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05

2026-06

Why is it easier to increase conversion rate after iOS user detection? The logic behind data filtering

iOS user detection has been increasingly discussed in overseas customer development circles in recent years. Especially in teams that engage in cross-border businesses such as WhatsApp operations, Telegram traffic, and email development, "iOS users" are often singled out for first-level screening.

26

2026-05

WhatsApp high-conversion operation model (detection → layering → private chat → repurchase) complete path

The team that can truly achieve stable conversion of WhatsApp is often not the one that posts the most, but the one with the clearest structure. Conversion is not determined by a single message, but by a set of continuous actions. If there is no clear path, no matter how many attempts are made, it will only be a piecemeal attempt.

22

2026-05

Japanese Line acquires local customers, how to combine stores, communities, and content

Over the past year, offline consumption in Japan has been gradually recovering, which can be seen from the results announced by many department stores, chain drug stores, and catering brands. Especially in core cities such as Tokyo and Osaka, local passenger flow and tourist flow have rebounded at the same time. Offline is busy, but a very real problem has also arisen: store traffic will not automatically convert into long-term customers. Many brands find that customers come once and then leave, making it difficult to leave contact information and make repeat purchases.

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.

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