CRO Glossary
Above-the-Fold Button Color Test
A test comparing different colors of a prominent call-to-action button to see which drives more clicks or conversions.
A button color test is one of the most iconic (and often overhyped) examples of A/B testing: changing the color of a call-to-action button, such as from blue to orange, to see whether it changes click-through or conversion rates. It's frequently used as a teaching example because it's simple to set up and easy to visualize, but it has also become shorthand for shallow, low-impact experimentation.
The reason color sometimes matters is contrast and visual hierarchy, not the color itself. A button that stands out clearly against its background is easier to notice and click, regardless of whether it's red or green. This is why the same color change can win on one page and do nothing on another: what matters is relative contrast with surrounding elements, not an inherent property of a hue.
Practitioners should treat button color tests with healthy skepticism. They're low-effort to run and can produce a quick, presentable result, which makes them popular with teams under pressure to show experimentation wins. But because the effect size is usually small and highly context-dependent, a color test rarely generalizes to other pages or products, and teams that rely on them too heavily can end up optimizing for noise rather than real user friction.
A better use of a color test is as part of a broader visual hierarchy investigation, alongside button size, placement, and copy, rather than as a standalone initiative expected to move the needle on revenue.
Related terms
Above vs Below Median Split
A segmentation technique that divides users into two groups at the median of a metric to compare high and low engagers.
Qualitative Feedback Loop
A recurring process of collecting and acting on user comments, session recordings, and survey responses to inform test hypotheses.
Experiment Metadata
The structured record of who, what, when, and how for a test — hypothesis, owner, dates, variants, and metrics used to track and audit it.
Pre-Test Analysis
The upfront work of validating traffic, metrics, and baseline data quality before launching an experiment.
Above-the-Fold vs Below-the-Fold Messaging Hierarchy
How the order and prominence of value-proposition messaging is split between the visible screen and the rest of the page.
Experiment Contamination
When a control or variant group is unintentionally exposed to the other condition, corrupting the comparison.
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