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SEO A/B Test — a controlled experiment that changes an SEO element for a group of comparable pages and measures the causal effect on organic search performance.
The method or report helps identify changes in indexing, traffic quality, links, or conversions. Data needs context: correlation after a change does not prove that the change caused the result.
SEO A/B Test — a controlled experiment that changes an SEO element for a group of comparable pages and measures the causal effect on organic search performance.
It helps identify problems, compare segments, and decide on site changes. Interpretation depends on the period, data source, and selected control group.
Define the hypothesis and baseline, segment the data, and account for seasonality and concurrent changes. For experiments, specify the primary metric and adequate duration in advance.
