How to use tg active data to improve ROI: a guide to the entire process from filter number to single effective reply cost

When acquiring customers on Telegram, many teams spend a lot of money on purchasing number packages and sending private messages in groups, but the final effective response rate is less than 1%. The problem often lies in “number quality” - are the messages you send reaching truly active users? tg active data is the key to solving this pain point. By filtering out numbers that have logged in or used Telegram within a specified period of time, the response rate can be greatly improved, thus reducing the cost of a single effective reply. This article will help you establish a complete tg active data usage strategy from concepts, ROI formulas to practical steps.

What is tg active data? What is the difference between it and tg activation detection?

Many users tend to confuse “tg activated” with “tg active”. To put it simply: tg activated only detects whether the mobile phone number is registered with Telegram, while tg active detects whether the account has actually logged in/used Telegram in the recent period.

The difference between tg activation (registration detection) and tg activity

Test type	Test content	Typical uses	Cost
tg activation	Whether the number is registered with Telegram	Wash invalid numbers and remove empty/unregistered numbers	Lower
tg active	Whether the account has been logged in within a specified number of days (such as 7 days, 30 days)	Precision marketing, high response rate target	Slightly higher than activation, but higher return rate

• tg activation: Outputs the “registered/unregistered” status, regardless of whether the user is active or not.
• tg active: Outputs “active/inactive” results, with customizable active windows (e.g. “last 7 days”).

Why is activity more important to ROI than simple activation?

Suppose you send 1,000 private messages, all of which are registered accounts, but only 200 of them are active users who have logged in recently. The 800 inactive numbers were either undeliverable (abandoned) or were delivered without being viewed. If you only test the activation, you will still send messages to those 800 invalid accounts, wasting bandwidth and account risk control costs. Screening for activity first means that 900 of your 1,000 sends are sent to people who are actually likely to reply - the ROI gap can be several times greater.

Why is tg active data the key to ROI optimization?

The biggest variable in the ROI calculation is the effective response rate. For the Telegram customer acquisition scenario, the effective reply rate = the number of people who reply / the number of people who send. tg active data directly boosts the numerator. For example:

• Use tg provisioning data: response rate is typically 0.5%–2%.
• Using tg active data (active within 7 days): response rate can increase to 5%–15% (depending on industry and target market).

If the cost of each sending is fixed (including number cost, number screening fee, sending tool fee, and labor cost), a 5-fold increase in the response rate means that the cost of a single effective reply is reduced by 80%. This is the core value of using tg to activate data.

How to reduce the cost of a single effective reply through tg active data?

Below is a proven 4-step process to help you maximize the value of your tg active data.

Step 1: Generate or import number source

In KK-DATA Console, you can use the “Global Number Generation” module to generate random numbers by country and number segment, or you can upload your own CSV/TXT number package. It is recommended to generate numbers according to the target market (such as Southeast Asia and the Middle East) first, and the number is recommended to be more than 5,000 to obtain statistical significance.

Step 2: Test tg activation first (remove non-registration numbers)

Step 3: Filter the activated account to see if tg is active (active within specified days)

Create a new screening task, select the detection type as “tg active”, and set the active window (such as 7 days, 30 days). The console displays estimated costs. Submit and wait for the results. You can choose to export fields such as gender and age at the same time, but the core is the active status.

Step 4: Export the results and use them for private message/group marketing

After the task is completed, export the CSV file, which contains the mobile phone number, tgid, and activity status. You can filter out active users based on the “Active” field, and then use the automatic sending tool to send private messages to these numbers. Sending using tgid is more stable and accurate than sending by mobile phone number.

Formula to calculate single effective reply cost

Formula dismantling: screening fee, sending cost, response rate

Single effective reply cost = (total screening cost + sending tool cost + labor cost) / number of effective replies

Among them:

• Total screen number cost: tg activation fee + tg activity fee (according to the real-time price of the console). For example, if you screen 10,000 items, it costs A yuan to enable detection and B yuan to activate detection.
• Sending Tool Fees: Private messaging tools are billed based on actual usage or the monthly fee is shared equally.
• Labor Cost: The time cost of configuring tasks and processing data.
• Effective number of replies: The number of people who actually replied to your private message.

Real scene comparison: ROI difference using active screen size vs. ordinary screen size

Project	Activate screen number only	Activate + active screen number
Number of numbers	10,000	10,000
Screen number activation fee	Refer to the console	Refer to the console
Active screening fee (7 days)	0	Refer to the console
Number sent	6,000 (assuming 60% active)	1,800 (assuming 30% active)
Number of valid replies	120 (reply rate 2%)	180 (reply rate 10%)
Total Cost	Higher (sent 6000 times)	Lower (sent only 1800 times)
Cost per effective reply	Definitely high	Definitely low

Conclusion: Although active screening numbers increase the cost of a single test, the overall ROI is significantly better due to the significant reduction in sending volume and the increase in response rate.

