A must-see for agency operations and studios: SOP for the entire process of acquiring male data from American TG—a practical guide from screening to acceptance

In the overseas customer acquisition and private domain drainage business, US TG male data (a collection of numbers marked as male among Telegram users in the United States) is an urgently needed resource in multiple vertical fields. Whether it is financial promotion, B2B lead mining, or social e-commerce targeting men, highly accurate American Telegram male numbers directly determine the private message reach rate and conversion ROI. However, obtaining these data in batches cannot be done by randomly shuffling numbers - the core issue facing the studio and agency operations team is: how to establish a set of standardized operating procedures (SOP) from generation, screening to acceptance, to ensure delivery quality while controlling costs.

Based on the actual functions of the KK-DATA screening platform, this article disassembles a set of implementable US tg male data to obtain SOP, covering task configuration, activity screening, gender field interpretation, acceptance form design and cost control techniques to help you efficiently deliver US telegram gender data and avoid wasted effort.

What is US TG male data? Why do agents and studios need it?

The so-called US TG male data refers to a collection of user numbers from Telegram accounts in the United States that are inferred to be male through account public information or behavioral models. This data usually includes dimensions such as the number itself, Telegram ID (tgid), activity status, gender tag, and age field (such as about 30 years old).

For agency operation studios, the value of this type of data is reflected in:

• Customer acquisition via private messages: Push product links, app downloads or event invitations to the TG audience. Male users usually have a higher response rate for financial, game, and tool products.
• Business docking: In the B2B scenario, direct links are connected to overseas agents and suppliers through Telegram, with a large proportion of male users.
• Scaled delivery: Party A’s projects often require targeted groups (such as “only men”), and the studio needs an efficient process to mass produce number packs that meet gender requirements.

But blind account washing—that is, sending verifications to U.S. numbers randomly without distinguishing gender or activity level—will quickly exhaust budgets, and the quality of delivery cannot be guaranteed. Therefore, refined screening and SOP management have become the key to profitability.

Typical scenarios and challenges in obtaining American Telegram male data

H3: Scenario 1: Financial/investment projects are only for male users

A cross-border financial agent wants to attract traffic through a Telegram group and requires that the push target must be male. If gender identification is not accurate, sending investment and financial products to women will waste costs at best, and trigger complaints at worst. Common challenges are: some screening tools on the market only provide basic activation detection and lack a gender field, resulting in studios having to use the method of “guessing + mass push”, with the empty number rate and invalid push being as high as 70% or more.

H3: Scenario 2: The studio needs to deliver large quantities to Party A

After the agent operation studio receives the order, it needs to deliver 100,000 pieces of American Telegram male data within 3 days, and Party A requires that the proportion of males should be ≥80% and the activity rate should be ≥60%. If you rely on manual cleaning or single-dimensional screening, it will be extremely difficult to meet the standards. What’s even more troublesome is that repeated testing of the same number will cause a waste of balance. If Party A finds that the data quality is not up to standard during acceptance, it may require rework or even compensation.

How to use KK-DATA to create efficient task SOP? (detailed explanation of steps)

The KK-DATA platform provides a complete pipeline of “number generation → screening task → data export”. The following SOP is specially designed for the acquisition of US TG male data. The entire process is generated free of charge and is deducted on a per-item basis. It is suitable for batch operations.

H3: Step 1: Global number generation (it is recommended to use the US number pool)

Log in to KK-DATA Console and enter the “Global Number Generation” module. Select the country “United States” and the system will display the number segment pool of 240+ countries. You can directly randomly generate US number segments, import your own North American CSV, or use the number segment generation tool to generate 1 million numbers at once.

Note: Generating is completely free and will not incur any fees. It is recommended to generate enough numbers (such as 500,000) at one time, and subsequent screening will only detect the number segments with higher pass rates to reduce screening costs.

H3: Step 2: Submit Telegram screening task (activation + activity + gender)

After generating the number, create a new Telegram number screening task in “Task Management”. Configuration points:

1. Check tg activation (registration test): confirm whether the number is registered with Telegram.
2. Check tg active: Set the active window (such as “within the past 7 days” or “within the past 30 days”) to filter only active users.
3. Check telegram gender data: This function will return gender (male/female) and age fields (such as “about 30 years old” string). Note: The age field is an interpretation of the user’s public information, not precise ID card data, but can be used for crowd portraits.

