Post by JUTHI on Oct 21, 2023 10:33:55 GMT
This is why it will be easier to adjust, among others: sending guide content, but also individual advertisements, without spamming customers with messages that are worthless to them. Check also: How to use personalization in mailings to increase sales? Now that we have explained what customer segmentation is and why it is worth introducing this process into your business, it will be necessary to familiarize yourself with the most popular types of user segmentation.
Types of data in customer segmentation Before starting user segmentation, every company must answer a key question - on what basis to divide customers so that the segmentation meets the phone number list requirements of both parties. For this reason, there are several types of data that are worth considering when creating user groups. Declarative data Declarative data, data that recipients share themselves.
By completing a contact questionnaire or a registration form on a website or in a loyalty program. Typically, this data includes information about age, gender, education and place of residence. Often, the customer is also asked to provide additional information, such as purchasing preferences. It should be noted that a woman in her 20s will be looking for completely different products than a man in his 70s. In this case, the differences will result not only from different gender or age, but also from the budget available to the user.
Types of data in customer segmentation Before starting user segmentation, every company must answer a key question - on what basis to divide customers so that the segmentation meets the phone number list requirements of both parties. For this reason, there are several types of data that are worth considering when creating user groups. Declarative data Declarative data, data that recipients share themselves.
By completing a contact questionnaire or a registration form on a website or in a loyalty program. Typically, this data includes information about age, gender, education and place of residence. Often, the customer is also asked to provide additional information, such as purchasing preferences. It should be noted that a woman in her 20s will be looking for completely different products than a man in his 70s. In this case, the differences will result not only from different gender or age, but also from the budget available to the user.