Once you have chosen a benchmarking method, you need to collect and analyze the data that will help you compare your customer satisfaction with your peers or standards. To do this, you must first define your target customer segments and sample size. Consider criteria such as demographics, behavior, preferences, or loyalty when segmenting customers. Additionally, ensure that your sample size is large enough to be representative and reliable. Then, you must choose data collection channels and tools; for example, use online or offline channels such as email, phone, web, social media, or in-store. Use appropriate tools such as survey software, feedback platforms, or loyalty apps to design, distribute, and manage your data collection process. Finally, analyze the data and compare it with your benchmarks. Utilize descriptive statistics such as mean, median or standard deviation to describe customer satisfaction levels. Moreover, use inferential statistics such as correlation, regression, or hypothesis testing to explore the relationships and differences between customer satisfaction and benchmarks.