From $8K Lost to $0 Downtime Losses in Three Months

I want to tell you about a home goods brand we started working with in March. They'd been running a Shopify Plus store for two years, spending around $15,000 per month on Meta and Google ads. And they were quietly hemorrhaging money because of funnel issues nobody was tracking.

This is an ecommerce monitoring success story, but it starts ugly.

The Mess We Found

When we ran the initial audit, here's what turned up:

  • Their checkout page threw a JavaScript error on Safari that prevented the "Place Order" button from working. This had been happening for at least six weeks.
  • The GA4 purchase event was firing twice on the order confirmation page, doubling their reported conversions and completely warping their ROAS calculations.
  • One of their three landing pages had a broken hero image that showed a gray placeholder on mobile devices.
  • Their Klaviyo signup form overlay was covering the "Add to Cart" button on screens narrower than 375px.

None of these showed up as "site down" in their basic Pingdom check. The site was up. It was functional on some devices. But it was bleeding conversions in ways that only showed up in the revenue column.

We estimated the Safari checkout bug alone cost them somewhere between $6,000 and $8,000 over those six weeks, based on their mobile Safari traffic volume and average order value of $87.

What We Set Up

We put FunnelLeaks on every critical page in their funnel: landing pages, product pages, cart, checkout, and order confirmation. Not just uptime checks. We monitored for specific elements, CTA buttons, form fields, tracking pixels, and pricing displays.

We also set up a daily automated walk-through of the full purchase flow. The system adds a product to cart, starts checkout, and verifies that each step renders correctly and that tracking events fire as expected.

Alerts go to Slack for non-critical issues (broken images, slow load times) and to phone for anything that blocks purchases (checkout errors, payment gateway failures, tracking dead).

The Results After 90 Days

Here's where this ecommerce monitoring success story gets interesting. In the three months since setup:

Zero revenue lost to undetected funnel breaks. Not because nothing broke. Things broke seven times. A theme update killed the mobile CTA. A Stripe API change caused a 30-second delay on checkout. A GA4 config change accidentally removed the purchase event. But every issue was caught within minutes and fixed within the hour.

Their reported ROAS went from an artificially inflated 4.8x (because of the double-firing conversion event) to an accurate 3.1x. That's a lower number, but it's the real number. And knowing the real number let them reallocate budget to campaigns that were actually performing.

The client's own words: "We had no idea how much we were losing before."

What You Can Take From This

This isn't a story about one magic tool fixing everything. It's about watching the right things in the right places. Your e-commerce funnel has dozens of failure points, and basic uptime monitoring catches maybe 20% of them.

If you're running an e-commerce store with any meaningful ad spend, you owe it to yourself to monitor your funnel properly. Check FunnelLeaks pricing and see what fits. Or at minimum, walk through your own checkout flow on three different devices this week. You might be surprised what you find.