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The mobile phone numbers of users who have been opened in LinkedIn, the United States are a high-value social data. Accurate identification of these numbers can not only improve access efficiency, but also help companies directly target target users who have professional identities and truly use LinkedIn in the United States. How to filter out these through standardized processes in massive mobile phone number dataOpened by LinkedIn, USAThe valid number of users is for every person who does overseas operations and goes overseas.Practical skills that SaaS, B2B sales or talent service teams must master.
Confirm the data format first, and unify the criteria before filtering is more critical
Many companies often ignore the most basic but important step before screening numbers.——Sorting data format. If the uploaded data has inconsistent national code, confusing field naming, and abnormal number structure, it will directly affect the subsequent screening efficiency and accuracy.
For more accurate screeningOpened by LinkedIn, USAUser numbers are recommended to use the following standard formats for sorting:
All numbers must be US number segments (Starting from +1), and adopts the "+1+ mobile phone number" structure uniformly
It is recommended to use standard English fields, such as"phone", "number", "uid", etc.
Only one user main number is retained in each line to avoid the confusion of multiple contact information and affect the identification.
If additional fields can be added, such as user country, user type, and source channels, the screening efficiency will be further improved
The Digital Planet Number Screening and Detection Platform fully supports the above formats. After importing, it can automatically identify the country code, clear invalid characters, and judge the field content, effectively reducing manual intervention and repetitive labor during the initial screening process.
How to operate after uploading data to the platform? One-click to identify the status of the United States LinkedIn
After the standardized data is prepared, the numbers can be imported into the digital planet number screening and detection platform in batches. The platform will detect each number based on the system's built-in multi-dimensional rules to determine whether the number is:
A native number (non-virtual segment)
In normal networking state (non-stop, empty number)
Whether the associated user has opened a LinkedIn account (judged based on the registration record, active behavior and other models)
In this step, the platform's LinkedIn launching the detection model will play a key role. The system will use the backend big data engine to compare the number and the behavior of the LinkedIn platform. If the match is successful, the platform will automatically be called.The "Linking In" tab is enabled.
One does it in Silicon ValleyCompanies that promote SaaS software have imported 60,000 US mobile phone numbers for screening. After the platform automatically identified it, it screened out about 24,000 user numbers that are truly active and have been activated in LinkedIn. They subsequently conducted WhatsApp contact and text message follow-up visits on this batch of numbers, and the follow-up visits within three weeks converted 1,263 potential customers.
How to export and group management based on detection results
After the detection is completed, the system will provide a detailed selection of the results, including:
Phone number
Is it a US number?
Is it in the network status?
Whether to open a LinkedIn account
Availability tags (high active, medium active, low active)
These results not only support exporting as Excel can also directly do "tag filtering" within the platform, such as exporting only the user list of "US Number + Activated LinkedIn + Online Status".
The Digital Planet Platform also provides data grouping functionality, you can create a"Linking In Conversion Pool" continuously superimposes or updates data in the future. There is no need to upload old data repeatedly. The system will automatically deduplicate and update.
For teams such as advertising, lead distribution, sales distribution, etc., this kind of classified management structured data greatly improves collaboration efficiency and is convenient for future development. ROI backtracking and conversion rate analysis.
How to apply filtering data to business scenarios? A few real examples illustrate the value
A overseas team that provides telemedicine services to the US market has screened out a group of them through the Digital Planet PlatformThe number group of "U.S. LinkedIn launches + medical industry positions". They used data for targeted SMS promotion, LinkedIn message invitations and Meta ad placement, with an ad click-through rate of 4.8%, far higher than the platform's average performance.
Another recruitment agency screened outAfter 8,000 numbers that meet the conditions, three rounds of job recommendation communication were conducted in cooperation with the voice robot, which eventually led to nearly 300 people entering the initial process. For them, the key is not to get more numbers, but to get people who are "accurate and open LinkedIn".
This shows that doing overseas social media and precise marketing is not about making huge efforts, but about selecting people accurately. The filter accuracy determines the hit rate of each message.
Pay attention to these details and the screening process will be smoother
Remove spaces and special characters before importing, otherwise some numbers will fail to be recognized.
Ensure that number fields are named uniformly to avoid"Mobile phone number", "phone number", "number" and other naming confusions
If there are user type or source channel fields, upload them together, it will be beneficial to the platform to label behavior.
In the case of large amount of data, it is recommended to upload it in batches to facilitate the gradual analysis of the results.
The platform supports real-time viewing of detection progress and result return, and can be exported flexibly in batches.
The Digital Planet Platform also supports uploading historical comparisons, that is, automatically identifying detected numbers when detecting new data, avoiding the wasted resources by repeated detection.
LinkedIn is just the starting point, filtering out numbers is the resource that can be activated
A user who has opened LinkedIn in the United States usually means that he has a clear professional identity and high social activity. However, this type of user does not mean that it is accessible. Only by matching the real mobile phone number and filtering out data in good condition can it have the practical significance of being reached.
With the help of the Digital Planet Number Screening and Detection Platform, you can not only determine whether the LinkedIn account is open, but also quickly find an actionable user list. It supports one-click import, one-click detection, and one-click export, which is suitable for daily use by operation, sales and advertising teams.
If you are planning to expand into the US market or collecting LinkedIn related data, you might as well upload the number list at hand, and you may be able to screen out a batch of unexpected things."Hide high-quality users". Leaving the complex verification work to the platform and giving higher conversions to accurate data is the correct way for overseas users to operate.
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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