How to find the WhatsApp number of American e-commerce customers, screen T-card, iPhone users, and blue label accounts for more segmentation

U.S. cross-border e-commerce has become increasingly dependent onWhatsApp private domain. Especially in high-customer orders, independent websites, member repurchases and long-term customer service scenarios, many projects are no longer satisfied with "getting customers", but focus more on "what kind of customers they get".

Because what really affects back-end conversion now is not the number of numbers, but the quality of users.

The same group of AmericansAmong WhatsApp users, some are online for a long time, while others hardly reply; some will continue to make repeat purchases, while some only have one-time traffic; and some users are more suitable to operate in the high-customer private domain.

Because of this, more and more people are starting to add more tags in the number screening stage, such as:

lT card recognition

liPhone user identification

lWhatsApp blue mark recognition

lactive status screening

llong-term behavior label

After combining these tags, the structure of American e-commerce customers will be much clearer.

why the united statesWhatsApp users are becoming more valuable

The U.S. market itself has high consumption power, andWhatsApp is increasingly used more and more stably in many cross-border scenarios.

Especially:

lIndependent station customer service

lLong-term membership operation

lHigh customer single product

lPrivate domain repurchase

lOverseas after-sales service

These businesses rely heavily on long-term communication in the later stages.

Many people who can really repurchase stably in the later stages of the project are usually not short-term advertising traffic, but long-term online and long-term interactive users.WhatsApp user.

So now more and more people are beginning to study: Which U.S.WhatsApp users are more suitable for long-term operations.

WhyT card recognition will become more and more popular

USAT-cards have attracted more and more attention in the past two years, and the reason is very practical.

Because many users who have used the local communication environment in the United States for a long time are usually accompanied by:

lMore stable online behavior

lLonger term number usage habits

lA more sustainable social environment

lMore stable device status

The combination of these tags will make it more suitable for long-term private domain operations than ordinary flood traffic.

In particular, teams engaged in high-customer e-commerce will pay more attention to user stability rather than simply looking at the number of numbers.

It is precisely because of this that more and more people are beginning toT-card recognition is incorporated into the user screening process.

Why iPhone users are more suitable for high-customer single projects

Now many American e-commerce projects have begun to individually screeniPhone users.

The reason is not because"Apple users must have higher consumption", but after long-term operation, many teams will find that iPhone users are usually accompanied by:

lLonger term equipment use

lMore stable online status

lMore continuous interactive behavior

lMore mature consumption habits

Especially when:

lHigh customer order e-commerce

lMembership system

lSubscription products

lLong-term private domain operation

In these scenes,iPhone labels are usually more valuable for reference.

So more and more people are starting to:

Screen firstiPhone users;

Rescreen active status;

Finally, enter the private domain and customer service.

In this way, subsequent operations will be much more stable.

Why is WhatsApp blue label attracting more and more attention?

Blue label identification is also becoming more common now.

Because many blue label users are usually accompanied by:

llong-term usage behavior

lStable device environment

lLonger online presence

lMore consistent interaction habits

The stability of these users in the long-term private domain is often higher than that of ordinary general traffic.

In particular do:

lHigh customer single product

lLong-term repurchase

lEnterprise customer service

lOverseas membership system

During these projects, blue label users will be more likely to form long-term value.

Of course, the blue label does not necessarily mean high value, but it has slowly become an auxiliary label that many teams will refer to.

Why do U.S. e-commerce companies increasingly rely on"combination tags"

In the past, many teams engaged in American e-commerce and preferred to run traffic on a large scale.

But now more and more people have begun to realize that truly stable high-value users usually do not just meet one condition.

For example:

USA+ WhatsApp + iPhone + High Activity;

USA+ blue label + long-term online;

USA+ T card + continuous interaction.

The operational value of this combination of tags will be much higher than ordinary flood traffic.

Because the user structure will be clearer, customer service, advertising and private domains will also be easier to accurately distribute.

The cleaner the data front end, the easier it is on the back end

Many teams will discover later that what really slows down customer service and private domains is not that there are few users, but that there are too many low-quality users.

For example:

llong silent number

lAbnormal account

lLow active users

lShort term registration data

After these users enter the system, they will continue to consume sending resources and customer service time.

So now more and more people have started:

Do a number test first;

Then do label layering;

Finally, enter the advertising and private domains.

In this way, subsequent operations will be much more stable.

At present, many teams working in the private domain of American e-commerce will first conduct basic screening through the global number detection platform to filter out empty numbers, abnormal numbers and low-active users in advance, and then combineT-card, iPhone and blue label complete further layering.

digital planet is a world-leading number screening platform that combines Global mobile phone number segment selection, number generation, deduplication, comparison and other functions . It supports customers worldwideBatch numbers for 236 countriesScreening and testing services , currently supports40+ social and apps like:

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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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Its advantage lies in integrating major social networking and applications around the world, providing one-stop, real-time and efficient number screening services to help you achieve global digital development.

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