Baymard surveyed 1,026 US adults who had shopped online in the prior three months. This is what people said they had done. It is not a test of a change to checkout.
What it does not prove: It does not mean guest checkout raises sales by 18%. It is not Shopify-only data. The public page does not provide full survey field dates or recruitment details.
Sahni, Wheeler, and Chintagunta tested emails with three companies and millions of recipients. In the main experiment, adding a name to the subject changed opens from 9.05% to 10.80%. Leads changed from 0.39% to 0.51%.
What it does not prove: Published in 2018. Leads are not orders. This did not test AI, Shopify, or myuser.ai. The public abstract does not give each experiment’s exact sample size.
Sahni, Zou, and Chintagunta compared people sent offers with groups held back at random. Most of the extra spending they found did not use the offered discount.
What it does not prove: One ticket platform, not a Shopify store. Spending is not profit. The public abstract does not state the combined sample count. These results cannot forecast your sales.
These are our calculations with made-up inputs, not measured Shopify averages.
Our worked example · No store data
Why 100 sessions can still mean zero orders.
Assume each session has the same, separate 1% chance of an order. The chance of zero orders in 100 sessions is about 36.6%. That number follows from the inputs. It is not an average for Shopify stores.
Chance of zero orders = (1 − assumed rate)sessions Example: (1 − 0.01)100 ≈ 0.366
This uses the NIST binomial model. Real sessions can include return visits, bots, and different audiences. A high result does not rule out a checkout fault. A low result does not identify a cause.
A plan costs $60 more each month. It saves 0.2 percentage points on eligible payments. That is $2 per $1,000. The extra plan fee is covered at $30,000 a month in those payments.
Extra monthly plan fee ÷ rate saving $60 ÷ 0.002 = $30,000
This simple example holds fixed payment fees equal. If they differ, our tool includes payment count and holds average payment size steady for its threshold. Use your own quotes and one payment type at a time. Country, payment mix, and features can change the decision.
We link myuser.ai where automatic shopper followup fits the job. Its documented features and price are separate from these studies. None of the research above measures myuser.ai or proves a sales lift from using it.
Public Shopify questions help us find real points of confusion. They do not prove a fix works or show how common the problem is. Each new guide separates the question from the official rules and our examples.
