Creating customer segments
Posted: Sun Dec 22, 2024 4:58 am
What do you do with all of the data you’ve gathered for your predictive analytics? Use it to aid the segmentation of your customers. This data can come from sources such as transaction history, customer surveys, browsing behaviour, and geographic location, and be used to predict how these different groups of customers might respond to new products.
There are five key types france phone number list of segmentation: psychographic, demographic, behavioural, geographic and technographic. All of these are areas from which you can collect data about your customers - everything from where they live, what industry they work in, and what their shopping habits mean for your business. So long as all of this data is collected compliantly, you’ll be free to use this information to sort them into segments.
Not only does good segmentation mean that you’re better able to understand your customers - it can actually help to improve your product, by teaching you more about the people who use it, what their next problem might be, and how you can solve it for them.
Enabling deeper customer analysis
Every time a customer has walked into a shop, seen something, and felt like it was made for them, you can almost guarantee that somewhere along the line predictive analytics was involved. Customers like to feel known by the brands they support - they want to be shown things that appeal to them, through the channels they prefer to interact with, for a price that fits their budget. Gaining this kind of insight into your customers through predictive analytics such as basket analysis, behaviour analysis, and churn prediction can only help your business.
There are five key types france phone number list of segmentation: psychographic, demographic, behavioural, geographic and technographic. All of these are areas from which you can collect data about your customers - everything from where they live, what industry they work in, and what their shopping habits mean for your business. So long as all of this data is collected compliantly, you’ll be free to use this information to sort them into segments.
Not only does good segmentation mean that you’re better able to understand your customers - it can actually help to improve your product, by teaching you more about the people who use it, what their next problem might be, and how you can solve it for them.
Enabling deeper customer analysis
Every time a customer has walked into a shop, seen something, and felt like it was made for them, you can almost guarantee that somewhere along the line predictive analytics was involved. Customers like to feel known by the brands they support - they want to be shown things that appeal to them, through the channels they prefer to interact with, for a price that fits their budget. Gaining this kind of insight into your customers through predictive analytics such as basket analysis, behaviour analysis, and churn prediction can only help your business.