TG active data vs. TG activation number: Which one should you pay attention to when acquiring customers overseas?

#TG active data vs. TG activation number: Which one should you pay attention to when acquiring customers overseas?

In the process of acquiring customers on Telegram, the first step for many people is to screen accounts in batches, but they often overlook a key question: Is it enough to only screen for “activation”? ** The TG activation number you get may contain a large number of “zombie accounts” that have not been online for a long time and have been abandoned. The messages sent out will be ignored, and even trigger account bans. And tg active data - that is, detecting whether the number has been online in the near future - can more accurately target the actual users. This article makes an in-depth comparison of TG activation numbers and TG activity data from the perspectives of definitions, differences, costs, and practical processes to help you make the best choice based on your own marketing stage.

What is TG activation number and TG active data?

To put it simply, TG activation detection only verifies whether a Telegram number has been registered (i.e., “activated” status). The tg activity data is based on activation and further determines whether the number has any activity records (such as sending and receiving messages, login sessions, etc.) within the specified time window. The data levels of the two are completely different.

The essence of TG activation detection

Open detection is the most basic screening method. When you upload a mobile phone number, the platform will query the Telegram server and return “activated” or “not activated”. Unactivated numbers cannot receive any TG messages and are invalid data. Provisioning detection is usually used for:

Quickly filter out unregistered TG numbers
Preliminary estimate of the proportion of TG users in a number pool
Prepare a clean number library for subsequent more in-depth detection

Dimensions of TG active data detection

tg active data detection provides more dimensions of information. Taking the KK-DATA platform as an example, common fields include:

Whether it is activated (required)
Active: Whether there has been any activity within the selected time window (such as 7 days, 30 days, 90 days)
Latest active time (some platforms can return a rough period)
Gender Identification: Infer male/female based on username, avatar, and public information
Age inference: Approximate value, for example, it can filter people “about 30 years old”, non-ID card level accuracy
tgid: TG user’s unique ID, which can be used for subsequent targeting operations

Reminder: The gender and age fields in tg active data are the results of machine inference. The accuracy changes with the sample base and cannot be used for verification down to the individual level.

It can be seen that tg activity data is by no means simply “whether a person is alive or not”, but contains rich information such as active frequency, user portraits, unique identifiers, etc., providing a data basis for precision marketing.

What is the difference between TG activation and TG active? ——Three key differences

Comparison dimensions	TG activation detection	TG active data detection
Data depth	Only returns “yes/no” status	Returns multi-dimensional fields such as activation, activity, time window, gender, age, tgid, etc.
Marketing value	Suitable for large-scale new recruitment, preliminary filtering of invalid numbers	Suitable for targeted conversion, private message contact, and reducing the risk of account suspension
Cost efficiency	Lower cost per line	Slightly higher cost per line, but higher input-output ratio
Scenario Adaptation	Initial batch cleaning, limited budget	Accurate customer acquisition in the middle and later stages, pursuit of high response rate

Differences in data dimensions: activation only has “yes/no”, activity includes frequency, time, and user portrait

The result of the activation test is a binary option. It cannot tell you whether the number was still in use yesterday or whether it has not been opened since it was registered a year ago. tg active data filters out “sleeping users” through the active time window (such as within 7 days), and provides additional portrait data such as gender, age, etc., so that you can target targeted groups such as “men in their 30s”.

Differences in marketing scenarios: mass messaging vs targeted conversion, private messaging

Group invitation: If you just send a group invitation link to a group of numbers, hoping that they will join the community, you can achieve a certain degree of delivery by just activating the filter. However, it may involve a large number of zombie accounts registered a few years ago, resulting in an extremely low probability of the invitation link being clicked.
Targeted conversion: If the purpose is to push coupons and product introductions via private messages, or require users to reply or click on links, then tg active data must be used. Only recently active users may see the message and interact with it. In addition, many platforms have anti-spam policies on the frequency of private messages, and sending to zombie accounts may be judged as abnormal behavior.

