Why is it harder to find high-interaction users on Instagram recently? How to filter data first

Instagram traffic has not decreased, but highly interactive users have become significantly scarcer. This change is not a decrease in users, but a change in the data structure: the proportion of ordinary registered users, low-active accounts and invalid data continues to increase, and users with truly interactive behaviors are "diluted".

In this case, if you still reach directly in the original way, it is easy to have a result—Sending volume is increasing, but interaction rates continue to decline. Therefore, the filtering action begins to move forward, and data filtering becomes a key step to improve interaction efficiency.

There are fewer highly interactive users, which means the data is diluted.

in a batchAmong Instagram users, not all accounts have interactive behaviors.

With the development of the platform, a large number of new accounts, silent accounts and low-frequency accounts have entered the data pool. Although these accounts“Presence” but barely engages in likes, comments or private message interactions. If left undistinguished, these low-quality data will directly lower the overall interaction rate.

Therefore, it is not that there are fewer highly interactive users, but they are covered up by more invalid data.

Why can’t we just look at the registration status anymore?

The registration status can only indicate that the account exists, but cannot indicate whether the account is active.

An account that has not been used for a long time will be difficult to generate feedback even if it is successfully reached. If the filtering logic is still stuck at"Register or not", then the data entering the operation process will contain a large number of low-interaction users.

In the current environment, activity has become a more important criterion than registration.

What characteristics do highly interactive users usually have?

From a behavioral perspective, high-engagement users usually share several common characteristics.

For example, you have recent login and usage behaviors, you have the habit of liking or commenting on content, and you have continued to pay attention to specific types of content. Such users are more likely to respond to touch information and enter the subsequent conversion process.

In contrast, even if low-active users are reached, it is difficult to generate effective interactions.

What actions should be prioritized for data filtering?

In practice, data filtering is usually divided into several levels.

The first is basic cleaning, such as deduplication and format verification; the second is account status detection, which is used to filter out available accounts; then the activity filtering is used to filter out long-term inactive users; finally, it can be combined with content matching to further filter the target group.

Through this layered filtering, data quality can be gradually improved.

Which data should be filtered out first?

During the screening process, there are several types of data that need to be processed with priority.

Including long-term inactive accounts, abnormal accounts, repeatedly imported data, and users that obviously do not match the business direction. Even if this data enters subsequent processes, it is difficult to generate value and will instead consume resources.

Filtering in advance can make the data structure clearer.

How to make data filtering more efficient

When the data scale is large, manual processing can no longer meet the demand, and batch screening tools need to be relied upon.

Through batch detection, account identification and active screening can be completed in a short time, and low-quality data can be quickly filtered out. In this process, it can be carried out through Digital PlanetInstagram-related user screening, active identification and data cleaning transform raw data into a user pool with more interactive potential.

This approach can significantly improve subsequent operational efficiency.

fromThe change from “broad reach” to “priority screening”

Instagram’s operating logic is changing.

In the past, more emphasis was placed on reaching more users, but now more emphasis is placed on screening users who are more likely to interact. As the size of data continues to expand, this change will become more and more obvious.

In the current environment, whoever can complete data filtering earlier will have an easier time targeting high-interaction groups, thus improving the overall effect.

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