How to choose batch FB screening service: Facebook user quality, account status and active tags all depend on

batchThe FB filtering service is now no longer just a simple export of Facebook data, but has gradually become a set of front-end data filtering processes.

Many teams used to do Facebook promotions, focusing on getting more accounts, more users, and more interaction data. However, as advertising costs become higher and higher and private domains become more and more important, more and more people are beginning to discover that what really affects the back-end results is not the amount of data, but the quality of the data.

Especially on a platform like Facebook with very complex traffic, if you don’t screen the content in advance, subsequent advertising, private chats, communities, and customer service will all be slowed down by low-quality traffic.

WhyFacebook data increasingly needs to be sifted

Facebook has a large number of users, but its data structure is becoming more and more complex. Many accounts appear to be normal, but are actually inactive for a long time; some users will like and comment, but will not really enter the private domain; and some accounts themselves are short-term marketing accounts, abnormal accounts, or low-quality traffic. If the team directly imports all data into the system, no problem may be seen in a short period of time, but after a period of operation, the response rate, group activity, and conversion efficiency will slowly decrease.

Many teams will later discover that the advertising data looks good, but not many people are really willing to communicate long-term. The problem in many cases is not that there is no advertising traffic, but that the screening materials are not done well.

batchWhat exactly does FB screen material screen?

truly practicalWhen FB screens for information, it doesn’t just screen whether the account has been registered, but also looks at the account status, long-term activity, interactive behavior and user quality. Just because the account exists does not mean that the user is still using it; if there is interaction, it does not mean that there will be subsequent conversions.

The more common filtering dimensions include:

Account authenticity;

active state;

long-term online behavior;

Data completeness;

Regional attributes;

device tag;

Interaction frequency.

These dimensions have limited value individually, but when combined, they will be more meaningful than simply looking at the number of fans or likes.

Why active tags are increasingly important

In the past, many teams liked unified operations, as long as theyAll Facebook traffic goes into the advertising pool or private domain pool. But now more and more people are starting to do active stratification, because the subsequent value gap between different active users will be very obvious.

Highly active users usually mean:

Long-term online;

Interaction is more stable;

Easier to reply;

Easier access to private areas.

Even if there are a large number of low-active users, it is difficult to form long-term value. If a large number of low-active accounts enter the system, customer service will become increasingly tired, and the effect of advertising remarketing will become worse and worse. Therefore, more and more teams now screen for activity first, and then decide on the order of subsequent operations.

Why account quality is more important than number of fans

done beforeWhen operating on Facebook, many teams will focus on the number of fans and the scale of interaction. But now more and more projects have realized that the number of fans does not equal the quality of real users.

especially nowThere are more and more AI content, batch accounts and marketing accounts. Although many pages are interactive and beautiful, the proportion of real users is not high. If the front-end filtering is not done, the subsequent communities and private domains will be easily diluted by low-quality traffic.

Truly valuable users usually leave more stable long-term behaviors, such as continuous interaction, long-term online, normal data structure and stable device status. Although the number of such users may not be the largest, their subsequent operational value is usually higher.

What scenarios are suitable for batch screening?

FB screening materials are more suitable for use in scenarios such as advertising remarketing, community recruitment, private domain diversion, local services, e-commerce repurchase and long-term customer operations. Because these businesses rely on continuous interaction, if the quality of the users themselves is unstable, subsequent conversions and customer service will become increasingly difficult.

For example, in advertising projects, high-active users can be screened before remarketing; in community projects, long-term online accounts can be retained first; in e-commerce projects, it is more suitable to further stratify by combining regions and consumer labels. After processing in this way, data usage will be more stable, instead of consuming all traffic uniformly.

Data detection can reduce ineffective back-end operations

The problem for many teams is not a lack of data, but too much low-quality data. If a large number of abnormal accounts, silent users and duplicate data are mixed into the list, subsequent advertising and private domain operations will become increasingly heavy.

In actual operation, you can first use Digital Planet to do screen number detection, filter unavailable and abnormal data in advance, and then combineFacebook account status and active tags are used for further filtering. Digital Planet supports free trial screening test. In this way, subsequent advertising reach, community operations and customer service follow-up will be more stable.

Facebook screening materials are changing from "traffic filtering" to "user identification"

In the past few years, many teams were competing to see who had more data, who had greater traffic, and who had wider advertising coverage. Now more and more people are starting to compete with who has more accurate data, who has more long-term users, and who has a higher proportion of high-quality users. Because what’s really important in the future is no longer how much you get.Facebook traffic, but to screen out in advance how many people are worthy of long-term operation. In the future, batch FB filtering will increasingly focus on user authenticity, long-term activity and behavioral identification, because what really determines the back-end results is never the number of accounts, but the corresponding people behind them.

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