is a statistical analysis used to understand how customers value different combinations of features and price points related to products or services Correlation Conjoint Pre/post A/B testing

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The statistical analysis used to understand how customers value different combinations of features and price points related to products or services is called **Conjoint Analysis**.

Here's a brief explanation of the options provided:

1. **Correlation**: This measures the relationship between two variables but does not specifically analyze customer preferences for combinations of features and prices.

2. **Conjoint**: This is the correct answer. Conjoint analysis helps in understanding how customers value different attributes (features) and their levels (price points) by presenting them with various combinations and analyzing their preferences.

3. **Pre/post**: This typically refers to studies that compare data before and after a certain event or intervention, not specifically focused on feature and price combinations.

4. **A/B testing**: This is a method used to compare two versions of a product or service to determine which one performs better, but it does not analyze the value of different combinations of features and prices in the same way that conjoint analysis does.

Thus, the answer is **Conjoint**.
The statistical analysis used is **Conjoint Analysis**.

is a statistical analysis used to understand how customers value different combinations of features and price points related to products or services Correlation Conjoint Pre/post A/B testing

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