Visible sooner
Optimised images, fonts and priorities bring the most important content on screen faster.
Shopify performance
Fast stores sell more.
Every second of load time costs conversion. We measure your store's Core Web Vitals and fix the causes - not the symptoms.
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Responsive immediately
Less app and JavaScript weight delivers faster reactions when customers click and buy.
Stable while shopping
A calm layout prevents shifts and misclicks on product pages, basket and checkout.
- Since 2019
- 150+ Migrations and Relaunches
- Official Shopify Plus Partner
What makes a Shopify store slow?
Theme and app bloat
Every installed app may inject scripts and styles into every page - including pages where it does nothing. We check what actually loads and what can go entirely.
Images, fonts and render blockers
Oversized hero images, missing dimensions and blocking fonts delay the first visible content and make the layout jump after the fact.
Third-party scripts
Tracking, chat, reviews and personalisation mostly hurt interactivity. We judge every script by its value against its cost on the main thread.
Which values count - and what do they mean?
LCP - Largest Contentful Paint
Time until the largest visible element has loaded. On product pages that is almost always the main image. Google rates up to 2.5 seconds as good.
INP - Interaction to Next Paint
Time between an input and the next visible response. Up to 200 milliseconds counts as good. The main cause is long JavaScript tasks.
CLS - Cumulative Layout Shift
A measure of unexpected layout shifts. Up to 0.1 counts as good. Typical triggers are images without dimensions, late banners and web fonts.
TTFB as a precursor
Time to first byte is not a Core Web Vital, but it caps the LCP you can reach. On Shopify it depends heavily on Liquid logic and app blocks.
Levers for LCP
Prioritise the hero image, serve modern formats, preload the critical resource and remove unnecessary redirects on the first request.
Levers for INP
Break up long tasks, defer or event-load scripts, slim down event handlers and replace apps with expensive hydration behaviour.
Levers for CLS
Fixed aspect ratios for images and embeds, reserved space for banners and consent layers, fonts with stable fallback metrics.
Levers for TTFB
Reduce expensive loops and metafield lookups in Liquid and limit app blocks to the templates that actually need them.
How does a performance optimization project run?
01
Field data first
We start with real user values from Search Console and CrUX, split by mobile and desktop as well as by template type.
02
Causes in the lab
Using Lighthouse and a performance trace we tie every problematic value to a concrete cause - a file, a script or a template.
03
App and script audit
Every app is reviewed for actual value, load location and weight. Unused apps are removed completely, not just switched off.
04
Prioritise by impact
Measures are ranked by expected effect and effort. Templates with the most traffic and the largest share of revenue come first.
05
Implementation in the theme
Changes are made in a theme copy, tested individually and documented, so the effect of each measure stays traceable.
06
Re-measure & monitor
After deployment we compare lab and field data and keep watching the values, so new apps do not eat up the progress again.
Why do Lighthouse and Search Console disagree?
Lab data
Lighthouse measures once under fixed conditions - useful for finding causes, not as proof of success
Field data
CrUX collects values from real users on their devices and networks - that is what the rating is based on
Time lag
Field data runs on a 28-day window, so improvements only show up there gradually
Percentile, not average
The rating uses the 75th percentile, so a good average says very little about your assessment
Is performance your biggest lever right now?
Then you are working in the right place
Field data sits in the red
Search Console reports "needs improvement" or "poor" for your most important template types - in the field data, not just in the lab.
Mobile falls apart
Far more visitors drop off on phones than on desktop, even though the range, the prices and the offer are identical.
Years of apps in the theme
Apps, banners and campaign scripts piled up over time, and nobody on the team can still say what loads on which page.
You pay for your traffic
Paid clicks land on pages that take noticeably too long. Every second you lose here, you pay for twice.
Then your problem sits somewhere else
The theme is being replaced anyway
If the store is due for a rebuild, every fix on the old theme evaporates the day the new one goes live. Then speed belongs in the build plan.
To Shopify developmentYour pages are not in the index
If Google does not properly pick up your category and product pages, faster delivery changes nothing about the visibility you are missing.
To Shopify SEOVisitors arrive and do not buy
If your values are already in the green, load time is not what decides the sale - the offer, the page layout and the checkout are.
To CRO & conversion optimizationEngagement
How can we work on your performance?
Whether you need clarity on the causes first, want implementation straight away, or have to hold the values long term - that gives three shapes.
Performance analysis
Who it is for
For stores where the numbers are known but it is unclear which file, app or template logic is actually causing them.
What is included
- Field data split by template and device
- Trace and Lighthouse to pin down causes
- App and script inventory with load point and weight
How it ends
Ends with a list of measures sorted by expected effect that your own developers can implement too.
Optimization sprint
Who it is for
For stores where the causes are already established and the work in the theme should happen quickly and under control.
What is included
- Implementation in a theme copy
- Every measure measured on its own
- Handover with documented changes
How it ends
Ends when the agreed templates measure demonstrably better than before - and it is traceable per measure why.
Performance monitoring
Who it is for
For stores where campaigns, banners and new apps keep arriving and the values would otherwise creep back up.
What is included
- Fixed measurement after every theme release
- Review of every new app before it goes in
- Regressions reported early instead of hunted late
How it ends
Produces values that are verified after every release, instead of hit once and quietly lost again.
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Frequently asked questions about Shopify performance
What are Core Web Vitals?
Core Web Vitals are three metrics defined by Google for the user experience while a page loads: LCP for how quickly the largest visible content appears, INP for responsiveness to input, and CLS for visual stability. The rating uses the 75th percentile of field data from real users.
Which values count as good?
Google rates an LCP of up to 2.5 seconds, an INP of up to 200 milliseconds and a CLS of up to 0.1 as good. What matters is hitting those thresholds at the 75th percentile: three out of four page views must meet the value, not just the average.
How do you improve the load time of a Shopify store?
In this order: remove unused apps and their scripts, serve the hero image of every template type with priority and modern compression, load fonts locally with a stable fallback, defer third-party scripts, then reduce expensive Liquid logic. Measure again after each single step.
Does a new theme automatically improve the numbers?
Not automatically. A lean theme is a good starting point, but apps, scripts, images and content account for most of the load time. Installing a fast theme and then re-enabling the same apps and scripts usually lands you at very similar numbers as before.
Why is my Lighthouse score good but Search Console is not?
Lighthouse measures once in the lab under fixed conditions. Search Console shows field data from real users over a rolling 28-day window, including slow devices and poor connections. The two sources do not contradict each other, they answer different questions: causes versus actual assessment.
How are performance and conversion connected?
Load time influences bounce and checkout completion, especially on mobile and with paid traffic. How strong that effect is depends on assortment, price point and traffic mix, and can only be proven in your own store. That is why we measure before and after in the same store instead of arguing with industry averages.
How often should you check performance?
After every theme release and every app installation, plus on a regular schedule in day-to-day operations. Performance is not a one-off project: new campaign scripts, banners and apps keep arriving and slowly push the values back up without any single change being to blame.
How fast is your store for real users?
We look at your field data and your theme and show you which measures will have the biggest effect on your store.
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