How to use TG activity data to increase private message reply rate? ——A practical guide to accurate screening for overseas customers

No one responds to private messages, which is the most common pain point when acquiring customers overseas. You may have purchased thousands of Telegram numbers, only to find that the response rate after sending them in bulk was less than 5%. The problem is not the copywriting, but that most of the users you reach are “zombie accounts”—either they have never registered or they have long been abandoned. The core value of tg active data is to help you accurately select real users who have been online recently from the number pool, so that every private message can be sent to a “living person”, thus greatly increasing the response rate.

This article will completely break down how to use tg activity data to optimize the overseas customer acquisition process from the definition of activity, detection dimensions, practical steps to cost control. The operations mentioned in this article can be implemented through the KK-DATA platform, or you can directly go to the Application Console to experience it.

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Why tg 活跃数据 is the key to improving the reply rate of private messages?

There are three fatal flaws in the traditional blind hair method:

• Invalid number: A large number of numbers are not registered with Telegram and the sending will fail.
• User has abandoned the account: If you have registered but have not logged in for a long time, the message will always show “Unread”.
• Non-target group: Even if the number is valid, the other party may only come online every few months, and your marketing messages have already been buried.

tg 活跃数据 solves the second problem. It filters out accounts that have been online within a specified window (such as 7 days, 15 days, 30 days) by detecting the last time a user was publicly online. These users have the habit of continuous use of Telegram, and the probability of opening your private message and replying is much higher than that of accounts that have been inactive for a long time.

In actual combat, after using active data filtering, the private message reply rate can be increased from 2%–5% to 15%–25%, while the invalid loss is greatly reduced. References are given below.

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How to define “active”? Detection dimensions and common misunderstandings of tg active data

Activity detection vs activation detection: How do they work together?

Detection type	Function	Applicable scenarios
Activation detection	Verify whether the number has been registered with Telegram	Preliminary cleaning of invalid numbers
Activity detection	Determine whether registered users are online within the specified window	Further filter users who have recently been active

**Recommended strategy: activate first and then become active. ** Submit the activation test first to exclude unregistered numbers; then submit the activity test for the activated numbers. This has two benefits:

1. Avoid wasting activity detection fees on invalid numbers.
2. The activation results can be used as the number quality baseline to provide reference for subsequent delivery.

Common misunderstandings in activity detection

• Active ≠ Online: The detection relies on the “Last Online Time” field exposed by Telegram (this field is determined by the user’s privacy settings), not real-time online status.
• The same number may have different results in different time periods: If the user has not logged in for a long time, the test result one month ago showed “active for 7 days” and may become “inactive” one month later.
• Activity detection does not include avatar, gender, age and other fields: these are independent tg 性别检测 functions. If you need to target gender or age, you need to submit tasks separately.

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How to use tg active data to screen users with high response rate? Four-step practical process

Step 1 — Batch generate or import target country numbers

In the KK-DATA console, you can use the Global Number Generation function (free) to generate random numbers for 240+ countries/regions, or you can import your own numbers by uploading a CSV file. If you focus on Southeast Asia, the Middle East or Europe and the United States, it is recommended to generate a number pool corresponding to the number range, starting with at least 10,000 for each line.

Step 2 — First do the activation test and filter out invalid numbers

Select the tg开通 detection type and submit the task. After the detection is completed, export the list of subscribed numbers. At this point invalid numbers have been eliminated and subsequent active detection costs can be reduced by 30%–70% (depending on the original number quality).

Step 3 — Submit the activity detection task and bind the target window

Enter the console, select the tg活跃 detection type, set the active window (such as 7 days), and upload the subscribed number exported in Step 2. After submitting the task, wait for completion notification. The platform supports Telegram bot notifications, and you will be reminded when a task is completed.

Step 4 — Export the list of active users and accurately reach them based on gender/age fields

Activity detection results can be exported to CSV or TXT, containing fields such as number, tgid (Telegram internal ID), etc. For further targeting (e.g. only sending to men aged 25–35), submit an additional tg性别 test, filtering by gender/age. The final list can be used in private message sending tools or automatic group joining scripts.

