WA customers suitable for long-term operation usually have these characteristics

DoPeople in the private domain of WhatsApp will gradually realize a problem in the future: customers who can truly operate for a long time only account for a part of the data. Many users seem to interact well in the early stage, but then become silent soon; there are also some users who do not reply frequently, but can maintain stable communication for a long time.

The biggest fear in long-term operations is not that there are few users, but that the user structure is unstable. Screening out those who are truly suitable for long-term operations is more important than continuously expanding traffic.

The biggest difference between long-term operating users and short-term traffic

Short-term traffic usually has one characteristic: it interacts quickly, but it also disappears quickly.

For example:

l Focus on replying during the event

l A large number of consultations in a short period of time

l More sensitive to prices and offers

This type of user is suitable for short-term conversion, but not necessarily suitable for long-term private domain accumulation.

And long-term operating users value more:

l stable communication

l long term value

l Continuous usage habits

While the engagement cadence may not be as high, retention is generally more stable.

The first type of characteristics: the account is active for a long time

One of the most obvious characteristics of long-term operating users is continuous use.

These users usually:

l Maintain long-term online habits

l Will check messages periodically

l Account usage traces are relatively stable

Compared with short-term active users, they are more likely to form long-term communication instead of just appearing once.

existIn WhatsApp operations, long-term activity is more important than short-term high frequency.

The second type of characteristics: more complete information and usage traces

It is suitable for users who operate for a long time. Generally, the characteristics of real people will be more obvious.

For example:

l Avatar long-term stability

l Complete information

l natural behavior

Although many low-quality accounts can send messages, the traces of long-term use are not obvious.

This difference will directly affect subsequent trust establishment.

The third type of characteristics: the interactive rhythm is more stable

Long-term customers may not necessarily respond the fastest, but the interactions are usually more consistent.

They may not chat frequently, but they will:

l periodic reply

l Stay in touch for a long time

l Easier to enter a state of long-term communication

Compared with short-term high-interaction users, the subsequent value of this group of people is usually higher.

Long-term operations are more suitable for active screening first and then stratification.

If all users operate in a unified manner, it is easy to submerge truly high-value users.

A more reasonable way is:

Screen out long-term active users first

Then combine interaction and usage behavior to make layering

Finally, arrange private messages and content contacts according to priority

This will be more stable than indiscriminate mass sending.

It saves effort to filter out low-quality data before operation

Many times, back-end operations become more and more difficult, not because of the content, but because the proportion of low-quality users is too high.

For example:

l Unavailable number

l Long-term silent users

l Abnormal account

If this part of the data is not processed in advance, customer service and private domain operations will become increasingly tired.

In actual operation, you can first use Digital Planet to do screen number detection, and then combine active and interactive tags to screen those suitable for long-term operations.WA customers. Digital Planet supports free trial screening test.

In this way, the subsequent private domain structure will be more stable.

Long-term private domains need stable users rather than bursts of traffic.

Many teams will continue to pursue new traffic, but those who can really accumulate in the long term are those stable users.

Because long-term operations rely more on:

l Continuous communication

l User retention

l Long-term trust building

If the users themselves are unstable, no matter how much traffic there is, it will be difficult to settle.

Why long-term operations increasingly rely on user screening

As the size of data becomes larger and larger, the proportion of general traffic will become higher and higher.

If no filtering is done:

l Private chat efficiency will decrease

l Customer service pressure will increase

l High-value users are more likely to be ignored

Therefore, many teams now put screening before operations instead of adjusting later.

A common misunderstanding is to only look at short-term response rates

Some users respond very positively in the early stage, but then quickly drop out.

There are also some users who are slow to reply but are able to stay in touch for a long time.

Therefore, long-term operation should pay more attention to:

l Continuous usage habits

l Long active state

l stable interactive behavior

Rather than just looking at short-term interactions.

WA private domain operations pay more and more attention to long-term value

There used to be a lotWhatsApp marketing is more biased toward short-term mass messaging, and now it is increasingly biased towards long-term private domain operations.

Whoever can screen out long-term users earlier will have more stable operations later on.

The number of users can grow slowly, but the quality of users must become higher and higher.

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The platform has several features including Open filtering, active filtering, interactive filtering, gender filtering, avatar filtering, age filtering, online filtering, precise filtering, duration filtering, power-on filtering, empty number filtering, mobile phone device filtering wait.

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