How to filter US mobile phone number data? Detectable active status and gender tag

If you want to enter the US market to promote products or services, the first problem that many companies and studios face is:Where can I find reliable US mobile phone number data? Can these numbers be screened? Can you tell if you are active? Are there any labels such as gender, age, etc.?

You may have tried downloading online"American mobile number segment", or purchase so-called "American mobile number data packets" through third-party platforms, but in the end, it was found that these data either expired or could not be used, and it was impossible to determine whether these numbers really exist, let alone whether they can add WhatsApp, send text messages, or make phone calls.

At this time, the essence of the problem becomes:How to screen US mobile phone number data? Is there a system that can be detected, classified and can be used?

This article will introduce a more scientific solution in detail--passDigital Planet Number Screening and Detection Platform, efficient accessAvailable, classified, support active judgment and gender identificationUS mobile phone number data.

 

Why can't you use it again"Dead data packets" come to the US market?

Many people think that the mobile phone number data is only in the United States (It can be used at +1) but it is not the case. Here are some common problems:

1. A large number of numbers are empty or blocked, and messages cannot be sent out.

Many data packets have unknown sources, and may be static libraries collected three years ago, which have long been invalid.

2. The number is active and the priority is not specified.

You don’t know if this number has been logged into a social platform, has answered calls, or is it just a registration shell.

3. No gender or age tags, severe user portrait missing

When sending a group, you can't group it at all, so you can only use unified words to affect click-through rate and conversion rate.

4. It is impossible to confirm whether to bind to WhatsApp, Telegram and other platforms

Especially in cross-platform promotion, if you are not sure which social channel the user is active in, the reach effect will be greatly reduced.

therefore,The acquisition of American mobile phone numbers cannot be just a matter ofAt the level of "having numbers", we should go further to "data can be screened, status can be measured, and labels can be used".

 

How does the Digital Planet Platform filter US mobile phone number data?

Digital Planet Number Screening and Detection Platform, is an intelligent data system specially designed for the screening needs of users in the global market. For the US market, it provides the following key capabilities:

1. Support batch import and detection of US segments

You can upload your existing data, or you can directly call the built-in US number library on the platform for filtering.

2. Real-time detection of whether the number is active and whether it can receive messages

The system can identify whether the number is active (such as whether it has been logged in.WhatsApp, have you received text messages).

3. It can be determined whether the number is bound to the main social platform

includeWhatsApp, Telegram, iMessage, Line, Signal, etc. are suitable for you to choose the correct access channel in the future.

4. Automatically identify user gender, age group, and active behavior preferences

The system uses big data behavior model to classify each number labels and outputs structured population portrait data.

5. Standardized data export and support multi-system access

supportExported in CSV and XLS formats, adapted to the mainstream private message systems, CRM, SMS platforms, and automatic marketing tools on the market.

 

Filtering process: How to quickly obtain available US mobile phone number data?

Taking a health product merchant in the overseas market as an example, I want to find female users in the United States to promote a skin care suit. The specific operations are as follows:

Step 1: Enter the digital planet background and select"US Number Filter" module

Step 2: Set filter conditions, for example:

lCountry: United States (+State No. 1)

lGender: Female

lAge group:25-45 years old

lActive status: nearLog in to WhatsApp or receive marketing information within 30 days

lPlatform preference: RegisteredWhatsApp Users

Step 3: Start filtering and wait for the system to complete the detection

The platform will filter out the mobile phone numbers of target users that meet the conditions from existing data sources based on the conditions you set, and perform deduplication, label classification, and status verification.

Step 4: Export the data and put it into actual use

Filter results can be used for:

lWhatsApp marketing system: add friends, send private messages in groups

lTargeted upload of Facebook ads (number delivery)

lSMS platform: Send registration link or coupon

lTelephone pin system: used for outbound call packet list

 

These practical problems can be solved after filtering

question1: The click rate of mass sending is low, and many people are not interested

Solution: Use female tags+ Users over 25 years old, only sent to potential customers, and the click rate doubles.

question2: The account is always blocked, and no response is sent to the message

Solution: Only send to the system to identify it asNumbers that are "active in the past 30 days" will reduce invalid sending and being reported.

question3: The same batch of numbers are used to run to multiple platforms, and the repetition rate is too high

Solution: According to the binding platform (such asWhatsApp, Telegram, iMessage) tags, classified and used to improve efficiency.

question4: The advertising budget is not accurate enough, and the money burning is ineffective

Solution: After filtering the target group, use your mobile phone number to customize the group, upload it accurately to the advertising system, and improve the hit rate of delivery.

 

What are the American user tag dimensions supported by Digital Planet?

The current US user tags supported by the platform mainly include:

lGender (male, female)

lAge group (18-24, 25-34, 35-44, 45-60)

lPlatform binding (WhatsApp/Telegram/iMessage/Line/Signal)

lActivity tags (near7 days/behavior in the last 30 days)

lUser preferences (financial, education, e-commerce, encryption, video, etc.)

lMobile phone number type (mobile operator,VOIP, static registration number, etc.)

Through these tags, you can build highly segmented user pools, such as:

lAmerican women,User data over 30 years old, bound to WhatsApp, and respond to e-commerce advertising

lUSAMen under 25 years old, community traffic users who use Telegram and have interacted in the past 7 days

 

Conclusion: Don’t blindly invest, first filter the data before you can transform it

In the US market, it is not that you have no budget or that you have no creativity, but that you have no creativity.Counted to the wrong person.

Now, by Digital Planet Number Screening and Detection Platform, you can filter out the target users at the starting point: who is an active user, who is bound to the platform, who is a woman, and who belongs to the age group you want to place...

Only when the data is selected correctly can the conversion be easy. If you're looking for it tooTrue, filterable, labeled U.S. mobile phone number data, welcome to contact the platform customer service to obtain free samples and personally verify the screening effect.

 

Digital PlanetIt is a world-leading number screening platform that combinesGlobal mobile phone number segment selection, number generation, deduplication, comparison and other functions. It supports global customersBulk numbers from 236 countriesFiltering and testing services, currently supportedMore than 40 social and apps, such as:

whatsapp/line, twitter, facebook, Instagram, LinkedIn, Viber, zalo, Binance, signal, skype, DISCORD, Amazon, Microsoft, Truemoney, Snapchat, kakao, Wish, GoogleVoice, Botim, MoMo, TikTok, GCash, Fantuan, Airbnb, Cash, VKontakte, Band, Mint, Paytm, VNPay, Moj, DHL, Okx, MasterCard, ICICBank, Bybwait.

The platform has several features, includingOpen filtering, active filtering, interactive filtering, gender filtering, avatar filtering, age filtering, online filtering, accurate filtering, duration filtering, power-on filtering, empty number filtering, mobile device filteringwait.

Platform providesSelf-sieve mode, sieve mode, fine-sieve mode and custom mode, to meet the needs of different users.

Its advantage lies in the integration of major social 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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