email),
        "userId":      user.ID,
        "metadata": map[string]interface{}{
            // Add relevant context here
        },
    })

    req, _ := http.NewRequest(
        "POST",
        "https://api.quicklog.io/v1/events",
        bytes.NewBuffer(body),
    )
    req.Header.Set("Authorization", "Bearer "+os.Getenv("QUICKLOG_API_KEY"))
    req.Header.Set("Content-Type", "application/json")

    _, err := http.DefaultClient.Do(req)
    return err
}

Track Failed Payments as an operational analytics workflow

This guide is built for teams that need actionable saas analytics, not just passive reports. By instrumenting track failed payments in Go, you create a reliable signal that product, growth, and support can use in real time.

In Quicklog, these events become part of a shared timeline with user context, channel grouping, and trend visibility. That makes it easier to connect day-to-day operations with larger product analytics saas goals like activation quality, retention improvement, and faster troubleshooting.

If you are evaluating saas analytics tools, this use case is a strong baseline because it combines technical implementation with clear business outcomes. It also supports adjacent workflows such as analytical crm and failed payment monitoring without requiring a separate analytics stack.

Ready to track failed payments?

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