A/B testing
ConversionDefinition
A/B testing is comparing two versions of a page, email, or ad by splitting traffic between them and measuring which converts better. It replaces opinion with evidence: the variant wins because visitors chose it, and the result carries statistical confidence rather than taste.
A sound test isolates one meaningful change, runs on a pre-declared metric and sample size, and resists peeking. Underpowered tests are the field’s quiet epidemic: without enough conversions, “winners” are noise wearing a medal.
Test where stakes and traffic justify it (headlines, offers, CTAs on money pages) and use judgment where they do not. A backlog of sharp hypotheses beats a habit of testing button colors.
How Savra puts it to work
Savra’s conversion domain drafts on-brand variants worth testing and reads results from your analytics, so experiments move from idea to verdict inside one system.
People also ask
How long should an A/B test run?
Until it reaches the sample size you calculated up front, and at least one full business cycle (usually two weeks) to wash out day-of-week effects.
What should I test first?
The value proposition and headline on your highest-traffic conversion page. Structural clarity beats cosmetic tweaks by an order of magnitude.
Where this lives in Savra
See how Savra puts a/b testing to work.
Does your brand sound like itself?
Run the free 90-second Brand Genome audit and see where your marketing drifts off-voice.