Before submitting the task, the system will display the estimated cost (see the real-time price on the console for details). After the task is completed, the balance will be deducted according to the number of tests, and you will pay as much as you use.

H3: Step 3: Export and rescreen

After the task is completed, export the CSV in the Download Center. The CSV will contain the following fields (subject to the actual console): number, tgid, activation tag, active tag, gender, age fields, etc.

Re-screening rule suggestions:

• Filter 性别 = 男 and 活跃标记 = 是.
• If Party A has age requirements (such as 25-35 years old), the age field (such as “about 30 years old”) can be used for secondary screening.
• Use Data Deduplication Warehouse to deduplicate numbers produced by multiple tasks to avoid repeated detection.

Acceptance form and re-screening rules: ensuring the quality of US TG male data delivery

Designing a quantifiable acceptance form and aligning standards with Party A in advance can significantly reduce delivery disputes. Here is a commonly used template:

Indicators	Qualification Criteria	Description
Number validity (activation rate)	≥75%	Proportion of submitted numbers that are actually registered with TG
Activity rate (last 30 days)	≥60%	Proportion of active users to total valid numbers
Proportion of men in U.S. telegram gender data	≥80%	After gender screening, male numbers account for the proportion of final delivery packages
Empty number rate	≤5%	Proportion of invalid numbers that still exist after filtering
Number quantity deviation rate	≤±5%	The difference between the actual delivery quantity and the contracted number

Re-screening rule supplement: In addition to gender and activity, you can further eliminate records whose age fields are “unknown” or do not meet the requirements; if the exported data contains avatar thumbnail links, you can also use image recognition tools for manual review (KK-DATA does not provide this function and needs to be handled by the studio itself).

Cost control secrets for agent operation studios: billing by item and batch re-screening

For studios, profit = price paid by customers - cost of screen size. If costs are not controlled, the cost of screening a single number may eat up most of the profit. Here are a few money-saving tips:

1. Test first and then screen: Use 1,000 numbers each time for small sample testing, observe the effectiveness of the US number segment and the proportion of males, and select the best ones.
2. Use and generate for free: There is no charge for global number generation. You can generate a large number of numbers at will, and only keep the number segments with a higher expected pass rate.
3. Data deduplication warehouse: Multiple tasks may repeatedly detect the same number, and the deduplication warehouse can automatically identify and avoid repeated deductions.
4. Pass-by-item billing without subscription: KK-DATA has no monthly subscription fee. Payment will be deducted only after the balance is recharged and the task is completed, and no fee will be deducted even if you hang up. Low financial pressure, suitable for start-up teams.

FAQ

**Q: How accurate is the identification of “male” in the US TG male data? ** Answer: KK-DATA’s tg gender detection is based on account public information and behavioral model inference. The accuracy is high but not 100%. It is recommended to combine auxiliary judgments such as activity and age fields, rather than relying on a single field.

**Q: If I only want active American male users, how do I configure the task? ** Answer: In the Telegram screening task, check “tg activation”, “tg active” (set the window for the past 7 days or 30 days) and “telegram gender data” at the same time, and filter by gender = male and active mark = active after exporting.

**Q: When the studio delivers batches, what key indicators should be included in the acceptance form? ** Answer: It is recommended to include: number validity (activation rate), activity rate (last 30 days), male proportion, empty number rate, and number deviation rate. The floating range can be agreed with Party A in advance to avoid disputes.

**Q: What proportion of the US numbers generated by the generation function are valid users after screening? ** Answer: The screening pass rate of randomly generated numbers is low (usually less than 10%), so it is recommended to generate numbers in batches first and then screen numbers in batches to control the cost of single screening. The hit rate can be improved through number segment optimization.

**Q: What advantages does KK-DATA’s pay-per-item model bring to studios? ** Answer: There is no need to subscribe to a package, you just pay for what you use. The cost of small batch testing is low, and fees will be deducted only after the task is completed, so there is little financial pressure. The data deduplication warehouse can also avoid repeated deductions for the same number.

---

Want to implement this SOP immediately to obtain high-quality American tg male data? From number generation to active gender screening, all in one click. Log in to KK-DATA Console immediately to start your first task; if you have any configuration questions, please contact customer service through two-way https://t.me/kkdata_robot for real-time help. For more usage, please refer to Usage Documentation and Official Website.