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How much revenue could downtime cost you on Black Friday?


Black Friday week is one of the biggest sales periods of the year for e-commerce. Adobe Analytics reported that shoppers spent a record $10.8 billion online on Black Friday in 2024 alone.

Our own 2024 data confirms the same trend. Checkout activity on Black Friday rose by 24.1% compared to normal weeks, while Cyber Monday traffic increased by over 42%.

However, during this period of record spending, many websites slow down or crash under the pressure. And when that happens, the losses are not small. Every minute of downtime means abandoned carts, missed revenue, wasted ad spend, and lost trust.

In this article, we’ll estimate the real cost of downtime during Black Friday week, understand what causes it, and what e-commerce businesses can do to stay fast, secure, and reliable when it matters most.

The real cost of downtime during Black Friday

When traffic compresses into just a few peak hours during Black Friday week, even a short outage can result in significant financial losses.

You don’t need a complex financial model to see it. You can get a solid estimate with just three inputs:

  • Visitors per minute during peak (from your analytics during last year’s Black Friday week)
  • Conversion rate during peak hours (not your monthly average)
  • Average order value (AOV)

The formula is straightforward:

Revenue per minute = visitors/min × conversion rate × AOV
Estimated loss = revenue per minute × minutes down

Here’s a mid-market, conservative example (you can substitute your own numbers):

The real cost of downtime for businesses.

The above example excludes secondary costs (lost retargeting efficiency, refunds on duplicate charges, overflow support time).

For context, Gartner cited an average downtime cost of about $5,600 per minute, with more recent benchmarks showing a wide range depending on company size and sector.

The point isn’t the exact figure, but that during peak holiday shopping, every minute of downtime is exponentially more expensive than a typical Tuesday afternoon.

What causes downtime during Black Friday

It’s easy to say that traffic causes downtime, but that’s not the whole story. Traffic only magnifies weaknesses that are already present on your website.

What really takes e-commerce websites offline during Black Friday week are the bottlenecks that surface under that pressure. Let’s explore five bottlenecks:

Dynamic bottlenecks at checkout

Carts, checkouts, and dashboards can’t be cached because each action requires live server processing. For WordPress or WooCommerce, that processing power depends on PHP threads (sometimes called PHP workers). If you don’t have enough, requests queue up, pages hang, and buyers abandon purchases.

Device behavior shifts

Black Friday and Cyber Monday are not experienced the same way across devices. Mobile-heavy traffic puts stress on fast, lightweight checkouts, while desktop surges on browsing days push heavier requests through product comparisons, search, and filters. If your infrastructure isn’t tuned for both types of load, you risk slowdowns where users least expect them.

Third-party dependencies under strain

Most e-commerce sites don’t operate in isolation. Payment gateways, tax calculators, shipping APIs, personalization engines, and even marketing scripts all add friction points. When one of these services slows down or times out, it can cascade into failed checkouts or stalled sessions.

Security threats competing with real buyers

Attack traffic doesn’t pause for holiday shopping. Bots, carding scripts, and DDoS attempts spike alongside legitimate visitors, consuming the same server resources your customers need.

In 2024, Kinsta’s Web Application Firewall (WAF) logged a 42.8% increase in blocked threats on Black Friday and a 44% rise on Cyber Monday, with bot challenges spiking by 88%.

Visualization of WAF’s effect on traffic and security during Black Friday
WAF’s effect on traffic and security during Black Friday.

Without a strong WAF or rate limiting in place, malicious traffic erodes your capacity and pushes you closer to downtime.



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