This is SplitDial, with sample data
Every A/B test you run in Klaviyo would appear here, each with one plain-English answer. Nothing below is real, it is a fixed sample, updated 2 minutes ago. When you connect your own account, these become your tests.
Klaviyo's automatic winner selection is ON for this test. It may end the test early and skew the result. One click turns it off.
This test just started. Tell SplitDial which metric should decide it, anything from opens to fewest unsubscribes.
Free shipping won. It lifted revenue per recipient by 18.2%, and the likely range stays comfortably above zero.
Decision (Aug 23): Rolled out the winner
No real difference. Both send times reached the same open rate once Apple auto-opens were removed.
Decision: No action needed
Can't be trusted: the two variations didn't get an even split (a sample ratio mismatch), so any winner would be an artifact, not a real effect.
Collecting data. About 76% of the way to a reliable read.
At this pace, big enough around Sep 6.
Collecting data. About 42% of the recipients needed to spot a 10% lift in order rate.
At this pace, big enough around Sep 14.
Free shipping won. It lifted revenue per recipient by 18.2%, and the likely range stays comfortably above zero.
- Likely range: the true lift is very likely between +6% and +30%. Because that whole range stays above zero, the win is real, not noise.
- Judged on: Revenue per recipient, from 12,480 recipients. Opens exclude Apple auto-opens; clicks exclude bots.
- Matches Klaviyo: recipients and revenue reconcile with Klaviyo's own report within 2%, so the number rests on data you can trust.
- Decision: Rolled out the winner (Aug 23).
See this with your own tests
Connect a read-only Klaviyo key and SplitDial finds every A/B test you have run, past and present. It never writes to Klaviyo unless you click it yourself.
Sample data for illustration. Open rates exclude Apple auto-opens; click rates exclude bot clicks. Every verdict is computed from raw events, never from Klaviyo's aggregate reports.