Google Merchant Center and feeds
Trace conflicting approvals, variant links, prices, currencies, availability and shipping to the exact product source and market.
Shopify Storefront Rescue · Beta
A fixed-scope five-day sprint for existing Shopify stores with conflicting Google product data, app problems, confusing shipping or broken customer journeys. We agree one priority, repair the cause and verify the affected path.
Choose the problem that matters most
We select the relevant checks and repairs for one focused sprint. Each finding identifies the affected product, page, market or app and the evidence needed to verify it.
Trace conflicting approvals, variant links, prices, currencies, availability and shipping to the exact product source and market.
Check product data, review widgets, app activation, mobile overlays and buying controls together in the theme customers actually use.
Follow the selected variant through availability, supplier settings, cart totals, delivery information and the relevant shipping profile.
Check key events and consent, identify duplicate signals and label known test or bot traffic before judging the customer journey.
The five-day system
Confirm the store is operational, the problem is bounded and the work can realistically fit the ten-hour cap before access is requested.
Choose one rescue focus, compare the relevant sources and prioritize up to ten findings within the agreed ten-hour budget.
Agree one written batch, then implement only controlled, bounded and reversible changes that fit the scope.
Verify the affected pages on desktop and mobile, including named product, variant and cart behavior without placing a paid order unless approved.
Receive the before/after evidence, QA status, exact change log, remaining blockers, owner actions and rollback notes.
What may be included
Locked beta boundaries
Qualification
Good fit
Not a fit
Owner-operated implementation case study · ICantCompute
ICantCompute did not need an automatic redesign. It needed a safer way to separate reproducible customer-path problems from noise, make bounded changes and prove what had actually been checked.
Evidence boundary: ICantCompute is Tor Bjornstad’s owner-operated store. This case consolidates verified work completed across several controlled tasks; it is not an external-client engagement or one uninterrupted five-day sprint.
Desk-setup products were missing from the intended homepage sequence, event status needed direct observation, and new catalog mappings needed a publication safety gate.
A native featured collection was added, a dated ecommerce-event path was observed, and catalog work stayed Draft while weak mappings were withheld.
Links, prices, layout, cart behavior, named events and publication state were checked. Purchase completion and commercial uplift were not claimed.
4
The approved featured collection, its copy and position, four active product links and displayed prices, the collection CTA, desktop/mobile presentation and one cart path were verified.
6
Shopify product_viewed, product_added_to_cart and checkout_started, plus the corresponding GA4 events, were observed in a dated test. Purchase was not tested.
8 / 16
Eight products and 16 SKUs remained Draft, on zero sales channels, with no overwrite. Four mappings were saved and four were withheld for insufficient quality or evidence.
Fail → pass
An initial unpublished-theme QA run exposed predictive-search focus and cart-safety failures. After targeted repairs, 25/25 responsive smoke checks, predictive search and the add/update/remove cart lifecycle passed; the cart ended empty and the target stayed unpublished.
What became repeatable
Fit and access gate → reproducible issue list → written approval → bounded reversible fixes → desktop/mobile/cart QA → evidence, owner actions and rollback handoff.
Straight answers
No promise is made about sales, traffic, rankings, conversion rate or platform approval. The promise is a controlled audit, prioritized work, verified implementation and a clear change log.
No. Access should use Shopify collaborator or staff permissions with the minimum scope required. Passwords, 2FA codes, bank details and unnecessary customer data are not requested.
The scope is cut before implementation. The highest-priority evidence-backed items are completed first, and the remaining work is documented rather than silently absorbed.
No. Store-policy and product-information inconsistencies may be flagged, but formal legal, tax and compliance certification are outside the service.
Yes. The agreed scope can include reconciling feed and account diagnostics with Shopify data and the actual landing page. Repairs are selected for the affected products and markets. Google review decisions and processing times remain with Google.
I check the relevant app blocks, embeds, settings and customer-facing functions in your actual theme. Your app subscriptions and Shopify plan determine the available features. The handoff records the configuration and tests used.
A short fit check. No access is requested until the store, scope, boundaries and commercial terms are a plausible match.
No-access fit check
Send the public store URL and the customer-facing problem you most want understood. I classify the next step as FIT, DIAGNOSTIC FIRST or NOT A FIT before requesting access.
First three qualified stores
No rebuild by default. No access request before scope is clear. No commercial-result guarantee.