How to obtain high-quality tg active data with limited budget? Budget planning and practical guide

Obtaining high-quality tg activity data is a key requirement for overseas marketing and community operations teams. However, many teams operate directly without budget planning, resulting in confusion in the number pool, repeated testing that consumes balances, and even obtaining a large number of inactive numbers. This article will provide a set of implementable planning solutions from budget calculation, detection sequence, number generation to export and utilization, to help you extract the value of each number at a limited cost.

What is tg active data? Why is budget planning important?

tg active data refers to user data that has logged in, sent and received messages, group operations, etc. on Telegram within a certain time window (such as 7 days, 15 days, or 30 days). Different from numbers that only verify whether they are activated (registered), active numbers are more likely to be real users who are still using it recently, and are more valuable for scenarios such as group invitations, message push, and red envelope drainage.

If there is no budget planning and direct full-type detection (activation + activity + gender) on a large number of numbers, it may lead to:

• Charges will be deducted for invalid numbers (unregistered);
• The same batch of numbers are repeatedly detected in different tasks, resulting in a waste of balance;
• The active window obtained is too wide, the data quality is not up to standard, and the actual conversion rate is low.

Therefore, before starting any screening task, it is recommended to use the following three-step method to frame the budget range.

How to estimate your tg active data budget? (three-step method)

The core formula for budget estimation is: Budget cost = number of number pools × sum of unit prices of each detection type.
The unit price is based on the real-time price of the platform, and the calculation framework is provided here.

Step 1: Determine the target number pool size

The sources of number pools include the following:

• Global number generation: Select the country, number segment, and quantity in the KK-DATA console to generate a target number for free;
• Custom number segment CSV import: If you already have a list of potential customers’ mobile phone numbers, you can upload it directly;
• Historical Data Reuse: Use database deduplication warehouse to avoid repeated deduction of balances.

Common number pool magnitude reference:

• Small team test: 5000 items
• Medium-scale customer acquisition: 50,000
• Batch precision marketing: more than 200,000 items

Step 2: Select detection type and unit price estimate

For Telegram screens, common detection types and their cost levels are as follows:

Test type	Description	Unit price level
tg activation	Verify whether the number has been registered with Telegram	Minimum
tg active	Determine if the number has logged in within the specified window (7/15/30 days)	Medium
tg gender	Detect the gender, age and other fields of the account associated with the mobile phone number	Higher

Strategic Suggestion: If the budget is tight, give priority to enabling detection → and then perform activity detection on the activated number; gender detection is more expensive and should only be added when there are clear requirements for crowd profiling. The specific unit price is subject to the real-time price of the console.

Step 3: Use the balance pre-display function to control expenses

The system will automatically display the estimated cost before submitting the task in the KK-DATA console. You can adjust the number of numbers or detection type at any time to ensure you don’t exceed your current balance. If the balance is insufficient, the task cannot be submitted and you need to recharge first (minimum of about 50 USDT).

When the budget is tight, which testing sequence is the most cost-effective?

It is recommended to adopt funnel detection strategy:

1. Activate first: Filter out unregistered numbers and only deduct fees for those that have been activated;
2. Reactivation detection: Verify the active window of the activated account and exclude silent users;
3. Final Gender Detection: Superimpose the gender/age field on the active number to accurately screen the population.

In this way, each number will go through up to three levels of screening, but each step will not be repeated deductions (the deduplication warehouse will automatically identify the same number), so the costs will be broken down rather than added up.

How to use the global number generation module to expand the number pool for free?

KK-DATA’s global number generation function is completely free, no matter how many numbers are generated, there will be no deductions. Billing is per entry only when these numbers are submitted to a screening task.

Operation Suggestions:

• First determine the target market (such as Southeast Asia, the Middle East, and Latin America) and select the corresponding country number segment;
• Use the “custom number segment CSV import” or “global number segment generation” function to generate 50,000 to 300,000 potential numbers;
• Save the numbers to the task list and then perform screening and testing in batches.

In this way, you have a free, clean, and reusable number pool, and you only need to pay for effective detection in the future.

How to export and utilize tg active data after filtering is completed?

