The complete guide to customer data capture

The-complete-guide-to-data-capture-(customer data capture)

What is data capture?

How does data capture work?

Data capture benefits

Data capture best practices

Data capture examples

Data capture tools

The four types of customer data are:

  1. Demographic data, including age, gender, and location.
  2. Behavioral data, such as purchase history and website interactions.
  3. Psychographic data, covering interests and preferences.
  4. Firmographic data, which pertains to business customers and includes industry and company size.

Data entry involves manually inputting information into a system or database. Data capture automates the process of extracting data from various sources, including physical documents, emails, or forms, and then converting it into digital format for further use. Following data capture best practice can help marketers capture more data from existing and prospective customers.

Customer data collected directly from a customer includes personal information like name, contact details, and demographic data such as age and location. Additionally, preferences, feedback, purchase history, and social proof such as reviews and ratings are obtained through direct interactions and surveys.