How to filter Amazon buyer’s mobile phone number to find valid contact information

Amazon buyer data has always been a resource that many cross-border teams focus on, but after they actually start operations, many people will find that there is no shortage of lists, but there are not as many effective contact methods that can truly reach them in the long term as they imagined.

Same thingAmazon buyers' mobile phone numbers. Some numbers can be used for stable private chats and continuous communication. Although some numbers exist, it is difficult to establish real contact. What really determines the effectiveness of subsequent operations is not just the size of the list, but the proportion of effective contact information.

Why is Amazon buyer data increasingly difficult to use directly?

In the early days, many teams would directly import buyer data into the system and start group messaging or private chatting. But as data sources become more complex, list quality fluctuates more and more.

Common data sources include:

l Historical order users

l advertising campaign users

l third party list

l Social media attracts users

When these data are mixed together, they often appear:

l The proportion of empty numbers increases

l Some numbers are invalid for a long time

l Active status unclear

l More and more duplicate data

If not handled in advance, subsequent operational efficiency will be significantly reduced.

What are the characteristics of effective contact information?

A contact method that is truly suitable for long-term operations will generally have several characteristics at the same time.

First, the number itself is available

This is the most basic layer.

If the number cannot be reached normally, subsequent group messages, private messages, and customer service will not be able to continue.

Second, users keep using it for a long time

Although many numbers exist, they are rarely used by users.

For long-term active users, it is usually easier to:

l Reply to message

l Continuous communication

l Enter long-term private domain operation

Third, usage behavior is relatively stable

Accounts that are used stably for a long time often have:

l Continuous online habits

l normal interaction behavior

l Relatively complete traces of use

The subsequent value of such users is usually higher.

WhyAmazon buyers are more suitable for hierarchical operations

Amazon users are different from ordinary traffic because they already have purchasing behavior.

But even so, there are still huge differences between different users.

For example:

l High frequency consumer users

l One-time purchase user

l Long-term silent users

l Highly active users

If they are all handled uniformly, it is easy to waste a lot of resources.

Therefore, more and more teams will screen first and then operate at different levels.

What processing is usually done first when screening?

A truly effective mobile phone number processing process usually does not just look at whether the number exists or not.

The more common steps include:

Deduplication

Prevent the same user from entering the system repeatedly.

Usability testing

Confirm whether the number is still working properly.

active screening

Distinguish between chronically active and low-active users.

Label layering

Reorder based on tags such as region, age, consumption behavior, etc.

After completing these steps, the data structure will be much clearer.

Why effective contact information is more suitable for subsequent private domain operations

The biggest fear of private domain operations is not that there are few users, but that a large amount of low-quality data takes up resources.

If the number itself:

l Active for a long time

l Can reach stably

l Have real usage behavior

Later private chats and customer maintenance will be much easier.

Especially in high-customer single products, long-term communication is more important than short-term mass messaging.

It is more stable to complete the number detection before operation

If the data directly enters the mass distribution and customer service processes, invalid communication will continue to occur later.

In actual operation, you can first use Digital Planet to do screen number detection to filter out unavailable numbers and abnormal data in advance, and then proceedAmazon buyer’s mobile phone number is hierarchical. Digital Planet supports free trial screening test.

This can make subsequent operations more centralized.

Why do many teams pay more and more attention to data quality in the later period?

In the past, many cross-border teams paid more attention to list size, but now they pay more and more attention to:

l Reachability

l Active ratio

l long term operating value

Because traffic itself is no longer scarce, what is truly scarce are high-quality users.

A common misconception is that bigger lists are better

Many teams will continue to increase the amount of data in the hope of increasing overall conversions.

But if the proportion of low-quality numbers is getting higher and higher:

l Customer service pressure will increase

l The advancement of private chat will become slower and slower

l The private domain structure will become increasingly chaotic

The truly effective direction is to increase the proportion of effective contact methods.

Amazon user operations increasingly rely on front-end screening

do it nowAmazon buyer private domain is no longer just about importing data.

More and more teams are beginning to pay attention to:

l Number filter

l active screening

l User stratification

l Long-term retention operation

Because for the same batch of lists, as long as the front-end screening logic is different, the subsequent operational results will be much different.

The real value is not how many numbers you have, but how many users you have that are worthy of long-term operation.

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