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28

2026-04

How to determine the activity of X account in the United States, first select users who can be converted from general traffic

When trying to attract traffic to X (formerly Twitter) in the US market, a very common phenomenon is: there is no shortage of traffic and a lot of interactions, but the proportion of users who can actually convert is very low. Comments, likes, and reposts seem lively, but once they enter the stage of private messages or contact information, they obviously "drop out."

19

2026-03

How to clean Twitter batch data? 3 steps to solve the problem of duplicate accounts and invalid data

This article will focus on the complete process of Twitter batch data cleaning, break down how to solve the problem of duplicate accounts and invalid data in 3 steps, and establish a long-term maintenance mechanism.

25

2026-02

The key to improving marketing success rate: Twitter’s high-quality account screening criteria

To improve the success rate of marketing when acquiring cross-border customers, the core lies in establishing clear screening criteria for high-quality Twitter accounts. Compared with simply screening Twitter accounts or testing online Twitter accounts, quality judgment emphasizes structure and stability rather than just surface activity.

25

2026-02

How to detect Twitter online account? Practical techniques for identifying real-time active users in batches

To truly detect Twitter online accounts, we need to combine the three dimensions of "real-time online", "recently active" and "long-term stability" instead of a single judgment. Otherwise, even if a batch of online accounts are screened out, the conversion effect may still be unsatisfactory.

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