After filtering is completed, export the results in the console, supporting CSV and TXT formats. Exported fields typically include: -Mobile phone number -tgid -Activity label (e.g. “Active for 7 days”)

• Gender (if tested)
• Age (if tested)

You can import this data into Telegram mass messaging tools, CRM or automated marketing systems to achieve targeted reach. For example:

• Send product promotion messages to “30-day active + male” users;
• Push coupon links to “7-day active + female” users.

3 common mistakes in budget planning and how to avoid them

1. Error: Failure to remove duplicates first results in repeated deductions Solution: Before each new task, import the historical numbers of previous tasks into the deduplication warehouse. If there are already 10,000 numbers that have been activated and tested, the fees will not be deducted again when the test is active.

2. Error: Detecting all types (activated + active + gender) at once causes waste Solution: Adopt a funnel strategy and test in batches. If gender data is not required, just activate + activate.

3. Error: Ignoring active window definition resulting in reduced data quality Solution: Choose active windows based on marketing timeliness. For example, 7-day active is suitable for short-term event invitations, and 15-day/30-day active is suitable for long-term user tracking.

Budget reference plans in different scenarios (based on the real-time price of the console)

The following compares three typical scenarios to help you understand how to apply the budget calculation framework. For specific costs, please log in to the console to view the real-time unit price.

Scenario A: Small team testing

Goal: Get 1000 active users Operation process:

• Generate 5000 target country numbers (free)
• Test activation first, estimated activation rate is 60% → get 3000 activation numbers
• Detect 3000 active accounts for 7 days of activity, estimated activity rate is 40% → get 1200 active accounts
• Export active accounts separately for group testing

Scenario B: Medium-scale customer acquisition

Target: 10,000 male users aged 30+ Operation process:

• Generate 50,000 numbers
• Test activation → Obtain about 30,000 activation numbers
• Detect 30 days of activity → Get about 15,000 active accounts
• Detect gender (including age field) of active accounts → filter out about 10,000 target groups

Scenario C: Batch precision marketing

Goal: 100,000 active female users Operation process:

• Generate 300,000 numbers
• Inspection is launched in batches, and it is coordinated with the deduplication warehouse to avoid duplication.
• Detect active accounts for 15 days → Get about 120,000 active accounts
• Detect gender → Screen out about 100,000 active women
• Multi-format export (CSV/TXT) and then import into marketing tools

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FAQ

**Q: How to choose the “active window” in tg active data? ** Answer: The active window refers to the time range when the user last logged into Telegram, which can be 7 days, 15 days, 30 days, etc. The shorter the window, the more active the user, but the lower the number of matches. It is recommended to choose based on marketing timeliness. For example, a 7-day active window is recommended for group message push, and 30 days are optional for long-term tracking.

**Q: What is the difference between tg active detection and tg activation detection? ** Answer: The activation test only verifies whether the mobile phone number is registered with Telegram, and does not determine the login behavior; the activity test further determines whether the number has logged in/operated within the specified time window. When the budget is limited, it is recommended to activate the detection first, and then perform active detection on the activated number to avoid paying for invalid numbers.

**Q: Do you need to consider deduplication when planning your budget? ** Answer: Yes. KK-DATA provides a data deduplication warehouse and automatically deduplicates cross-task numbers. It is recommended to import the historical number database before each new task to avoid repeatedly detecting the same number. Duplicate detection wastes balance, and deduplication can save up to 20%–40%.

**Q: Is the age field in tg active data accurate? ** Answer: The age field is included in the tg gender detection results. This field is derived from the personal information filled in by Telegram users (not real-name authentication). It can be used to screen people “about 30 years old”, etc., but it is not guaranteed to be consistent with the ID card. Please use it as a reference for marketing preferences and do not use it for identity verification.

**Q: What happens if the balance is insufficient? ** Answer: New tasks cannot be submitted due to insufficient balance. The system will display the estimated cost before submitting the task, and prompt you to recharge if the balance is insufficient. It is recommended that each recharge should at least cover the estimated cost of the current task (minimum of about 50 USDT), and the balance will be automatically credited after the recharge.

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👉Log in to the console to start filtering Plan your tg active data budget immediately.
Two-way contact customer service https://t.me/kkdata_robot for one-on-one assistance.
For more usage instructions, please see Usage Documentation.
Official website homepage: https://kkdata.cc/