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14

2026-05

What to look for when verifying account activity: activity detection, online behavior and long-term user identification ideas

In the past year, more and more teams have begun to use "activity" separately for screening. In the past, after many projects obtained data, the first thing they usually did was to check whether they were registered, whether they had avatars, and whether they could send messages. But now more and more people are discovering that just knowing that an account exists has increasingly limited meaning. Because although many numbers and accounts are still there, users may no longer use them.

12

2026-05

Telegram AI summary is becoming popular. Why should we run active screening before channel traffic?

An obvious change in Telegram recently is that there are more and more AI summary channels. Especially in encryption, information, technology, cross-border and overseas community scenarios, a large number of channels have begun to use AI to automatically organize content, refine key points, and generate summaries in batches. The reason is simple: there is more and more information, and users no longer have the patience to read long content every day.

06

2026-05

How to screen high-quality IG users, look at avatar, region, age, and interaction tags together

There are more and more users on IG, but the proportion of truly valuable users has not increased simultaneously. The data of likes, views, and followings seems very lively, but there are not necessarily many people who can actually enter the private chat and convert.

22

2026-04

How to identify WhatsApp risk accounts, clear high-risk accounts before mass marketing

In WhatsApp batch marketing, an increasingly obvious change is that many teams have begun to put risk number identification at the forefront, instead of doing it at the end as before. The reason is simple. The problems caused by high-risk accounts are not just poor conversions, but also affect the stability of the entire marketing process. If this part of the data is not cleaned up first in the screening stage, the results will be biased whether it is active user screening or crowd label stratification.

22

2026-04

What should you screen first when doing WhatsApp promotion? Suggested order of opening status/active status/risk status

In WhatsApp promotion, many people will do number screening, but what really makes the difference is often not whether there is screening, but the order of screening. Almost all teams will use these three dimensions: activation status, active status, and risk status. However, if the order is wrong, the quality of the filtered data will be obviously different. It seems to be just a process issue, but in fact it directly affects subsequent reach efficiency, response rate and overall conversion performance.

22

2026-04

Highly active accounts do not necessarily have high value. This misunderstanding is very common in WhatsApp account screening.

In WhatsApp user screening, screening of highly active users has always been one of the core actions. Many teams default to using highly active accounts as high-quality users. However, after actually running the data, we will find a problem. Highly active accounts are indeed easier to reach, but they are not necessarily easier to convert. In some scenarios, highly active users will actually lower the overall conversion rate.

21

2026-04

Why Telegram account screening is becoming more and more detailed, and the mix of real and fake users leads to rising traffic costs

People who work on Telegram traffic have clearly experienced a change in the past two years: it is not that the traffic has suddenly decreased, but that with the same amount of data, the proportion of truly valuable users is declining. On the surface, it seems that the number of group members is quite large and the size of the number pool is not small, but the traffic drainage effect is becoming increasingly unstable. Many times the reason is not at the traffic entrance, but at the data itself. There is a mix of real and fake users, a mix of abnormal accounts, and an increase in the proportion of low-active users. When these problems are superimposed, the cost of attracting traffic will be directly pushed up.

20

2026-04

How to make Telegram account activity detection more accurate recently? Should the 3-day and 7-day standards be separated?

Activity detection has always been important in Telegram user screening, but recently the focus of discussion has changed from whether to do activity detection to how to make activity detection more accurate. In particular, whether Telegram’s 3-day active users and 7-day active users should be screened separately has been discussed more and more recently.

17

2026-04

When doing cross-border advertising, what is more worthy of screening recently are high-active users or high-quality equipment users

In cross-border advertising, an increasingly common disagreement is whether to prioritize high-active users or high-quality equipment users. Both approaches have their supporters, and the results vary significantly in different projects.

17

2026-03

Practical guide for batch Telegram number screening: Create a high-conversion traffic pool from 0 to 1 (with complete process)

In the current global marketing environment, Telegram has become an important customer acquisition channel for more and more cross-border practitioners due to its high degree of freedom, high reach rate and strong private domain attributes. Compared with traditional platforms, Telegram is more suitable for accumulating users and building long-term relationships, but the premise is that you must have a batch of real and active user data. Batch Telegram number screening is the core means to achieve this goal. It not only determines the traffic quality, but also directly affects the subsequent conversion effect.

