How to match user numbers when opening data in the United States LinkedIn? How to use the screening and testing platform

The data on LinkedIn US is an important basis for enterprises to judge user identity and filter target customers, but the separate activation information is not enough to support direct contact. Only the activate status andUser numberOnly by matching effectively can we further complete SMS notifications,WhatsApp private messages, social advertising and other marketing actions. Many companies have been stuck at the key node of "no number found" after obtaining LinkedIn-related user data. At this time, you need to pass the screening and testing platform,Opened by LinkedIn, USAThe data and number information are integrated to build an actionable user database.


The significance of matching status and number in the United States LinkedIn opening status

Whether a user opens an account on the LinkedIn platform in the United States is the first threshold to judge its authenticity and social value. Especially inIn B2B marketing, industry talent pool construction, career service promotion and other scenarios, the user's LinkedIn activation status directly reflects his or her professional background and information integrity.

But this information is often isolated: on the one hand of LinkedIn data and on the other hand of mobile phone number data. OnlyOnly by successfully matching the "Start of LinkedIn in the United States" and "Available Mobile Number" can the available resources be truly screened out.

I went overseas with a remote office softwareSaaS companies are used as an example. They collected a batch of LinkedIn registered users’ UID data through overseas advertisements, but if they want to promote sales, they must match their mobile phone numbers. They usedDigital Planet Number Screening and Detection PlatformWillUID+ number data was uploaded together, and the platform successfully helped them to screen out 3,800 of the contacts with LinkedIn and normal number status, and the conversion rate increased by more than 60%.


How to operate? Import format determines filtering efficiency

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

userUID (optional)
Mobile phone number (with country code, such asStarting with +1)
Country or Region field (optional)
Register source or tag field (optional)

Digital Planet PlatformSupports batch data import, automatically recognizes LinkedIn's activation status and judges based on the validity of the number. When importing, it is recommended to place LinkedIn user information and number fields in the same table, which is not only convenient for system identification, but also facilitates subsequent comparison and analysis.

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


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

In the digital planet number screening detection platform, the matching screening between LinkedIn and number is mainly completed through three-layer logic:

The first layer is the number validity detection, which determines whether the number is a real American mobile phone number on the Internet.
The second layer is the status judgment of LinkedIn to identify whether the user is"Linking In Activated" Status
The third layer is behavioral tag identification, such as whether there are active access, whether it is a virtual registration, and whether it is abnormal and frequent changes.

In the final output result, each piece of data contains status marks of these dimensions, and users can clearly see at a glance which high-value data can be used directly and which inefficient data that needs to be reviewed or not recommended for the time being.


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

After completing the matching filtering, the platform supports conditional filtering and custom export of the results. You can choose to export onlyThe user list of "US Number + has been activated LinkedIn + is in normal status" can also be initially grouped according to the user industry or label for easy subsequent release.

For example, you plan to do a scene for the United StatesWhen sending SMS by B2B decision makers, only users with "normal status + industry label IT + LinkedIn" can be exported from the filter results, and then they can cooperate with the SMS platform to execute batch reminders.

You can also use these numbers with LinkedInUIDs are imported into WhatsApp multi-opening system, conduct batch private messages and invitations, and then continue to filter out interested customers based on user responses.

Many companies will upload this data toIn the Meta advertising system, precise advertising targeting is performed as a custom audience. The numbers detected by the platform have extremely high matching rates with UID, which can significantly improve advertising 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 American study abroad agency services uses the Digital Planet platform to use the Digital Planet platform to import the initial user data.30,000 contact information were screened. It was found that although 25,000 numbers were in the US segment, only 12,000 of them were opened for pass accounts on LinkedIn and were in good active status.

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


How to maintain the long-term effectiveness of filtered data

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

This will continue to maintain aThe stable database of "Enabled + Valid Numbers in the United States" supports the use of the latest and most reliable user data for each event, advertisement, and contact action to avoid repeated waste.

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


Not just checking a number, but building a path to reach

Many companies think"Matching numbers" is just a process of data search. In fact, behind this step is the entire business conversion path: from identity confirmation activated by LinkedIn, to the effectiveness of number screening, to user hierarchical management and private domain operation action design.

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

If you are also sorting out LinkedIn data related to the United States, you might as well upload a batch of numbers to try filtering. The chaotic data pile that screens out the truly available, transformable, and willing to communicate is the breakthrough for your business growth in the next stage.

 

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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