$41,000 in Ad Spend, and Nobody Was Watching

This happened in February 2026. A mid-size SaaS company was running Google Ads campaigns across 23 landing pages. Monthly ad budget: $41,000. They had basic uptime monitoring through Pingdom, and their pages showed green across the board.

But here's what their monitoring wasn't catching. Seven of those 23 landing pages had form submission errors. The forms loaded. They looked fine. But clicking "Submit" returned a silent 422 error because their backend API had been updated and the form payloads no longer matched the expected schema. Customers filled out the form, clicked submit, and nothing happened.

Over three weeks, roughly $14,800 in ad spend went to pages with broken forms. This is the ad spend saved monitoring case study I wish I'd been able to share earlier, because it could have been caught on day one.

How We Caught It

The company brought us in after their marketing team noticed lead volume had dropped 30% despite stable traffic numbers. Classic symptom. Traffic's fine, conversions are tanking, and nobody can figure out why.

We set up FunnelLeaks to run browser-based checks on every landing page. Not just HTTP status checks. Full interaction tests that filled out the forms and confirmed the submission went through. Within the first scan, we identified the seven broken pages.

The fix took about two hours once the dev team understood the API schema mismatch. The hard part wasn't fixing it. The hard part was the three weeks of wasted spend before anyone knew there was a problem.

What This Ad Spend Saved Monitoring Case Study Teaches Us

There's a pattern I see over and over in these situations. It comes down to a gap between what's monitored and what actually matters.

Uptime monitoring answers one question: is the server responding? That's important but insufficient. Your page can be "up" while being completely useless to a visitor. Broken forms, dead buttons, missing images, redirect loops to the wrong page. All of these pass an uptime check and fail a customer experience check.

The lesson from this case study is blunt. If your monitoring doesn't test the actual user journey, you're wasting money and you just don't know it yet.

The Numbers After Fixing

After we fixed the broken forms and set up continuous monitoring, here's what happened over the next 30 days:

  • Lead volume recovered to pre-breakage levels within a week
  • Cost per lead dropped 22% because ad spend was no longer going to dead-end pages
  • Three additional issues were caught and fixed within the first month (a broken promo code input, a redirect loop on one page, and a Stripe payment widget failing to load)

The monitoring cost was a fraction of what they'd been losing. That math isn't even close.

What You Should Check Right Now

Pull up your ad account. Look at every landing page you're actively spending money on. Now ask yourself: have I actually submitted the form on each of those pages this week? Have I completed a test purchase? Have I clicked every button?

If the answer is no, you're trusting that everything works based on hope. And hope isn't a monitoring strategy.

You don't need to wait for a disaster to act on this ad spend saved monitoring case study. Set up checks that test what your customers actually experience. If something breaks at midnight, you should know by 12:05, not three weeks later when someone finally looks at the conversion data. See FunnelLeaks pricing and stop letting broken pages eat your budget.