When developing overseas customers, many teams will directly import a batch of numbers into the system and then start group messaging or private messaging to reach them. However, in actual implementation, there are often situations where the sending volume is not low and the replies are few. The problem is often not with words, but with the very first step: whether the number is enabled for WhatsApp.
The open state is the basis of all contact actions. If there is no confirmation at this level, subsequent actions are basically executed on uncertain data.
Why do you need to confirm the activation status first?
WhatsApp is not like email or SMS. Only users who have opened an account can receive and view messages. Even if the call is successfully sent to an unactivated number, it will not be actually reached.
In unfiltered data, it's common to mix in:
- Unregistered WhatsApp number
- Wrong or non-existent number entered
- Deactivated or unavailable number
If these data are used directly, there will be two results. One is that sending resources are wasted, and the other is that the overall response rate is lowered, making it difficult to judge the real effect.
Therefore, the activation status detection is not an optimization action, but a basic step.
Common Mistakes
Many teams do not do testing alone, but instead send results for inference. This method is acceptable in small-scale testing, but once the amount of data increases, obvious problems will arise.
Common mistakes include:
- Direct mass sending, activation is judged by whether it is delivered or not.
- Verify numbers one by one using private chat test
- Screen while using during the reaching process
The common problems of these methods are low efficiency and unstable results. Especially in batch data scenarios, it is difficult to form a reusable process.
What should be the correct detection method?
A more reasonable way is to complete batch testing before the data enters the contact process.
What the core does is simple:
- Determine whether the number is enabled for WhatsApp
- Filter unactivated or unavailable numbers
- Output the list of available numbers
After this step is completed, the data entering the touch link already meets the basic conditions and does not need to be verified again.
Through Amman, this step of batch testing can be completed directly without the need to test one by one. The system will return the number activation status so that the data has been filtered before use.
Opening testing is only the first level, and screening still needs to continue.
It should be noted that the activation status is only a basic condition and does not mean that the user will definitely respond.
In actual data, the following situations also exist:
- Activated but not used for a long time
- Occasionally used, low activity
- The status is unstable and affects the reach of messages.
Therefore, after the detection is enabled, active users need to be further screened to ensure the reach effect.
Through Amman, you can not only detect the activation status, but also filter based on activity level, further compressing the data to the "currently using" people, instead of staying at the "existence account" level.
A more complete screening process
If you want the data to be truly usable, it can be processed in a fixed order rather than in random combinations.
A more stable process is:
- First perform empty number filtering to remove obviously invalid data.
- Then conduct WhatsApp activation testing to screen out reachable users.
- Then filter the activity and target the people who are currently using it.
Through these three steps, the original data can be sorted from a mixed state into a group of users with actual reach value.
Shianman can integrate these three levels of screening, complete batch processing at one time, and output structured results to avoid repeated operations.
API access turns screening into a fixed process
When the number of data sources increases, it is difficult to ensure efficiency and consistency if manual screening is performed every time. This is a more suitable time to integrate detection capabilities into the system.
Through the Amman API, you can achieve:
- New data import automatically detects activation status
- Automatically filter active users
- Different data automatically enters different pools
In this way, filtering is no longer a separate action, but becomes part of the data process. All data entering the system is filtered by default.
The activation test is done at the front, and it will only make sense later.
In overseas customer development, many optimization actions will focus on the back end, such as speaking skills, rhythm, and conversion paths. But if the front-end data is not processed well, these optimizations will be difficult to work.
It is a more stable path to confirm the number activation status first, and then to reach and convert. Only when the data has basic usability can each subsequent step have judgment value.
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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