Accessibility on a product page, concretely
Not a policy statement and not an overlay. The seven components on a product page that break, the success criteria they break, and what to do instead.
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Everything we have written on conversion, 19 posts, newest first.
Not a policy statement and not an overlay. The seven components on a product page that break, the success criteria they break, and what to do instead.
On the Saturday morning there are two analyses available and only one of them is due. Read what broke and act on it; leave every conclusion about channels, cohorts and conversion until the refunds have landed.
Every platform reports a different number and each is internally consistent. Pick one as the ledger, treat the rest as opinion, and test the things that decide budget.
It recovers less than the report claims, it only reaches people who already gave you their address, and it is usually a plaster over a checkout problem you could fix.
Every case study you have read about this measured the wrong number on somebody else’s store. This is what the choice turns on.
A segment earns its existence when something specific happens differently because of it. Most stores have thirty segments and four decisions.
Post-BFCM retention is decided by the parcel, the returns process and the timing of the second contact: not by the discount you send in December.
Showing a delivery date helps because it removes a question, not because dates are persuasive. If your date is slow, showing it is still the right call, and it will cost you some orders.
Video helps when it answers a question a photograph cannot. For most catalogs that is a small number of products, and the fourth photo would have done more.
Most of your sessions are phones and most of your revenue probably is not. Some of that gap is measurement, some of it is intent, and a stubborn part of it is your theme.
Shopify already gives you segments, recommendations and the logged-in customer in Liquid. The wall is the anonymous first-time visitor, and most platforms are sold on the wrong side of it.
Peak data is the least representative data you will collect all year, and most of the conclusions drawn from it in January do not survive February.
NEXT STEP
A senior Shopify engineer reviews your storefront, theme performance and checkout, then sends a prioritized list of fixes.