Telegram number screening and activity detection

In the era of digital marketing,As a popular communication tool, Telegram has become an important platform for enterprises to interact with users. In order to improve user interaction and marketing efficiency, it is crucial to understand how to screen Telegram numbers and detect their activity. Today, we will take you to easily understand how to filter Telegram numbers and detect activity through Digital Planet, making your marketing more accurate and efficient.

Why filter and detect activity?

Imagine you are sending a well-crafted marketing message, but the recipient is simply inactive or even an invalid number. This not only wastes resources but may also affect marketing effectiveness. filter out activeTelegram users can ensure your messages are sent to the right target group, increasing engagement and conversion rates.

The power of digital planet

As an intelligent data analysis platform, Digital Planet provides a variety of screening and detection tools to help you easily achieveScreening and activity detection of Telegram numbers. The following are several major features of Digital Planet:

1. Activation screening: Quickly identify and screen new users through activation screening, and effectively manage user groups.

2. Active filtering: Filter based on user activity to ensure that marketing resources are concentrated on the most active users.

3. Interaction screening: Screen out users who interact with the brand frequently and develop targeted interaction strategies.

4. Precise screening: Through multi-dimensional data analysis, precise screening and management of users are achieved.

How to filter Telegram numbers?

Step 1: Data import

First, add yourTelegram user data is imported into the Digital Planet platform. Digital Planet supports multiple file formats, such as CSV, Excel, etc., to facilitate and quickly complete initial data preparation.

Step 2: Set filter conditions

Set filter conditions based on marketing needs. For example, you can set parameters such as user activity and interaction frequency. Digital Planet's multi-dimensional data analysis capabilities can help you define these conditions precisely.

Step 3: Perform filtering

Click"Start filtering" button, Digital Planet will automatically perform the filtering process and filter out Telegram numbers that meet the conditions. During the screening process, the system will analyze the data of each number to ensure the accuracy of the screening results.

How to conduct activity detection?

Real-time detection

Digital Planet’s real-time detection function can monitor users’ online status and active time. Through the online filtering function, you can detect currently online users in real time and push marketing information in a timely manner to increase the interaction rate.

behavioral analysis

Through in-depth analysis of user behavior, Digital Planet is able to identify high-value user groups. Behavioral analysis covers users’ message sending frequency, interaction habits, etc., helping you accurately locate target users.

Regular assessment

Regularly use Digital Planet’s activity detection tool to evaluate user activity and dynamically adjust marketing strategies. In this way, you can always maintain focus on active users and improve marketing effectiveness.

via digital planetWith Telegram number screening and activity detection, you can more accurately locate target users and increase interaction and conversion rates. It not only saves resources, but also ensures that your marketing information reaches the users who need it most, making your marketing activities more efficient and interesting. Digital Planet makes precision marketing so easy!

digital planetis a world-leading number screening platform that combinesGlobal mobile phone number segment selection, number generation, deduplication, comparison and other functions. It provides global customers with bulk numbers supporting 236 countriesScreening and testing services, currently supports more than 40 social networks and applications, such as: