Studio Telegram Screening SOP: How Agency Teams Deliver Valid, Active TG Data in Bulk

In the overseas marketing field, studio Telegram screening has become a core process for agency teams to extract high‑quality user data from “raw number pools.” Studios without a Standard Operating Procedure (SOP) often face issues like duplicate data, inconsistent quality, and client complaints. This article lays out a reusable delivery standard—from number generation and multi‑dimensional screening to data packaging—to help studios improve delivery efficiency and customer satisfaction.

What Is Studio Telegram Screening, and Why Do You Need a Standard Process?

Studio Telegram screening refers to the process where agency teams use bulk detection tools to filter numbers from their own or collected number pools—identifying those that are registered on Telegram, in valid status, or even with a certain level of activity or specified gender. This step directly determines the effectiveness of subsequent marketing activities such as community growth, private message promotion, and TG follower acquisition.

Without an SOP, studios commonly encounter:

• Duplicate data: The same number is screened multiple times, wasting balance and delivering duplicate data to clients.
• Inconsistent quality: Different operators have different understandings of “valid” and “active,” leading to uneven results.
• Delivery disputes: Clients question data authenticity, and the studio lacks traceable screening records.

A standardized process turns “experience‑driven” into “process‑driven,” ensuring any new team member can quickly onboard and deliver stable, reliable data.

Core Requirements for Studio Screening: From “Getting Screened” to “Delivering Properly”

Clients of agency teams typically demand “correct count, correct quality, correct format.” Correct count means accurate quantity and no duplicates; correct quality means activity level, gender, and other indicators meet expectations; correct format means the delivery file has clear columns and complete fields. The key to achieving these is process standardization.

Uniform Delivery Fields and Format

It is recommended to always deliver in CSV format with the following standard columns (fixed order):

Column	Description	Example
Phone	International format number	8613800138000
Platform	Platform label	Telegram
Status	Registered / Valid / Active / Invalid	active
Gender	Gender (if available)	male / female / unknown
ActivityDays	Activity window (e.g., 7 days)	7
ScreeningTime	Screening completion time	2025-04-01 14:30

Such a template makes the data clear to clients and easy for the studio to verify internally.

Data Deduplication and Traceability

Using a data deduplication repository is a powerful way to avoid repeated detection and enhance data value. The same number pool may be required to be screened for different dimensions (e.g., gender vs. activity) by different clients. Re‑detecting each time wastes balance, and clients may question data freshness if they receive duplicate numbers. The deduplication repository automatically identifies already‑screened numbers, skips repeated detection, and retains the first screening timestamp for each number as proof of “exclusive data.”

Standard Operating Procedure (SOP): Five Steps

The following five steps apply to daily tasks of hundreds of thousands to millions of TG screening records. Studios can adjust according to actual scale.

Step 1: Number Source Preparation and Cleaning

Operations:

• Use KK‑DATA’s Global Number Generation module (free) to generate raw numbers by country, prefix, or randomly. You can also upload a custom CSV file.
• Perform basic cleaning: remove spaces, non‑numeric characters, and unify to international format (e.g., 8613800138000).
• Import existing numbers into the data deduplication repository to exclude previously screened numbers and avoid double charges.

Checkpoints:

• The number list has no empty rows or duplicate rows.
• Quantity matches expectations.

Step 2: Task Configuration and Submission

Operations:

• Log into the console at https://app.kkdata.cc/ and create a screening task. Select detection types:
  • tg registered: Checks whether the number has a Telegram registration (most basic).
  • tg valid: Can receive messages normally (recent online record).
  • tg active: Has shown activity (e.g., sent messages, logged in) within a specified number of days (7/15/30).
  • Gender identification: Uses avatar AI to determine gender (not 100% accurate; should be noted in delivery).
• Estimated cost: displayed automatically before submission. If balance is insufficient, the task cannot be submitted.
• Optional: Set up task notifications via Telegram.

Checkpoints:

• Detection type matches client requirements.
• Sufficient balance.

Step 3: Result Export and Secondary Quality Check

Operations:

• After task completion, export results in CSV or TXT format.
• Recommended: sample 5% for manual verification: Use your own Telegram account to search the numbers and check if account info appears and if the active status matches the label. This step uncovers deviations in advance and reduces client complaints.

