In the stage where user screening is becoming more and more sophisticated, many teams have begun to shift their attention from "young traffic" to "high-quality crowds". Among them, groups such as mature female WhatsApp users have received significant attention recently, especially in the high-customer single industry, and their frequency of use is increasing.
This is not a simple label change, but an adjustment in the customer acquisition logic. From the pursuit of quantity to the pursuit of more stable conversion.
Why are female mature users starting to be focused on?
Judging from actual conversion performance, this type of users is more stable in multiple dimensions. Compared with young users, their decision-making rhythm is clearer, they are less susceptible to frequent interference, and they filter information more directly.
During the communication process, such users tend not to test frequently, but pay more attention to whether the content itself matches their needs. Once you enter the communication stage, subsequent progress will be smoother.
This stability makes them easier to transform in the current environment.
Typical characteristics of this type of user
During the screening process, it can be found that this type of users usually have several characteristics in common.
The account usage is relatively stable and will not be changed frequently.
Moderate activity and continuous use behavior
The communication rhythm is rational and not prone to extreme fluctuations.
The combination of these characteristics makes this type of user more suitable for long-term communication rather than short-term stimulation.
Why is it more suitable for high-customer single industries?
High-customer single products often require a longer decision-making path and a more stable trust foundation. Compared with impulsive consumption, these users value value matching more than pure price.
Mature female users are more likely to understand product logic in such scenarios and are more willing to invest time in making judgments. Once trust is established, the conversion process becomes smoother.
Therefore, in some high-customer single businesses, the performance of this group of people will be significantly better than that of general traffic users.
The core logic for screening such users
In actual operation, you cannot directly use labels to filter, but need to shrink the data layer by layer.
First confirm whether the number is registered with WhatsApp, this is the basic condition.
Then screen active users to ensure that the account has usage behavior.
Then further filtering is done based on gender and age tendency.
The advantage of this sequence is to ensure that the data is available first, and then gradually approach the target population, rather than setting complicated conditions at the beginning.
Why screening too strictly will affect the results
During the screening process, a problem that easily arises is that too many conditions are superimposed, resulting in a sharp decrease in the amount of data.
If multiple conditions such as gender, age, and equipment are strictly restricted from the beginning, it is likely that the size of the screened data is insufficient to support actual use.
Therefore, a more reasonable way is to first screen out high-quality basic data and then gradually refine it during use, rather than getting it right in one step.
When using Amman, it is more suitable for this kind of fine screening.
In the actual screening process, if you rely on manual screening, it will be difficult to stably screen out such users. A more suitable way is to complete the first round of filtering through systematic processing.
Through Amman, you can perform batch detection on numbers, identify WhatsApp registration status, and filter based on activity levels. On this basis, by overlaying crowd attributes for refinement, target users can be obtained more efficiently.
The advantage of this method is that the screening process is completed layer by layer instead of one-time compression.
From quantity to quality is the core change in current screening
In the current environment, the logic of customer acquisition is changing. Rather than simply expanding the size of the data, it is more important to make each batch of data closer to the target users.
The reason why female mature users are paid attention to is essentially because they are closer to the stable conversion group. When the filtering logic is adjusted, the data structure will be more centralized and the usage efficiency will be improved.
Amman is the world's leading number screening platform, providing global customers with batch number screening and testing services covering 236 countries. The platform currently supports more than 40 mainstream social networking and applications, including WhatsApp, Line, Twitter, Facebook, Instagram, LinkedIn, Viber, Zalo, Binance, Signal, etc., adapting to the needs of multiple scenarios.
The main core functions cover multi-dimensional precise screening such as activation, activity, interaction, gender, avatar, age, online, accuracy, empty account, mobile phone device, etc., and can flexibly meet the needs of different users. Its core advantage is to integrate global mainstream social and application resources to provide users with one-stop, real-time and efficient number precision screening services, helping customers achieve global digital layout.
It is a common choice for all professional teams to complete rational screening before actually reaching users.
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