Website Performance ROI Calculator
Estimate the revenue opportunity created by improving site speed, then see how quickly better hosting could pay for itself.
Your website and sales data
Compare your current load time with the performance target you want to reach.
Current position
$125,000
$5,050–$26,250
$60,600–$315,000
$300
Estimated performance scenarios
$5,050
Additional monthly revenue
$12,813
Additional monthly revenue
$26,250
Additional monthly revenue
Hosting break-even
Better hosting needs 3 extra orders per month to pay for itself.
At an average order value of $100, the additional $300 monthly hosting cost is recovered after approximately 3 extra orders. Even the conservative scenario estimates 51 additional orders.
Conservative ROI
The Data Behind the Calculator
Google’s extensive research consistently shows a direct correlation between site speed, user behavior, and revenue. This calculator’s models are built on real-world data from industry-leading studies.
The 0.1-Second Rule
A joint study by Google and Deloitte found that improving mobile site speed by just 0.1 seconds (100 milliseconds) resulted in an 8.4% increase in conversions and a 9.2% increase in average order value for retail sites.
The Bounce Rate Reality
Google analysed millions of mobile page loads and found that as page load times increase from 1 second to 3 seconds, the probability of a user bouncing (leaving immediately) increases by 32%. If it takes 5 seconds, the bounce probability jumps by 90%.
The Conversion Drop-off
Google data indicates that mobile pages that load in 1 second experience up to a 27% higher conversion rate than slower pages. Slower sites also experience up to a 22% drop in conversions overall.
How These Stats Are Validated
“Milliseconds Make Millions” (Google & Deloitte)
The Methodology: Google commissioned Deloitte to analyse real-world data, not just controlled lab tests. They tracked 30 million user sessions across 37 major brands in Europe and the U.S.
The Control: They tracked mobile load times hour-by-hour for 30 days. No UX or design changes were made to the sites during the study, isolating site speed as the sole variable affecting the change in conversions.
The Google & SOASTA Benchmark Study
The Methodology: Google used a deep neural network (machine learning) to analyse a massive dataset of mobile web sessions. They looked at 900,000 mobile ad landing pages spanning 126 countries to model how different load times precisely correlated with users abandoning the page before it loaded.