Track User Signups with Resend
See new user registrations in real-time
The problem
Many teams use Resend in onboarding flows for verification, welcome sequences, and lifecycle messaging. When signup events and email outcomes are separated, it is hard to know whether users are activating or getting stuck.
A raw signup count does not reveal if critical messages were delivered, delayed, or bounced. That missing context hides early friction in your funnel.
During launches, these blind spots can make conversion issues look like product problems when the bottleneck is actually email delivery.
The solution
Quicklog lets you track signup milestones with Resend delivery context in real-time. You can attach message IDs, delivery status, and onboarding step so each event explains what happened after signup.
This helps teams quickly spot verification or welcome-email issues that would otherwise slow activation. Product and support can act before users abandon onboarding.
By connecting signup and email signals, you get a clearer view of true conversion health.
Why track this?
- See signups the instant they happen
- Know which channels drive registrations
- Celebrate wins with your team in real-time
Quick setup
Handle Resend webhooks:
import { Quicklog } from '@quicklogio/node'
const quicklog = new Quicklog({ apiKey: process.env.QUICKLOG_API_KEY! })
// Handle Resend webhooks
app.post('/webhooks/resend', async (req, res) => {
const payload = req.body
// Log the webhook event
await quicklog.track({
channel: 'signups',
event: 'resend.' + (payload.type || 'event'),
description: 'Resend webhook received',
metadata: {
provider: 'resend',
eventType: payload.type,
payload
}
})
// Process the webhook...
await processWebhook(payload)
res.json({ received: true })
})Track User Signups as an operational analytics workflow
This guide is built for teams that need actionable saas analytics, not just passive reports. By instrumenting track user signups in Resend, 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 saas conversion tracking without requiring a separate analytics stack.
Ready to track user signups?
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