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Store health

What does a dead checkout cost you per hour?

Roughly your full sales rate, for every hour it stays down — and a broken peak hour costs 2–3× that. Enter your monthly revenue and see your own numbers instantly.

method: monthly ÷ 730 hrs = avg/hr · peak = 2–3× avg · BFCM day = 5–10× a normal day

One broken hour

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average → peak-hour range

One broken day

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a silent weekend = 2–3× this

One broken BFCM hour

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at 5–10× normal daily volume

Honest ranges, not precision: sales cluster in evenings and weekends, so which hour breaks decides the real cost. What you type stays in your browser — only anonymous usage counts are sent.

The expensive part isn't the breakage — it's the not knowing.

Bilby visits your store every night like a real customer and emails you the screenshot the moment the buy path breaks. You fix it before the numbers above happen.

Free scan first →

This math is why the stories sting. Merchants report finding a dead add-to-cart button on Cyber Monday itself, and "$20,000 lost this month" traced to a checkout bug that had been live for weeks. LSKD did $10M in the first hour of a BFCM launch — at that scale, a broken hour isn't a rounding error, it's the quarter.

// Questions

Straight answers.

How much does e-commerce downtime actually cost?

Roughly your full sales run-rate for every hour the buy path is down. A $50k/month store averages ~$69/hour — but sales cluster in evenings and weekends, so a broken peak hour typically costs $140–$210 for that store. On Black Friday, one broken hour can cost more than a normal week.

Doesn't my uptime monitor cover this?

Only for full outages. Uptime monitors check that your homepage returns HTTP 200 — and your homepage can return 200 while the add-to-cart button is dead or a theme update broke checkout. Those cost the same revenue and last longer, because nothing alerts you. That gap is exactly what Bilby exists for: it shops your store nightly the way a customer would.

How do merchants usually find out?

From the sales graph — days or weeks later. The failure is silent by design: the site looks fine, ads keep spending, and only the conversion rate knows. The calculator's per-day figure times "how long until you'd notice" is the number that should worry you.

How accurate is this?

It's an honest range, not a prediction: monthly revenue ÷ 730 hours for the average, a 2–3× multiplier for peak hours, 5–10× normal daily volume for BFCM. Your real cost depends on which hour breaks — which is the point: you don't get to choose.