Need deeper market research than a definition?
Explore Our Research Services
A/B Testing
Definition
A/B Testing is an experimental research method used to compare two versions of a product, process, interface, message, or marketing asset in order to determine which performs more effectively against a predefined objective. Participants are divided into comparable groups, with each group exposed to a different version while performance is measured using consistent evaluation criteria.
Although widely associated with digital marketing, A/B Testing is applicable across many business functions, including pricing, product design, customer experience, sales processes, communication strategies, onboarding, and operational improvement. Its primary strength lies in isolating the impact of a single variable while minimizing the influence of unrelated factors.
Well-designed A/B Tests require clear hypotheses, representative samples, sufficient statistical power, and disciplined interpretation. Poor experimental design may produce misleading conclusions even when the underlying data appears convincing.
Why It Matters
Organizations frequently make changes based on assumptions or personal preferences rather than evidence. A/B Testing replaces opinion with experimentation by allowing competing alternatives to be evaluated objectively before large-scale implementation. This approach reduces decision risk, improves learning, and supports continuous optimization through measurable evidence rather than intuition alone.