One row per customer is a different problem from one row per customer per month. Shape decides which methods can apply to your file at all. More are in build.
That is the actual report this analysis produces — not a mock-up. Every analysis on this page delivers the same shape of output on your own data.
Every analysis classified under this data shape.
Can I stop this experiment early? Sequential testing with always-valid inference so peeking does not inflate false positives.
Did my variant win?
Do my groups differ once I adjust for a covariate?
Posterior probability of winning, expected loss; no peeking problem.
Are these two things practically the SAME within a margin?
Do my groups actually differ?
Which results survive multiple-testing correction?
Is the comparison fair once groups are matched?
Did the conversion rate really differ?
Did the same subjects change across three or more conditions?
What range does the true value plausibly lie in? Bayesian posterior estimates and credible intervals for means, rates, differences.
Tell us what went wrong, in your own words. We capture the page you're on automatically, so no need to describe where you are.