Learning Effect
When returning users perform differently because they adapt to changes.
The learning effect happens when repeat visitors start performing better (or worse) on a variation over time simply because they get used to the change. It's the opposite of the novelty effect (where users react strongly initially just because something is new). Both can skew test results if not accounted for, especially in longer tests.
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