What are the practical methods for how to find filtering data in LinkedIn India

India's LinkedIn launches filtering data is an important part of overseas marketing, especially for hope.For users who may lock in high-quality customers in B2B tracks, accurately screening out Indian users who have already opened LinkedIn means that the quality of clues will be significantly improved. Many people are confused: How to find these data? Do you need to collect it yourself? In fact, as long as you master the correct method, use the help ofDigital Planet Number Screening and Detection PlatformSuch a tool is not complicated.


Where does the data come from? Either you can find it casually or “activate data”

Many people think that just by looking for some Indian phone data online and linking it to LinkedIn is considered"India LinkedIn launches screening" successfully, but it is actually easy to get into a trap. Because you don't know whether these numbers are really bound to LinkedIn accounts, let alone whether they are active.Digital Planet PlatformSupports direct import of Indian numbers on your hand, and can also call the existing database on the platform. The system will automatically detect whether these numbers have been enabled for LinkedIn, and can also mark the registered region and account activity level, so that"Opening" is truly well documented.

Some users bought it from the marketAfter the platform inspection, there were 300,000 Indian phone numbers, which were actually bound to LinkedIn and passed, accounting for about 16.7%. Most of the remaining data are invalid, duplicate, or no social media registration numbers. If this link is not detected and directly importing the system to send messages will not only waste resources, but may also cause the account to be blocked due to high rebate rate.


How to determine whether the data is "activated"? The right platform is key

The so-calledThe key to "India LinkedIn launches filtering" lies in the word "screen". The detection logic of the digital planet is very clear: through the simulated LinkedIn login interface, it matches multiple dimensions such as the binding status of the mobile phone number, whether the account is accessible, whether it has a real avatar, and the completeness of the data. The platform will automatically classify the detection results, including the three types of tags **"Active", "Suspectedly activate", and "Unregistered". You can even further refine, filter out the account with company information and job description, and then combine it with industry fields to make more accurate delivery.

There is a customer who does software service outsourcing, and through this function, it has been screened.100,000 users of LinkedIn India were launched, and finally 3,000 accounts with "CTO" and "Technical Lead" tags were selected. They were subsequently used for LinkedIn automatic private messages and email follow-up, and the conversion rate increased by more than 80%.


How to screen? How to find it? Fine screening is more important

It is not enough to just know which users have enabled LinkedIn, it is necessary to do it"India LinkedIn launches screening", the target population needs to be extracted through tags. For example, when you do an education project, you can screen out users with keywords including "student", "graduate", and "edtech" from the Digital Planet Platform, and then use the platform's gender, age, and industry classification system to form a complete target group pool.

The filtering function supports composite tag combinations, for example:
You can filter** Numbers such as "located in Bangalore", "Position is IT", "Linking In" and "Avatar is Real People", so the users screened out are more likely to be "behaving" real people. The platform's AI tag system will automatically match positions and industries, thereby improving screening efficiency.

A native IndianSaaS project operators adopted this method and finally screened out more than 2,000 high-quality potential customers. Later, they successfully won more than 30 enterprise-level customers through two-way access through WhatsApp and LinkedIn.


Where can I use the data after sifting out? Don't just think about exporting it

After sifting through the data, many people's first reaction is to export and see the results and put them inSlowly organize it in Excel. In fact, this is just the primary usage. Digital Planet Platform ProvidedAPI and one-click docking functionYou can directly filter out theThe results of "India LinkedIn Activation Filtering" are pushed to your private domain system, such as CRM, WhatsApp mass sending system, email marketing platform, etc., to achieve clue circulation and instant use.

For example, there are cross-border users who filter out the10,000 Indian LinkedIn users were directly imported into WhatsApp automatic marketing system, completing three rounds of private chat invitations within a week, and finally completing 500+ conversions, with ROI far exceeding the traditional advertising delivery method.

Not only that, the platform will also record the historical data of each batch of inspections, and support post-tracking and updates, such as whether the user has updated his avatar and whether he has changed his career, so that the user's portrait can be continuously improved.


The key is to choose the wrong tool, not choose the wrong tool

Many so-calledThe "sieve tool" is still in the low-dimensional stage, but it only detects whether a certain platform is registered. It cannot be done like a digital planet.LinkedIn behavior dimensions, open pass status, portrait segmentation and filteringMulti-level judgment. If you're doing"India LinkedIn has launched screening", choosing the wrong tool means that your entire conversion chain may be wasted in the later stage.

Nowadays manyB-end sellers, outsourcing companies and consulting service agencies have taken the Digital Planet Platform as the core data transfer system, directly locking high-potential customers passed by LinkedIn through screening tools, improving clue quality and conversion efficiency, and saving a lot of testing costs.


Some information: detection frequency and recommended usage scenarios

It is recommended to doUsers who "India LinkedIn launch screening" will perform full-scale and incremental inspections regularly every month. For example, if you have a batch of new numbers every week, you can import the new import platform for testing and continuously expand your "enabled database".

Scenarios that are more suitable for using this function include:

l LinkedIn marketing and private message promotion

l Precise filtering before mass sending WhatsApp

l Initial screening of overseas electronic sales list

l B2B industry crowd collection

l Prediction before importing third-party CRM clues


Not only the screening number, but also the right direction

When doing overseas business, especially wanting to enter the Indian market, it is far from enough to rely on advertising and channels alone.India LinkedIn launches filterLet you find the real one from the source"People online". The Digital Planet Platform provides not just a screening tool, but more like yoursData Warfare Center, help you classify customers in advance, find the right path, and reduce trial and error.

If you also want to try these functions, please come to the customer service. The free trial version can experience the detection and screening functions. Don’t wait until the budget is spent to realize that sifting people right from the beginning is the lowest cost method.

 

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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