The process of A/B testing is manual, overly generalized, clunky, and error-prone. Certainly not personalized per user. Because the results of A/B tests can only be seen in retrospect, preventing real-time reaction and true automation. Furthermore, A/B tests only capture a moment in time; when market conditions change, A/B tests are not capturing the new data to learn from new results automatically.
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