What Does Your Website Downtime Actually Cost?

The calculator above shows three categories of downtime cost. Each is worth understanding separately, because they have different time horizons and different ways to mitigate them.

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1. Direct revenue loss: the immediate cost

This is the straightforward calculation: you have a certain hourly revenue rate, and when your service is down, transactions don't happen. For e-commerce, this is direct lost sales. For SaaS, it's sign-ups that don't convert and trials that don't start during the outage window.

The actual impact is worse than the average-hourly calculation suggests, because downtime rarely happens at off-peak hours. If your service goes down on a Friday evening or during a sale event, the hourly revenue lost is 3–5x the average.

How monitoring helps: Detecting the outage in the first minute instead of the 30th minute (when a user tweets at you) is the entire game. A 1-minute check interval means the worst case is a 1-minute detection lag. Without monitoring, the median detection time is often 20–30 minutes.

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2. Ad spend waste: the invisible cost

If you're running paid acquisition campaigns — Google, Meta, LinkedIn, TikTok — those campaigns don't pause when your site goes down. Every click that lands on a broken page is a wasted acquisition cost.

Worse: ad platform algorithms optimize for conversions. An outage period with zero conversions teaches the algorithm that your ads don't work. You may see conversion rate suppression for days after a major outage as the algorithm adjusts.

For high-spend advertisers, the ad waste can exceed the direct revenue loss. A business spending $10,000/month on ads that suffers a 2-hour outage wastes ~$28 in direct ad spend — but the algorithmic penalty is harder to quantify and potentially much larger.

How monitoring helps: Fast detection lets you pause campaigns within minutes of an outage starting. Many teams integrate their monitoring alerts with a "pause all ad campaigns" automation via webhook.

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3. Churn risk: the long-tail cost

Not every user who hits a broken page leaves forever. But some do. The percentage depends on how critical your service is to them, how the incident was communicated, and whether there's a competitor they can easily switch to.

Research across SaaS companies suggests that a significant outage (1+ hours) increases near-term churn probability by 2–5% among affected users. For products where the lifetime value per customer is high, a single incident affecting a few hundred active users can have thousands of dollars of churn impact.

How monitoring helps: Good incident communication — posting regular updates to your status page, closing the incident with a clear resolution message — materially reduces churn from incidents. Users who felt informed and saw the issue resolved properly are far less likely to churn than users who sat in the dark.

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The cost of not having monitoring

The numbers in the calculator assume you detect the outage instantly. If you don't have monitoring, detection time is typically measured in tens of minutes — someone tweets, a customer emails, your phone buzzes with a support ticket.

For a $50k/month business, every 10 minutes of extra detection time costs roughly $11.50 in direct revenue. Over a year of average incidents — say, 4 outages averaging 45 minutes without monitoring vs 10 minutes with monitoring — the difference in detection time alone is worth hundreds of dollars. The monitoring cost is a rounding error.

PingBase's free tier covers 5 monitors with 1-minute check intervals. For most early-stage products, that's comprehensive coverage. The cost of not having it is measurably higher than the cost of the Pro plan at $9/month.