How to use tg activity data to accurately reach target users before e-commerce promotions

The e-commerce promotion is coming soon, have you prepared your user list? Many teams are used to running a batch of Telegram activation tests first, and then start mass messaging after getting tens of thousands or even hundreds of thousands of accounts. The result? The open rate is low, there are few replies, and the account is even reported and banned. The key to the problem is not whether the number is registered with Telegram, but whether these users are actually using it recently. This article is going to talk about how to use tg active data - to filter out real users who have logged into Telegram in the past few days or weeks - to improve the efficiency of promotional reach, reduce harassment costs, and truly turn traffic into conversions.

What is tg active data? Why is it needed before e-commerce promotion?

tg activity data refers to using Telegram’s exclusive detection technology to determine whether a user has recently logged in and used Telegram, and can further obtain his active time window (such as online within 1 day, 7 days, and 30 days). It is essentially different from simple “opening detection”:

Comparison Dimensions	Activation Detection	Activity Detection
Judgment basis	Whether the number is registered with Telegram	Whether the number is online within the specified period
Result value	Yes/No	Yes/No + last active timestamp
Applicable scenarios	Filter registered users	Filter active and reachable users

For e-commerce promotions, the risk of screening only activated accounts is obvious: a large number of “dead accounts” (no login after registration) or “silent accounts” (long-term inactivity) are included in the delivery list, which wastes costs and easily triggers platform risk control. And tg active data can help you:

• Reduce invalid sending: Skip those users who open Telegram very rarely, and only send promotional messages to people who are actually likely to see them.
• Increase open and click-through rates: Active users are more likely to view messages immediately, and active links will naturally have a higher click-through rate.
• Reduce account risk: A less targeted but precise list can reduce large-scale harassment complaints and protect your sending account.

In an e-commerce promotion scenario, when is the best time to screen tg active data?

tg active data is not omnipotent, but in the following three typical scenarios, it can significantly amplify the promotional effect.

User warm-up before the big promotion event

3–7 days before large-scale promotions such as Double Eleven and Black Friday, you need to build users’ minds in advance. Screening Telegram users who have been active within 7 days and sending warm-up content (countdown, preview, lottery) frequently can greatly increase the return visit rate on the day of the big promotion. These users are more likely to see and remember your activity information because they have been online frequently recently.

New product launch notification

When you have a new product on the market and want to make an “invitation-based” notification in the Telegram community or private message, it is recommended to filter users who have been active within 30 days and combine the gender/age fields for targeting. For example, for new beauty products, exclusive trial codes can be sent to active female users aged 18–35. This not only avoids disturbing users who have not logged in for a long time, but also allows active users to feel the sincerity of “exclusive”.

Coupon/exclusive discount push

If you plan to send out limited-time coupons and want the write-off rate to be as high as possible, then the active window should be shortened to 1–7 days. These “hot” users respond the fastest to instant messages, and coupled with the urgency of the coupon (to be used within 24 hours), the write-off rate is often 3–5 times that of ordinary accounts. At the same time, it can also push information by time zone according to the user’s country/region field to avoid interruption during non-business hours.

How to obtain tg activity data available for e-commerce? Step-by-step guide

From scratch to getting a batch of high-quality tg active data, it takes roughly three steps. The entire process can be completed in one line on the KK-DATA platform.

Step 1 – Generate a number pool for the target market

You first need a batch of candidate mobile phone numbers. There are two ways:

• Global number generation (free): Select the target country/region (such as Indonesia, Mexico, Philippines) in the generation module, and the system will randomly generate or generate legal mobile phone numbers based on number segments.
• Customized CSV import: If you have already collected clues yourself (such as mobile phone numbers collected at offline exhibitions), you can directly upload the CSV file and the platform will automatically remove duplicates.

The larger the number pool generated, the greater the absolute number of active users subsequently filtered out. This step is completely free and no balance will be deducted.

Step 2 – Submit the screening task and select active detection

Enter the console to create a task, select the “Telegram” platform, and check both:

• Activation Test: Confirm that the number has been registered with Telegram.
• Activity Detection: Determine whether you have logged in within the specified window.
• (Optional) Gender/Age Detection: Get the user’s gender and approximate age group.

Then set the active window: select “7 days” for preheating promotions, “30 days” for daily push, and “1 day” for VIP exclusives. The estimated price will be displayed on the interface before submission - because billing is by item and there is no subscription package, the actual cost depends on the type and quantity of testing. If the balance is insufficient, please recharge via USDT (TRC20) first (minimum about 50 USDT).

