WhatsApp mass messaging empty account detection solution: How to reduce account management risks

​做WhatsApp运营的人,多少都遇到过这样的情况:整理了几万条客户号码,花了不少时间分类,结果真正开始使用的时候才发现,里面有不少历史数据、重复数据,甚至很多号码信息已经很久没有更新。

DoAnyone who operates WhatsApp has encountered this situation: they sorted out tens of thousands of customer numbers and spent a lot of time classifying them. However, when they actually started using it, they discovered that there was a lot of historical data, duplicate data, and even a lot of number information that had not been updated for a long time.

The more data there is, the more obvious this is.

Many teams think that the problem lies in insufficient customer resources. In fact, many times the problem is that the database is too messy. If done well in advanceDetecting empty WhatsApp numbers and sorting out number data will make subsequent customer management tasks much easier.

This is why more and more companies are beginning to pay attention toWhatsApp empty number screening, WhatsApp number detection and customer data management.

Why are historical number data prone to problems?

Enterprise customer resources generally do not come from just one place.

Information from website registration, exhibition activities, old customer introductions, social platform accumulation, and marketing promotions will all be summarized into a database over time.

The problem is, the database doesn't update itself.

Some customers have not been contacted for several years, some number information has changed, and some data has been duplicated during multiple import processes.

When the amount of data is small at the beginning, it is not obvious. Once the amount of data accumulates to tens of thousands or even hundreds of thousands, the management difficulty will increase.

Therefore, many companies will organize their customer databases every once in a while.

What exactly does WhatsApp empty account detection do?

Many people come into contact with each other for the first timeIf you check the WhatsApp number, you will feel that it is just a simple check to see if there is any problem with the number.

In fact, it's more like a data wrangling exercise.

Through number detection, it can help enterprises understand the general situation of existing databases and classify data in different states to facilitate subsequent management.

For the operations team, the clearer the database, the easier it will be to find customers, organize information and update information.

From a data management perspective, empty number filtering is only part of the maintenance of the entire customer database.

Why data needs to be organized in advance

Many teams like to accumulate data first and then sort it out slowly.

As a result, there is more and more data, and the work of sorting it is becoming more and more complex.

For example, if the same customer leaves several pieces of information, or the same number is imported through different channels, if it is not processed in time, the database will soon become chaotic.

Screening data in advance can reduce duplication of work later.

Many mature companies have fixed data sorting processes. After new resources are imported, they are classified first and then the database is updated, instead of mixing them all together.

If you persist for a long time, customer information will become more and more standardized.

What should a good database look like?

Many people think that the bigger the database, the better.

In fact, the truly valuable database is not the one with the most data, but the convenience of management.

For example, customer information is easy to find.

Customers from different regions can be quickly classified.

Historical customers and new customers can be clearly distinguished.

Data updates are recorded.

Team members can quickly find the information they need.

With such a database, subsequent customer maintenance and market analysis will be much more efficient.

Why companies are paying more and more attention to data quality

In the past, many companies paid more attention to the quantity of data.

Add 10,000 pieces of customer information today and 20,000 pieces tomorrow. It seems that the resources are becoming more and more abundant.

But when you actually start using it, you will find that quality is much more important than quantity.

One hundred thousand pieces of well-organized data are often worth more than two hundred thousand pieces of messy data.

Because the team spends less time organizing information, they can focus more on customer service and business development.

Therefore, customer data cleaning, number screening and database optimization are becoming daily tasks for many companies.

How to set up your own number management process

Data management in many enterprises is not complicated. The key is to develop habits.

After new data enters the database, the format must be unified first.

Classify according to region or business direction.

Regularly check historical data and reorganize information that has not been updated for a long time.

Create customer tags to facilitate subsequent inquiries.

Make a good data backup to avoid data loss.

It may seem like just a few small details, but if you stick to it for a long time, the quality of the database will become higher and higher.

For companies with a large number of customer resources, this management method can save a lot of time.

How Digital Planet helps enterprises organize number resources

The biggest problem for many companies is not that they don’t have data, but that they don’t know the quality of the existing data.

Therefore, many teams will first register for free through Digital Planet to do a basic sorting and health check of their customer database.

The Digital Planet data quality management module can help enterprises understand the overall structure of the database, classify and organize number resources, and make the originally scattered data clearer.

After experiencing it, many teams discovered that they had accumulated quite a lot of customer resources, but they lacked unified organization in the past.

On the surface, it seems to be optimizing the number database, but in fact it is improving the data management efficiency of the entire team.

Data management capabilities will become increasingly important

As enterprise customer resources continue to increase, the importance of data management will become increasingly apparent.

EitherWhatsApp empty number detection, WhatsApp number screening, customer database organization or data classification are all essentially to make customer resources easier to manage.

The gap between enterprises in the future is not necessarily who has more data, but who can manage the data more standardizedly.

For companies that have accumulated customer resources for a long time, regular database organization and number quality inspection not only maintains data, but also lays the foundation for subsequent business development.

Many times, a well-organized customer database is more valuable than constantly adding new data. Because the clearer the data, the more efficient the team will work, and the easier it will be for customer resources to exert real value.


digital planetis a world-leading number screening platform that combines Global mobile phone number segment selection, number generation, deduplication, comparison and other functions. It supports customers worldwideBatch numbers for 236 countriesScreening and testing services, currently supports40+ social and apps like:

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The platform has several features including Open filtering, active filtering, interactive filtering, gender filtering, avatar filtering, age filtering, online filtering, precise filtering, duration filtering, power-on filtering, empty number filtering, mobile phone device filteringwait.

Platform provides Self-screening mode, generation screening mode, fine screening mode and customized mode, to meet the needs of different users.

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