Calculator · runs in your browser
What one hour
of downtime costs
When the site or a bot is down, ads keep spending, leads walk away and the team waits. Work out the price of one hour and one incident, and compare it with the price of making sure it doesn't happen again.
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- Formulas are open on the page
- Our prices are the “from” prices of the service pages
Calculated right in your browser. Nothing leaves this page until you press the button yourself
Verdict-Result
Verdict
-
- Lost profit-
- Wasted ads-
- Lost leads-
- Idle team-
- Reputation-
Our offers so downtime doesn't repeat: Code audit - from $60 · Rescue and handover - from $1,500 · Rescue and keep running - from $1,500 + changes paid per task.
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How we calculate
Revenue per hour
orders per hour × average order value, or revenue per hour directly
Cost of an hour down
revenue × margin × (1 + reputation) + ads per hour + leads × lead value + people × hourly cost
We count lost margin, not revenue: the goods you didn't sell are still yours.
Incident and year
hour cost × length, × incidents per year
Let's check it on your data
A free 30-minute call: we look at your numbers and tell you where the calculation and reality part ways.
Discuss this with the teamHonest about the math
All numbers are yours. The “reputation” share is an explicit assumption, not a statistic. The calculation leaves out sales that simply shift to after the recovery - if your customers are patient, the real cost is lower, and if ads are expensive and demand is hot, it is higher.
This is a reference point, not a promise of results. Our prices here are “from” prices, the exact amount is fixed in writing after an audit.
Questions
Why margin and not all of the revenue?
Goods you didn't sell stay with you, what's lost is what you would have earned on them. So the calculation rests on margin.
Should ads be paused during downtime?
Yes, as fast as possible: every hour they send people to a broken page. Monitoring with alerts saves exactly those hours.
How do I make sure it doesn't happen again?
Start with a code audit: what is broken, where the risks are and what each fix costs. Then stabilization, tests where money moves, and documentation.
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