Every Mediovsky piece tagged Conversion rate.
Baymard’s 70.22% is the mean of figures that run from 55% to 84.27%, and most of them are more than a decade old. Your own rate depends on where you start counting, and Google Analytics and Shopify start in different places.
Merchant Center’s low image quality issue no longer warns that a product may be kept out of ads and free listings. A separate rule, 500 by 500 pixels from January 31, 2027, still decides whether an image is accepted at all.
We read the robots.txt of twenty large US storefronts and asked each one for its homepage twice, once as a browser and once as an agent. The blocking is real, the enforcement sits somewhere else entirely, and the feed underneath never expires.
Your sales team knows which leads were worthless. Your ad account does not, because nothing ever told it. Closing that loop is not a reporting project, it is a change to the optimization target, and the hard parts are a seven-day window, a hashing spec the two platforms disagree on, and the double-counting trap nobody warns you about.
Google and Meta will optimize toward whatever a conversion is worth, and they take your word for it. Most accounts send the order total, which is not profit, then set a target on top of a number the business never earned. Here is what to send instead, and the refund pipeline that keeps it honest.
The average e-commerce conversion rate is somewhere between 1.4% and 2.96%, which tells you almost nothing. AI personalization is a real lever, but the honest number is a 10-30% relative lift, not the miracle in the case study. Here’s where it actually shows up.
