Real users see a slower store than the demo
Large media, app scripts, third-party tags, and device conditions create field performance that a fast office connection hides.
Shopify speed & conversion
Make the storefront faster—and the buying path clearer
We find what is slowing the page or weakening the decision, then improve performance and conversion in measured passes instead of stacking on more features.
- Core Web Vitals
- Product-page CRO
- AI-discovery readiness
Start with the leak, not the feature request
Speed and conversion problems often share the same cause: too much friction between the product and the purchase.
Traffic arrives but product pages stall
The page may not answer the buying question, surface proof, handle variants clearly, or keep the next action in reach.
The app stack keeps growing
Overlapping widgets and leftover scripts add cost and complexity while making it harder to know what actually improves revenue.
Changes ship without a baseline
Without trustworthy analytics and a clear hypothesis, a redesign can move numbers without explaining why.
AI sends shoppers to pages built for browsing
Assistants often deliver high-intent visitors directly to a product page. Thin attributes, unclear variants, conflicting schema, or buried policies can break the recommendation at the final step.
Performance and conversion belong in the same room
A lighter page is only useful if it helps customers decide. A conversion feature is only useful if its weight does not cost more than it earns.
Field data before opinions
Core Web Vitals, templates, devices, traffic sources, funnel behavior, search terms, and analytics quality establish the baseline.
Remove weight and interaction friction
Responsive images, script strategy, theme code, app cleanup, rendering, layout stability, navigation, and variant behavior.
Strengthen the product decision
Product media, information order, proof, shipping and returns, FAQs, add-to-cart behavior, cart, and checkout handoff.
Ship changes you can evaluate
Prioritized hypotheses, analytics events, focused experiments, and a record of what changed, what happened, and what comes next.
Audit the AI-to-product-page journey
AI referrer data, real shopping prompts, catalog attributes, structured data, policies, citations, and the landing experience reveal whether assistants can recommend the right product confidently.
A focused optimization cycle
We work from evidence to implementation, then measure again so the next decision is better informed than the first.
-
Collect the baseline
We review field performance, analytics, AI referrers, templates, apps, customer journeys, and the commercial context around the store.
-
Prioritize by likely impact
You get a short, ordered backlog that separates urgent technical problems from useful conversion opportunities.
-
Implement in controlled batches
We ship the highest-value fixes first, verify devices and analytics, and avoid changing so much at once that the result becomes unreadable.
-
Measure and decide what follows
We compare the new data with the baseline, keep what earns its place, and shape the next cycle around what we learned.
Optimization is visible in the implementation. Responsive images, Liquid and theme JavaScript, rendering paths, third-party scripts, product data, structured markup, analytics events, accessibility, Core Web Vitals, and testable UX changes.
See why AI traffic changes the product pageEngagements from $1,250
Start with the highest-value constraint
A focused engagement can address one critical template or performance problem. Our Shopify AI Discovery & Product Page Audit tests real shopping prompts, catalog data, structured markup, priority product pages, and AI-referral measurement before turning the findings into an ordered implementation backlog.
See all project pricingQuestions before you commit
Clear answers before scope, price, or architecture gets locked in.
Do you guarantee a conversion-rate increase?
No. Conversion depends on traffic quality, product, price, offer, seasonality, and the storefront. We guarantee a measurable process, transparent implementation, and honest interpretation of the result.
Can you improve Core Web Vitals?
Yes. We diagnose the real field bottlenecks and work on images, scripts, theme code, rendering, layout stability, and third-party behavior. The exact ceiling depends on the stack.
Do we need an A/B testing tool?
Not always. We first make sure analytics can measure the change and that the expected traffic can support a useful test. Some clear defects should simply be fixed.
Can you remove Shopify apps?
We can audit which apps earn their weight, remove or replace unnecessary ones, and clean up leftover theme code where the app uninstall did not.
Can you audit how our products appear in AI shopping tools?
Yes. Our Shopify AI Discovery & Product Page Audit reviews AI-referral data, tests real customer prompts, checks product and policy data, validates structured markup, examines third-party citation sources, and audits priority landing pages. It produces an ordered backlog rather than a promise to rank first in any assistant.
Can this become an ongoing retainer?
Yes. Many stores start with a focused audit and implementation cycle, then continue with a monthly performance and conversion backlog.
Turn storefront friction into an ordered backlog
Show us the page, metric, or customer journey that is underperforming. We will help separate the high-value fixes from the noise.