When doing user screening, many people will try to use some tags to target "better people", such as device type, account status, etc. One of the more common combinations is iPhone users + blue label accounts. This combination looks closer to high-quality users, but the actual effect depends on how it is used.
The key is not the combination itself, but whether the combination is used in the appropriate position.
Why focus on “high-value users”
In the process of acquiring customers, the amount of data is not the most important, conversion efficiency is the core. If the majority of users in a batch of data will not generate feedback, then no matter how much is sent, the results will not change significantly.
Therefore, screening for "people more likely to convert" is essentially to reduce ineffective contacts and focus resources on more valuable users.
The significance of iPhone users in screening numbers
Equipment type can be used as a basic judgment dimension. iPhone users usually mean that the device is newer and the system environment is stable. Such users are more likely to form stable communication in certain scenarios.
For example, in scenarios where products with high customer unit prices or strong payment capabilities are required, iPhone users tend to receive more attention.
However, it should be noted that equipment is only an environmental label and is not directly equivalent to consumption power or activity.
What does the blue label account represent?
A blue label account usually means that the account has been certified, the information is more standardized, and the account stability is higher. This type of account is closer to real users in use and easier to build trust.
During the screening process, the blue label can be used as a reference dimension for account quality to distinguish ordinary accounts from more standardized accounts.
Filtering logic for combination of two conditions
Combining device type and account status is essentially superimposing filtering conditions.
iPhone user representative usage environment
The blue label account represents the degree of account standardization
After combination, a group of users who meet both conditions can be screened out. Such users usually do not account for a high proportion in the overall data, but the structure is more concentrated.
Advantages and limitations of this combination
The advantage of combined filtering is that the data is more accurate and the user quality is higher, which is suitable for scenarios with higher conversion requirements.
But at the same time, there are obvious limitations: the filtering scope will become smaller and the amount of data will be significantly reduced. If you directly use this kind of data for large-scale reach, it may not be enough to support the overall demand.
Therefore, it is more suitable to use this type of users as the priority group to reach, rather than all data sources.
More reasonable use
In actual operations, this type of combined data can be used as high-priority groups.
For example:
Prioritize reaching iPhone + blue label users
Then gradually expand to other active users
Finally, supplement medium and low quality data according to the situation.
This layered approach can ensure conversion while taking into account the data scale.
Use Amman to achieve multi-dimensional combination screening more directly
In the actual screen number, Amman can identify the device type and account status at the same time, and supports combination with conditions such as activity level. Through one round of screening, multi-dimensional conditions can be superimposed to obtain a batch of data that is closer to the target users.
It also supports batch processing and API access. This type of combination filtering can be directly put into the process instead of manually processing it step by step.
The core of combination screening is to use it in the right place
The combination of iPhone users and blue label accounts can indeed help screen out a higher quality group of users, but it is more suitable as a layer in the screening system rather than the only criterion.
When this type of combination is used together with conditions such as activity and region, the data will be more layered and easier to match actual usage scenarios.
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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