ROI simulation

Estimate what a broken checkout can cost.

This simulator gives an educational order of magnitude from four variables: monthly traffic, average order value, conversion rate and the time during which checkout no longer sells normally.

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Last updated: June 17, 2026

Formula used

Estimated monthly sales = monthly traffic x conversion rate x average order value. Outage cost = estimated monthly sales x impacted share of the month x checkout failure severity.

Severity avoids turning an estimate into a promise: 100% means checkout is blocked, 50% means a strong but partial break, 20% means a degraded funnel that still lets some orders through.

How to read the result

The amount is not a certified loss of revenue. It helps decide whether the risk deserves faster monitoring, immediate alerts, shareable reporting or a priority fix.

Calculation examples

Variable	Moderate store	Active store	Critical account
Monthly traffic	12,000 visits	45,000 visits	160,000 visits
Conversion rate	1.2%	1.8%	2.4%
Average order value	€58	€72	€96
Outage duration	4 h	8 h	12 h
Severity used	50%	70%	100%
Order of magnitude	≈ €70	≈ €1,360	≈ €14,745

What CashFlowCanary helps reduce

ROI does not come from a magic number: it comes from discovering failures less late.

Detection time

A clear alert reduces the time between checkout failure and team response.

Diagnosis time

Filtered proof avoids guessing between cart, checkout, payment, cache or extension.

Reporting time

A ready-to-share report helps the agency or merchant explain the incident without exposing customer data.

Estimate what a broken checkout can cost.

Formula used

How to read the result

Calculation examples

What CashFlowCanary helps reduce

Detection time

Diagnosis time

Reporting time

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