Quantitative data can be specific to individual customers, leads, or deals, or it can be aggregated. This type of data can help to understand how a record behaves, thinks, or feels. Quantitative data provides objective and numerical information about behaviors or feelings of a record, such as the number of times a customer clicks on an email, the potential revenue size of a current deal, or the total number of service tickets filed by a customer. It can be more difficult to create or filter contact information based on qualitative data, but CRM systems allow you to add this information to profile records as notes or activity. This type of information can be used to understand the thoughts of leads and customers and can help to improve and develop products or services, enhance customer support, and optimize CRM marketing, sales campaigns, and operations. Qualitative CRM data refers to the motivations, behaviors, or feelings of a lead or customer that cannot be quantifiedįor example, if you are selling project management software to a corporation, their industry and company size represent what the record is, while their desire to find a more affordable software solution represents what the record thinks. Descriptive data provides information about what a record is, while qualitative data provides information about what a record thinks, does, or feels about a brand, product, or service. The main difference between descriptive and qualitative data is the scope from which the information is obtained. A lead expressing an interest in the business’s product or service due to a desire to improve operational efficiency.
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