What’s the Difference Between TG Active and TG Open Detection? How Should Overseas Marketing Teams Choose?

When doing Telegram marketing, you will likely encounter two frequently used terms: TG Open and TG Active. Many teams, when first screening numbers, instinctively think “as long as the number is registered on TG, it can be used.” As a result, DM reach rates are low, group member churn is high, and friend request acceptance rates are poor. In reality, TG Open only tells you that a number exists, while TG Active provides more signals: whether the person was recently online, gender tendency, and even TG ID. This article will help you understand the differences between the two from four dimensions: detection logic, applicable scenarios, cost, and data reliability, and give actionable selection recommendations.

---

What is TG Effective (Open) Detection? What Information Does It Provide?

TG Open Detection (also called registration detection) is the most basic number verification method. Its core logic is: send an implicit query to the Telegram platform to determine whether the number has been registered as a Telegram account. The output has only two possibilities: Open or Not Open.

Typical Use Cases:

• Clean number lists to remove numbers not registered on TG, reducing invalid addition rates.
• Preliminary screening before inviting to groups, avoiding wasting resources on numbers without existing accounts.
• As a prerequisite step for higher-level detection (e.g., activity detection), filtering out invalid numbers first.

Target Audience: Teams with limited budgets that only need to confirm whether a number is registered on TG, or scenarios with extremely large data sets (hundreds of thousands to millions) requiring quick removal of invalid numbers.

---

What is TG Active Detection? What Extra Information Does It Provide Compared to Open Detection?

TG Active Detection, on top of the open check, further determines whether the number has any recent activity. It not only tells you “whether the number is registered” but also provides more granular user behavior data.

Activity Criteria (7-day / 15-day / 30-day window)

TG Active Detection supports choosing different time windows: active within 7 days, active within 15 days, active within 30 days. These windows correspond to whether the number had at least one activity (e.g., sending a message, going online, calling an API) during that period. The shorter the window, the “hotter” the screened users, but the coverage is smaller; the longer the window, the higher the hit rate, but user activity may be lower.

Note: Activity detection returns “has recent activity record,” not real-time online status. If you need to determine whether a user is currently online, you need to combine other methods.

Principle and Use of Gender Identification Data

TG Active Detection also supports gender identification based on profile pictures (using deep learning models). If the number has a profile picture (and the picture contains facial features), the system returns a “male/female” judgment. This data is useful in the following scenarios:

• Building fine-grained user profiles (e.g., products with more female users need to target women first).
• Gender-targeted marketing (e.g., beauty, maternity, male consumer goods).
• Sending different content by gender in community operations.

Practical Applications of Exporting TG ID

TG ID is the unique internal ID of a Telegram account (in numeric form). After exporting TG ID, you can:

• Use the TG API or third-party tools to send messages directly to that TG ID (bypassing SIM card restrictions).
• Bind user identity in your own TG bot for precise subsequent message pushing.
• Build whitelists or blacklists for cross-group/cross-channel user identification.

---

How Do TG Active and TG Open Differ in Cost and Efficiency?

Since activity detection requires querying more data and executing more complex logic (time window matching, avatar analysis, TG ID retrieval), the cost per single detection is usually higher than simple open detection. Specific unit prices are subject to the real-time prices in the console; the system will display an estimated cost before submitting a task.

Efficiency Differences:

• Open Detection: Fast processing speed. A single task can submit up to about 1 million numbers, suitable for batch processing.
• Active Detection: Processing time is slightly longer (because it needs to compare activity times one by one), but still within an acceptable range from minutes to hours (depending on task volume).

Cost-Effectiveness Judgment:

• If the goal is only to remove “nonexistent numbers,” use only open detection for the lowest cost.
• If you need to screen “recently active potential users” from open numbers, you must use active detection. However, you can first do open screening, then run active detection on valid numbers to avoid wasting active detection costs on invalid numbers.

---

When Should You Choose TG Open and When Must You Use TG Active?

Marketing Goal	Recommended Detection Type	Reason
Clean number list, remove numbers not registered on TG	TG Open	Low cost, fast, sufficient effect
Batch add friends, require high acceptance rate	TG Open + optional Active	Open detection ensures number exists; if higher acceptance rate needed, add active filter
DM outreach, want high reply rate	TG Active (7 or 15 days)	Users active recently are more likely to see and reply to messages
Community recruitment, recruit active seed users	TG Active (7 days)	Ensures the people brought in can participate in interactions
Build user profiles, need gender labels	TG Active (with gender identification)	Open detection cannot provide gender data
Export TG ID for precise TG bot push	TG Active (supports TG ID export)	Open detection usually only returns open/not open, does not output TG ID

Scenario 1: Batch Clean Invalid Numbers → Choose TG Open

If you have a large number of numbers (e.g., 500k collected from public channels), the primary goal is to remove numbers not registered on TG at the lowest cost. In this case, directly use TG Open Detection for the highest efficiency and lowest cost.

