A company is conducting a market research study to analyze customer preferences for a new product. They start by collecting a large set of potential respondents , filter them based on relevant demographic criteria , and further refine the sample by considering purchasing behavior . Finally, they select a representative subset of customers for in-depth analysis. This process is an example of:

Explanation - The Sampling Funnel Approach is a structured method used to refine large datasets into meaningful, representative samples by filtering data through progressive stages . This technique is commonly applied in data analytics, marketing research, and predictive modeling to improve the quality and relevance of sampled data.   In the given question, the company initially collects a broad pool of respondents but does not use them all. Instead, they apply multiple filtering stages based on demographics, purchasing behavior , and other relevant attributes to narrow down the dataset. This step-by-step elimination process , where irrelevant or non-representative samples are removed in layers, perfectly aligns with the sampling funnel methodology .