Differences in cost and efficiency: the cost of a single detection is different, and the return rate of active detection is higher

The cost of tg active data detection is slightly higher than that of activating a single detection (see the real-time price of the console for specific prices), but the value it brings often far exceeds the price difference. Suppose you spend 1,000 yuan to test 100,000 activated numbers and get 60,000 activated numbers, of which only 20,000 may be active recently. If you directly spend 800 yuan to detect 80,000 active data and get 40,000 active numbers, although the amount of detection is small, the number of effective users that can actually be reached is twice that of the former, and the response rate is higher. From an ROI perspective, tg active data is more cost-effective.

An important reminder: activation does not mean active

Simply opening a number may include a large number of “sleeping users” who have not logged in for a long time. tg activity data can filter out these ineffective costs, allowing you to spend your budget on people who really hope to convert.

Why can tg active data improve the customer acquisition effect more than opening a number?

If you only screen the activated numbers, you will face three major problems:

Low delivery rate: Messages sent on zombie accounts may be directly discarded or delayed by the Telegram server, affecting the overall delivery statistics.
High risk of account ban: If you send messages to a large number of dead accounts in a short period of time, it is easy to trigger the anti-spam mechanism, causing your account or IP to be restricted.
Conversion rate is dismal: Even if the message is delivered, the other party has not logged in for months or even years and will not see your message at all, and the conversion is close to zero.

tg activity data can target users who have recently gone online (for example, select “Active within 7 days”). These users have a higher probability of seeing messages, clicking on links, and making purchases. Combined with the gender and age fields, further precise contact can be achieved. For overseas businesses such as B2B SaaS and cross-border e-commerce that require high user value, tg activity data is a key tool to improve customer acquisition ROI.

How to get tg active data? ——The operation process using KK-DATA as an example

Obtaining tg active data is not complicated. Taking the KK-DATA platform as an example, the operation only requires three steps:

Step 1: Prepare the number to be detected (including global number generation function)

You can upload your own number list (CSV, TXT format) in the console, or you can use the global number generation function: select the target country (240+ countries/regions) and generate random numbers or custom number segments. The generation function is completely free, and it is recommended to use it to create a pool of potential numbers first.

Step 2: Select tg active detection and submit the task (with estimated cost)

In the screen module of the console, select the “Telegram” platform and select “TG active detection” as the detection type. The system will ask you to specify the active window (such as 7 days, 30 days, 90 days), and whether to detect additional fields such as gender and age. Before submitting the task, the platform will display the estimated cost of the task (billed by item, please check the real-time price on the console for the specific unit price). Submit after confirming that the balance is sufficient.

Note: Planning of balance and task volume

The single cost of tg active detection is slightly higher than the activation detection. Please ensure that the account balance is sufficient to cover the expected detection volume. A single task supports up to about 1 million numbers, and excess numbers must be submitted in batches.

Step 3: Receive notifications and export tg active data (CSV/TXT)

After the task is completed, you will receive a notification via Telegram, and you can also view the results in the task list of the console. The export format can be CSV or TXT, and the fields include: number, whether it is activated, whether it is active, recently active tag, gender, age, tgid, etc. After downloading, it can be directly imported into CRM or automated marketing tools for use.

Comparison of the cost of tg active data and tg number activation - which one is more cost-effective?

KK-DATA adopts a per-item billing and no subscription package model. After recharging USDT, fees will be deducted based on the actual number of tests. The single prices for TG activation detection and TG active detection are different. For the specific amount, please refer to the real-time announcement on the console or billing page.

From the overall ROI perspective:

If your task is to preliminarily clean 100,000 unfamiliar lists, give priority to using the activation test (low unit price) to eliminate unregistered numbers, and then submit TG activity detection for 20,000 to 30,000 of the activation results. The total cost is controllable.
If you already have a relatively clean number source (such as from an industry database), it is recommended to use tg active detection directly to avoid repeated costs and time loss caused by secondary submission.
Combined use: first enable filtering → then active filtering, which is the default strategy for most teams, can not only control the total cost, but also obtain a high-quality list.

How to choose a TG screening plan based on your own marketing stage?

There is no one solution that fits all scenarios. It is recommended to choose based on the following decision-making framework:

Limited budget, priority coverage → enable filtering first

If the team is in the cold start stage and the primary goal is to quickly accumulate a group of reachable TG users (even if the response rate is low), then it is most economical to do the activation test first. Spend a low unit price to obtain a large number of “registered” numbers for preliminary mass recruitment testing.

