When doing WhatsApp delivery testing, the most easily overlooked point is the data itself. If the numbers are not distinguished between usable and invalid numbers, the test results will often be interfered with. It may seem like a problem with rhetoric or strategy, but in fact the data is not clean.
The focus of the testing phase is not just to see the sending effect, but to clearly separate the data first. The clearer the number screening is, the closer the test results will be to the real situation.
The first level: filter out obviously unavailable numbers first
In the original data, there are usually some invalid numbers mixed in, such as empty numbers, disabled numbers, or accounts in abnormal status. If this part of data is not processed in advance, it will directly lower the test delivery rate.
You can do a round of number detection first to filter out these obviously unusable numbers. After processing in this way, the test data will be cleaner and it will be easier to judge the subsequent effects.
Second level: distinguish whether to register for WhatsApp
Just because the number is available does not mean that it is registered with WhatsApp. Unregistered numbers cannot be reached in the test. If this part of the data is mixed in, it will distort the overall results.
By filtering the registration status and only retaining numbers that have opened WhatsApp, you can ensure that the test is based on reachable users.
The third level: filter out low active users
Even if the number is registered with WhatsApp, it may not be used. Some users do not log in for a long time or rarely check messages. It is difficult for such accounts to generate feedback during testing.
Continuous screening can eliminate low-active users, leaving numbers that are closer to actual usage. This step will directly affect the response rate and interaction of the test.
Why test data should be used in layers
After filtering is complete, it is not recommended to use the data all at once. A more reasonable approach is hierarchical testing, for example, first use a batch of data with higher activity for preliminary verification, and then gradually expand the scope.
This method can see the results faster and reduce the interference of invalid data on the test.
Batch screening can significantly shorten test preparation time
When the amount of data increases, manual filtering is not only slow, but also error-prone. Testing cycles will also be lengthened.
Through Amman, you can directly perform batch testing on numbers and quickly distinguish available numbers, registration status and activity. The entire screening process can be completed in one round, avoiding repeated processing multiple times.
The data prepared in this way can be used directly for testing without requiring additional sorting.
Test results are unstable, often due to data problems
Many times, large fluctuations in test results are not a matter of strategy, but of unstable data structures.
- If the proportion of invalid numbers in a batch of data is high, the results will naturally be low.
- If there are many active users in a batch of data, the feedback will be significantly improved.
Without screening, this kind of fluctuation is difficult to avoid.
After the available numbers, registration status and activity are processed separately, the test results will be closer to the real situation and it will be easier to judge the subsequent direction.
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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