Step 3 – Export tgid and active tags for marketing

After the task is completed, the result file can be exported in CSV or TXT format on the task details page. Commonly exported fields include: -Mobile phone number

• Whether to enable it (true/false)
• Whether it is active (true/false, including the latest active timestamp)
• Gender (male/female/unknown)
• Age (approximate age range, e.g. about 30 years old)
• tgid (Telegram internal ID, can be used for precise private messages)
• Country/Region

Import the filtered active users (combined with gender/age) into your Telegram private message tool or community invitation system to start group marketing.

After using tg active data, what will happen to the effect?

Judging from actual operational feedback, comparison of key indicators before and after using tg active data (non-fictional data, based on industry experience):

Metrics	Use activation data only	Use active data (7-day window)
Sent volume (items)	100,000	40,000 – 70,000
Message open rate	5% – 10%	20% – 35%
Reply/Click-through rate	1% – 3%	5% – 15%
Risk of account being complained/banned	High (a large number of invalid accounts)	Significantly reduced

Core changes:

• Sending volume is reduced by 30%–50%, but effective reach (opens + replies) is increased by 2–3 times.
• Reduced risk control: Because you no longer send messages to a large number of zombie accounts, your Telegram account will not be judged as a “harassing robot” by the system.
• Long-term interaction cost reduction: If you continue to use only active users for marketing, your user list will become increasingly “cleaner” and the per-person interaction cost of each promotion will continue to decrease.

Common misunderstanding: Why may tg activation data alone not be enough?

Many teams thought that “as long as users registered with Telegram can see my messages,” they took the list of enabled tests and started sending them to groups. The reality is often:

• More than 60% of “open accounts” may not have logged in for more than 6 months.
• Even if these users receive the message, they will not open it - you are just wasting your balance and account reputation.
• Telegram’s active algorithm will penalize accounts with a high probability of invalid sending, causing your normal messages to be filtered as well.

Therefore, tg active data is the “passing line” for e-commerce promotions. Further up, you can use gender/age fields to create more detailed stratification. For example, men’s razor promotions are only promoted to male active users, and maternal and child products are targeted at female active users aged 25–35. Only in this way can we evolve from “casting a wide net” to “precision fishing.”

How to verify whether the tg activity data you obtained is reliable?

Data quality directly impacts marketing results. It is recommended that you follow the steps below for quick verification:

1. Test with a small amount first: Get 100-500 pieces of active data, send a greeting message manually or with a small tool, and count the real response rate. If the response rate is less than 5%, the data may be contaminated.
2. Check tgid export integrity: Active detection should be able to export the corresponding tgid. If a large number of records lack tgid, the detection may be incomplete.
3. Use the deduplication module well: Before submitting the task, confirm that the data deduplication warehouse is enabled to avoid the same number being detected multiple times and wasting balance.
4. Verified through official channels: KK-DATA’s customer service channels only have two-way contact robots listed on the official website (https://t.me/kkdata_robot）和客服号（https://t.me/kkdata_robot），谨防冒充。

FAQ

**Q: Can the “active window” of tg active data be set by myself? ** Answer: Yes. When submitting the Telegram screening task in the KK-DATA console, you can choose a customized active window such as 1 day / 7 days / 30 days, or you can default to no limit. The shorter the window, the more immediately active users will be filtered, but the number may be smaller.

**Q: How long is the recommended active window before e-commerce promotion? ** Answer: Based on experience, it is recommended to use a 7-day active window during the warm-up period of a major promotion to reach recently logged-in users; a 14-day or 30-day window can be used for the launch of new products to cover a wider range of users who are still willing to interact. Window selection needs to be combined with your marketing frequency and target market time zone.

**Q: Can TG active data and TG activation data be screened together? ** Answer: Yes. When creating a task in the console, check “Enable Detection” and “Active Detection” at the same time, and the system will return two results at once, allowing you to compare the distribution differences between “all registered users” and “active users”.

**Q: How to calculate the cost of screening tg active data? ** Answer: It adopts a per-item deduction model and there is no subscription package. The unit price is different for different platforms (Telegram, WhatsApp, Line, etc.) and different detection types. Please log in to the console for specific prices. When creating a task, the system will display the estimated cost in real time. For details, please refer to Billing Instructions.

**Q: What fields does the exported tg active data contain that can be used for e-commerce marketing? ** Answer: Common export fields include: number, whether it is activated, whether it is active (including active timestamp), gender (partial), age (rough range), tgid, nationality/region, etc. You can stratify users based on these fields, such as pushing beauty promotions to female users aged 18-35 who are active for 7 days.

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Data preparation before e-commerce promotion starts with screening tg active data. Log in to the console immediately to create your first screening task, or communicate with the best solution online through two-way customer service.

👉Log in to the console to start screening numbers Two-way contact customer service: https://t.me/kkdata_robot