How to match US LinkedIn activation data to user numbers? How to use the screening testing platform

U.S. LinkedIn activation data is an important basis for companies to determine user identities and screen target customers, but activation information alone is not enough to support direct contact. Only by combining the activation status withUser numberEffective matching can further complete SMS notification,WhatsApp private messages, social advertising and other marketing actions. After obtaining LinkedIn-related user data, many companies are stuck at the critical point of "cannot find the number." At this time, it is necessary to pass the screening detection platform toLinkedIn opened in the United StatesData and number information are integrated to build an operational user database.


The meaning of matching the US LinkedIn activation status and number

Whether a user has an account on the US LinkedIn platform is the first threshold to judge its authenticity and social value. especially inIn scenarios such as B2B marketing, industry talent pool construction, and professional service promotion, a user's LinkedIn activation status directly reflects their professional background and information integrity.

But this information is often isolated: LinkedIn data on one side, and mobile phone number data on the other. Only willOnly when "US LinkedIn activation status" and "available mobile phone number" are successfully matched can the available resources be truly filtered out.

Going overseas with a certain remote office softwareFor example, SaaS companies have collected UID data of a batch of LinkedIn registered users through overseas advertising, but if they want to promote sales contact, they must match mobile phone numbers. they usedDigital Planet Number Screening and Detection PlatformWillUID + number data were uploaded together, and the platform successfully helped them screen out 3,800 contacts who had opened LinkedIn and had normal number status, and the conversion rate increased by more than 60%.


How to operate? Import format determines screening efficiency

When matching LinkedIn activation status and number, the first step is to build a compliant data structure. The following fields are generally recommended:

userUID (optional)
Mobile phone number (with country code, such as+1)
Country or region field (optional)
Registration source or label field (optional)

Digital Planet PlatformSupports batch data import, automatically identifies LinkedIn activation status and judges based on number validity. When importing, it is recommended to put the LinkedIn user information and number fields in the same table, which not only facilitates system identification, but also facilitates subsequent comparative analysis.

If your raw data is stored separately, for example one file is LinkedInUID, another file is the mobile phone number library, which can be merged through data table association or cleaning tools before uploading. In this way, the platform can achieve one-click screening and output matching results.


How does the platform detection logic work? Three dimensions to judge user effectiveness

In the Digital Planet number screening and detection platform, the matching and screening of LinkedIn and numbers is mainly completed through three layers of logic:

The first level is number validity detection, which determines whether the number is a real U.S. mobile phone number online.
The second layer is LinkedIn status judgment, which identifies whether the user is"LinkedIn is open" status
The third layer is behavioral tag identification, such as whether there is active access, whether it is a virtual registration, and whether there are abnormally frequent changes.

In the final output, each piece of data contains status markers for these dimensions. Users can clearly see at a glance which data is of high value that can be used directly, and which is inefficient data that needs to be reviewed or is not recommended for use.


How to use the filtered data? Export from list to multi-platform implementation

After completing matching filtering, the platform supports conditional filtering and customized export of results. You can choose to export onlyThe list of users with "US number + LinkedIn activated + normal status" can also be preliminarily grouped according to user industry or label to facilitate subsequent use.

For example, if you plan to do a show for the United StatesFor B2B decision-makers to deliver text messages, you can export only users with "normal status + industry label as IT + LinkedIn activated" from the filtering results, and then cooperate with the SMS platform to execute batch reminders.

You can also connect these numbers with LinkedInThe UID is imported into the WhatsApp multi-open system to conduct batch private message invitations, and then continues to filter out interested customers based on user responses.

Many companies will also upload this data toIn the Meta advertising system, ads can be accurately targeted as a custom audience. The number and UID detected by the platform have a very high matching rate, which can significantly increase the ad hit rate and CTR.


Real case: How to use the platform to complete the linkage management of numbers and LinkedIn status

A company that provides intermediary services for students studying in the United States uses the Digital Planet platform after importing the initial user data.30,000 contact details were screened. The results found that although there were 25,000 numbers in the United States, only 12,000 of them had users with approved accounts on LinkedIn and were in good active status.

They finally ended up with thisBased on 12,000 pieces of data, traffic was channeled through a combination of SMS push + LinkedIn private messages. More than 3,800 people clicked on the event page, and more than 600 people left consultation information. Compared with the early casting-net model, the overall conversion rate increased by nearly three times.


How to maintain the long-term validity of filtered data

After matching once, it does not mean that the data can always be used. The platform supports historical detection record management and regular update and filtering functions. Enterprises can re-upload updated data once a month, and the platform will automatically identify and screen data that is different from historical records.

This way you can continue to maintain aThe stable database of "US LinkedIn activation + valid number" supports the use of the latest and most reliable user data for each activity, advertisement, and touch action to avoid duplication and waste.

Enterprises can also create multiple sets of screening rules for different purposes, such as one set for customer invitations, one set for talent recruitment, and one set for industry research, and export different fields and labels respectively to truly realize refined operations based on the screening results.


Not just checking a number, but building a contact path

Many companies think"Matching numbers" is just a process of checking data. In fact, behind this step is the entire business transformation path: from identity confirmation for LinkedIn activation, to validity judgment of number screening, to user hierarchical management and private domain operation action design.

With the help ofDigital Planet Number Screening and Detection Platform, enterprises can complete LinkedIn status identification, number cleaning, data marking, field export and subsequent delivery connection at one time, completely opening up the complete path from user identification to effective communication.

If you are also sorting out US LinkedIn-related data, you might as well upload a batch of numbers for screening. Screening out the group of people who are truly usable, capable of conversion, and willing to communicate from the chaotic data pile will be the breakthrough for your business growth in the next stage.

 

digital planetis a world-leading number screening platform that combinesGlobal 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:

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, precise filtering, duration filtering, power-on filtering, empty number filtering, mobile phone device filteringwait.

Platform providesSelf-screening mode, generation screening mode, fine screening mode and customized mode, to meet the needs of different users.

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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