That "$5,600/minute of downtime" stat you've seen everywhere isn't about you
Every time downtime comes up somewhere, someone cites Gartner's $5,600/minute, or IDC's $1M/hour, or some version of Amazon's ~$13M/hour math. We actually traced where these numbers come from, and none of them apply to a small SaaS or marketing site.
The Gartner number is the midpoint of a 2014 survey of enterprise IT outages — ERP systems, internal tools, back-office stuff, not a marketing site going down for 4 minutes. IDC's number comes from Fortune 1000 companies specifically chosen for having the largest cost exposure. Amazon's is just annual revenue divided by seconds in a year, which assumes every second converts to revenue at the same rate — it doesn't, nobody's buying at 3am at the same pace as during a sale.
So what should you actually use instead? We ended up with a simpler framework: direct revenue lost during the outage, internal team time spent responding, recovery costs (refunds, support tickets), and reputation cost (hardest to estimate, usually smallest for a single incident). For most small sites the real number is way lower than the headlines — which honestly makes for a more honest conversation about whether monitoring is worth it, instead of "your downtime costs $5,600/minute, buy this."
Made a free calculator if you want your own number instead of the headline one: https://webpixie.io/free-tools
Curious what people actually land on when they run their own numbers — higher or lower than you expected?
The average hides the one case where it really bites for a small site: downtime during a launch day, a newsletter send or a paid campaign. Traffic in those few hours can be twenty times a normal day, so the cost per minute is wildly uneven. I would add a question to the calculator about planned traffic spikes, because that is usually the moment people decide monitoring was worth it, after the fact.
Fair point. The calculator is a standalone utility — it only knows a percentage and a revenue figure, so it spreads everything evenly across 24/7. Ten minutes on launch day and ten minutes at 3am on a Tuesday come out identical, which is the same flat-rate assumption I was complaining about in the Amazon math, just at a smaller scale.
The part that actually knows when you went down is the monitoring side — incidents carry a start time and duration. We don't weight cost by that yet, but that's the layer where it belongs. A static calculator can't know the shape of your traffic, and making people type it in mostly just moves the guesswork somewhere else.
Lower than expected, and instructively so. I ran the equivalent honestly for my own site and the answer was zero, because the page in question had four visits in thirty days. There is no revenue to lose during an outage nobody was around for.
That is the part the borrowed stat hides. It lets a site with no traffic believe it has an availability problem when it actually has a distribution problem, and monitoring is a much more comfortable thing to buy than the uncomfortable thing.
Which makes me think your calculator's most valuable output might not be the cost figure. It is that it forces someone to type in their real traffic, and a fair number will either not know it or be unpleasantly surprised. If the result comes back near zero, saying that plainly and saying what it means would be more useful than a number, and it is the sort of honesty people remember a tool for.
"A distribution problem, not an availability problem" is the sharpest line in this thread, and it's the failure mode I didn't name properly in the post. Monitoring is an easy thing to buy precisely because it sits next to the real problem without being it.
You're also right that the calculator tool doesn't do the one honest thing it could — it prints a number and stops. If the output is effectively zero it should say so in words and say what that means, instead of dressing it up as a cost. That's a small change and probably a better use of the tool than the cost figure itself.
It also changes what's worth watching at that stage. If the problem is distribution, uptime is the least interesting signal on the site — whether you're actually indexable, whether a cert or domain is quietly about to lapse, whether half the internal links 404. Those are the things keeping the traffic from arriving in the first place, and they fail silently in a way an outage doesn't.
The calculator is useful if the number changes the decision, not just replaces one headline with another. Have businesses actually changed their monitoring spend after seeing their real downtime cost?
Honest answer: I can't tell you, and not because it's too early. The calculator is a one-off utility on the site — no signup, nothing tracked, nobody followed from a calculation into a decision. So there's no funnel I can point at and claim a number changed someone's spend.
I'd push back on the premise a little, though. For most people I don't think the number decides it either way. If it comes out small, monitoring costs so little that there was never really a tradeoff to weigh. If it comes out big, you're already the kind of business that knew outages hurt before a calculator told you. Either way the figure confirms something rather than changing it.
The question that does seem to decide it is a different one: would you even find out? Most small outages aren't expensive, they're invisible. A site can be down for hours and the first person to notice is you, three days later, by accident. That gap is what people are actually buying against — not the cost.
That “would you even find out?” distinction is much more interesting than the cost estimate itself. If you’re open to it, what’s the best email to reach you on?
Sure — easiest is the contact form at webpixie.io/contact, it comes straight to us. Happy to get into it there.