Start here: how our SEO split tests work
If you aren't familiar with the fundamentals of how we run controlled SEO experiments that form the basis of all our case studies, then you might find it useful to start by reading the explanation at the end of this article before digesting the details of the case study below. If you'd like to get a new case study by email every two weeks, just enter your email address here.
For this week’s case study, we’re looking at a test run by one of our ecommerce customers across their Product Detail Pages (PDPs). These pages contained numerous elements tagged with the fetchpriority="high" attribute, which instructs the browser to prioritize and load those resources first. The hypothesis was that overusing this attribute deprioritized the loading of the main product image and slowed the LCP load time, which was negatively impacting user experience.
To address this, the test removed fetchpriority="high" from all elements except the primary product image. The goal was to improve page load performance by ensuring that the browser focused its resources on rendering only the most critical content, in this case the main product image, first.

The Case Study
The fetchpriority="high" attribute is used to signal that a distinctive resource, most commonly an image, is especially important and should be fetched earlier than others. Rather than changing what content is loaded, it influences when that content is requested during the page load process.
When implemented correctly, it helps critical above-the-fold elements, such as the hero image, render earlier during page load which improves performance metrics including page load speed and Largest Contentful Paint (LCP), a key component of Google’s Core Web Vitals. Over time, improvements in these metrics can better enhance the user experience and support SEO growth by making pages faster, especially as Google's algorithm considers user experience and site performance when evaluating pages.
What Was Changed
The customer tested removing the fetchpriority="high" attribute from non-critical elements on their PDPs, keeping it only on the main product image, which typically serves as the LCP element. This adjustment was hypothesized to better align how the browser allocates its resources with what truly matters most for user experience and performance metrics. The change ensured that secondary images did not compete with the primary product image during the initial page load.
Results

The test produced an inconclusive result, which was somewhat unexpected given that the control pages contained over 45 elements tagged with the fetchpriority=”high” attribute.
Despite the lack of a statistically significant positive result, the change was still considered a strong candidate for default to deploy, given that from both an SEO and performance perspective this change was a best practice. Importantly, this experiment showed no negative impact, indicating that reducing the amount of unnecessary prioritization did not harm performance metrics either. So a non-negative result with a strong hypothesis at its core gives us the confidence to say that deploying the change would be a long-term optimization for better page efficiency.
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How our SEO split tests work
The most important thing to know is that our case studies are based on controlled experiments with control and variant pages:
- By detecting changes in performance of the variant pages compared to the control, we know that the measured effect was not caused by seasonality, sitewide changes, Google algorithm updates, competitor changes, or any other external impact.
- The statistical analysis compares the actual outcome to a forecast, and comes with a confidence interval so we know how certain we are the effect is real.
- We measure the impact on organic traffic in order to capture changes to rankings and/or changes to clickthrough rate (more here).
Read more about how SEO testing works or get a demo of the SearchPilot platform.