When acquiring customers through multiple channels at the same time, the most common situation is that the data is split and used. There is a set of data for WhatsApp and a set of data for Telegram. It seems that both are running, but the actual efficiency is not high. Many numbers exist on both platforms at the same time, but are treated as two batches of data separately, which will amplify the time and cost.
When the amount of data increases, this decentralized screening method will become more and more difficult. The way to really improve efficiency is to process the screen numbers of multiple platforms together instead of doing each one separately.
Why individual screening is becoming increasingly inefficient
If you screen WhatsApp and Telegram separately, you will encounter several practical problems.
The first is the problem of duplicate data. The same batch of numbers may be registered on two platforms at the same time, but be repeatedly screened in different processes. Secondly, the data cannot be managed uniformly, and the screening results are scattered in different tools or files, requiring repeated sorting for subsequent use. Then there is the inconsistent rhythm. One platform has been screened, but the other has not been processed, and the overall advancement speed is slowed down.
These problems add up, and the result is that it seems to be done all the time, but the data is never centralized and the efficiency of use cannot improve.
Screening together is essentially data integration.
By putting WhatsApp and Telegram in the same screening process, the core change not only saves time, but also makes the data structure clearer.
With the same batch of numbers, you can get results from multiple platforms at once, such as:
- Users who register for both WhatsApp and Telegram
- Users who only exist on one of the platforms
- Number not available on both platforms
In this way, the data is no longer fragmented, but hierarchical. Which numbers can be reached through multiple channels and which ones need to be used alone can be clearly distinguished from the beginning.
Multi-platform screening, the key is to process it at once
If you still operate them separately, you are essentially just duplicating the work in a different way. The truly effective approach is to process a batch of data at once.
In actual operation, numbers can be imported uniformly, WhatsApp and Telegram status can be detected simultaneously through the interface, and the screening process is completed in a set of processes. This not only reduces repeated operations, but also ensures consistent screening criteria.
One screening can directly obtain multi-platform results, which is more stable and easier to reuse than two independent screenings.
After data is layered, it is easier to use directly
After multi-platform filtering is completed, the data will be naturally divided into several categories instead of a bunch of numbers mixed together.
For example, you can directly distinguish:
- Dual platform users, suitable for key use
- Single-platform users are processed separately according to channels.
- Invalid numbers will be eliminated directly.
Under this structure, the data does not need to be sorted repeatedly, and the results can be used as soon as they are obtained. Compared with the original data, most of the screening work has been completed in this step.
API access can truly improve efficiency
When the data size increases, manual operations are difficult to sustain. At this stage, API access will be more appropriate.
Through the API, you can directly integrate the screening step into your own process to automatically detect and return results. After new data comes in, it can directly enter the screening process without manual intervention.
Screen numbering changes from a separate step to a part of the entire process, and efficiency will be significantly improved.
Shi Anman’s actual role in multi-platform screening
In scenarios such as multi-platform screening, Amman can directly integrate the entire process.
It supports multi-platform account status identification and activity judgment . The same batch of numbers can detect WhatsApp and Telegram at the same time without separate operations. It also supports batch testing and API access , and the screening step can be directly embedded into the existing process.
After this processing, the data is already sorted before use, reducing intermediate links and avoiding repeated screening.
Put the screen number in front, it will be smoother later.
After the multi-platform screening step is stabilized, subsequent use will become much simpler. Data no longer needs to be verified repeatedly, nor does it need to be sifted as it is used.
The core change is not to do more, but to do less ineffective actions. The same batch of data can be screened once and clear results can be obtained directly, and the overall rhythm will be easier to control.
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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