Pursue conversion rate and reduce the risk of account suspension → tg active data is given priority

When your marketing activities require high response rates and high conversions (such as private message promotion of paid products, promotion of high-customer unit price products), please use tg activity data directly. Although the cost of a single message is slightly higher, each message represents a real user who has been using it recently. The message delivery rate and interaction rate have increased exponentially, while the probability of account suspension has been significantly reduced.

Advanced gameplay: activation + active combination filtering

Best practice: first use the activation test to eliminate invalid numbers → filter out the activated numbers → then submit the tg activity test for the activated numbers (you can choose a 7-day or 30-day window) → finally obtain the “activated and active” gold list. Although this method requires two tasks, it can maximize cost efficiency and avoid paying activity detection fees for a large number of “possibly activated but long-term inactive” numbers.

Common misunderstandings and precautions

tg active data ≠ real-time online tg activity data reflects the user’s online behavior within a specified time window (such as the past 7 days), rather than “online at this moment.” For scenarios with extremely high timeliness requirements (such as limited-time flash sales), it is recommended to choose an active window within 3 days, but it cannot be accurate at the second level.
Don’t think of “open” as reachable Many promoters get the list of activated numbers and immediately send messages, only to find that a large number of accounts cannot receive them or do not exist at all. In fact, activation is just a registration mark and does not mean that the user is currently using this number to log in to TG. Only numbers that pass activity detection are more suitable for private messaging.
Gender and age fields are inferred results These fields are based on machine algorithms that analyze public information such as user names, avatars, and group behaviors. The accuracy varies depending on the completeness of the personal data and cannot be used in scenarios that require precise ID card-level verification.
The unit price of the test is subject to the console The article does not provide specific price figures because the unit prices for different platforms, different detection types, and different time windows will fluctuate. Please log in to [Application Console] (https://app.kkdata.cc/) to view real-time prices, or refer to [Billing Instructions] (https://kkdata.cc/billing/).

FAQ

**Q: What does TG active data mean? ** Answer: TG activity data refers to technical detection to determine whether a Telegram number has been online/operated within a specified time window (such as 7 days, 30 days). It is more in-depth than the “activation” test and can help you identify users who have actually used it recently, rather than just verifying the registration status.

**Q: Can TG activation detection and activity detection be done at the same time? ** Answer: Yes. In number screening platforms such as KK-DATA, you can first perform activation testing to eliminate invalid numbers, and then submit active detection for the selected activation numbers, thus saving total costs. You can also directly submit the “TG Activity Detection”, and the platform will automatically determine whether it is activated and then active.

**Q: Is the TG activity data accurate? Can it detect whether the user is online? ** Answer: tg activity data is based on Telegram public interface or protocol analysis, which can reflect whether the number has any activity records within the selected time window, which is a behavioral inference with high credibility. However, it is impossible to make a real-time judgment of “whether you are online at this moment”. It is recommended to combine the active window (such as within 3 days) to reduce the error.

**Q: What fields does tg active data contain? ** Answer: Taking the KK-DATA platform as an example, tg activity data usually includes: whether the number is activated, whether it is active, the most recent active period (part), gender identification results (male/female), age inference (approximate value), tgid, etc. The specific fields are subject to the console export results.

**Q: What marketing scenarios can tg active data be used for? ** Answer: Mainly used in scenarios: 1) Telegram group/channel private message promotion to avoid sending to zombie accounts; 2) Cross-border e-commerce/independent stations sending targeted promotions to TG users; 3) Social promotion by strangers, requiring users with a high response rate; 4) Combining gender and age fields for accurate crowd screening.

In acquiring customers overseas, “opening” is only the starting point, and “active” is the end point. Screening only for activation numbers is like casting a net to catch fish without caring about how many dead fish there are in the net. It is a waste of cost and inefficient. Introducing tg active data allows you to spend your budget wisely and truly reach high-value users. Whether you are a start-up team or a mature overseas brand, it is recommended to include TG activity detection into your standard screening process.

👉 Log in to the console to start screening numbers Two-way contact customer service: https://t.me/kkdata_robot For more operating instructions, please refer to Usage Documentation or visit Official Website to learn about the platform.