10

2026-02

How to find Telegram accounts with high activity? Accurately prioritize customers based on online frequency and interaction trajectories

With the help of the Digital Planet platform, you can batch detect the online frequency, usage trajectory and interaction tendency of Telegram accounts in 244 countries around the world, accurately prioritize customers, and achieve high-quality operations.

09

2026-02

WhatsApp Global Marketing Practical Guide: How to batch screen highly active users and convert them quickly?

The Digital Planet platform has now opened the function of WhatsApp account detection and activity identification in 244 countries around the world, and supports batch upload, customer label export, and system docking. Welcome to contact customer service to get a free trial and start a truly controllable, transformable, and sustainable global private marketing road.

29

2026-01

Telegram's highly active user conversion logic: detecting registration status/filtering available accounts/tagged management model

This article will in-depth dismantle the complete logic of how to identify, filter and label high-active Telegram users, and combine it with the Digital Planet platform tools to build a reusable high-active conversion model to help you achieve an efficiency jump from attracting traffic to closing transactions.

05

2026-01

How to determine the hot or cold status of a Facebook account? Required testing steps before launch

This article will focus on the identification logic, judgment method and practical process of the hot and cold status of Facebook accounts, which is especially suitable for brand operators, independent website pitchers, and cross-border social advertising traders.

12

2025-11

A new method for generating accurate labels for hot numbers: from active tracks to behavioral stratification

This article will focus on the most common questions asked by users and explain clearly: What are the criteria for judging hot numbers? How do behavioral trajectories form labels? What is the difference between the new method and the old detection logic? And how to use API interfaces to achieve batch stratification and precise access.

12

2025-11

The highly active user identification system adds a new behavioral analysis dimension to support more subdivided screening logic.

The complexity of user active behavior determines that the identification system must be more intelligent - it can understand an account's behavior rhythm, preference pattern and usage depth on social platforms, so that it can truly have high activity screening value.

05

2025-05

Highly active users are more suitable for WhatsApp group messaging. Use tag filtering to quickly find the target group.

As a commonly used private domain contact method for enterprises, WhatsApp mass messaging has low cost and fast response. However, many operators have found that the conversion effect is getting worse and worse, and the account ban rate has increased. The reason is actually very simple: the recipients of mass messaging have not been screened. A large number of unregistered users, low-active users, and even empty accounts are mixed together, resulting in white content and account restrictions. To make WhatsApp mass messaging truly efficient, you must use "tag filtering" to determine in advance which numbers have been opened through WhatsApp and which are highly active users, and then group them for precise contact. This article will combine the functions of the Digital Planet number screening and detection platform to introduce how to batch screen out high-quality users and improve the mass messaging hit rate and conversion rate.

28

2025-04

Quickly clean Facebook friend data and screen out high-quality users

When doing social marketing, personal account maintenance, or fission growth plans, having a large amount of Facebook friend data does not mean having effective resources. A lot of raw data contains empty accounts, deactivated accounts, and low active users. If these invalid data are not cleaned up in time, it will not only waste the opportunity to add friends, but also reduce the overall operational effect. This article will explain how to quickly clean up Facebook friend data and screen out truly high-quality user resources through digital planet number screening and detection.

28

2025-04

Guide to screening data for adding friends on Facebook: Improve the pass rate of adding friends

When conducting social marketing, personal account maintenance or fission growth, many people need to use Facebook friend data. However, in the face of massive mobile phone numbers and user information, how to effectively screen and accurately find active and real target friends has become a key issue affecting the success rate of adding friends. This article will share a complete set of data screening methods for adding friends on Facebook, and introduce how to use the digital planet number screening and detection function to quickly increase the success rate of adding friends.

28

2025-04

How to get Facebook friend data? Batch screening of highly active users

When doing social marketing, account maintenance operations, or batch adding friends tasks, Facebook friend adding data has become an indispensable basic resource. But in reality, many users face problems such as scattered data, low activity, and low success rate of adding followers. So, how to obtain Facebook friend data? How to screen out truly active and high-quality target users? This article will break down the acquisition channels and screening methods in detail, and introduce how to use the digital planet number screening and detection function to improve data quality in batches.

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