Segmentation of target audience: types, methods and importance for business
Posted: Tue Feb 18, 2025 7:21 am
What is a target audience and why segment it?
The target audience consists of users who are not only potentially interested in the product offered, but also capable of becoming clients. Because otherwise, the budget allocated for marketing expenses simply will not pay off, and the business will not make a profit. For example, a business is built on sales of premium residential real estate. Who might be interested in this product? According to surveys , about a third of Russians plan to buy real estate, which is about 48 million people. But will all of them become clients of a company selling luxury housing? Definitely not. And the criteria that narrow the sample will be at least two parameters: income level and region of potential or current residence.
Analysis helps businesses manage product promotion more list of us mobile number database effectively, and helps customers meet their needs. Segmentation is the division of the target audience into groups that unite users according to certain characteristics. In digital marketing, this allows you to more accurately formulate and address advertising messages.
What data to use?
You can use different resources: from your own client base to analyzing user profiles on social networks. Or you can do everything at the same time.
Analytics systems. They allow you to analyze online traffic and, based on it, identify two main segments: hot and cold audiences.
CRM. Helps to analyze both online and offline purchases.
User reviews. Highlight how well a product addresses the main pain points and needs of customers.
User profile on social networks. Allows you to get information about hobbies, lifestyle and approximate income level. The method is quite labor-intensive, but the result will be an understanding of effective triggers in communication.
Socioeconomic data. Demographic statistics (changes in the region's population, age and gender distribution, social status), as well as economic statistics (unemployment rate, median salary in the region) are needed to analyze trends and predict user behavior.
The target audience consists of users who are not only potentially interested in the product offered, but also capable of becoming clients. Because otherwise, the budget allocated for marketing expenses simply will not pay off, and the business will not make a profit. For example, a business is built on sales of premium residential real estate. Who might be interested in this product? According to surveys , about a third of Russians plan to buy real estate, which is about 48 million people. But will all of them become clients of a company selling luxury housing? Definitely not. And the criteria that narrow the sample will be at least two parameters: income level and region of potential or current residence.
Analysis helps businesses manage product promotion more list of us mobile number database effectively, and helps customers meet their needs. Segmentation is the division of the target audience into groups that unite users according to certain characteristics. In digital marketing, this allows you to more accurately formulate and address advertising messages.
What data to use?
You can use different resources: from your own client base to analyzing user profiles on social networks. Or you can do everything at the same time.
Analytics systems. They allow you to analyze online traffic and, based on it, identify two main segments: hot and cold audiences.
CRM. Helps to analyze both online and offline purchases.
User reviews. Highlight how well a product addresses the main pain points and needs of customers.
User profile on social networks. Allows you to get information about hobbies, lifestyle and approximate income level. The method is quite labor-intensive, but the result will be an understanding of effective triggers in communication.
Socioeconomic data. Demographic statistics (changes in the region's population, age and gender distribution, social status), as well as economic statistics (unemployment rate, median salary in the region) are needed to analyze trends and predict user behavior.