As seen, client segmentation and its depth produc uk phone number database e different results for marketing activity. Dividing the audience into target groups helps brands significantly save on advertising budgets. Moreover, it increases customer loyalty because you seem to guess their desires. Statistically, 91% of consumers say they are more likely to purchase from a brand that provides personalized offers and recommendations.
How to Segment App Users?
For an effective transition from mass marketing to a segmented approach, it is essential to understand the audience and identify the proper criteria for grouping customers.
Basic approaches involve demographic and geographic segmentation. Usually, this information about the customer is easy to obtain, but sometimes this superficial division into groups is not enough. Then marketers turn to psychographic and behavioral segmentation. These types take into account the user's characteristics and allow you to create the most personalized messages.
Types of customer segmentation
There are many other approaches to effective customer segmentation, but the general logic is to divide the audience by one of the two types of behavioral and psychographic data:
user's personal attributes;
user's actions (or inactions).
Audience segment examples
Data types for audience segmentation
As we can see, one person can have a wide range of characteristics, meaning an infinite number of ways to combine them. So how to create the right user groups to achieve your customer segmentation goals?
1. Make your goal clear. "I want to bring back inactive users" is a natural desire of all app creators, but it's a rather vague wish. If you articulate your goal as "I want to reduce customer churn after 7 days of using the app," it will be much easier to find a solution. You should conduct small customer segmentation research to figure out common traits of users who become inactive soon: where they come from, what in-app actions they take, what stage they leave at, and so on.