Batch identification of invalid mobile phone numbers, how to filter out abnormal numbers and unavailable data from a large number of international numbers

To identify invalid mobile phone numbers in batches, what we really need to deal with is not justThe situation of "empty number". Duplicate numbers, missing international area codes, format errors, and obviously abnormal data will affect the subsequent screening of social platforms such as WhatsApp, Telegram, and LINE.

If you need to process tens of thousands or hundreds of thousands of international mobile phone numbers at a time, a more practical order is to do basic cleaning of the numbers first, separate out the obviously problematic data, and then enter the specific social platform for testing. This can not only reduce repeated processing, but also make the subsequent customer list cleaner.

What kind of mobile phone numbers need to be screened for invalid data first?

Facing different businessesThe understanding of "invalid mobile phone number" may not be exactly the same, but when actually organizing data, the most common situations are relatively fixed.

Some numbers themselves can no longer be used, some number formats are obviously wrong, and some data are just the same mobile phone number repeated many times.

In addition, international numbers often encounter problems such as missing country codes, failure to convert local formats, and abnormal number digits.

If these numbers are directly entered into the next step, whether it is social account screening or customer marketing, a lot of unnecessary processing will be added.

Therefore, identifying invalid mobile phone numbers in batches is more like doing a basic cleaning for the subsequent number screening process.

Although duplicate numbers are not empty, they should be cleared in advance.

Duplicate data is a very common problem in large batches of numbers.

The same customer may have left their mobile phone number from multiple portals such as advertisements, websites, customer service, and event pages. After merging several files, it is not surprising for a number to appear two or three times.

If you don’t remove the weight, do it later.When detected by WhatsApp, Telegram or other platforms, the same number may be processed repeatedly.

After entering marketing, the same customer may be contacted repeatedly.

Therefore, the first step in number cleaning is often not to identify empty numbers, but to deal with duplicates first.

This not only reduces the amount of detection, but also makes subsequent customer data easier to manage.

The most common problems with international numbers are the area code and format.

When dealing with overseas mobile phone numbers, the formatting issues are much more complicated than with domestic numbers.

Different countries have different country codes and different ways of writing local numbers. Some files are already in complete international formats, some only have local mobile phone numbers, and some data have the country code and number split into two columns.

If data from several countries are merged directly, format confusion may easily occur.

For example, if the local number originally belonging to a certain country does not complete the international dial code, it will be difficult to continue screening according to unified rules later.

Therefore, before identifying invalid numbers in batches, you can first sort out the country information and international area codes to keep the numbers at least in a unified format.

Excel may also turn normal numbers into abnormal data

Many numbering problems are not errors in the original data, but arise when organizing files.

Enter long mobile phone numberIn the future, Excel may automatically display scientific notation; the numbers in front of some numbers may also change due to cell format.

If there is no re-checking after exporting, the originally normal data will be brought into the next round of testing.

Therefore, when there are a large number of files, it is best to check whether the original numbers have been modified by the spreadsheet software before formal screening.

Especially when merging hundreds of thousands of numbers, this step is easily overlooked.

First clean up the basics of the numbers, and then enter the social platform screening

Digital Planet can be used for international number-related detection and subsequent social platform account screening.

In the number sorting stage, duplicate data, obvious format anomalies, and number status that require further confirmation can be processed first, and then the process can be entered based on the actual business.Filter by corresponding platforms such as WhatsApp, Telegram, LINE, and Zalo.

The advantage of this is that social account detection faces a piece of data that has been sorted, rather than a large number of original files with formatting errors and duplicate numbers mixed together.

If you need to check laterIf WhatsApp is activated, continue to do WhatsApp screening; if you need to sort out Telegram clients, go to TG account detection.

Divide the number basics and social account status into two steps, and the whole process will be much clearer.

Invalid mobile phone number and"Not registered on a social platform" is not the same thing

It's easy to get confused about this.

A number is not activatedWhatsApp does not mean that the mobile phone number is invalid.

Again, noTelegram, LINE or Zalo accounts can only mean that the activation status has not been detected on the corresponding platform, and the number cannot be directly classified as an unavailable mobile phone number.

Whether the mobile phone number is normal or not is a problem with the number itself.

Have you registered?WhatsApp, Telegram, etc., belong to social platform account status.

Therefore, when organizing data, it is best to save these two types of results separately, and do not delete numbers directly just because you do not have a platform account.

After cleaning is completed, you can continue to screen according to the actual channels.

After the basic arrangement of numbers is completed, the next step is to continue segmenting according to marketing channels.

If the main thing is to doFor WhatsApp customer development, enter the sorted numbers into WhatsApp for activation and testing; if you mainly do Telegram marketing, confirm which numbers have the basis of a TG account.

Do Japan, Thailand, etc.In the LINE market, you can continue to enter LINE related screening; Vietnamese customers can do Zalo testing according to business needs.

Such an original international number database can be gradually organized into data that can be used by different channels, instead of all information being mixed into the same file at once.

Before reactivating historical numbers, it is also suitable to do a basic cleaning first

Many historical customer numbers have been stored for a year or more, and may have been imported, merged, and re-exported multiple times.

When such data is used again, it is often more prone to duplication and formatting problems than new data.

Therefore, before historical numbers are ready to be re-entered into marketing, you can first redo duplication, format check and number status sorting, and then enter the target social platform for detection.

This can not only reduce the miscellaneous items in the old data, but also avoid directly using the sorting results from a long time ago.

The greater the batch number, the more cleaning needs to be put first

There are dozens of abnormal data among hundreds of numbers, which can be manually checked slowly.

But if there are hundreds of thousands of international mobile phone numbers, even if only a small part has format errors, duplications or abnormalities, it will accumulate to produce a large amount of invalid processing.

Therefore, when actually identifying invalid mobile phone numbers in batches, don’t just focus on"How many numbers are filtered out?"

What’s more important is to sort out basic issues such as duplication, area code, format, and abnormal status first, and then enter subsequent social platform screening through Digital Planet.

The underlying data of the number must be cleaned first, so that subsequent account detection, customer classification and marketing lists will be easier to use in the long term.

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