Ecommerce error monitoring catches the JavaScript failures, broken checkout flows, and silent crashes that Shopify analytics never show you — before your customers give up and leave.
Install free →Ecommerce error monitoring is the practice of capturing, logging, and alerting on JavaScript errors, network failures, and broken functionality that occur in real visitors' browsers as they interact with your store. Unlike synthetic testing — which runs scripts against your site in a controlled environment — error monitoring captures what's actually happening to actual shoppers on actual devices, in real-time.
The critical distinction: errors that break your store usually break it silently. A visitor on mobile Safari who hits a broken add-to-cart button doesn't leave a support ticket. They leave. You see a conversion rate dip in Shopify Analytics and have no idea why. Ecommerce error monitoring closes that gap.
General-purpose error tracking tools like Sentry or Datadog were built for software engineers monitoring complex backend systems. They're powerful, but they require developer setup, produce noise that's irrelevant to a store, and don't understand Shopify's architecture — particularly the checkout, which is sandboxed away from your theme.
Ecommerce error monitoring is different in three key ways:
The most damaging ecommerce bugs are the ones you never hear about. A 2019 study by Baymard Institute found that 17% of users who abandoned checkout did so because the site threw an error or crashed. These users don't email support. They don't leave a review. They simply don't come back.
Consider what typically goes wrong on a Shopify store in a given month:
None of these produce a support ticket. All of them reduce conversion rate. Without error monitoring, you can't see them — you can only see the downstream effect in your revenue numbers, weeks after the damage is done.
Not all error monitoring tools are built equal. When evaluating options for your store, look for these capabilities:
Synthetic testing runs scripts in a controlled environment. Real user monitoring captures what happens when actual visitors use your store. You want RUM — it's the only way to see device-specific bugs, connection-speed-specific failures, and geographic performance differences.
Raw error logs are unreadable at scale. If your store gets 10,000 visitors a day and one script throws an error on every page, you'll see 10,000 identical events. Good error monitoring groups these into a single issue, shows you the frequency trend, and surfaces the first occurrence. This is the difference between a useful tool and an overwhelming data dump.
The only metric that matters in ecommerce is revenue. Every error needs to be translated into a revenue impact estimate: how many sessions were affected, what's the conversion rate on those sessions, and what's the AOV? Without this, you can't prioritise what to fix first.
As discussed above, checkout visibility is non-negotiable. If your error monitoring tool can't see what's happening in the checkout flow, you're blind in the most critical part of your funnel.
You need to know about new errors as they happen, not when you check a dashboard on Monday morning. Good alerts fire on new issues, on regressions (a previously-resolved error returning), and on threshold breaches — not on every individual event, which would flood any Slack channel into uselessness.
Bloodhound was built specifically for Shopify stores. The monitoring script is under 5KB gzipped, loads asynchronously with no render blocking, and captures everything a developer needs to diagnose a bug:
Errors are grouped by signature into issues, each with a lifecycle: new, active, resolved, regressed. When an error is fixed and comes back, you get an alert. Revenue impact is calculated automatically using your AOV and conversion rate.
The Web Pixel handles checkout monitoring. You get every stage of the checkout funnel — pageview, add to cart, checkout started, payment submitted, order complete — with timing data and error capture at each stage.
A proper ecommerce error monitoring setup takes about five minutes. With Bloodhound:
Data appears within minutes of your first real visitor session. The first time you see a JS error that's been quietly breaking your store for weeks, you'll understand why this matters.
Let's be direct about what the alternative looks like. A store doing £500,000 in annual revenue at a 3% conversion rate on a £60 AOV sees about 2,778 orders a month from roughly 92,593 sessions. A 0.1% conversion rate drop — the kind that can happen from a single broken button on mobile — is 92 fewer orders per month, £5,520 in lost revenue. Per year, that's £66,240 in preventable loss.
The error monitoring subscription that prevents it costs $49/month. This is not a close call.
Free plan available. Takes five minutes. No developer needed.
Install free →