The studio efficiently delivers TG active data: complete SOP from number source generation to screening

For most overseas customer acquisition studios, delivering tg active data is the most common service in customer orders and one of the services that can most create stable income. Whether it is community recruitment, private message promotion, or customer asset generation, what customers ultimately need is not a bunch of unreachable numbers, but Telegram users who are “real online and can be contacted.”

However, when many studios deliver this type of data, they often get stuck in several aspects: the quality of the source is unstable, manual screening is too inefficient, and duplicate data causes costs to get out of control. This article will focus on a complete set of SOPs to break down how to efficiently complete tg active data orders from number source generation, activity screening to final delivery.

Demand scenario: Why does the studio need batch tg active data?

Customer demand for TG active data usually comes from the following real-life scenarios:

• Community Operation: Real users need to be invited into the Telegram group. Empty accounts or zombie accounts will lower the community activity indicator and affect subsequent conversions.
• Private message promotion: Send marketing messages to users with active behaviors, with higher read receipt rate and reply rate.
• Accurate customer acquisition: Combine gender, age and other dimensions to select the target group and then conduct targeted contact.

The traditional way of operating a studio is to manually open the Telegram chat window of each number to check the status, or to buy a second-hand list and gamble on luck. The former is extremely inefficient and cannot be scaled up, while the latter has a high data duplication rate and is easily returned by customers. The common weaknesses of both are: **The inability to control the activity window on demand and the inability to verify data quality before delivery. **

The emergence of the automated screening platform allows studios to obtain tg active data in batches with controllable costs and engineering means, solving these pain points in one step.

Comparison of common ways to obtain tg active data

Before choosing a technical path, the studio needs to clearly understand the differences between the three mainstream options.

Solution	Efficiency	Cost Structure	Data Accuracy	Risk
Self-built script	Low (needs maintenance, anti-blocking)	Development and bandwidth costs	Unstable	High risk of Telegram account ban
Buy loose numbers	Medium	Fixed unit price per thousand numbers	Unknown	High repetition rate, no after-sales service
Professional screening platform (such as KK-DATA)	High (batch processing about 1 million items/task)	Billed by item, pay as you use	Controllable (active window can be specified)	Low

Cost and efficiency of self-built scripts vs platform screening

Building a self-built Telegram account script seems to be a “once and for all” solution, but in fact it requires constant investment in Telegram’s anti-climbing upgrades, IP pool rotation, and account keep-alive. Once a key account is blocked, the entire business process will come to a halt. The platform solution isolates all head-to-head issues - the team only needs to focus on the customer needs themselves.

The accuracy of bulk purchase vs platform generation + screening

Many low-priced retail numbers on the market come from secondary sales through multiple channels, with unclear data sources and a mix of dead and duplicate numbers. Platforms like KK-DATA provide “global number generation → active screening” walking on two legs: you can directly generate random number segments for 240+ countries on the console, and then submit them for testing at one time. Exclude existing customer data from the source to reduce data pollution.

Data deduplication - the key to avoiding duplicate detection and wasting balances

Many studios make a mistake when using the screening platform for the first time: they directly merge and submit numbers from different customer sources, ignoring cross-task number deduplication. This repeated detection directly consumes the balance. KK-DATA provides data deduplication warehouse, all detected numbers are automatically cached, and the second fee will not be deducted for the same number. This is an efficient means of reducing operating costs.

How to use KK-DATA to efficiently filter tg active data (step by step)

If your team has decided to use a professional platform to deliver tg active data, the following process can be used as a standard reference template.

Step 1: Prepare number source—generate global number or import your own number

If you are a just-starting studio and have no historical number accumulation, you can directly use KK-DATA’s “Global Number Generation” function to select a target country (such as Indonesia, Brazil, the United States, Vietnam and other common markets), and the system will automatically generate a mobile phone number that conforms to the country’s number segment rules. This step is completely free and is saved in the console’s task list after generation.

If you have the stock number provided by the customer, import it directly as a CSV or TXT file. It is recommended to import the deduplication warehouse first to remove internal duplications.

Step 2: Submit tg activity detection task—customized activity window and gender filtering

Create a new detection task, select “Telegram” as the target platform, and check “tg active” for the detection type (you can also check “tg activated” as the basic detection).

Key settings:

• Active Window: Supports selecting preset values such as 7 days, 15 days, 30 days, 60 days, etc. The shorter the window, the more accurate the activity, and the cost per item will be correspondingly higher.
• Gender filtering: If your task needs to be targeted (such as “male users active within 30 days”), you can check the gender field to filter.
• Task Naming: It is recommended to name by customer + batch to facilitate subsequent reconciliation.

The estimated cost will be displayed before submitting the task, and you can submit it with one click after confirming it is correct. After the task is completed, the fee corresponding to the actual number of detected items will be automatically deducted from the balance.