Scenario 2: Need High Reach Rate or Target Active Users → Choose TG Active

If you are promoting high-value products (e.g., courses, tools, B2B services) and hope for a DM open rate >20%, simply ensuring the number is registered is insufficient. Many people register but don’t use it long-term or have abandoned the number. Using TG Active Detection (7-day window) ensures the user has logged into TG recently, providing better reach.

Scenario 3: Need Gender Data to Build User Profiles → Must Use TG Active

TG Open Detection does not involve gender identification at all. Only active detection supports extracting gender information from profile pictures. If you need to perform differentiated marketing by gender (e.g., products dominated by female users targeting women first), you must enable gender identification in active detection.

---

How to Run TG Open and TG Active Detection Simultaneously with KK-DATA

In the KK-DATA console, you can flexibly combine detection types for pipeline operations. Below is the best practice flow:

Step 1: Use Open Detection to Filter Invalid Numbers

1. Log in to the App Console.
2. Create a new task, select “TG Open Detection,” upload the number file.
3. Submit the task and wait for completion.
4. Export the list of “open” numbers.

Step 2: Submit an Active Detection Task for the Open Numbers

1. Use the “open” numbers exported in Step 1 as input, create a new task.
2. Select “TG Active Detection,” set the time window (e.g., 15 days), and decide whether to enable gender identification and TG ID export.
3. Submit the task and obtain the final active list with tags.

Advantage of this approach: Avoids paying active detection fees for a large number of invalid numbers. Total cost is lower than submitting an “active detection” task directly. And the entire process is closed within the console, no need to switch to other tools.

---

If I Care About Data Reliability, Is TG Active Detection Accurate?

The accuracy of TG Active Detection is affected by multiple factors:

• User activity patterns: Some users register but rarely actively use the app, though they may indirectly generate activity through third-party apps. This part of the data can be detected, but the definition of “active” may differ from your understanding of “frequent use.”
• Time window choice: A 7-day window captures recently active users better than a 30-day window, but may miss users who only go online once a week. Choose the appropriate window based on your actual marketing rhythm.
• Privacy settings: Some users set very high privacy levels, which may result in being detected as “inactive” or “unknown.” This is normal, and the data should be used as reference only.

KK-DATA uses algorithms such as multi-node polling and cache comparison to improve detection accuracy. If you have doubts about a batch of results, you can resubmit a task after some time for re-verification. Activity detection returns recent activity records, not real-time online status. Do not treat it as a guarantee that the user is “definitely online now.”

---

Can TG Active Detection Be Combined with iMessage/RCS Detection?

Yes. In KK-DATA’s “Multi-Platform Screening” feature, you can submit detection requirements for multiple platforms at once. For example, you may want to find users who are “TG active and iMessage open,” or screen users who are “TG active” from numbers where “RCS is open.” This cross-platform cross-screening is particularly valuable for marketing scenarios that require multi-channel customer contact.

How to do it: On the task creation page, check “TG Active Detection” and “iMessage Detection.” The system will run both detections on the same batch of numbers and output a list that meets all conditions. Combining cross-platform options maximizes reach efficiency while avoiding duplicate investment.

---

Frequently Asked Questions

Q: How do I decide between TG Active Detection and TG Open Detection?
A: If your primary goal is to remove nonexistent numbers and reduce invalid addition rates, TG Open Detection is sufficient. If you need more precise reach to target users (e.g., DM open rate, community activity) or need gender tags for user profiling, upgrade to TG Active Detection.

Q: Is the activity day information from TG Active Detection accurate?
A: TG Active Detection returns numbers that have activity records within the last 7/15/30 days. This data is based on publicly visible activity information on the TG platform and is a reliable reference. However, it does not equal real-time online status, nor does it mean the account owner is currently using the app. Use this data as a reference for user activity screening, not an absolute guarantee.

Q: Can I run both detections on the same batch of numbers simultaneously? Will I be charged extra?
A: In the KK-DATA console, you can submit both TG Open Detection and TG Active Detection tasks for the same batch of numbers. The system will charge separately according to the unit price of each detection type, so costs will be cumulative. It is recommended to submit the open detection first to filter out invalid numbers, then submit an active detection task only for the valid numbers, resulting in lower total cost.

Q: When I export data from TG Active Detection, what fields are included?
A: The exported results typically include: the number itself, whether it’s open, recent active days (e.g., within 7 days, 15 days, etc.), gender identification result (only if a profile picture is identifiable), and TG ID (if export is supported). Please refer to the task result page in the console for specific fields.

Q: Is TG Active Detection suitable for member screening in paid groups?
A: Yes. If you operate a paid community, you can first use TG Active Detection to understand the activity ratio of existing group members. However, for members already in the group, in-group activity data may be more accurate. TG Active Detection is mainly used for screening potential users whose numbers you have but haven’t yet added as contacts.

---

Choosing a suitable detection plan is the first step to improving TG customer acquisition efficiency. If you are unsure how to combine them, you can first log in to App Console to try it out, or refer to Official Documentation for detailed steps. If you encounter any issues, feel free to contact official Telegram support @kkdata_cc.