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19

2026-08

Web3 mailbox detection, how to organize project user mailboxes to be more suitable for subsequent development

Web3 mailbox detection is more suitable for sorting out the basic quality of the mailbox, duplicate data, source tags and project behavior. Later, if the user actively leaves their mobile phone number, it will be decided whether to add communication channels such as Telegram and WhatsApp.

07

2026-08

Multi-platform user data screening, how should WhatsApp, Telegram, and LINE customers follow up by channel?

The role of Digital Planet in this scenario is not to screen a certain platform alone, but to help companies screen user data on multiple platforms.

10

2026-06

Inventory of iOS active number screening platform, overseas precision marketing increasingly relies on data capabilities

The real screening logic is more inclined to three directions. One is whether the data is valid, that is, whether the number can still be used normally; the second is whether the data is repeated, because data from many channels will be repeated and stacked; the third is whether the data matches the target user, that is, whether this customer is your potential customer.

21

2026-04

The marketing needs of users over 25 years old and those over 35 years old are different, so the screening stage should be separated.

In terms of user stratification, users over 25 years old and users over 35 years old were often put into the same category of mature users, but now this approach is becoming more and more problematic. Although these two age groups do not belong to young general traffic, the differences in consumption habits, information judgment, and access rhythm are actually very obvious. If the screening stage is not separated in advance, many subsequent marketing actions will often lead to situations where the crowd seems to be accurate, but the conversion is not stable.

17

2026-04

How to screen user data in 2026 so as not to fall behind, and how to match activity, gender, age, equipment, and authentication

In the current data environment, user filtering is no longer a simple conditional filtering, but a set of combination logic. With changes in platform rules, user behavior and delivery costs, single-dimensional screening methods gradually become ineffective and are replaced by multi-dimensional combined screening.

09

2026-04

From generating numbers to screening to testing, how can multiple platforms do it together?

When customer acquisition moves from a single channel to multiple platforms, many teams will encounter a practical problem: How can the same number be used on platforms such as WhatsApp, Telegram, and Line at the same time? If each platform performs a separate set of processes, it will not only be inefficient, but also difficult to manage data in a unified manner.

31

2026-03

When launching in North America, is there any conversion advantage in filtering iPhone user data?

When launching in the North American market, whether it is cross-border e-commerce, APP promotion or subscription products, device type has always been an important variable that has been repeatedly verified. Among them, iPhone user data is often considered to be a high-value group, but many people will have doubts in actual operations: Is it really easier to convert iOS users, or is it just a superficial understanding.

25

2026-02

Under the cross-border hot spots of 2026, how to filter Twitter user data to avoid invalid reach

If the data size is too large to be processed manually, you can try to contact Digital Planet customer service to learn about the screening plan. Test active filtering with a free trial before committing to long-term use.

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