Your Shopify store is live. Your sales aren’t. Let’s find out why.

This usually points to a conversion problem rather than a traffic problem. Common causes include checkout friction, a mismatch between ad targeting and the audience actually landing on the site, slow page load on mobile, or a spike in bot and low-quality traffic inflating session counts without adding real buyers. The fix starts with separating traffic quality from traffic quantity in your analytics before changing anything else.

A finished store does not generate its own traffic. Without an active channel, whether that is paid ads, SEO, social or email, a new store typically stays invisible regardless of how well it is built. Traffic has to be treated as its own ongoing project, not a one-time task after launch.

Standard platform reporting has become less reliable since privacy changes limited cross-device and cross-platform tracking. A combination of UTM-tagged links, a server-side or first-party tracking setup, and comparing platform-reported sales against actual Shopify order data gives a much more accurate picture than trusting any single ad platform dashboard alone.

This is almost always caused by a combination of too many apps running at once, unoptimised images, and a theme that was never stress-tested under real traffic. Before a known busy period, running a speed and app audit is far cheaper than losing sales during the event itself.

Reported conversion lifts from upgrading low-quality product photos to professional or AI-generated studio-quality images are meaningful, generally cited in the twenty to forty percent range for stores moving away from basic phone photos. The image is often the only substitute a shopper has for physically handling the product, so quality directly affects trust.

Yes. AI-generated product images are commonly used across Shopify product pages, marketplace listings, paid social ads and email campaigns. Each image should still be checked for accuracy against the real product before publishing, since AI can occasionally alter fine details like logos or labels.

This requires a real-time inventory sync between every channel rather than manual updates. Most sync failures happen because one channel is being updated on a delay, so the fix is almost always a proper integration rather than a process change.

Every app adds its own script to the store, and too many running at once increases load time and raises the chance of a conflict, especially around checkout and theme rendering. A periodic app audit, removing anything not actively earning its place, is the most reliable fix.

At minimum, a short automated email or SMS sequence starting within an hour of abandonment, a reminder with the exact items left behind, and a final message with a modest incentive if the earlier messages do not convert. This alone recovers a meaningful share of otherwise lost revenue on most stores.

For most stores this has not been checked at all, because it is a very new consideration. Visibility here depends on clean structured product data, clear and accurate product descriptions, and the same kind of well-organised, directly answerable content that helps traditional SEO, so it is worth auditing alongside a normal SEO review rather than treating it as a separate project later.