01
Slow mobile pages
Theme apps and third-party scripts adding seconds to mobile load times.
Slow mobile pages and high bounce rates on a Shopify store
Rebuild the storefront in Next.js on Shopify's Storefront API: server-rendered product pages, CDN caching and fast search — with Shopify's own checkout.
Symptoms
If several of these sound familiar, the plan below is where we would start.
01
Theme apps and third-party scripts adding seconds to mobile load times.
02
Slow product transitions and clunky cart drawers frustrating shoppers.
03
Filtering by size, color or price taking seconds.
Remediation plan
Each phase ends with a measurement, so you can see what changed before the next one starts.
01
Server Components rendering product pages with very little client JavaScript.
02
Caching pages at the CDN and revalidating them from Shopify webhooks when products change.
03
Typo-tolerant search and filters served from a dedicated search index.
04
Cart updates that appear instantly and sync with Shopify's Cart API in the background.
Technical checklist
What we check before a change goes to production:
We take a baseline first and report the same measurements after each change, from your own monitoring — evidence, not promised results.
Related service
Frontend engineering measured in field Core Web Vitals before and after, accessibility to WCAG AA, and replatforms shipped route by route with no freeze.
Explore Web & frontendQuestions
Checkout stays on Shopify, including Shop Pay and Apple Pay, and inventory stays in Shopify. Apps that inject storefront scripts need a headless equivalent or a replacement, which we list during scoping.
Faster pages usually reduce bounce, and public studies have linked load time to conversion. Your own effect is measured, not assumed: we compare conversion in a controlled test after launch.
Related playbooks
Make CI fast enough that nobody waits on it: profile the slow steps, cache what can be cached, split tests across runners and run only what changed.
Fix slow pod scheduling and idle nodes: set accurate resource requests, replace Cluster Autoscaler with Karpenter, and run interruptible workloads on spot.
Move a production database without a long maintenance window: stream changes with CDC, verify parity with shadow reads, and cut over in a short, rehearsed window with reverse replication ready for rollback.
Ship the smallest product that proves your core workflow: scoped with you up front, built on a boring, scalable stack, and handed over with documentation and tests.
Send us the symptoms and any metrics you have. We'll reply within one business day, set up a call and agree what to measure before anything changes.