What can the number deduplication detection platform solve? After cleaning cross-batch customer data, it is more suitable for subsequent customer acquisition.

The longer you work in overseas markets, the more customer data you have. There are a batch of inquiries from the official website, a batch of advertising forms, a batch of exhibition lists, a batch of historical orders, and a batch in the customer service system. It is easy to accumulate hundreds of thousands of international numbers in a few years. The problem is that as the data becomes more and more, the same customer may be saved more and more times: once leaving a local number, once leaving a number with an international area code, once submitting through an advertisement, and once consulting on the official website. On the surface it may appear that the customer base is growing, but in fact there may be a large number of duplicate numbers, old numbers and duplicate contacts. What the number deduplication detection platform really wants to solve is to first remove theseThe "seemingly a lot" data is sorted out, and then overseas number detection, WhatsApp screening, Telegram user screening and sales follow-up are built on a more accurate list.

This type of work can easily be underestimated. Many people think that removing duplicate numbers meansExcel clicks "Delete Duplicate Values", but the actual cleansing of cross-batch customer data is far from that simple. When the same mobile phone number is saved in different formats, Excel may not be able to recognize it at all; the same customer cannot simply delete any of the information left on different channels. The truly valuable number deduplication is to reduce duplicate records while retaining as complete customer source, consultation content and historical communication information as possible.

Before deduplication, why did the customer list keep getting bigger and bigger?"virtual"

Assume that the company passes theTwenty thousand numbers were obtained from TikTok ads, 10,000 numbers were obtained through the official website, and another 30,000 numbers were sorted out through exhibitions and historical inquiries. Combining these data directly, it seems that there are 60,000 overseas customer resources, but there are likely to be a lot of duplications.

The same customer may have viewed it firstTikTok advertised and submitted the form, and a few days later entered the independent website for consultation; I left my phone number when I participated in the exhibition, and then filled in the contact information again when purchasing half a year later. After saving in different departments, this person may appear three times or more in the system.

This will bring about a very direct problem: companies think that the number of customers has increased, but in fact it is just the same group of people appearing repeatedly in different channels.

Sales teams are even more affected.Sales A has already contacted a certain customer, but Sales B contacted him again because he got another batch of numbers; the user just rejected the marketing, but received a message from another salesperson a few days later; historical transaction customers may even be re-developed as unfamiliar customers. While customer experience has declined, it is also difficult for companies to determine the true number of overseas customers.

Therefore, the first level of value of number deduplication detection is to let the enterprise know how many numbers it has."different customers".

The same number does not necessarily look exactly the same

The most troublesome part of deduplicating batch numbers is that the duplicate data is not necessarily exactly the same.

For example, the same French number may be saved as aThe international number format of "+33" only records the French local format; the American number may have parentheses or may be directly connected together; some forms export numbers with spaces or dashes in the middle, and another system has automatically removed these symbols.

If you use ordinary duplicate value detection directly, these numbers will look different, but may actually belong to the same user.

Therefore, before deduplicating numbers, it is usually necessary to organize the international number format first. Remove unnecessary spaces and symbols, unify the country code, and then combine the country information filled in by the user to determine whether the numbers belong to the same piece of data. Standardize the format first so that the results of batch number deduplication will be more accurate.

This is why international number detection, number cleaning and number deduplication often need to be placed in the same data processing process, rather than doing each separately.

True deduplication is not about deleting duplicate records directly.

If you find that the same number appears three times, the easiest way is of course to leave one and delete two, but this may lose important information.

The first record may come fromThe Facebook ad records the time when the customer first came into contact with the company; the second one comes from the official website inquiry and records the products that the user is interested in; the third one may have already generated a quotation, and the salesperson has left a communication note.

If you keep just one of them, the customer's full path disappears.

A more reasonable way to deduplicate customer data is to merge the information behind duplicate numbers. Only one number should be kept, but information such as advertising source, official website consultation, product interest, historical quotation, and recent communication time should be concentrated into the same customer record as much as possible.

In this way, when sales see this customer again, they not only know"This is a valid number." We also know when the other party first contacted the company, what products they have seen, whether they have made inquiries, and who was in charge before.

The purpose of removing duplicate numbers is not toExcel makes it shorter, but makes customer information more complete.

