Data is one of the most valuable assets that businesses have. The more information you have about your customers, the better you can understand their interests, needs, and demands. This upgraded understanding helps you to meet and exceed your customers’ expectations and create messaging and products that appeal to them. In this article, we will briefly introduce eight simple data collection techniques that are applicable to a variety of different business models.

Quantitative Data

Quantitative data is tangible and countable. It comes in numbers, quantities, and qualities. It portrays things in concrete and effectively quantifiable terms. A good example is customer data. For example, you can track the names of customers who purchased a given item, the rating a client gave a customer service interaction, or the amount of time a visitor spent on your website.

Qualitative Data

Qualitative data is engaging, as opposed to numeric. It is less concrete and less effectively quantifiable than quantitative data. This data may contain public sentiments and opinions. Some good examples are online reviews, responses to a survey given to clients, or the chat logs between a client and a customer care representative.

Since quantitative data is numeric and quantifiable, it loans itself well to analytics. At the point when you break down quantitative data, you may reveal insights that can assist you with better comprehending your audience.

Qualitative data helps explain the “why” behind the quantitative data. Hence, it helps supplement quantitative data, which will shape the establishment of your data strategy.

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