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17

2026-04

Recently, platform rules have changed frequently. Should the screening dimension be expanded from registration to activity and risk?

In the current cross-border marketing environment, the frequency of changes in platform rules has accelerated significantly. From account risk control to access restrictions to data compliance requirements, many originally stable delivery methods are gradually becoming ineffective. In this context, it is difficult to support stable customer acquisition and conversion by solely relying on registration status for screening.

16

2026-04

How to screen users over 25 years old? Can e-commerce and social products use the same set of data?

In the user screening process, people over the age of 25 are often analyzed separately. The reason is that this age group usually has more stable spending power and clearer usage habits. But in practical applications, a common misunderstanding is: using the same batch of data for both e-commerce and social products.

16

2026-04

There are many Telegram group members but they don’t speak. Can the active screening be solved in advance?

In Telegram community operations, a common phenomenon is that the number of people in the group continues to grow, but the number of interactions becomes less and less. On the surface, the group size is expanding, but the actual proportion of effective users is declining. This situation is not a content problem, but often due to deviations in the data structure imported earlier.

16

2026-04

Recently, the number of WhatsApp accounts has increased abnormally. Should data cleaning start with empty accounts or banned accounts?

In the process of using WhatsApp data, the increase in the proportion of abnormal accounts has become an obvious trend. The data not only contains unactivated empty accounts, but also mixed with banned accounts, abnormal accounts, and low-quality accounts. If not cleaned, this data will directly affect the reach effect and even cause risks to the sending account.

16

2026-04

When real Twitter followers and robot accounts are mixed together, how to clear out the invalid traffic first?

In the process of using Twitter data, a typical problem is the distortion of the follower structure. On the surface, the number of fans is growing, but the interaction rate continues to decline. This situation is often not a content problem, but a data quality problem. Mixing real fans and robot accounts will directly affect data judgment and subsequent promotion results.

16

2026-04

Is LinkedIn email verification too slow now? Is API filtering more suitable for batch scenarios?

In LinkedIn business development, email is always a core contact method. However, as the scale of data expands and the pace of development accelerates, the traditional email verification method begins to expose obvious problems, the most direct of which is insufficient efficiency.

16

2026-04

Device identification, age stratification, and gender tags are becoming new combinations for global number screening

In the number screening system, single-dimensional judgment has become increasingly difficult to meet actual needs. A common approach in the past was to only determine whether to register or only look at a certain tag. However, after the data scale increases, this method is prone to deviation.

16

2026-04

When GOK single brands do IG promotions, they are less and less directly eating the traffic, and more of them are screening images first.

In the Instagram delivery system, Gawker’s single-brand strategy is undergoing significant changes. Compared with the past, which relied on interest tags to directly cover the market traffic, now more emphasis is placed on completing user portrait screening before launching. The core logic is simple: high-customer single products have higher requirements for crowd matching. Once the crowd deviates, no matter how large the traffic is, it will be difficult to form effective conversions.

15

2026-04

Where to find Thai Line male users? How to detect numbers over 35 years old?

In the Thai market, Line is not only a communication tool, but also an important entrance to daily social interactions. Compared with general user traffic, male users over 35 years old are more valuable in some industries, such as local services, financial services, and high-customer consumption scenarios. This type of people often make more direct decisions, but only if they can be accurately identified.

15

2026-04

How to screen Line users? Are Japanese female users over 25 years old easier to convert?

When doing line promotion in the Japanese market, crowd structure is often more critical than the placement of materials. Especially in local life and consumption scenarios, people of different ages and genders have obvious differences in how they accept content and their conversion paths. The reason why female users over 25 years old are frequently mentioned is that this group of people shows more stable consumption behavior in multiple industries.

15

2026-04

Can WhatsApp users be screened for online users on the same day? Check these dimensions before promoting

In WhatsApp promotion, the concept of "users online on the same day" is getting more and more attention. Compared with registered users, or even compared with ordinary active users, being online on the same day is closer to the real "immediate reachability state", that is, the messages you send are more likely to be seen immediately.

15

2026-04

Where to find male IG users? How to detect single users who are over 35 years old more accurately?

In Instagram’s user structure, male users have long been underestimated, especially those over 35 years old. In some industries, such users tend to have higher unit prices and more stable decision-making logic, but they are also more difficult to screen and reach.

15

2026-04

How to screen female Instagram users, and how to vote for beauty makeup users who are over 25 years old

In the beauty category of Instagram, the impact of crowd structure on the effect is significantly greater than the material itself. Especially in the context of continuous rise in traffic costs, if the crowd screening is not accurate, even if the content is of high quality, it will be difficult to obtain stable conversions.

13

2026-04

Why cross-border marketing pays more and more attention to user identification and crowd filtering

The cross-border marketing environment is gradually shifting from "traffic-driven" to "data-driven". As traffic costs continue to rise and platform rules continue to tighten, it is difficult to achieve stable results simply by expanding the reach. On the contrary, user identification and crowd filtering have begun to become key links to improve efficiency and control costs.

10

2026-04

Multi-platform number deduplication solution: How to identify the same user uniformly when they are scattered on different platforms

When operating on multiple platforms, a problem that is easily overlooked but has a great impact is: the same user may exist on multiple platforms such as WhatsApp, Telegram, and LINE at the same time, but is treated as a different person in the system. Once this situation expands, it will directly lead to repeated contacts, waste of resources and even user disgust.

27

2026-02

Which WhatsApp batch screening tool is the best? Compare cases of efficiency changes after actual measurement

In practical applications, the differences in screening tools are mainly reflected in three aspects: detection dimensions, processing speed and data output structure.

24

2025-11

Do I need to check my account number before doing cross-border marketing? Failure to clean empty numbers will directly affect the delivery rate

If you don't clean up empty accounts, your marketing actions will be "semi-wasted" from the first step. This article will explain from a practical perspective why directory verification is necessary before cross-border marketing, and how to use Digital Planet to automate and batch this step.

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