Definition
A/B testing is the process of comparing two versions of a webpage, email, or ad to determine which one performs better by showing the variants to similar visitors at the same time. It isolates a single variable — a headline, button color, layout, or call-to-action — so you can measure which version drives more conversions and make data-backed decisions instead of guessing.
Why it matters for Detroit businesses
Detroit businesses that rely on assumptions waste budget. House of Karma continuously A/B tests landing pages, ad creatives, and email subject lines so your marketing spend goes to the highest-converting variations — every decision backed by real performance data, not opinion.
A/B testing compares two versions of a single page or asset by changing one variable at a time. Multivariate testing changes multiple variables simultaneously to understand how they interact, but requires significantly more traffic to reach statistical significance. Most small and mid-size businesses should start with A/B testing.
An A/B test should run until it reaches statistical significance — typically a minimum of one to two weeks depending on your traffic volume. Stopping a test too early leads to unreliable conclusions. House of Karma monitors confidence levels and sample size before declaring a winner.
Related terms
Understanding the terminology is step one. Let's build the systems behind it.