A/B testing compares two variants to determine which performs better. Standard growth tool.
Holdout tests exclude a segment from a treatment to measure true incremental impact.
Test multiple variables simultaneously. More complex than A/B, needs more traffic.
The threshold that tells you your test result isn't random noise.
Number of experiments per week. Higher velocity = more learning = more wins.