How to clean duplicate numbers more efficiently? Sharing of practical experience in batch deduplication

Once the data scale expands, duplicate numbers are almost inevitable. Especially in the case of multi-channel collection, historical data merging, and cross-project sharing of resources, duplicate data will accumulate rapidly. On the surface, the amount of data seems to be growing, but in fact the proportion of usable data is declining. Duplicate numbers not only waste contact costs, but also cause frequency superposition, increasing complaints and risk control risks.

Cleaning duplicate numbers is not a simple deletion, but a set of sequential and regular batch processing processes. As long as the method is correct, the efficiency of deduplication can be significantly improved, and the risk of accidental deletion will be greatly reduced.

Why are there more and more duplicate numbers?

In practice, duplicate data usually comes from three directions. The first is that after multiple channels are collected, they are merged directly without unifying the format, causing the same number to be recognized as different data. The second is that historical data has not been maintained for a long time, and new and old data are superimposed. The third is that multiple people within the team are operating at the same time, and there is no unified database management.

If duplicate numbers are not cleaned regularly, the duplication ratio may increase month by month. Many teams don’t realize that the data pool has been duplicated until their reach rates drop significantly."pollute".

The format must be unified before deduplication

The first step in batch deduplication is not comparison, but format standardization. If there are spaces, horizontal lines, inconsistent area code writing, etc. in the number, even the same number may be judged as different data by the system.

It is recommended to complete the following arrangements before deduplication:

l Remove spaces and special symbols uniformly

l Unified international dialing code format

l Confirm that the digits are consistent

l Delete obviously abnormal data

After the format is unified and duplicates are removed, the accuracy will be significantly improved.

If the data scale is large, you can perform preliminary screening through Digital Planet to quickly identify abnormal formats or invalid data, and then enter the deduplication stage, which will be more efficient.

Correct order for batch deduplication

Many people are used to doing status detection first and then processing duplication, which will cause a waste of detection costs. A more reasonable order is to remove duplicates first and then detect.

The recommended order is as follows:

The first step is to unify the format.

The second step is to use the complete number as the only primary key to remove duplicates.

The third step is to keep the latest or most complete records.

The fourth step is to do status detection and activity identification.

Processing in this order can avoid duplicate numbers from being detected multiple times, saving time and costs.

How to avoid accidentally deleting a valid number

Accidental deletion usually occurs when deduplication rules are unclear. For example, only compare based on part of the number field, or ignore the differences between different data versions. To avoid accidental deletion, you can useThe principle of "retaining the latest collection time" is combined with the auxiliary fields for judgment.

After batch processing, it is recommended to review a small portion of the data randomly to confirm that the core number has not been deleted by mistake. The sampling ratio is controlled at5% to 10% can effectively reduce risks.

How to improve data structure quality after deduplication

Cleaning up duplicate numbers is only the first step, and the structure needs to be optimized later. After deduplication is completed, it is recommended to group the data and use high-quality numbers separately from edge numbers.

For example, it can be divided into:

core data group

Numbers that are stable after repeated cleaning.

Ordinary data group

Numbers with normal status but less history.

observation data group

Numbers with abnormal records.

Through grouping, you can avoid excessive consumption of core data and improve the overall reach rate.

Establish a fixed deduplication mechanism

Duplicate numbers will not disappear automatically. Without a set rhythm, problems will reoccur. It is recommended to perform basic deduplication once a month, perform deep cleaning once a quarter, and record changes in duplication ratios.

When the duplication ratio continues to decrease, it indicates that data source management is gradually standardized. If the repetition rate of a certain source is abnormally high, it should be optimized from the collection stage instead of repeatedly cleaning up afterwards.

Actual benefits from deduplication

After cleaning duplicate numbers, the most direct change is the increase in reach rate. Because operations are no longer repeated for the same user, the frequency is more reasonable. Costs will also come down and the statistics will be more realistic.

Duplicate data seems to be just a quantity issue, but it actually affects efficiency and stability. As long as the process is fixed, the sequence is correct, and the rules are clear, batch deduplication is not complicated. The cleaner the data, the easier subsequent growth operations will be. Really stable operations depend not on continuously expanding the data scale, but on continuously optimizing the data structure.

digital planet is 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:

whatsapp/line, twitter, facebook, Instagram, LinkedIn, Viber, zalo, binance, signal, skype, DISCORD, Amazon, Microsoft, Truemoney, Snapchat, kakao, Wish, GoogleVoice, Botim, MoMo, TikTok, GCash, Fantuan, Airbnb, Cash, VKontakte, Band, Mint, Paytm, VNPay, Moj, DHL, Okx, MasterCard, ICICBank, Byb Wait.

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 filtering wait.

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

Its advantage lies in integrating major social networking and applications around the world, providing one-stop, real-time and efficient number screening services to help you achieve global digital development.

You can find it on the official channelt.me/xingqiupro Get more information and verify the identity of business personnel through the official website. official businesstelegram:@xq966

(Kind tips:existWhen searching for Telegram’s official customer service number, be sure to look for the usernamexq966), you can also verify it through the official website: https://www.xingqiu.pro/check.html , confirm whether the business contact you is a planet official