By removing duplicate numbers before filtering, you can avoid a lot of repeated testing.

When screening overseas numbers, many people start testing directly as soon as they get the data.Status on WhatsApp, Telegram, LINE or other platforms. After running through it, I discovered that there were a large number of duplicate numbers in the original form. The same customer may appear in different forms, or may be treated as two or even three pieces of data by the system due to format differences such as country code, spaces, and horizontal lines. The higher the number, the easier it is to miss this repetition. The correct sequence is actually very simple: first organize the format, then remove duplicate numbers, then enter the platform for detection, and finally classify according to country, channel and customer source. If the previous data is not cleaned, no matter how much filtering is done later, time and detection volume will be repeatedly consumed.

Why is it best to remove duplicates before filtering numbers?

To give a very intuitive example, a table contains100,000 international numbers may seem like a large amount of data, but after true duplication is removed, only more than 70,000 may be left. If you directly take 100,000 WhatsApp numbers for detection, it is equivalent to re-detecting 20,000 to 30,000 duplicate data.

If you want to continue doing it laterTelegram activation detection, LINE user screening, multi-platform number detection, the amount of duplication will continue to be amplified.

If the same number is detected once or three times, the result will not become more accurate as the number increases, but will only increase unnecessary data processing.

Therefore, deduplication before number screening does not add an extra step, but helps reduce duplication of work in all subsequent detection steps.

Especially for the customer database accumulated by the company over a long period of time, official website inquiries, advertising forms, event registrations, order customers, and historical inquiries are often mixed together. It is very normal for a user to appear repeatedly. If you don’t clean up first, it will be difficult to know how many unique customers you have in the end.

Some duplicate numbers don't look exactly the same

The most common pitfall of number deduplication is deleting only identical data.

There are many formats for saving international numbers.

For example, for the same U.S. mobile phone number, some tables save the complete international area code, and some use local writing; some data have spaces in the middle, and some have parentheses or horizontal lines; some systems will automatically add country codes when exporting, but another system will not.

In this way, what looks like two different numbers to the naked eye may actually belong to the same person.

Therefore, before deduplicating batch numbers, it is best to unify the number format first.

Complete the country area code, clean up unnecessary spaces and symbols, and then organize it according to different country code rules. After the format is unified and repeated testing is performed, the results will be much clearer.

If the format is not even unified, just clickDeleting duplicate values ​​in Excel can only solve some of the most obvious duplications, and cannot truly complete the deduplication of international numbers.

Different batches of data are more likely to be duplicated

Enterprise data is usually not obtained all at once.

Run a batch todayFor Facebook ads, there will be a TikTok form tomorrow, and the official website inquiries will be exported at the end of the month, and historical customers will be sorted out after a while. Each batch of data may not have much repetition when viewed individually, but after several months of data are put together, the same user can easily appear repeatedly.

For example, a customer filled in his mobile phone number through an advertisement for the first time, then entered the official website to inquire about prices, and participated in an event six months later. If a separate table is created for each channel, this number may be saved three times.

If each batch of data enters number screening directly, this user will also be detected three times.

Even more troubling is that sales may be contacted repeatedly as a result.

Salesman A got the advertising list and contacted him once. Salesman B got the same number from the official website list a few weeks later and contacted him again. Customers will feel that internal management is chaotic and sales time is wasted.

Therefore, when deduplicating numbers, you cannot just look at a singleExcel, and try to compare it with the historical customer database.

The truly valuable deduplication is to determine how many of the newly added data are truly new numbers.

Deduplication is not about deleting duplicate customer information altogether.

This step is also very important.

Just because the same number appears multiple times does not mean that other information is of no value.

The first record may state that the source isFor TikTok ads, the second record contains the product that the customer inquired about, and the third record already has sales notes. If you simply leave the first one and delete all the following ones, the customer information will be reduced.

A more reasonable approach is to keep only one copy of the number, but merge the valid information from different sources.

For example, where did the retained customers first come in, what they consulted later, when was the last contact, whether there was a transaction, and which salesperson was responsible.

After doing this, although the customer table will be shorter, each piece of data will be more complete.

The purpose of deduplicating numbers is not to reduce the number of data, but to prevent the same customer from appearing repeatedly while retaining truly useful information.

