When our customers buy vehicles in the form of financial products, everyone has different choices. Within the scope of financial products we provide, some bulk sms service customers are satisfied, and some customers are not. How to let every customer choose their own products happily? How can all customer needs be met? How to refine the allocation of financial products? We can have a chat. 1. Dimensions of market segmentation When we formulate financial products in a targeted manner, we need to have different segmentation dimensions. Proper dimensional segmentation can help us to better profile each customer. 1. Geographic segmentation Geographic segmentation refers to bulk sms service segmenting the market according to the geographic location and natural environment of buyers of auto financial products.
Buyers in different geographical locations have different needs and preferences for the same type of auto financial products. They also respond differently bulk sms service to marketing measures such as price, sales channels, advertising, etc. 2. Demographic segmentation Population segmentation is actually the age, occupation, income, education, family size, etc. that we are most familiar with on weekdays. There are many dimensions, but it is not difficult to measure. These factors are closely related to the demand for auto financial products. 3. Social class segmentation This terminal plus is divided into different levels of wealth, education level and social status. People of different bulk sms service social classes have different consumption power and service needs. 2. Customer portraits help market segmentation
We have the above division dimensions, we can picture our users: 1. Data collection For auto finance companies, the data involved above is actually bulk sms service the data that needs to be reviewed during the application process, so it is not difficult for all companies to collect data. The difficulty lies in the abstraction behind. According to the dimensions listed above, we carry out subsequent customer classification 2. Data classification When we have enough data to collect, we need to have our own classification rules. From our data, we classify the data according to the dimensions we divide. For example: Family situation: single, living with parents, married with bulk sms service children, etc. Occupation: Programmer, contractor, self-media person, etc. These subdivisions are based on the customer data we have obtained and the division of our experience and speculation. At the same time,