Revenue Impact Calculator
See what a slow site may be costing you each month — a rough estimate built on one stated assumption.
Estimated revenue lost per month
₪4,375
~18% of potential revenue
The calculator assumes each second of load time past 2 seconds takes 7% off your conversion rate. It is an assumption for a sense of scale, not a measurement of your site.
How the estimate is calculated
Four sliders set the scene: monthly visitors, average order value, conversion rate and how long the page takes to load. The calculator treats the conversion rate you enter as the rate your site would reach if it loaded in two seconds or less.
For every second of load time beyond two, it takes 7% off that conversion rate, up to a ceiling of 90%. Current revenue is visitors × the reduced conversion rate × order value; potential revenue is the same sum with your full conversion rate. The figure in red is the monthly gap between the two, and the percentage under it is that gap as a share of the potential.
The 7% is this calculator's own assumption. It is not a published benchmark and not a forecast for your store. Real visitors do not drop off in even steps, and speed is only one of the things that move conversion. Use the number to judge whether speed work belongs on your list, then compare it with your own analytics. Nothing you enter leaves your browser.
Questions about this tool
Where does the 7% per second come from?
From this calculator, not from a study. It is a deliberately cautious assumption: every second of load time past two seconds takes 7% off the conversion rate, capped at 90%. Published studies measured different things. Akamai's State of Online Retail Performance (2017, about 10 billion visits to retail sites) found that conversion peaked at load times of 1.8 to 2.7 seconds, and that pages one second slower converted roughly 18% to 22% lower, depending on the device. Deloitte's Milliseconds Make Millions (2020, run with Google, 37 brands, mobile only) found retail conversions 8.4% higher when mobile speed improved by 0.1 seconds. Both describe a correlation in their own sample, so neither is a rule for your site. When you have your own data on conversion by page speed, that is the better source.
Is the result a prediction of what I will earn after a speed fix?
No. It shows the size of the gap under one simple assumption, so you can weigh it against the cost of the work. What actually happens depends on your traffic, your product and the rest of the buying journey.
What load time should I enter?
The time a real visitor waits on a phone, not the best run from your office connection. If you do not know it, run your address through the Site Report Card and start from the LCP figure it shows.