These are not my numbers and Google has said a lot about web page speed and rankings but just to give you an idea on page speed alone, not even getting into the ranking part of it and these aren't my numbers this is just using what giant corporations have had to say about it.
Dealership websites normally (98% of the time) have slow load times, intrusive pop-ups, and designs that are stuck in the past.
So let’s say every time you spend a thousand dollars on ads, you make a sale.
To double your income you could double your ad spend or increase conversions by just 1%.
One way will double your budget … the other leaves everything the same!
And the #1 way to increase conversions is by improving page speed.
Nothing Affects a Website's Visibility like Web Page SPEED!
- Amazon said for every 100ms improvement in load times they saw a 1% increase in Sales.
- Mobify said it was a 1.11% increase in Sales per 100ms.
- Walmart said it was 2% per second improvement.
- Cook said it was a 7% increase in sales for every 850 milliseconds improvement.
And when Google discovered that 53% of a website's traffic would leave if the site took just 3 seconds to fully load, they thought it was important enough to add a ranking penalty to their algorithm, penalizing sites that take more than 2.5 seconds to fully load.
Google even built a tool to show designers and developers their problems and how to fix them. So the #1 goal of every developer should be to be able to get 100% across the board on Google’s LightHouse tool. Because in addition to the penalty for NOT being fully loaded in under 2.5 seconds, Google will also limit how often and how deep they crawl your site, if you don’t have the first content painted in under a second.
This means you can keep adding pages but it will be difficult for Google to find them.
So your first content has to be in under a second and it has to be fully loaded in under two seconds. However you should be shooting for .5 milliseconds fully loaded and 100% across the board on Google lighthouse tool.
The average dealership website takes about 24 seconds to load, so if you build a website that is fully loaded in .5 milliseconds and everything else is equal then every time that site makes a sale you ...
If we assume that the statement holds true and every 100ms improvement in load times results in a 1% increase in sales, and you have a website that is fully loaded in 0.5 milliseconds (which is an extremely fast load time), we can calculate the potential increase in sales.
Given that the average dealership website takes about 24 seconds to load (24,000 milliseconds), the difference in load time between the average website and your fast-loading website is 24,000 milliseconds - 0.5 milliseconds = 23,999.5 milliseconds.
To calculate the potential increase in sales, we can divide the difference in load times by 100 and multiply it by 1%:
23,999.5 milliseconds / 100 * 1% = 239.995%
This means that, theoretically, with a website that loads in 0.5 milliseconds compared to the average dealership website, you could potentially see an increase in sales of approximately 239.995%.
However, it's important to note that this calculation assumes that all other factors remain equal and that the correlation between load times and sales is accurate.
So if you only focused on page speed and nothing else then the calculation suggests that with a significantly faster website load time compared to the average dealership website, you could potentially see an increase in sales of approximately 239.995%.
This increase would be relative to the baseline sales you would have without the faster load time.
For example, if the average dealership website generates 100 sales in a given period, and you have a website that loads in 0.5 milliseconds, the potential increase in sales would be around 239.995% of the baseline sales.
In this case, your website could potentially generate an additional 239.995 sales, resulting in a total of approximately 339.995 sales.
It's important to note that this is a hypothetical calculation based on the assumed correlation between load times and sales, and it may not directly translate into real-world results.
Various other factors can influence sales, and the relationship between load times and sales might not be linear or consistent in all cases.
In addition to converting more traffic it should also rank higher, faster, and better!
