How to Connect AfterShip with Datadog RUM (2026)

Why Connect AfterShip with Datadog RUM

AfterShip is a shipment tracking platform that provides real-time package tracking, branded tracking pages, and delivery notifications for ecommerce businesses. Datadog RUM (Real User Monitoring) is a performance monitoring tool that captures real user interactions on your website or application, tracking page load times, errors, user sessions, and frontend performance metrics. Connecting AfterShip with Datadog RUM enables ecommerce teams to monitor the performance of their tracking pages, identify user experience issues during the delivery tracking flow, and correlate shipping events with customer behavior on their website.

When customers check their order status, they expect a fast, reliable experience. If your AfterShip tracking page loads slowly or throws errors, it directly impacts customer satisfaction during one of the most anxious points in the purchase journey. Datadog RUM gives you visibility into this experience.

What This Integration Does

An AfterShip-Datadog RUM integration enables:

• Monitor the performance of AfterShip branded tracking pages as experienced by real users, including page load times, JavaScript errors, and API call latency.
• Track user sessions on your tracking pages to understand how customers interact with delivery status updates, estimated delivery dates, and upsell widgets.
• Set up alerts in Datadog when AfterShip tracking page performance degrades, AfterShip API response times increase, or error rates spike.
• Correlate shipping events from AfterShip with user behavior data from Datadog RUM to identify patterns, such as customers who check tracking more frequently during delivery delays.
• Create Datadog dashboards that combine AfterShip delivery metrics with website performance data for a unified view of the customer delivery experience.

Native vs Third-Party Integration

AfterShip and Datadog do not offer a native direct integration between AfterShip's tracking features and Datadog RUM. However, there are effective ways to connect them.

The most common approach is to instrument your AfterShip tracking pages with the Datadog RUM SDK. If you use AfterShip's branded tracking page embedded on your own domain, you can add the Datadog RUM JavaScript snippet to the page to capture user interactions and performance data. For AfterShip's API data, you can send tracking events to Datadog through custom metrics or logs using Datadog's API.

For event-driven workflows, Zapier or Make can send AfterShip webhook events to Datadog's custom events API, allowing you to track shipping milestones alongside your RUM data. n8n is another option for self-hosted event routing.

Step-by-Step Setup

Step 1: Set Up Datadog RUM

Log into Datadog and navigate to UX Monitoring > RUM Applications. Click New Application and select your application type (JavaScript for web tracking pages). Datadog will generate a RUM initialization snippet with your client token and application ID. Copy this snippet.

Step 2: Add Datadog RUM to Your Tracking Page

If you host AfterShip's branded tracking page on your own domain (using AfterShip's embedded widget or custom integration), add the Datadog RUM JavaScript snippet to the page's HTML. Place it in the head section before other scripts to capture the full page load. Configure the initialization with your application ID, client token, site parameter, and session sample rate.

Step 3: Configure Custom Actions and Events

Set up custom RUM actions to track specific user interactions on the tracking page. Use Datadog's RUM SDK to log events when users click on tracking details, expand delivery updates, or interact with upsell widgets. This gives you granular visibility into how customers use the tracking experience.

Step 4: Set Up AfterShip Webhooks to Datadog

In AfterShip, configure webhooks under Settings > Notifications > Webhooks. Create a webhook that sends tracking events to a middleware endpoint. Use a simple serverless function (AWS Lambda, Cloudflare Workers, or similar) to receive AfterShip webhook payloads, transform them into Datadog custom events, and forward them to Datadog's Events API. This lets you see shipping milestones alongside RUM session data.

Step 5: Build Dashboards and Alerts

In Datadog, create a dashboard that combines RUM performance data with AfterShip tracking events. Include widgets showing tracking page load times, error rates, most common user actions, and a timeline of shipping events. Set up monitors that alert your team when tracking page performance drops below your threshold or when AfterShip API errors spike.

Common Use Cases

• Tracking page performance monitoring: Ensure that your branded AfterShip tracking pages consistently load within acceptable timeframes across different devices and regions.
• Error detection and debugging: Identify JavaScript errors, broken API calls, or rendering issues on tracking pages that could frustrate customers trying to check their order status.
• User session replay: Use Datadog's Session Replay feature to watch recordings of how customers interact with the tracking page, identifying UX friction points.
• Delivery delay impact analysis: Correlate AfterShip delivery delay events with increased tracking page visits in Datadog RUM to understand how delays affect customer behavior.
• Peak traffic preparation: Monitor tracking page performance during sales events like Black Friday to ensure AfterShip pages handle increased traffic without degradation.

Tips and Best Practices

• Sample appropriately: If your tracking pages receive high traffic, configure Datadog RUM's session sample rate to balance data completeness with cost. A 10 to 25 percent sample rate is often sufficient for performance monitoring.
• Use Datadog's Core Web Vitals tracking: Datadog RUM automatically captures Core Web Vitals (LCP, FID, CLS) for your tracking pages. Monitor these metrics to ensure the pages meet Google's performance standards.
• Tag sessions with order data: Use Datadog RUM's custom attributes to tag user sessions with order-related metadata (order value, shipping carrier, destination country) for more granular analysis.
• Set meaningful alert thresholds: Base your Datadog alert thresholds on your actual tracking page performance baseline, not arbitrary values. Establish a baseline over two weeks before configuring alerts.
• Monitor third-party resource impact: Datadog RUM tracks all resources loaded on the page, including third-party scripts from AfterShip. Identify if any AfterShip resources are causing performance bottlenecks.
• Coordinate with AfterShip support: If Datadog RUM reveals consistent API latency issues from AfterShip's endpoints, share the data with AfterShip's support team to help them diagnose and resolve the issue.