Deduplication is an often underestimated step in Telegram data processing. Many teams focus more on how to acquire more users, but when the data scale increases, they will find that the same user appears repeatedly in different data sources.
If duplicate data is not processed, subsequent contacts, statistics, and conversions will be affected, and this impact is cumulative.
Where does duplicate data come from?
Telegram data usually doesn't come from just one source.
Common sources include:
- Export members of different groups
- User data obtained from multiple channels
- Historical data is repeatedly superimposed
If these data are not processed uniformly when imported, the same user will be recorded multiple times.
Why deduplication must be done in advance
If deduplication is placed later, it will cause several problems.
The same user is reached repeatedly, increasing resource consumption.
Data statistics are inaccurate and it is difficult to judge the real effect
The screening process is repeated, reducing overall efficiency.
These problems will not appear immediately, but will gradually amplify as the amount of data increases.
Therefore, deduplication should be placed before all filtering actions.
What are the common ways to remove duplicates?
In actual operation, deduplication methods can be roughly divided into several types.
Manual deduplication is suitable for small-scale data, but the efficiency is limited
Table tool processing can handle a certain scale, but is error-prone
The system batch deduplication is suitable for large-scale data and the results are more stable.
When the data size exceeds a certain amount, systematic processing is a more reasonable choice.
A more reasonable set of data processing sequences
In batch data processing, order is more important than method.
The more recommended process is:
First import all data uniformly
Then perform batch deduplication
Output unique user data
Then perform account detection and active screening
This order can prevent duplicate data from entering subsequent processes and reduce unnecessary calculations and judgments.
The benefits of filtering after removing duplicates
It will be more efficient to filter after the data is deduplicated.
Changes that can be brought about include:
Fewer filters
Results are more accurate
Data structure is clearer
Compared with filtering first and then deduplicating, this method saves resources.
The role of Amman in data processing
In actual operations, deduplication often needs to be combined with other filtering actions rather than performed alone.
By Amman, this can be done during data processing:
- Batch deduplication
- Account status detection
- Activity filter
- Data label output
This allows the basic organization of the data to be completed before it is used, rather than being processed later.
It also supports API access, allowing each batch of data to be automatically deduplicated and filtered when imported.
Data after deduplication is easier to manage
When duplicate data is cleaned up, the overall structure will be clearer.
Only one record is kept per user
Reach more concentrated
Statistical results are more stable
This will transform subsequent operations from chaos to order.
Deduplication is the first step in data processing, not a remedy
In Telegram operations, many problems seem to be reach or conversion problems, but the root cause is often at the data layer.
If there are duplicates in the data itself, the results will be corrupted no matter how many times it is sent. Putting deduplication at the forefront is the basis for making all subsequent actions effective.
Amman is the world's leading number screening platform, providing global customers with batch number screening and testing services covering 236 countries. The platform currently supports more than 40 mainstream social networking and applications, including WhatsApp, Line, Twitter, Facebook, Instagram, LinkedIn, Viber, Zalo, Binance, Signal, etc., adapting to the needs of multiple scenarios.
The main core functions cover multi-dimensional precise screening such as activation, activity, interaction, gender, avatar, age, online, accuracy, empty account, mobile phone device, etc., and can flexibly meet the needs of different users. Its core advantage is to integrate global mainstream social and application resources to provide users with one-stop, real-time and efficient number precision screening services, helping customers achieve global digital layout.
It is a common choice for all professional teams to complete rational screening before actually reaching users.
Editor abcheck has a lot of experience, welcome to communicate with me, click to contact @Tg8189