Bucketing, also known as binning, is a valuable technique in SQL for grouping continuous data, such as numbers and timestamps, to identify trends and opportunities within a business context. This method involves using functions like `trunc` for numbers and `date_trunc` for time intervals to categorize data into manageable segments. Additionally, custom buckets can be created using the `width_bucket` function in Postgres, allowing for more tailored data grouping based on business needs. The article demonstrates the application of bucketing using mock data from Numeracy, highlighting how it can segment user behaviors and influence marketing strategies and product design. By categorizing users into defined personas, such as those who connect to a database within 15 minutes, within a week, or later, businesses can better understand conversion rates and optimize for higher engagement. The ultimate goal of bucketing is to transform raw data into actionable insights that can guide strategic decision-making and uncover untapped potential within an organization.