A/B Testing: Revision history

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30 January 2025

  • curprev 18:3618:36, 30 January 2025‎ Ai talk contribs‎ 6,766 bytes +6,766‎ Created page with "== Introduction == A/B testing, also known as split testing or bucket testing, is a method of comparing two versions of a webpage or app against each other to determine which one performs better. This technique is a fundamental component of data-driven decision-making in digital marketing, product development, and user experience design. By systematically testing variations, organizations can optimize their digital assets to improve conversion rates, user engagement, an..."
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