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The value of data launched by LinkedIn in the United States is that it can help companies accurately target active business users. If you can further obtain the bound or associated with these LinkedIn usersphone number, whether used for SMS notifications,WhatsApp will be more accurate and efficient in its reach or social media advertising. The real challenge is not whether there are these users, but how to find themOpened by LinkedIn, USAThe real, in-use and reachable number behind the user.
Why do you need to locate the mobile number of users who have opened in LinkedIn in the United States?
As a global workplace social platform, LinkedIn has particularly covered a large number of high-quality business people, professional talents and decision makers in the United States. For going out to seaFor B2B companies, study abroad service agencies, recruitment platforms or SaaS product manufacturers, if they can reach these users, it will directly affect marketing effectiveness and sales efficiency. "Linking In has been activated" itself means that this user is active, has identity authentication, and is in a real business environment.
But it is far from enough to know that a user has opened an account on the LinkedIn platform in the United States. What can really bring about conversion is whether he can reach it?Phone number. After obtaining the mobile phone number, it can be used for access to multiple platforms, such as SMS reminders,WhatsApp follow-up, CRM import, Salesforce outbound call, private domain community traffic diversion and other scenarios.
Where does the original data come from? Find out the user portal first
To find outOpened by LinkedIn, USAThe first step to prepare basic data for the user's mobile phone number. This data can come from multiple channels, such as community collection, page interaction users, advertising clues, event registration, or number packs obtained from third parties.
However, the original status of these numbers is often mixed: some are American numbers but not opened through LinkedIn, some are unknown, and some are even incorrect or repeated. At this time, a systematic screening platform is needed to clean the data and filter out the mobile phone numbers that have been truly opened on LinkedIn in the United States.
Use the Digital Planet Number Screening Detection Platform for Effective Screening
To efficiently screen out the mobile phone numbers of users who have been activated by LinkedIn in the United States, you need to use a professional detection system.Digital Planet Number Screening and Detection PlatformIt specifically supports verification of numbers in many countries around the world, especially with clear rules and models in terms of user screening of social platforms such as LinkedIn.
Enterprises can upload the mobile phone number data to be screened in batches, and the platform will detect it from multiple dimensions, including:
Is it a local American or virtual number
Is it in the network status?
Does it exist in the LinkedIn Active User Database
Is it a high risk segment
After the detection is completed, the platform will automatically mark the status and support filtering.User numbers that meet the same user numbers as "US Number + LinkedIn Activated + Available Status" are both satisfied. This part of the data is the truly usable and convertible precise object.
Practical explanation of the operation process: from import to export
To be a United StatesTaking IT recruitment services overseas companies as an example, they collected 80,000 US mobile phone numbers through advertising channels and prepared to conduct a text message invitation to add WhatsApp information communication. They first import the original number into the Digital Planet Platform, and the unified field format is country code + number before uploading.
The platform is onThe test was completed within 5 minutes and 52,000 valid numbers were found. Further filtering was carried out by the "Linking In" tag, only 28,000 items were left. Of these 28,000, there are 19,000 stable numbers with online status, non-black numbers, and non-fiction numbers. In the end, the company chose to personalize this batch of data, with the average opening rate of SMS reaching 27%, while the first reply rate of WhatsApp exceeded 14%.
Through this process, enterprises can screen out the most accurate delivery targets in the shortest time, avoiding unnecessary SMS costs and channel risks.
How to use the data after export? Establish a multi-touch execution model
After the filtering is completed, the exported data will automatically include the following fields: mobile phone number, country, LinkedIn activation status, detection status, available tags, etc. This batch of data can be further connected to the SMS platform,WhatsApp operation system, social CRM, call system, etc.
Some companies will first send text messages or emails to these filtered numbers to confirm the user's initial intention; some companies will directly synchronize toThe Meta advertising platform performs UID matching to complete accurate advertising delivery; the customer service team also imports this data into SCRM and arranges manual follow-up in batches.
A batch of qualifiedOpened by LinkedIn, USAMobile phone numbers, after filtering, not only become targets that can be placed, but also have potential"Business Opportunity Pool".
Screening accuracy affects deliveryROI, platform rules need to be understood
Whether the data is screened accurately directly affects subsequent marketing performance. Ordinary platforms often can only detect whether the number is on the Internet or whether the format is correct, and cannot determine whether it is a user that has been activated in LinkedIn. andDigital Planet PlatformBuilt-in social platforms (such as LinkedIn,Facebook, WhatsApp) rules system for opening status.
The platform judges based on behavior history, account activity time, registration area matching, etc."Whether to open it through LinkedIn" and form the final screening criteria based on the number activity. This method not only improves the accuracy rate, but also avoids the problems of "misjudgment, miss judgment, and repeated judgment" in traditional detection methods.
If you just export the number to send a group, it will lead to high channel failure rate, surge in sending costs, blocked account, and data pollution. Instead of repairing downstream, it is better to use an accurate screening upstream to directly improve the efficiency and performance of the entire link.
Behind the number is people, behind the filtering is strategies
The idea of finding the mobile phone number of users who have been activated in LinkedIn, the United States is not just a technical problem, but also a data strategy problem. If you already have some numbers but don’t know which ones are really worth using, or if the source of the data in your hands is uncertain, you can also start from the screening platform to verify the data quality and make more effective judgments.
Digital Planet Number Screening and Detection PlatformIt not only supports number detection, but also supports functions such as tag management, group export, historical data comparison, and list update, helping enterprises establish a complete set of user screening and reaching mechanisms. Every time the number is sifted out, it is an opportunity to convert, especially in a highly competitive market like the United States.
If you also want to find those American users who have truly opened LinkedIn and are real, you might as well try using Digital Planet Screening for a round. Let data truly serve marketing, not become a barrier to marketing.
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:
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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