Remove duplicates first, and then filter by platform. The order will be clearer.

Assume that the original data has80,000.

The first step is to unify the international number format and deal with obviously erroneous data.

The second step is to remove duplicate batch numbers, and finally the remaining60,000 unique numbers.

The third step is to do it according to business needs.WhatsApp activation detection, Telegram number screening, LINE activation detection or other social platform screening.

At this time, the back60,000 items are the data that really need to be processed.

if among themIf 30,000 people have opened WhatsApp, they will form a separate WhatsApp customer list; among them, 15,000 people have opened Telegram and can be divided into Telegram user groups according to their sources. When you need to filter users on multiple platforms, you can also continue to check which platforms a number has the basis for communication.

The whole process will be faster than the firstIt is much easier to detect all 80,000 items once and then come back to clear the duplicate data.

Digital Planet is more suitable to continue screening after deduplication.

After the company has sorted out the international number format and completed the basic number deduplication, it can continue to conduct subsequent screening through Digital Planet.

For example doWhen acquiring overseas customers, WhatsApp can conduct WhatsApp activation testing on cleaned numbers; when developing Telegram customers, it can screen numbers that have already opened Telegram; for markets such as Japan and Taiwan, it can also continue to conduct LINE-related screening based on actual business needs.

If a group of customers come from multiple countries at the same time, they can also be combined with country classification to process data from different markets separately.

Digital Planet is more like a data screening tool in the second half of this process. The overall processing efficiency will be higher if we first remove duplicate data and then perform platform detection on truly independent numbers later.

Especially when the amount of data is relatively large, 20 to 30% of duplicate numbers will be reduced first, and each subsequent detection will directly process less data.

After removing duplicates, the number of customers becomes more real.

Many people saw itAfter deduplication of 100,000 pieces of data, only 70,000 pieces remain, which means that customer resources will be reduced.

In fact, what really reduces is the amount of false data.

ifThe 30,000 records were originally duplicate records, so they did not represent 30,000 new customers from the beginning. Continuing to leave them in the customer database will only make the data look more beautiful, but will allow sales to misjudge the actual customer size.

After removing duplicates, it will be easier for companies to see clearly how many new customers they have added each month.

For example, this month’s collectionThere are 20,000 numbers. After comparing with the historical database, it was found that 8,000 of them already existed before, so only 12,000 were actually added.

This number is higher than simply saying that we will get more money this month20,000 clues are more valuable for reference.

In the future, it will be much more accurate to judge advertising effectiveness, customer growth and sales workload.

After removing duplicate numbers, we still need to continue classifying customers.

Number deduplication is only the first half of data cleaning.

For a list that can really be used by sales, it is best to continue to add country, customer source, target platform, product direction and follow-up status.

For example, it has also been openedWhatsApp numbers can be further divided into different lists such as US official website inquiries, French advertisers, and German historical clients.

The same goes for Telegram users, who can distinguish between advertising leads, active users, old customers and proactive inquiry customers.

In this way, after the salesperson sees the form, he does not need to guess who the customer is again, nor does he need to check the source from the beginning every time.

The platform detects and resolves contact information, and customer classification resolves how to chat later.

Combining the two things, number screening can really have a relationship with overseas customer acquisition.

A more trouble-free number filtering sequence

If you often deal with overseas numbers, you can directly follow this order:

First, unify the international number format and deal with the country area code and obvious format issues;

Then perform number deduplication, including duplication between the current batch and historical data;

Then hand over the cleaned number to Digital Planet and do it according to business needs.Screening on WhatsApp, Telegram, LINE and other platforms;

After the screening is completed, they are then classified according to country, customer source and product direction;

Finally, it is handed over to sales for follow-up, and the results of responses, inquiries, transactions, etc. are re-recorded back to the customer database.

In this way, when the next batch of data comes in, it can continue to be compared with the original database, instead of starting from a new one every time.Excel starts again.

Removing duplicates before screening numbers may seem like just one more step, but it will actually make every subsequent step easier. With fewer duplicate numbers, test volume goes down, sales duplication contacts are reduced, and customer numbers look more realistic.

Sort out the numbers first, and then determine which platform you have opened. If the order is done correctly, number filtering can really save time and make it easier to filter out data that can be used further.

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