Complete the 4-step screening of the Indian LinkedIn opening! Accurately position the B-end target customer

The operation of opening screening in LinkedIn India is not complicated, but it wants to accurately locate it in massive data.Many people take detours for B-end target customers. In fact, as long as you master the correct process and cooperate with good platform tools, such asDigital Planet Number Screening and Detection System, justThe screening can be completed quickly in 4 steps and extract the most valuable target customers.

Step 1: Upload or call the Indian number packet

Whether you get an Indian phone number from an external channel or a potential clue from your own platform or advertising channel, as long as it is a mobile phone number, it can all be uploaded to the Digital Planet Platform detection system. If you don’t have data in your hands for the time being, you can also directly call the Indian data pool provided by the platform, and support the selection of initial goals according to the dimensions of region, industry, gender, etc.

The first key step in opening screening in India is to let the system know which numbers you want to detect. The platform will automatically deduplicate and clean the format to ensure that every number can pass the detection process normally and avoid data waste due to format problems.

There is a service provider who works for cross-border recruitment, every time it is uploadedAfter 300,000 Indian mobile phone numbers were completed through the platform, about 284,000 of them entered the formal inspection process, with very high overall efficiency.

Step 2: One-click detection of LinkedIn activation status Get effective results quickly

Next is the core step——India LinkedIn has launched the detection logic for screening. The platform will automatically determine whether each number is bound to a real LinkedIn account. It is not just as simple as looking at the registration status, but it will deeply identify the account's activity, avatar status, position filling, registration area and other information.

The entire process does not require manual operation, just click"Start detection", the system can return to the detection status of all numbers in a short time, and automatically label it with the tags "Activated", "Not Registered", and "Suspected Invalid".

One works overseasCustomers of IT service promotion reported that they used the platform to detect 60,000 pieces of data, which took less than 10 minutes to complete, and could directly see the "opening rate" and job coverage, saving a lot of time for subsequent screening.

Step 3: Tag combination filter customer base Accurately target core audiences

After completing the basic testing, the real important thing is the screening process. The platform supports users to conduct accurate screening of the Indian LinkedIn opening through multiple tags and multiple conditions. These filtering dimensions include, but are not limited to:

lnation/City positioning (such as Mumbai, Bangalore)

lJob keywords (such asCTO, Buyer, Founder)

lIndustry classification (such as e-commerce, manufacturing, education)

lDo you have an avatar/Company Information/Active Behavior

For example: You can filterThe "Bangaluru + jobs including procurement + LinkedIn has been activated + real avatar" group, as a high-potent B-end buyer pool, the platform can also display the number and portrait proportion of this group in real time.

There is a company that exports smart hardware, and use this method to screen outMore than 3,200 precise customers and through subsequent LinkedIn and WhatsApp, they successfully won the first batch of B2B orders in the Indian market, opening up the initial bottleneck of the channel.

Step 4: Export the data and apply it directly Multi-scene landing marketing link

The filter results are not used"Look at it" is used for practical experience. The Digital Planet Platform supports one-click export of target customer data packets, the format is CSV or Excel, and also provides API docking function, which can be directly pushed to WhatsApp mass sending system, LinkedIn private message system, email marketing tools or CRM clue pool.

This function is especially suitable for teams who do automated marketing and have heavy customer reach processes. pass"India LinkedIn launches filtering", what you get is not just a number, but a customer entity with a portrait, a label, and direct action.

There was once aThe B2B sales person screened out more than 4,000 LinkedIn accounts at the level of Indian technical supervisors using the platform, and directly connected to their CRM system and assigned them to a team of 10 people for offline call and online contact. He completed the preliminary follow-up of more than 80 sales opportunities within two weeks.

Do it step by step In fact, screening is not difficult

If you still thinkThe process of "India LinkedIn launching filtering" is complicated, so you might as well review these 4 key steps:

Upload data → Detect the activate status → Multi-label filtering → Data export and use
As long as you have data, goals, and can judge customer profiles, everything else can be handed over to the platform to complete.

Instead of spending time checking whether LinkedIn accounts exist one by one, it is better to use an automated detection tool like Digital Planet to directly skip inefficient steps and find people who can communicate and convert in one step.

If you are preparing to enter the Indian market, or already have a lot of number data but don't know where to start, then you might as well start from hereStep 4 to try to do a real filter.

Come to the platform to experience it, maybe there is the next big customer hidden in the number you have on hand now. Accurately screening people and quickly implement them, making marketing easier to start.

 

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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