Shopify Store Audit

We open the theme, list the apps that inject code into the storefront and note where each one loads. A chat widget on every page, a review script on the home page and three analytics tags doing the same job are common findings. The report shows what each one costs in requests and in main-thread time.

Theme findings stay concrete: a section that loads a full library for one carousel, a product template that renders hidden variants, a font stack with unused weights. Each is tied to a template and a fix, not described as a general need to modernise.

We run a real order from a phone, including a discount code, an address entry and a failed card, and record every point where the path asks for more than it should. Forced account creation, a shipping estimate that appears late and an error message that does not say what to do are the usual culprits.

Checkout itself is only partly editable on the platform, so the report separates what can be changed from what has to be worked around. That distinction stops a team from funding a redesign that cannot touch the real problem.

A sample across the catalogue is checked for missing titles, thin descriptions, absent size or compatibility facts, duplicate images and variants that cannot be bought. We also check whether the same product appears twice under different handles, because duplicate pages split search signals and confuse the warehouse.

Data findings are grouped by template rather than listed product by product. A missing care instruction on forty items is one fix with one owner, not forty tickets. The report estimates how much of the catalogue each fix would cover.

The review maps the pages search engines can reach, the titles and descriptions they carry, and the internal links between collections and products. Faceted URLs that multiply into thousands of near-duplicates, an empty collection left indexable, and a blog detached from the shop are typical.

We check the sitemap against the live pages, inspect canonical tags on filtered views, and read the structured data on a product and a collection. The output is a short list of structural fixes, not a keyword strategy, because the audit is about what blocks a page from being found at all.

Home, collection and product templates are measured on a mid-range Android phone over a throttled connection, with the real apps and a real catalogue. The report records the largest visible element, the interaction delay and the layout shift, then identifies the requests responsible.

Speed is included here as a diagnosis rather than a repair. The fix list says which changes would buy the most, and a separate Shopify speed optimisation engagement carries them out if the store wants that work done.