Complete Guide to TG Active Screening in 2026: Definition, Window, Export, and Marketing Value

In cross-border customer acquisition practice in 2026, TG active screening has become a core factor determining promotion costs and reach efficiency. Whether you’re targeting precise direct messages for ToB SaaS or new product notifications for cross-border e-commerce, choosing “active users” over mere “registered users” directly impacts your conversion rate and the risk of account bans. This article will thoroughly break down the principles and strategies of Telegram active screening—from technical definitions and active window mechanisms to batch operation workflows and practical scenarios—helping you build a reusable, high-quality number screening system.

What is Telegram Activity? — Definition and Marketing Value of Active Users

Telegram activity refers to detecting whether the Telegram account corresponding to a target number has engaged in effective interactions (such as logging in, receiving/sending messages, or calling APIs) within a specified time window (e.g., the last 7 days, 15 days, or 30 days). It is a completely different screening level from “registration check” and “validity check.”

The Three Key Screening Indicators: Registration, Validity, and Activity

Indicator Type	Detection Content	Application Scenario	Marketing Value
Registration Check	Whether the number is registered with Telegram	Basic verification, number cleaning	Low – only confirms existence
Validity Check	Whether the number can receive messages (not immediately bounced)	Number cleanliness assessment	Medium – ensures message deliverability
Active Check	Whether there has been login/interaction recently	Precision targeting, active user engagement	High – boosts open and interaction rates

Taking a practical scenario: even if a number is “registered” and “valid,” if the user hasn’t logged into Telegram for 180 days, any direct message you send will most likely be ignored. TG active screening helps you eliminate these “zombie numbers” and concentrate your limited budget on users who are likely to respond in the near term.

Why is TG Active Screening More Important in 2026?

In 2026, Telegram’s anti-spam policies continue to tighten, and users’ tolerance for irrelevant private messages is declining. Meanwhile, user attention is highly fragmented, so even if a push reaches them, open rates face challenges. In summary, high-quality TG active data is irreplaceable in three aspects:

• Reducing account ban risk: Sending large volumes of messages to accounts that have been inactive for a long time can easily trigger the platform’s anti-spam model, leading to restrictions or bans on your sending account.
• Improving open and click rates: Active users are more psychologically receptive to messages. Those who log in daily or weekly are more likely to open your message.
• Saving marketing costs: With a per-message charge model for number screening, eliminating a large number of invalid, dormant numbers directly reduces the cost of each ineffective reach.

Once you understand these three levels, you’ll realize that only performing “registration checks” is no longer sufficient for overseas customer acquisition in 2026.

Core Mechanism of TG Active Screening: Active Window and Last Seen Time

How does the platform determine whether a number is “active”? The principle is not complicated: by calling Telegram’s user status API, it checks the user’s last seen time. If the last seen time falls within the time window you set (e.g., 15 days before the current time), the number is marked as “active.”

How Does the Active Window Affect Screening Results and Marketing Strategy?

Common active windows include 7 days, 15 days, and 30 days. Choosing different windows yields significantly different results:

Active Window	Number Count (Relative)	Number Quality	Recommended Marketing Scenario
7 days	Smallest – about 10%–20% of registered users	Very high – users are highly active	DM conversion, time-limited event notifications, paid community invitations
15 days	Medium – about 25%–40% of registered users	High – users are weekly active	Community mass recruitment, content distribution, user re-engagement
30 days	Largest – about 50%–70% of registered users	Medium – includes some users inactive over two weeks	Brand exposure, targeted content pushes, customer service channel notifications

Practical advice: If your marketing goal is “convert within this week,” choose the 7-day window. If you’re recruiting for a community and want a larger base but can accept moderate response rates, the 15-day window offers a better balance. For less urgent brand campaigns, you may consider the 30-day window, but be sure to overlay gender or interest tags to reduce ineffective reach.

Practical Uses and Cautions for the Last Seen Time Data

After screening, you can usually export the “last seen time” field for each number. This field has high secondary application value:

• For scheduling delivery timing: Analyze the distribution of users’ last active times and adjust your direct message sending times to their high-activity periods, significantly improving immediate read rates.
• For account freeze warnings: If a previously active user has not been online for 30 consecutive days, remove them from the high-priority push list to avoid waste.
• For layered operational strategies: Push “early bird discounts” to 7-day active users, “renewal reminders” to 15-day active users, and “new product announcements” to 30-day active users, enabling refined operations.

Important note: The last seen time records a historical activity record – it shows the user’s “most recent” online time, not their “current online” status. Do not mistake it for real-time online sending strategies. The latter requires directly calling Telegram’s user status API, and excessive call frequency can lead to restrictions.

Complete Workflow for Batch Screening TG Active Numbers (Taking KK-DATA as an Example)

Below, we use the KK-DATA platform to demonstrate the complete batch TG active screening process. This workflow covers four key steps from number preparation to export and application.

Step 1: Prepare the Number List to Screen (Generate or Import)

You have two ways to obtain numbers for screening:

Method 1: Global Number Generation (Free)
Use the platform’s Global Number Generator module to randomly generate numbers by country, operator, or number segment. Generation itself is free; you are only charged per check during the screening phase.

Method 2: Import Your Own Numbers
If your CRM or purchased data includes a large number of phone numbers, simply upload them via CSV/TXT file. We recommend filtering them through the Data Dedup Repository beforehand to avoid duplicate checks that waste credits.

Step 2: Select the “TG Active” Detection Type on the Screening Platform

Go to the App Console and enter the screening task module:

1. Select Platform → Telegram
2. Detection Type → TG Active (you can specify the active window from the dropdown, e.g., 7 days, 15 days, 30 days)
3. Upload numbers or select generated numbers
4. Confirm the estimated cost (the console will automatically show the total estimated fee based on the number count and unit price; you cannot submit if your balance is insufficient)

A single task can support up to approximately 1 million numbers. If your number list is larger, split it into multiple tasks.

Step 3: Export Active Data and Apply to Marketing

After the task completes, you can download the result file (CSV or TXT format) from the console, or receive a completion notification via Telegram. The exported data typically includes the following fields:

• Target number
• Active Status (Yes/No)
• Last Seen Time
• tgid (Telegram user ID)
• Gender (if supported by the platform)

After importing the exported active data into your direct message tool or community invitation system, you can deploy a strategy where “higher activity = higher reach priority.”

Best Practices and Common Mistakes in TG Active Screening (2026 Edition)

Many teams tend to go off track in practice. The following three mistakes are particularly common.

Mistake 1: Treating “Registration Check” as “Active Check”

A registration check only verifies whether the number is registered with Telegram, not whether the user is still active. Early cross-border teams used registered numbers extensively for direct messaging, resulting in open rates below 5% and frequent triggering of risk controls. You should prioritize active screening, especially for marketing scenarios that require immediate response.

Mistake 2: Choosing an Overly Large Active Window Leading to Stale Data

For example, using a 30-day active window may yield numbers that include users who haven’t logged in for over 20 days. Their open rates would be significantly lower than those from 15-day or 7-day windows. You should dynamically adjust the window based on your marketing goals: use 7 days for DM conversion, 15 days for community recruitment, and 30 days for brand exposure.

Mistake 3: Ignoring Deduplication Resulting in Repeated Charges

When a number library is reused across multiple tasks without prior deduplication, the same number may be paid for multiple times. Solution: Before each screening, use the Data Dedup Repository to compare with historical detection results and remove already checked numbers, ensuring every cent is spent on “new” numbers.

Best Practice: Combining Gender Recognition with Active Screening

Some screening platforms support AI-based gender recognition from avatars (e.g., KK-DATA’s TG Gender Recognition). By filtering further for target genders on top of active numbers (e.g., female audience for beauty promotion, male audience for tool product promotion), you can reduce ineffective reach by an additional 30%–50%.

Six Practical Scenarios for Using Active Data in Cross-Border Customer Acquisition

Below are six high-frequency application scenarios. You can quickly match the solution based on your business stage.

Scenario	Recommended Active Window	Key Export Fields	Operational Suggestions
Cross-border e-commerce new product notifications	7 days, plus gender filter	Number, tgid, active status	Push beauty new arrivals to highly active female users
Community batch invitations	15 days, plus dedup	Number, active status	Batch import into invitation system, reduce daily reach density
Independent site promotional materials	30 days, plus gender filter	Active status, last seen time	Adjust sending time based on last seen time
ToB SaaS trial invitations	7 days	Number, tgid	Mark high-frequency active users for priority demo invites
User re-engagement notifications	15 days	Number, last seen time	Push points-related messages to users inactive for 15 consecutive days
Paid community operations	7 days	Number, tgid, gender	Screen high-activity + target users for exclusive benefits

The core logic of each scenario is: “Use the least funds to reach the highest quality users.” By flexibly adjusting the active window and export fields, you can increase the ROI of your marketing budget by 2–3 times.

Frequently Asked Questions

Q: What exactly do the 7-day, 15-day, and 30-day windows refer to in TG active screening?
A: They refer to whether the Telegram account corresponding to the number has logged in or performed effective interactions within the last 7/15/30 days at the time of detection. The shorter the window, the higher the activity level and the fewer the numbers. Choose the window based on your marketing urgency and budget.

Q: Can the exported “last seen time” field be used to determine if a user is currently online?
A: No. This field records the timestamp of the user’s most recent activity, not real-time online status. It can be used to judge dormancy length or plan sending times, but it is not recommended for “send when online” strategies.

Q: After running TG active screening, can I export the tgid (Telegram user ID)?
A: Yes. Some screening platforms (e.g., KK-DATA) support exporting tgid and wsid after completing Telegram active screening, which is convenient for API calls, tag matching, or importing into other automation tools.

Q: How much does it cost to batch screen 1 million numbers for activity?
A: Costs vary by platform, detection type, and active window. KK-DATA charges per check. The console will display an estimated fee before you submit a task. It is recommended to run a small test first before batch operations. For specific prices, please refer to the official billing page or the real-time unit price in the console.

Q: How can I ensure that numbers screened in each task do not overlap with previous ones?
A: Use the Data Dedup Repository feature. Before submitting a new task, compare the numbers to be screened with historical detection records; duplicate numbers will be automatically removed. This effectively avoids repeated charges and saves budget.

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To start screening TG active data, log in to the KK-DATA Console to experience the complete workflow, or refer to the Documentation for more details. If you have any other questions, feel free to contact @kkdata_cc.