Three types of low-quality WhatsApp numbers commonly used in overseas promotions

Once the amount of WhatsApp data increases, the difference in number quality will become more and more obvious. Some numbers can be reached and communicated continuously for a long time, while some numbers exist but have little operational value. If no screening is done in the early stage, subsequent group sending, private chat and private domain operations will be slowed down.

In overseas promotion, low-quality numbers are usually concentrated in several types and appear very frequently.

Category 1: Empty numbers and unavailable numbers

This is the most basic type of low-quality data.

Common situations include:

l Number has been deactivated

l Not activatedWhatsApp

l Unable to receive messages normally

The biggest problem with this type of number is not low conversion, but the complete inability to enter the communication process.

If the proportion of empty numbers in the list is too high, it will directly affect:

l Mass sending success rate

l Data statistical accuracy

l Customer service follow-up efficiency

Especially when sending in batches, the more invalid numbers there are, the more obvious the waste of resources will be.

Category 2: Long-term inactive numbers

Although some numbers can be used normally, they have not been really active for a long time.

For example:

l rarely log in

l No reply for a long time

l Basically no interaction

Such users often make private chat progress very slow.

Because customer service needs to spend a lot of time waiting for feedback, but very few people actually convert.

When long-term inactive numbers are mixed with truly active users, the overall response rate will be significantly lowered.

Category 3: Abnormal or batch accounts

This type of account is becoming more and more common in overseas promotions.

For example:

l Register accounts in batches

l Abnormal behavior patterns

l Profile information is incomplete

l A large number of repetitive behaviors in a short period of time

Even if such accounts can be reached, it is difficult to achieve real conversion.

More importantly, they will interfere with the overall data judgment and make the team mistakenly believe that there is a lot of traffic. In fact, the proportion of real effective users is not high.

Why are there more and more low-quality numbers?

As data sources increase, number quality naturally becomes more complex.

Common sources include:

l advertising form

l Social media traffic

l Historical customer list

l Third party data

After long-term accumulation of this data, if it is not cleaned regularly, the proportion of low-quality numbers will become higher and higher.

Number quality will directly affect back-end costs

Many teams only focus on the sending volume, but what really affects the cost is actually the invalid reach ratio.

The more low-quality numbers there are:

l Customer service time is wasted more seriously

l The higher the resource consumption of mass sending

l Private domain operations become more difficult to stabilize

Therefore, front-end screening has become increasingly important.

Before formal marketing, it is more stable to do a number test first

Rather than dealing with the problem after sending it, a more reasonable way is to complete basic filtering on the front end.

In actual operation, you can first use Digital Planet to perform number screening to filter out empty accounts, low-activity numbers and abnormal accounts in advance. Digital Planet supports free trial screening test.

In this way, the subsequent data will be more suitable for continued operations.

Low-quality numbers don’t just affect sending

Many times, what is really slowed down is not the sending, but the overall rhythm behind it.

For example:

l Private chat promotion efficiency decreases

l Customer service is getting tired

l High-value users are drowned in low-quality data

In the long run, the entire operating structure will be disrupted.

Why more and more teams are beginning to pay attention to number screening

In the past, many overseas promotions tended to cast a wider net, but now they rely more and more on data quality.

because:

l Traffic costs are getting higher and higher

l User attention spans are getting shorter and shorter

l Pan-traffic conversions are getting lower and lower

With the same budget, if the proportion of low-quality numbers is different, the final effect will be much worse.

WhatsApp operations are becoming more like data operations

do it nowWhatsApp marketing is no longer just a matter of sending content, but more like managing data structure.

Whoever can filter out low-quality numbers earlier will have more stable operations later on.

The amount of data can continue to increase, but what really determines the results is the proportion of effective users.

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