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Segmentation methods
Segmentation is carried out in different ways, depending on the goals and specifics of the business. Here are the main methods:

Demographic segmentation. The audience is grouped by age, gender, income, marital status, or education. For example, a cosmetics brand might target women aged 25–40 with above-average income.
Geographic segmentation. Dividing the audience by place of residence: countries, cities, climate zones. This is important for local businesses or weather-related products, such as winter clothing.
Psychographic segmentation. Taking into account values, interests, lifestyle and behavior.
Behavioral segmentation. Here, customers are grouped by frequency of purchases, reaction to promotions, and brand loyalty . An online store can identify customers who buy only on discounts.
Life cycle segmentation. For example, young families are more likely to look for furniture and baby products than sports cars.
Segmentation by needs. Focus on the problems the product solves.
Benefits of Segmentation
Like understanding the target audience as a whole, segmentation helps a business engage with its audience more effectively:

make more targeted offers,
save your advertising budget,
,
increase loyalty.
What segmentation won't work

Sometimes teams decide to segment the audience to make more personalized offers on the site. For example, they divide users into those who have not yet bought, those who are buying for the first time, or those who are making a repeat purchase. It seems like a nice presentation describing people's behavior, but it is still not clear what to do with them. As a result, people come up with a bunch of segments to then send them all the same mass mailing. Thus, all the work done to identify target list of dubai cell phone number audience portraits is devalued in one fell swoop.

Examples of segmentation
It is not necessary to choose one method. They can be combined for greater accuracy.

Online services most often segment their audiences by stages of the sales funnel:

trial users,
paying customers,
those who went into the outflow.
In addition, in B2B they often add divisions by tariffs or business area.

Online stores prefer to use RFM analysis .

Clients are divided into groups by:

number of purchases,
average check amount,
time of last purchase.
Additional criteria are often used, such as: gender, type of business (B2B or B2C).

If standard segmentation methods don't work for you, consider four basic methods: