OKX Highly Responsive User Identification Solution: From Account Status to More Detailed Activity Operation

When acquiring encrypted users, many teams first pay attention to one question: whether the account exists and whether it is registered. However, as the amount of data increases, it will gradually be discovered that it is difficult to support actual conversion solely by relying on registration status. Because inIn platforms like OKX, what really determines the response rate is not whether there is an account, but whether the user is active.

It is the same batch of accounts. Some users use them almost every day, and some may not log in for a long time. If no distinction is made and unified contact is made, the result is often a large number of messages sent out but no feedback. Therefore, from"Account status" moves towards "activity identification", becoming a key step in screening high-response users.

Why just looking at registration status is no longer enough

Registration status can only solve one problem: whether the user exists.

But in actual operations, what is more important is whether users will see the message and whether they are likely to respond. If an account exists but is not used for a long time, its value is actually not much different from that of an unregistered account.

Therefore, relying solely on registration detection will result in a large number of"Low value users".

Why OKX user screening must include activity judgment

existAmong OKX users, the difference in activity is very obvious.

Some users frequently transact or browse, while others only register and rarely use it again. If no distinction is made, operational resources will be evenly distributed among all users, resulting in a decrease in efficiency.

By filtering active users, you can prioritize those groups who are more likely to interact and convert, thereby increasing the overall response rate.

What are the behavioral characteristics of highly responsive users?

Highly responsive users usually have several characteristics in common.

The first is that there has been recent usage behavior, and the second is that the account is stable, has no abnormal or risky characteristics, and may also show a certain degree of activity on multiple platforms. Such users are more receptive to information and more willing to participate in communication.

In contrast, low-activity or abnormal accounts, even if there are a large number of them, are difficult to produce actual results.

How should account status identification and activity filtering cooperate?

In the actual screening process, the two are used hierarchically.

The first step is usually to check the account status to filter out registered users; the second step is to perform activity screening to filter out low-active accounts. Through these two levels of filtering, the data can be sorted from"Available" is further elevated to "valuable".

In this process, batch screening, active user identification and multi-dimensional detection can be carried out through Digital Planet.OKX user data undergoes structured screening to quickly target high-response groups.

From batch inspection to hierarchical operation, how should the process be set up?

Screening is only the first step, what is more important is how you use it later.

After the screening is completed, users can be stratified according to their activity and account status. For example, highly active users will be reached first, ordinary users will be cultivated for a long time, and low-quality data will be eliminated directly. Through this layering, each type of user can enter a different operational path.

This method is more efficient and stable than unified contact.

Why activity operation is becoming a core competency

As the scale of data continues to expand, relying solely on quantity is no longer an advantage.

Whoever can more accurately identify high-response users will be able to obtain better conversion results with the same amount of data. Activity recognition is the key capability to achieve this.

When the screen number changes from"Determine whether there is an account" has been upgraded to "determine whether it is worth reaching", and the entire customer acquisition logic will also change accordingly.

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