eCommerce ROI

Peak Traffic Performance ROI Calculator
Revenue at risk during peak demand

Model the sales and revenue exposed when your website slows down at the exact moment the most customers are ready to buy.

Your peak traffic data

Use analytics from a busy campaign, sale, launch or recurring high-traffic window.

sec
Observed when traffic is highest
sec
Expected after optimisation
All traffic
15,000 affected visitors
%
Why isolate peak traffic? Applying the slowdown to every monthly visitor can overstate the impact. This model only applies it to the portion of traffic that actually experiences the problem.
%
$
$
$
Estimated sales lost during peak traffic High impact
81
sales per month

At the moderate benchmark, your peak-period slowdown may be preventing approximately 81 additional purchases each month.

Monthly revenue lost
$8,081
Potentially recoverable
Annual revenue at risk
$96,969
If peak conditions continue
Affected peak revenue
$37,500
Before modelled recovery

What an improvement could recover

Reducing peak load time from 6.0s to 2.0s creates a modelled 21.6% conversion uplift in the moderate scenario.

$8,081 monthly opportunity
Fast / lower risk Slow / higher risk
Current 6.0s Target 2.0s

Estimated performance scenarios

Choose the benchmark you want highlighted in the headline result. Moderate is selected by default.

Conservative 2% per second
31
estimated sales lost monthly
Revenue lost$3,091
Relative uplift8.2%
Annual opportunity$37,091
Recommended view
Moderate 5% per second
81
estimated sales lost monthly
Revenue lost$8,081
Relative uplift21.6%
Annual opportunity$96,969
Strong 10% per second
174
estimated sales lost monthly
Revenue lost$17,404
Relative uplift46.4%
Annual opportunity$208,846
Commercial case

Better hosting needs 3 extra sales per month to pay for itself.

At a $100 average order value, the additional $300 monthly investment is recovered after approximately 3 additional sales. The moderate scenario estimates 81 potentially recoverable sales.

3 additional sales required to cover the monthly cost increase

How the estimate is calculated

The model keeps the same benchmark structure as the existing calculator, but only applies it to traffic affected by peak-period slowdown.

1. Isolate exposed traffic

Only visitors arriving during affected peak periods are included in the loss estimate.

Affected visitors = monthly visitors × peak traffic share

2. Estimate recoverable sales

The calculator applies a compound relative conversion uplift for each second of performance improvement.

Sales lost = current peak sales × ((1 + benchmark rate)seconds improved − 1)

Benchmark scenarios

  • Conservative: 2% relative conversion improvement per second
  • Moderate: 5% relative conversion improvement per second
  • Strong: 10% relative conversion improvement per second

Keep the language defensible

Use “estimated”, “modelled” and “potentially recoverable”. The output shows a business case, not a guaranteed result. Validate the impact using real-user monitoring and conversion data before and after optimisation.

Important: This calculator provides modelled scenarios, not guaranteed outcomes. Actual results vary according to traffic quality, device mix, customer intent, site design, checkout experience, caching, backend response time and the specific infrastructure bottleneck being resolved. For very large speed gaps, the model caps the calculated improvement at five seconds to reduce extreme projections.
Peak Traffic Performance ROI Calculator · Model outputs should be validated against the client’s analytics and real-user performance data.

How the estimate is calculated

This calculator estimates the potential impact of slower website performance during peak traffic periods. It uses your monthly traffic, the percentage of visitors affected, current conversion rate, average order value and the difference between your peak load time and target load time.

The estimated sales and revenue impact is based on commonly reported ecommerce performance benchmarks that link slower page speeds with lower conversion rates. The calculator applies conservative, moderate and higher-impact scenarios so you can see a realistic range rather than relying on a single figure.

Setting realistic expectations

These results are estimates, not guaranteed outcomes. Actual performance will vary depending on your industry, traffic quality, customer behaviour, device type, website experience and the cause of the slowdown.

Improving website speed does not automatically recover every estimated lost sale. It can, however, remove a major barrier during the periods when customer demand and revenue opportunity are highest. The most accurate way to measure the result is to compare site speed, conversion rate and completed sales before and after improvements are made.