At a community operation review meeting, someone mentioned a phenomenon: there were a lot of people signing up for a certain trading event, but the proportion of users who actually participated in the transaction was very low. Backend data shows that although a considerable number of registered accounts have completed registration, they have almost no recent transactions. The list looks"Lively", but actually not active.

1. What is it called?"Active User"

In the context of a trading platform,"Active" is not the same as "present". An account can be registered, but if you do not log in, trade, or hold positions for a long time, its commercial value will be very limited.

From a basic understanding, active users usually have the following three behaviors:

First, the login is active.

The account has login records in the recent past, rather than being silent for a long time.

Second, transactions are active.

There is continuous order placing, closing or holding positions.

Third, capital flows are active.

There are records of fund inflows and outflows or position adjustments in the account.

The core of Bybit's active user screening is to identify accounts that actually use the platform in these dimensions.

2. Why it is meaningless to only look at registration

Registration is just the beginning. Many accounts may complete one attempted transaction after registration and then not be used for a long time. If you only look at it when doing marketing or cooperation screening"Register or not" will mistakenly include these silent accounts in the valid list.

Let’s take a simple case.

A certain quantitative strategy promotion team once used a batch of"Registered User List" for private message invitation. In the first round, 1,000 invitations were sent and only a handful of responses were received. After review, it was found that more than half of the accounts on the list had not had any transactions in the past two months.

In the second round, they do it againBybit filters active users and only retains accounts with transaction records in the past month. With the same number of invitations, the response rate increased significantly. Although the list size has become smaller, the proportion of effective communication has increased.

This case shows that registration detection is only the most basic layer of filtering.

3. How to determine if the user is really trading

To determine whether a transaction is real, you can start from a few simple dimensions.

First, look at transaction frequency.

Accounts with persistent transaction records are more valuable than occasional transactions.

Second, look at changes in positions.

If the positions in the account remain unchanged for a long time, it may be just a one-time operation; if there are continuous adjustments, it means the activity is higher.

Third, look at capital behavior.

The behavior of recharging, transferring out or adjusting positions of funds is often a reflection of activity.

These indicators are not complex, but if the data scale is large, manual review one by one will be inefficient.

In this case, systematic tools can be used for batch identification. For example, Digital Planet as a global244 national social AI number screening platform supports multi-platform account status identification and hierarchical management. When it comes to Bybit account screening scenarios, the active status can be identified through the system to improve screening efficiency. The platform supports free trials to facilitate first verification of effects.

4. What impact does active users have on marketing?

The value of active user screening is reflected in three aspects.

First, improve the reach rate.

Active users are more likely to see messages and respond to them.

Second, reduce resource waste.

Avoid wasting time and money on silent accounts.

Third, increase activity participation rates.

Active trading users are more likely to participate in promotions or strategy testing.

5. Which scenarios are suitable for active screening?

Bybit active user screening is especially suitable for the following scenarios:

lTrading strategy promotion

lCommunity event invitations

lHigh net worth user stratification

lPrivate domain conversion operation

In these scenarios, activity is more meaningful than the number of registrations.

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