What is the difference between tg active data, tg activation and tg activity? When to use which one?

To help you make a quick decision, the following table lists applicable scenarios for the three detection types:

Detection type	Applicable scenarios	Precautions
tg activation	Cleaning the number package for the first time to remove unregistered numbers; used to verify data inventory	No activity information is provided
tg active	Precision marketing, high response rate goals; secondary screening based on existing accounts	Customizable active window, need to test activation first
tg Gender/Age	Targeted marketing (such as pushing to 30-year-old men)	Some packages also include active fields

Recommended screening scenarios: pure whitewashed data → only test activation; precision marketing → must test active

• If the number package you bought comes from an unknown source, first use “tg activation” to clear out the numbers without an account.
• If you want to do activities to attract new users or promote products, you must run “tg active” on the activated account, otherwise the messages you send will most likely go nowhere.

Field output differences: export differences of tgid and UID in active/activated/gender tasks

• tg activation: usually export mobile phone number and status, some packages support tgid.
• tg active: Export mobile phone number, tgid, active status, active days, gender, age (including data about 30 years old), etc.
• tg Gender: Focus on the gender field, which may also include activity.

If tgid is required for targeted sending, it is recommended to select a detection type with tgid export and view the field preview before submitting.

Practical steps: Filter tg active data in KK-DATA and improve ROI

The following takes KK-DATA Console as an example to describe the complete operation path (no screenshot required).

Step 1: Prepare number source (global generation/CSV import)

1. Log in to the console → click the “Number Generation” or “Data Source” module.
2. Select “Global number generation” to generate by country/number segment; or upload a CSV file (one number per line).
3. After the generation/upload is completed, the number will be automatically stored in “My Number Library”.

Step 2: Configure screening tasks (select tg active + active within specified days)

1. Click “New Screening Task” → select the detection type as “Telegram”.
2. Check the “tg active” subtype.
3. Select Last 7 Days or Last 30 Days (or a custom date range) in the Active Window drop-down list.
4. Select the cleaned number source from “My Number Library” (it is recommended to run tg activation in advance).
5. Check the “Estimated Fees” panel on the right to confirm that the balance is sufficient.
6. Click “Submit Task”.

Step 3: Export the results and use them for private message/group marketing

1. After the task is completed, enter the “Task Details” page and click the “Export” button.
2. Select the export format (CSV or TXT) and check the required fields (mobile phone number, tgid, active status, gender, age).
3. After downloading the file, use Excel or a script to filter “Active Status = Active”.
4. Import these active numbers into your private message sending tool for targeted contact.

Common mistakes: Why is your tg customer acquisition ROI always low?

Mistake 1: Only test activation but not activation

Many teams think that “it can be used as soon as it is activated”. As a result, the response rate after sending is dismal. Solution: Add active detection on the basis of account opening. The cost increase is limited, but the response rate doubles.

Mistake 2: Do not export tgid and send repeatedly

Some first-time users only use their mobile phone number to send, but the mobile phone number may be changed or canceled; it is recommended to export the tgid, and using tgid to send is more stable.

Mistake 3: Not considering local time zone

For example, if you filter out Saudi numbers that are active within 7 days, but send them late at night, the users will wake up and the messages will be flooded. Solution: Set the sending time window according to the target country’s time zone to increase the reach rate.

FAQ

**Q: Can tg active data filter out users who have been online within a few days? ** Answer: When creating a screening task in the KK-DATA console, you can customize the active window (such as active within 7 days, 30 days, or 90 days). Please refer to the task configuration page for specific supported window options.

**Q: What is the unit price of tg active screen number? ** Answer: The unit prices for different platforms and detection types are different and may be adjusted with the market. Please log in to the console https://app.kkdata.cc/ to view the real-time price. The estimated cost will also be displayed before the task is submitted.

**Q: What fields can be exported from the filtered tg active data? ** Answer: Usually includes mobile phone number, tgid, status (activated/active), activity, gender, age, etc. The specific export fields are subject to the detection package and task results you selected. It is recommended to view the field preview before submitting.

**Q: I only have 5,000 numbers. Is it worth specifically screening for activity? ** Answer: Worth it. Even if the number of numbers is small, filtering out active users can significantly improve message response rates. If the balance is sufficient, it is recommended to test the activation first and then actively screen the activated accounts to avoid waste.

**Q: Do the screening results contain country/region information? ** Answer: Some detection packages will output the country/region to which the number belongs. You can filter by country when generating numbers based on the target market (such as Southeast Asia and the Middle East), and then combine activity with targeted marketing.

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Accurately screening high-intention users through tg active data is the most direct way to improve the ROI of Telegram’s customer acquisition. Start your first round of active screening now.
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