Growth hacking og a/b-testing

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Growth hacking is a data-driven approach focused on rapid experimentation across marketing, product development, and sales funnels to identify the most effective ways to grow a business quickly and cost-effectively. A/B testing is a core experimental method within growth hacking that allows marketers and growth teams to compare two or more variations of a webpage, email, or feature to determine which version drives better user engagement or conversion metrics. The WHY of their relationship lies in growth hacking’s reliance on continuous, iterative testing to optimize growth levers; without A/B testing, growth hackers cannot validate hypotheses or quantify the impact of changes. The HOW is that growth hackers design hypotheses based on user behavior or market insights, implement A/B tests to isolate variables, and analyze results to decide which tactics to scale or discard. This cycle accelerates learning and growth by minimizing guesswork and enabling evidence-based decision-making, making A/B testing an indispensable technique within the growth hacking toolkit.

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