there are three best practices for creating a successful segmentation strategy. two of them are having a clean and organized database and collecting the right information. what is the third?

Data management is crucial for programming of all types to succeed and create the ideal user and customer experience.
To effectively manage data, it's important to understand the different types of data you can collect and analyze. Two main types of data include implicit and explicit data, which can help you better understand your audiences and how they interact with your programming.
Explicit data is the type of data that establishes a clear meaning without any need to analyze it further. Specifically, it's information that people voluntarily submit such as personal contact details, answers to surveys, and other details you can take at face value.
Implicit data, unlike explicit data, people don't willingly provide implicit data and it isn't as raw. You can infer implicit data based on the explicit data you already have.
You can collect this type of data by interpreting explicit data or receiving it through various data sources. Depending on what you want to achieve with your implicit data, you can choose specific channels to collect different types of data.

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