In what order should the steps to conduct a marketing experiment be completed?

Make a hypothesis, collect research, choose measurement metrics, create and execute the experiment, analyze the results

Choose measurement metrics, collect research, make a hypothesis, create and execute the experiment, analyze the results

Analyze the results, make a hypothesis, choose measurement metrics, create and execute the experiment, collect research

Collect research, choose measurement metrics, make a hypothesis, analyze the results, create and execute the experiment


Choose an option to see if it’s correct. Check the explanation below.

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Explanation: In what order should the steps to conduct a marketing experiment be completed?


Explanation: To conduct a marketing experiment effectively, it's crucial to follow a structured approach, and the correct order of steps begins with **making a hypothesis**. This initial step involves formulating a clear and testable statement about the expected outcome of the experiment based on existing knowledge and insights. Once the hypothesis is established, the next step is to **collect research** to gather relevant data and insights that will inform the experiment's design and parameters. Following this, marketers should **choose measurement metrics** that align with the experiment's goals and objectives, ensuring that the selected metrics will accurately gauge the impact of the experiment on the target variables. With the hypothesis, research, and metrics in place, the next step is to **create and execute the experiment** according to the predefined plan, ensuring consistency and accuracy in implementation. Finally, after the experiment has been conducted, marketers need to thoroughly **analyze the results** to assess the experiment's effectiveness, validate or refute the initial hypothesis, and derive actionable insights for future marketing strategies. This systematic approach, starting from hypothesis formulation and progressing through research, metric selection, experiment execution, and result analysis, ensures that marketers conduct experiments in a methodical and rigorous manner, maximizing the validity and reliability of the findings obtained.
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