Dismantling of Facebook account screening process, key steps from import to screening

Many teams are doing itWhen Facebook attracts traffic, it will focus on advertising and the number of customers it acquires, but when it actually gets into the back-end, it is often discovered that the problem starts to become complicated. There are more and more leads, customer service is getting busier and busier, but the proportion of users who can really follow up for a long time has not increased simultaneously.

The reason is usually not the traffic, but the lack of systematic screening of the data.If Facebook data is directly entered into operations, it is easy for a large number of invalid accounts, low active users and duplicate data to appear. The longer time passes, the more chaotic the entire private domain structure will be.

Therefore, more and more teams now useFacebook account screening is made into a fixed process, rather than waiting for problems to arise later to remedy them.

WhyFacebook data cannot directly enter operations

Facebook data sources are often complex.

For example:

ladvertising form

lMessenger private chat

lsocial interaction

lEvent registration

lComment area to attract traffic

Although these data are all clues, the difference in quality will be very obvious.

Some users are real long-term users, and some only have short-term interactions; some account information is complete, and some are obviously low-quality traffic. If you do not screen in advance, the efficiency of subsequent customer service, group messaging and private messaging will be slowed down.

Especially when the amount of data becomes larger and larger, this problem will become more and more obvious.

The first step: unified organization after import is very important

What many teams tend to overlook is actually the first step in sorting out the data after it enters the system.

Because the data formats from different sources are often not uniform.

Some have country codes, some don't; some have been submitted multiple times; some tags are completely missing. If these issues are not dealt with in advance, subsequent screening will become increasingly chaotic.

So the first step is usually to do:

lUnified data format

lClean up duplicate accounts

lBasic tag classification

This step seems simple, but it will directly affect all subsequent operations.

Step 2: Basic account detection determines subsequent efficiency

After finishing the sorting, the next step is usually basic account detection.

Highlights generally include:

lIs contact information available?

lCan it still be reached normally?

lIs there any obvious abnormal behavior?

Because although many accounts exist, they have actually expired or have been inactive for a long time.

If this data continues to enter the mass distribution and customer service processes, it will cause a lot of waste of resources.

Many teams have poor mass distribution results in the early stage. This is not essentially a content problem, but a high proportion of low-quality accounts.

Step 3: Activity and quality screening are the real core

What really determines the effectiveness of subsequent operations is usually not the number of accounts, but the quality of users.

Therefore, many teams will continue to do active screening and further split users.

For example:

Long term active users

Suitable for priority private chat and key operations.

Common active users

Suitable for continuous content exposure and gradual cultivation.

Low active or silent users

Reduce the sending frequency to avoid wasting resources.

After completing this step, the subsequent operational rhythm will be significantly clearer.

Why more and more teams are beginning to pay attention to abnormal account identification

NowAn increasingly obvious problem in Facebook traffic is the increase in the proportion of abnormal accounts.

For example:

lRegister accounts in batches

lAbnormal behavior patterns

lInformation is not updated for a long time

lQuick silence after short-term high-frequency interaction

This type of account will make the data look like a lot, but the actual operational value is very limited.

Therefore, abnormal account identification has gradually becomeA very important part of Facebook screening.

After screening, it is more suitable to resume batch operations

Many teams were used to sending data in batches in a unified manner, but after data screening is completed, a more reasonable approach is usually to re-batch the data.

High-quality users are prioritized.

Ordinary users continue to be cultivated.

Low-quality data reduces reach frequency.

This kind of structured operation will be much more stable than indiscriminate sending.

Because truly high-value users usually only account for a part of the data.

Before formal screening, it is more stable to complete basic testing first

If data goes directly into back-end systems, problems will accumulate.

In actual operation, you can first use Digital Planet to do screen number detection, and then enter subsequent activation and quality stratification. Digital Planet supports free trial screening test.

This allowsBefore a Facebook account enters the private domain, it must first complete basic cleaning.

Why do many teams increasingly rely on data screening in the later stages?

As the private domain operation cycle becomes longer, many problems will gradually be exposed.

For example:

lOld data gradually becomes invalid

lHigh-value users are flooded with low-quality traffic

lIt’s becoming increasingly difficult for customer service to determine priorities

Without continuous screening, the entire data structure will become increasingly confusing.

Therefore, many teams now regard data screening as a long-term process rather than a one-time action.

Facebook operations are shifting from traffic thinking to filtering thinking

In the past, many teams would pay more attention to the amount of ads and the number of forms, but now they are paying more and more attention to:

lUser authenticity

lLong active state

lPrivate domain operational value

lProportion of high-quality users

because the sameWith 10,000 pieces of data and different filtering logic, the number of users who can actually stay will be very different.

Facebook account screening seems to be just data processing, but in fact, it determines whether the entire back-end operation will become easier and easier.

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