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How to set the active window? Recommended configurations in different marketing scenarios

Marketing scenario	Recommended active window	Reason
Short-term event promotion (such as limited-time discounts)	7 days	Ensure that users are online recently and have strong willingness to reach them immediately
Brand cold start/product trial	15–30 days	Expand sample size while maintaining a certain level of activity
Pre-holiday wake-up (such as Spring Festival, Black Friday)	30 days	Screening 1 month in advance to facilitate batch delivery
Social new recruits	15 days	Taking into account the response rate and user base

Note: If the window is too narrow (such as 1 day), it may result in too few samples; if the window is too wide (such as 60 days), the response rate will be close to opening the test, and the significance of active screening will be lost. It is recommended that when using it for the first time, the same number pool should be set up for 7 days, 15 days, and 30 days for small-scale testing, and the best window can be determined after comparing the response rates.

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When using tg active data, how to control the detection cost and avoid repeated consumption?

KK-DATA adopts the per-item billing, no subscription package model. After recharging, the corresponding balance will be deducted for each task. The key points to control costs are as follows:

1. Activate first and then activate: Avoid wasting activity detection fees on invalid numbers.
2. Use data deduplication warehouse: The platform automatically removes duplication across tasks, and the same number will not be deducted repeatedly.
3. Small sample testing in batches: First use a small number of numbers to verify the window effect, and then conduct large-scale testing after confirmation.
4. Follow the real-time price of the console: Different platforms and different detection types have different unit prices. The estimated cost will be displayed before submitting the task. Please refer to the Official Website Billing Page or real-time data from the console, and do not make up the unit price on your own.

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Before and after comparison effect: reference for changes in response rate after using tg active data

Assume that an independent website team (not a real customer case) purchased 100,000 Southeast Asian numbers from a certain channel with the goal of promoting a cross-border e-commerce app.

• Not using tg active data: Send private messages directly to all numbers, the response rate is about 2%–5%. 50% of the numbers are not registered with Telegram, 30% are registered but have not logged in for more than 60 days, and the actual effective reach is less than 20%.
• After using tg active data: First enable detection to clean out 60,000 valid numbers, and then submit 7-day activity detection among them, and get 24,000 active users. After targeted sending, private message response rates reached 18%–25%. At the same time, it saves about 60% of sending resources and customer service time.

The core of the difference in performance is that each private message is sent to “people who have recently opened Telegram.”

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FAQ

Question: Can tg active data guarantee a reply to private messages?

A: A 100% response cannot be guaranteed. tg active data filters recent online users to reduce the interference of “dead accounts”, but the response rate is still affected by factors such as copywriting, target matching, and sending period. It is recommended to combine A/B testing for continuous optimization.

Q: What should I do if the number of active users detected is less than expected?

Answer: You can try to expand the active window (such as changing from 7 days to 15 days) or increase the initial number pool number. In addition, some countries/regions have a low proportion of Telegram users. It is recommended to use the activation test to evaluate the quality of the number before deciding whether to continue advertising.

Question: Do I need to recharge first to use tg active data? In what way are fees deducted?

Answer: You need to recharge USDT (TRC20) to the balance first, the minimum is about 50 USDT. After the active detection task is completed, it will be deducted from the balance on an item basis. For specific unit prices, please see the real-time price on the console. No subscription packages, just pay for what you use.

Question: Can active detection and activation detection be combined into one task?

Answer: The platform currently supports submitting a single detection type task. It is recommended to activate it first and then activate it, and submit it in two times, so that costs can be flexibly controlled. If the number pool has confirmed all registrations, active detection can be submitted directly.

Question: The active user list I exported contains tgid. What is the use of this field?

Answer: tgid is Telegram’s internal user ID, which can be used for more precise targeted private messages (such as sending through Bot API), and can also be used with other tools for user profiling analysis. Please check the corresponding fields in the console when exporting.

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Conclusion

The competition for overseas customers has already shifted from “quantity” to “quality”. Instead of spending a lot of money to send invalid numbers in bulk, it is better to first use tg active data to target users with high response rates. From number generation, enabling filtering, activity detection to data export, KK-DATA provides a complete pipeline. You can now log into the console to start your first active filter:

👉Log in to the console to start screening numbers

If you need more help or customized solutions, you can communicate directly with technical support through two-way contact: https://t.me/kkdata_robot

For product usage documentation, please see: https://docs.kkdata.cc/