Step 3: Integrate export results and data deduplication

After the task is completed, click Export in the “Task Details” of the console, and you can choose CSV or TXT format. The exported fields include: number, activation status, active status (yes/no), latest active date, gender, age (part), tgid, etc.

If you have multiple batches of results on hand, be sure to merge them again to remove duplicates. KK-DATA supports cross-task data deduplication warehouse, which can unify the numbers of different tasks before exporting to avoid duplicate numbers appearing in the same file.

Standard SOP for studio delivery of active rosters

Standardizing the above process allows different members of the team to perform the same steps, reducing human error.

Demand understanding - clarify the tg active data dimensions that customers need

Before each order is received, confirm the following list with the customer and write it into a paper or electronic work order:

• Target country/region: For example, “only covers Indonesia” -Activity window: 7 days/30 days/60 days?
• Is a gender or age field required: If so, is a specific gender required?
• Do you want a tgid or other unique identifying field?
• Delivery format: CSV, TXT? Do you need to rename specific columns?

Number source generation and deduplication - first use the global number generation tool to generate it for free

Based on customer coverage and quantity, use the KK-DATA global number generator to generate a basic number candidate pool. Then import all numbers (including your team’s own historical number sources) in the “Deduplication Warehouse” of the console, and the system will automatically eliminate the numbers that have been detected. This step can directly save 20% to 50% of testing costs.

Screen number execution and result reorganization—submit by batch, merge and export and secondary deduplication

• If a single task exceeds approximately 1 million items, it is recommended to split it into multiple sub-tasks for submission.
• After each task is completed, use the deduplication warehouse again to confirm uniqueness before exporting.
• The final output file is named according to customer requirements. It is recommended to attach a simple metadata description: detection time, active window, total number of items, and number of duplicates removed.

Core considerations when choosing tg active data detection platform

When choosing a platform, studios need to focus on evaluating the following three aspects:

Detection dimensions - whether to support tg activation, tg active, gender, tgid and other fields

Just “opened/not opened” is not enough. Higher-level requirements, such as “males active in the past 30 days” or “export tgid and user avatar link”, will directly affect whether customers are willing to repurchase. The detection results of KK-DATA are rich in fields, and the specific fields are subject to the real-time data export fields of the console.

Cost control - billing by item vs. monthly fee package, which one is more suitable for studios?

For studios with significant order fluctuations, per-item billing is the most beneficial model. There is no fixed monthly rent pressure. You can test it when there are many orders. The balance in the off-season will not expire in the account. As for the monthly package model, when the orders are small, it means a pure loss. It is recommended to choose a pure pay-as-you-go platform. Please see the billing page of each platform for details.

Data security - commission-free pumping system, anonymous recharge, task data can be exported

What studios are most worried about is that their customer lists are resold by the platform. Choosing a system like KK-DATA that provides anonymous deposits of USDT and is fully exportable with no risk of retention and duplication is crucial to the studio’s long-term reputation. In addition, after the Telegram task is completed, the system will notify you through the robot, saving the time of manual tracking.

FAQ

**Q: What is the difference between TG active data and TG activation data? **

Answer: tg activation only detects whether the number is registered with Telegram; tg activity detection will further determine whether the user is online within a certain time window, and is usually used to filter out reachable active users. Studio delivery prioritizes tg active data requirements.

**Q: How to customize the active window? **

Answer: When submitting a tg active detection task, you can specify the number of active days (such as 7 days, 15 days, 30 days, 60 days, etc.). The smaller the window, the higher the activity and the slightly higher price. See the real-time price on the console for details.

**Q: How many pieces of TG active data is recommended for the studio to test in the early stage? **

Answer: It is recommended to start with a small-scale test run, such as 10,000 pieces of test data, to verify the screening quality and cost structure; after confirmation, expand to 100,000-1 million pieces to avoid excessive recharge at one time.

**Q: What fields does the tg active data result of KK-DATA contain? **

Answer: Including activation status, active status (yes/no), latest active date (accurate to the day), gender, age (partial), tgid, etc. You can select optional fields when exporting, and the details are subject to the real-time data of the console.

**Q: If the balance is insufficient after detection, what will happen to the tasks that have been submitted? **

Answer: The balance must be sufficient when submitting the task (the estimated fee will be displayed); it will be deducted from the balance after the task is completed. If the balance is insufficient, the task will not fail, but you need to recharge in time to continue submitting new tasks.

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Delivering high-quality tg active data is the foundation on which studios build long-term client relationships. Through standardized number source generation + deduplication + active number screening + SOP process, the trial and error cost of delivery can be significantly reduced and customer satisfaction improved. Now you can log in to the KK-DATA console and quickly set up your team’s production line.

👉Log in to the console to start screening numbers

If you encounter any problems during practice, or want to communicate directly with the operations staff, you can get immediate help through the two-way customer service robot: https://t.me/kkdata_robot

For more operating documents, please visit:https://docs.kkdata.cc/