Why cross-border marketing pays more and more attention to user identification and crowd

The cross-border marketing environment is changing from"Traffic-driven" gradually turns to "data-driven". As traffic costs continue to rise and platform rules continue to tighten, it is difficult to achieve stable results simply by expanding the reach. On the contrary, user identification and crowd filtering have begun to become key links to improve efficiency and control costs.

Essentially, this change reflects the shift in marketing logic from“Reach as many people as possible” shifted to “prioritize reaching more valuable people.”

The core reasons behind changes in traffic logic

As cross-border market competition intensifies, traffic acquisition costs have increased significantly.

In this case, if extensive delivery is still adopted, a large amount of budget will be consumed on low-quality users, resulting in overallROI drops. At the same time, the platform’s enhanced ability to identify abnormal behaviors also limits the space for indiscriminate access.

Therefore, expanding traffic alone can no longer support long-term growth.

The practical role of user identification in marketing

The core of user identification is judgment"Is this user worth reaching?"

Through identification, it can be distinguished whether the user has platform activation status, whether there is active behavior, and whether there is a matching relationship with the business. This information can help screen target groups in advance and reduce invalid contacts.

Compared with later optimization, this kind of pre-judgment is more efficient.

Crowd filtering does not reduce scale, but improves efficiency

The purpose of crowd filtering is not to reduce the user pool, but to increase the proportion of effective users.

By filtering out low-active accounts, unregistered users, and abnormal data, you can focus your reach resources on people who are more likely to generate feedback. This way, you can get higher conversions with the same budget.

Judging from the results, it uses fewer resources to achieve more stable results.

What problems will arise if identification and filtering are not done?

In the absence of user identification and crowd filtering, common problems will gradually emerge.

For example, group messages are sent but the response rate is low, the number of community members increases but interaction decreases, advertising clicks are many but conversions are poor, etc. These problems essentially point to the same cause: user quality mismatch.

In this case, continuing to invest more often does not solve the problem.

Why is the screening process moving more and more forward?

In the traditional process, screening often occurs after contact, and the data quality is inferred through the results. But this method is more expensive.

The more common approach currently is to complete the screening before reaching the users, and filter out low-quality users in advance through number detection, activity identification and other means. This allows you to control the data structure from the source.

In actual operation, Digital Planet can be used to perform user identification, number screening and multi-platform data filtering, and complete basic screening before marketing actions, thereby improving overall efficiency.

fromThe transformation from "traffic acquisition" to "user filtering"

The core of this change is the shift in marketing focus.

In the past, there was more emphasis on getting more traffic, but now there is more emphasis on identifying more suitable people. As the size of data increases, this shift will become more and more obvious.

User identification ability has gradually become an important variable in determining marketing effectiveness.

Where will the competition be in cross-border marketing in the future?

Judging from the trend, the focus of competition is shifting from channels to data processing capabilities.

Whoever can identify users more accurately and filter out low-quality people more efficiently will be able to obtain higher conversions under the same traffic conditions. This ability cannot be achieved through short-term optimization, but requires continuous accumulation in the data system.

In this context, user identification and crowd filtering will become the basic capabilities of cross-border marketing.

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