Why cross-batch data needs to be unified and deduplicated

Many companies do not get all the data at once, but add a new batch every week, every month or even every day.

Import todayTikTok form, import Google advertising data tomorrow, and organize historical customers next month. If each batch is only internally deduplicated but not compared with the previous database, the same number will still continue to re-enter the customer database.

Therefore, a truly practical number deduplication detection platform needs to consider"Is there any duplication between new data and historical data?"

For example, 10,000 pieces of overseas marketing data were added this week. After internal deduplication, 9,000 pieces were left. After comparing with the historical customer database, it was found that 3,000 of them already existed, so there were only 6,000 new customers.

This number is very important for judging the effectiveness of customer acquisition.

Otherwise, the advertising department may say"There were 10,000 new leads this month," but the sales department found that many of them were people they had contacted before. The marketing data looks good, but the actual new customers are not that many.

After removing duplicates, it will be more cost-effective to do number detection again.

If there are 20,000 duplicate numbers in a piece of 100,000 pieces of original data, directly process all 100,000 pieces of data.WhatsApp number detection, Telegram activation detection or other international number detection means repeatedly processing a large amount of the same data.

A more reasonable sequence is to unify the format and complete number deduplication first, and then perform subsequent screening of the remaining independent numbers.

For example, if 100,000 numbers remain after number cleaning and deduplication, 70,000 numbers will remain.WhatsApp batch screening, Telegram user detection, and LINE number detection only need to process these 70,000 items. This not only saves data processing, but also makes the final exported list easier to manage.

Digital Planet can be used at this stage. The company first consolidates the overseas numbers from different batches, then uses Digital Planet to deduplicate the numbers and screen on related platforms, and detect them according to business needs.The opening status of social platforms such as WhatsApp, Telegram, and LINE.

If the target isWhen acquiring overseas customers of WhatsApp, you can continue to filter users who have already activated WhatsApp in the deduplicated data; if you plan to create a Telegram chat list, you can continue to filter numbers that have already activated Telegram. In this way, Digital Planet is not responsible for "deduplication" alone, but continues to process the deduplicated customer data into marketing lists that can be used by different platforms.

For enterprises, this process is more"Start marketing directly every time a batch of data comes in" is easier to manage in the long term.

Less data does not mean less customer resources

After cleaning the numbers, some teams will feel that they have lost 40,000 customer resources when they see that only 60,000 of the original 100,000 pieces of data are left.

In fact, quite the opposite.

If you delete duplicate numbers, abnormal formats, and data that can no longer be used, the reduction will only be"False data volumes", not actual customers. Sixty thousand data with clearer sources, more unified formats, and no large-scale duplication of data are easier to use for overseas customer development than 100,000 confusing numbers.

Sales do not need to add the same person repeatedly, customer service will not easily follow up repeatedly, and the advertising department can more accurately determine how many new customers are actually added.

This is also an important logic in number quality testing: the value of data does not depend on how long the table is, but on how many pieces of information are truly independent, usable, and worthy of further judgment.

After the duplication is completed, customers still need to continue classifying

Number deduplication is not the end of data cleaning.

After removing duplicates, you can continue to classify by country, language, customer source, consulting products and sales status. American customers and French customers are separated, the official website inquiry and advertising forms are separated, and the data of transactions that have been completed and those that have never been contacted are also separated.

If you still need to communicate through social platforms later, you can continue to do so.WhatsApp user screening, Telegram number detection or LINE user detection. It is best to directly understand the data obtained by the final sales: who is this, where does it come from, what channel is suitable for contact, and whether there has been any follow-up before.

In this way, the number deduplication detection platform is truly relevant to subsequent customer acquisition.

Before cleaning, a dozenThere may be the same customer everywhere in Excel, and it is unclear who has been contacted and where they came from; after cleaning, try to keep only one complete record of each customer, and the source, platform status and follow-up status will be clearer. The amount of data may be less, but sales can actually use more customer resources.

Number deduplication really reduces not customers but duplication of work. First, sort out cross-batch overseas data, and then continue to do number detection and social platform screening through Digital Planet.WhatsApp customer acquisition, Telegram customer acquisition and overseas customer development are easier to achieve accurately.

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