Field note · July 30, 2025
Checkout A/B test, in one paragraph
Six thousand users randomised across a control and two variants, with conversion, revenue, device, and a novelty effect that fades over the first week..
ab-test-checkout in one paragraph, for anyone deciding whether it is worth downloading.
6,000 rows, 8 columns, one row per exposed user. Six thousand users randomised across a control and two variants, with conversion, revenue, device, and a novelty effect that fades over the first week.
Every dataset here is synthetic, which is a deliberate trade. It costs realism and buys three things: we can ship it CC0 with no licence trap, we can bake in the exact quirk a lesson needs, and nobody's real records end up in a tutorial.
Something to try: Compute the conversion lift with a proper confidence interval. The SQL playground has it loaded already, and the data explorer will profile every column in one pass if you would rather look before you query.
select *
from ab_test_checkout
limit 20;The file is generated from a fixed seed, so the CSV you download today is byte-identical to the one from last year. That matters more than it sounds: it means a lesson can say "row 412 is the interesting one" and still be right in eighteen months.
Download it, break it, keep it. CC0 — no attribution required, no account, no email.