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How to use data analytics tools to assess LinkedIn user engagement

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The system offers customizable filtering plans to precisely target potential users based on age, gender, interaction frequency, and online time, achieving high ROI.

The system automatically removes unused and anomalous accounts, combining self-screening and proxy filtering to precisely cleanse marketing data and make outreach more efficient.The cloud control system supports customized filtering plans, allowing you to refine your target audience by online time, interaction frequency, age, and gender for targeted outreach.

How to use data analytics tools to assess LinkedIn user engagement

Using active, online, and interactive filtering, you can monitor the status of target accounts in real time, making social media operations smarter and more efficient.The system supports batch export of filtering results, making it easy to manage accounts across various platforms, quickly executing outreach tasks, and improving team efficiency.The cloud control system supports avatar filtering, gender filtering, and age filtering, helping operators quickly identify potential user groups and increase conversion rates.

How to use data analytics tools to assess LinkedIn user engagement

It supports unified cross-platform account management, combining activation and activity filtering to achieve efficient operation of Telegram, WhatsApp, Facebook, and LinkedIn accounts. The system offers self-screening, proxy screening, and detailed screening modes to flexibly meet diverse business needs, making promotions more targeted and efficient.The cloud control system can filter accounts by age, gender, online time, and interaction frequency, enabling multi-dimensional precision marketing and improving social platform operations.

How to use data analytics tools to assess LinkedIn user engagement

The system supports batch generation of mobile phone numbers for Japan, India, Mexico, and the United States, and combines social account activity data to achieve targeted cross-border promotions.

Interaction screening, active user screening, and online screening functions allow you to quickly identify high-value users, making social media marketing more efficient and precise.In traditional customer acquisition, businesses only use basic verification to determine whether a number is an "inactive or dead number," but they cannot obtain basic attribute data of potential customers.

Before using the Telegram number screening platform, a cross-border e-commerce company pushed 3C product information to 100,000 "valid numbers". However, due to the lack of understanding of customer age segmentation, it pushed digital products targeting younger customers, resulting in a conversion rate of only 0.7%, far lower than the industry average of 2.5%.ITG's comprehensive filtering platform, as an excellent Telegram number filtering platform, is not simply a "number filtering tool." Instead, it helps businesses gain a comprehensive understanding of potential customers through three core capabilities: "basic data extraction, behavioral data analysis, and trend data prediction."

A good Telegram contact filtering platform can not only analyze existing data, but also help businesses anticipate the behavior of potential customers through trend prediction.A good Telegram number filtering platform is far more than just a "number filtering tool"; it's a "data hub" for businesses to gain insights into potential customers—it can clearly identify "who the customers are" through basic data extraction.

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