Checkpoints:

• Sample accuracy rate ≥ 95% is acceptable; below this, consider re‑screening or adjusting detection strategy.

Step 4: Data Packaging and Delivery Standards

Operations:

• Rename columns or add notes according to client requirements (e.g., “data does not need gender column”).
• Compress and encrypt the result file (e.g., ZIP with password) and send through a secure channel.
• Prepare delivery documentation: includes screening time, detection type, total count, sampling verification results.

Checkpoints:

• File naming convention: [ClientName]_[YYYY-MM-DD]_[ScreeningType]_Quantity.csv
• Send the archive password separately.

Step 5: Task Archiving and Review

Operations:

• Build an internal database recording each task: client name, task ID, balance consumed, result count, quality feedback.
• Regular analysis: Which detection type has the lowest return rate? Which activity window suits the client’s marketing scenario best? Continuously optimize number sources and detection strategies.

How to Explain “Registered” vs. “Active” to Clients?

Agency teams are often asked: “Why is it marked valid when the user never sent a message?” Here is a clear three‑tier distinction:

Detection Type	Meaning	Marketing Use Case
tg registered	Has a registration record (may be abandoned)	Basic pool for growth lists
tg valid	Can receive messages recently (at least has logged in)	Private message promotion, group invites
tg active (7/15/30 days)	Had behavior within the specified days (sent/received messages, logged in, etc.)	Precision targeting of high‑value users

Recommend according to client budget and goals: budget‑constrained choose “valid”, conversion‑focused choose “active”. Gender identification is a value‑added item; inform clients that accuracy is around 80‑90% (based on avatars) and should not be the sole filter.

Common Issues in Agency Scenarios and Solutions

What if a client asks for “male numbers” but gender results are inaccurate?

Gender identification is based on avatar AI and cannot guarantee 100% accuracy. When delivering, add a “gender_confident” column (high/low) or mark “unknown” in the CSV. If the client requires strict filtering, you can set an option to exclude “gender=unknown,” but this will reduce quantity. Clarify the limitations of gender identification in the contract beforehand.

What is the maximum number of numbers per task?

Currently, a single task supports up to approximately 1 million numbers. Most daily tasks for studios are in the hundreds of thousands, which is sufficient. If you exceed the limit, split the task into multiple batches. Be careful not to re‑import the same number pool into the deduplication repository across splits to avoid misjudgment.

How to handle invalid numbers mixed into the results?

Even when selecting “valid” or “active” detection, a small number of invalid numbers may still appear due to network latency or status changes. It is recommended to perform a second cross‑detection: use RCS empty number detection for further filtering (additional fee applies). The studio can state in the delivery documentation “status as of the screening time window” and retain the original results for reference.

Frequently Asked Questions

Q: The studio does not have its own number pool. How can we obtain raw numbers?
A: Use KK‑DATA’s Global Number Generation module. Select country, prefix, or random generation. Generation is free; screening charges apply per number. You can also upload your own custom CSV file.

Q: How long does a screening task take after submission?
A: Depends on the number of records and detection type. Tasks with hundreds of thousands of records typically finish in a few minutes to a few tens of minutes. Telegram notifications can be sent upon completion. Check the console task status for specific timing.

Q: Will the same number be charged twice in different tasks?
A: No. KK‑DATA provides a data deduplication repository that automatically identifies already‑screened numbers across tasks and skips them, avoiding wasted balance. It is recommended to import previous task results into the deduplication repository before submitting a new task.

Q: How can I export data with gender and activity columns for a client?
A: When configuring the task, check “Telegram gender identification” and select an activity window (e.g., 7, 15, or 30 days). Exporting as CSV will give you the corresponding columns. It is advisable to sample and verify before delivery.

Q: Can I get a refund if I don’t use up my balance?
A: Recharged balance is only used for screening deductions and is non‑refundable. Estimate your task volume and recharge the required amount to avoid over‑recharging. The minimum USDT top‑up is about 50 USDT.

---

This is the complete SOP for studio Telegram screening. From number preparation to delivery review, every step can be implemented on the KK‑DATA platform. Log into the console now to create your first task:

👉 Log in to the console to start screening

If you have any operational questions, you can get real‑time help from the two‑way customer service bot: https://t.me/kkdata_robot

For more documentation, visit https://docs.kkdata.cc/