Best practices for Web3 user screening: Blockchain data filtering empowers precision marketing.

Managing a large number of accounts is cumbersome? The system offers self-screening, proxy screening, and detailed screening modes, allowing operations teams to efficiently manage accounts in bulk and improve marketing efficiency.

In the early stages of overseas Telegram marketing, "manual screening" was the only way to screen Telegram accounts - operators stared at the screen to judge whether the account was valid and whether the user was a match, which was not only inefficient, but also often resulted in missing out on high-quality customers due to subjective errors.With the development of technology, TG screening has entered a new era of intelligence: through intelligent TG screening tools, enterprises can say goodbye to tedious manual operations and achieve precise matching between user needs and products;

Relying on ITG's comprehensive screening tool, this intelligent TG screening tool can leverage AI algorithms and multi-dimensional data analysis to achieve a leap from "manual fuzzy judgment" to "intelligent and precise positioning," thereby improving both TG marketing efficiency and conversion rates.This article will start from the limitations of manual screening and explain in detail how ITG's full-domain screening leads TG screening into the intelligent era, helping enterprises achieve precise user positioning.Before the advent of intelligent tools, manual Telegram screening was a standard practice in overseas marketing. However, this method has three major limitations that are difficult to overcome, making precise user targeting a pipe dream.

The conflict between scale and accuracy: In order to meet marketing deadlines (such as Black Friday and Christmas), manual screening is often forced to "simplify the process" and only judge "whether registered" while ignoring the matching of user needs, resulting in a significant drop in accuracy;Blind spots in manual judgment: Users can only be identified through surface information such as "avatar, nickname, and signature," and cannot obtain deeper data such as "interests, preferences, consumption tendencies, and demand stages," leading to positioning errors;

Enterprises can use ITG to achieve a leap from manual to intelligent TG screening, without the need for complex technologies, and complete accurate user positioning in 3 steps:

After accurate positioning, it needs to be combined with operational actions (such as pushing content by tags and following up according to demand stages) to form a closed loop of "positioning - operation - conversion", otherwise the positioning results cannot play a valuable role.The system supports unified account management across multiple platforms, allowing for bulk filtering of social media accounts such as Telegram, WhatsApp, Facebook, and LinkedIn to maximize marketing efficiency.

Combining age, gender, and activity level filtering, the system precisely targets user groups, making social media marketing more efficient and achieving higher conversion rates.The cloud-based control system automatically removes unused and anomalous accounts to ensure clean marketing data, while also integrating interactive filtering to enhance marketing precision. The system can filter accounts by online time, device status, and interaction frequency, allowing operations teams to monitor high-value user activity in real time and optimize marketing strategies.

Batch export of filtering results allows for easy management of Telegram, WhatsApp, LinkedIn, and Facebook accounts, making teamwork more efficient and data more transparent.The cloud control system offers customized modes for flexible filtering by age, gender, activity level, and interaction frequency, meeting the marketing needs of various business scenarios.