A company is evaluating two marketing strategies. To make a data-driven decision, what approach should they primarily use?
- A/B Testing
- Descriptive Analytics
- Hypothesis Testing
- Predictive Modeling
A/B testing involves comparing two versions (A and B) to determine which performs better. It is commonly used in marketing to evaluate different strategies and make data-driven decisions based on observed performance. Descriptive analytics focuses on summarizing and presenting historical data, while predictive modeling involves forecasting future trends. Hypothesis testing is used to assess the significance of observed differences.
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