Identification of highly active people on Snapchat: How to reduce the lack of response when marketing to young users

When marketing to young users,Snapchat has always been a platform that cannot be avoided. With a large user base, high activity, and strong content acceptance, it seems to be very suitable for attracting traffic and conversion. But in actual operation, many teams will encounter a problem: the message is sent, but there is no response.

This is not uncommon and is often not a content issue but a data issue. If the users you reach are low active users, or they no longer use it very much,If you have a Snapchat account, no matter how you optimize the content, the effect will be limited. Therefore, identification of highly active groups has become an increasingly important step in Snapchat promotion.

Why Snapchat users need more activity screening

Compared with other platforms,Snapchat users tend to be younger, and the usage habits of young users change faster.

Some users may be very active for a while, but then barely use them after a while. If you do not filter, it is easy to put these"Phase users" are regarded as the target group, resulting in a decrease in reach efficiency.

Therefore, inIn the Snapchat scenario, the importance of active user screening will be more prominent.

Where is the most common data waste in young user promotion?

The biggest problem is treating all accounts as the same type of users.

In a batch of data, inactive accounts, abnormal accounts and even test accounts are usually mixed in. If there is no filtering, the sending resources will be consumed by these invalid users, and the truly valuable users will not be reached.

This kind of data waste will be infinitely amplified in batch operations.

What kind of accounts are more likely to belong to high-response groups?

Highly responsive users usually have several obvious characteristics.

For example, there has been recent usage behavior, high interaction frequency, stable account and no abnormal characteristics. This type of user is more likely to see the message and is more willing to participate in the interaction, so the probability of responding is higher.

In contrast, for accounts that have not been used for a long time, even if they are successfully reached, it is difficult to generate feedback.

Batch filtering for high activityWhat Snapchat users can do

In actual operation, this needs to be done through batch screening.

You can first perform basic detection on numbers or accounts to screen out valid users, and then use activity judgment to screen out users with recent usage behavior. Through this step, data quality can be significantly improved.

In this process, digital planet can be used to carry out user screening, activity identification and batch detection processing, supporting multi-dimensional screening, allowingSnapchat user data is more accurate. At the same time, in large-volume data processing, active user screening can be quickly completed through Digital Planet, reducing invalid data from entering subsequent processes.

After active user identification, how to adjust delivery and private domain strategies?

After the data is filtered, the operational strategy also needs to be adjusted.

Highly active users can be reached first for quick conversion or traffic; medium-active users can be used for content cultivation; while low-active or abnormal accounts can be directly eliminated. Through layered operations, resource allocation can be made more reasonable.

This method is more likely to produce results than unified delivery.

Why screening first and then promoting is more stable

Many teams are used to promoting first and then adjusting based on the results, but this method is more expensive.

If data screening is completed in the early stage and highly active users are screened out before reaching them, the overall response rate will be more stable and it will be easier to evaluate the effectiveness of the strategy.

In actual operation, by completing user screening and active identification in advance through Digital Planet, promotion can be based on high-quality data from the beginning and reduce trial and error costs.

fromThe key change from "no response after sending" to "accurate contact"

When screening becomes a pre-step, the promotion logic will change.

no longer“Reach as many people as possible” but “prioritize reaching those who are likely to respond.” This change may seem simple, but it will directly affect the overall effect.

existIn young user platforms like Snapchat, data quality often determines the results before content, and identification of highly active users is a key step in making data valuable.

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