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16

2026-06

Construction of high-value user screening model, identifying high-quality customers in 5 major dimensions

The selection of high-value users is changing from "empirical judgment" to "model calculation". More and more teams no longer rely solely on sales feeling or operational intuition, but try to use unified standards to define what kind of users are worthy of focusing resources. Especially as traffic costs continue to rise, the cost of spending budget on low-value users is getting higher and higher.

15

2026-06

Telegram user online status query to gain insight into recent active user behavior

A team that operates overseas communities once encountered a very typical situation: they accumulated tens of thousands of members on Telegram and continued to post content every day, but the channel interaction data was always unstable. Some posts get good reads, while others get little to no feedback. Later, they did a simple split and discovered a key problem - a large number of members had not been online for a long time, and their operating rhythm was still designed according to "full active users".

12

2026-06

User activity index assessment, five dimensions to gain insight into user activity

User activity index evaluation has become an important indicator in the era of refined operations. In the past, many companies were accustomed to measuring business growth by the number of registered users. However, as the market environment changes, simply focusing on user scale can no longer truly reflect operational results. For a platform with millions of registered users, if only a small number of users continue to use it every day, the value behind these numbers is actually very limited.

21

2026-05

Why does Telegram always go awry when it comes to accurately acquiring customers? Real account screening and community activity are often confused.

Sometimes there are many group messages but few consultations; sometimes the number of members grows rapidly, but the effect of private domain precipitation becomes worse and worse. Many times the problem is not traffic, but that "real accounts" and "community activity" are mixed together.

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

Where to find male IG users? How to detect high-profile single users 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 those who are more than 25 years old and have beauty makeup

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

How to prioritize overseas promotion to reach potential customers who are more likely to respond

In the overseas promotion system, reaching itself is not difficult. The difficulty lies in "whether there is a response after reaching out." When the data scale expands, relying solely on batch access can easily lead to a result: the volume of sending continues to increase, but the feedback rate gradually decreases.

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