How to Evaluate the Quality of US TG Numbers? Key Metrics, Sampling Methods, and Practical Guide

In Telegram overseas marketing, number quality directly determines reach rate, conversion rate, and account safety. Many teams invest significant effort in bulk importing numbers, only to find a large number of invalid, inactive, or gender-mismatched accounts—wasting budget and potentially leading to marketing account bans. How to scientifically evaluate the quality of US TG numbers? This article provides a practical guide from core metrics, sampling methods to a complete workflow.

What is US TG Number Quality? Why Does It Determine Marketing Success?

US TG number quality refers to the comprehensive performance of a Telegram account across three dimensions: registration status, online activity, and user attributes (such as gender). Marketing teams need real users with a strong willingness to interact, not a bunch of zombie accounts that “never went online after registration.” If quality assessment is ignored:

• Invalid numbers (not registered on Telegram) directly consume detection costs with zero reach value.
• Low-activity numbers have extremely low open rates after contact, dragging down conversion metrics.
• Missing or inaccurate gender labels lead to mismatched targeting, such as pushing beauty products to male users.

Therefore, before using numbers in bulk, establishing a US TG number quality assessment system is the foundation for acquiring customers. Below, we break down three core indicators.

Core Quality Indicators for US TG Numbers: Validity, Activity, Gender

Validity (Registration Check) – Whether the Number Has Activated Telegram

Validity rate refers to the proportion of target numbers that have actually registered a Telegram account. This is the most basic detection dimension. Through real-time detection (i.e., “TG activation” check), you can determine whether each number is registered on Telegram’s servers. Invalid numbers include unregistered numbers, empty numbers, carrier-suspended numbers, etc. Invalid numbers must be removed before any marketing activity, otherwise all subsequent actions are wasted. A healthy number pool typically has a validity rate of 60%-80% or higher (depending on the number source). Note: No source can guarantee 100% validity; independent verification is necessary for large-scale use.

Activity – Recent Online Time Window (7/15/30 days)

Activity rate refers to the proportion of valid numbers that have shown online behavior within a recent specified number of days (e.g., 7 days, 15 days, 30 days). Activity is key to evaluating how actively a number is used. Even if a number has registered Telegram, if it hasn’t logged in for half a year, it’s unlikely to generate interaction. The shorter the activity window, the higher the probability a user responds to messages. For example, numbers active within 7 days may have an open rate several times higher than those active within 30 days. Different marketing scenarios may choose different windows: for promotional campaigns, a 7-day active pool is recommended; for brand content, 15 or 30 days may be used.

Gender Recognition – Value of Avatar Recognition for Precise Targeting

Using AI recognition based on Telegram avatars, numbers can be tagged with gender labels (male, female, or unknown). This is very practical for targeting scenarios that require gender specificity, such as female products or male games. However, the accuracy of gender recognition is affected by avatar styles (real person, cartoon, blank, etc.), so it’s recommended to use it as an auxiliary indicator in combination with other dimensions.

How to Quickly Assess US TG Number Quality Through Sampling?

After purchasing or generating numbers in bulk, you don’t need to test all at once. First, conduct a small sample spot check, verify overall quality with data, and then decide on full-scale investment. This can effectively control risk.

Basic Principles of Sampling and Sample Size Recommendations

• Random stratified sampling: Extract numbers by number segments or source batches separately to avoid concentrating on one segment.
• Sample size: Suggested 5%-10% of the total, and no less than 500 records. For example, if you have 50,000 numbers, extracting 2,500–5,000 for testing can provide statistically significant confidence intervals.
• Detection indicators: Simultaneously check validity, activity (choose one window, e.g., 7 days), and gender. Use the sample results to estimate the overall validity rate and activity rate, and compare with expected values.

Using Screening Tools for Batch Verification and Result Analysis

Utilize professional screening platforms (e.g., KK-DATA) to submit sampling tasks: import the extracted numbers into the console, select detection types such as “TG activation”, “TG active (specify 7 days)”, “gender recognition”, and submit the task. After completion, export the results to calculate validity rate and activity rate. If the validity rate is below 50% or the activity rate below 30%, it is recommended to change the number source or reconsider the collection strategy.

Common Factors Affecting US TG Number Quality

Why might the validity or activity rate be lower than expected? Common reasons include:

• Number source from inactive user pools: For example, numbers scraped from old data or uncleaned website registration information may be long unused.
• Carrier number recycling: Numbers that were once registered but not used for a long time may be recycled by carriers, making the original Telegram account invalid.
• Long time since registration without login: Even if the number is valid, the user may have abandoned Telegram.
• Fake registrations or temporary numbers: Some numbers are registered with disposable virtual numbers and become invalid quickly.
• Platform detection fluctuations: Telegram servers occasionally experience fluctuations, leading to deviations in one-time detection results. It’s recommended to repeat sampling or take the average of multiple tests.

From Number Generation to Screening: Building a US TG Number Quality Inspection Pipeline

Integrating number generation, multi-dimensional screening, deduplication, and export into a workflow can greatly improve efficiency. Below is a general platform operational steps example (not specific to any product).

Step 1: Global Number Generation (Free)

Before screening, you need a candidate number pool. Use the number generation feature to generate numbers in bulk for the US (US country code +1) or specific regions. Generation is usually free and can produce tens of thousands or more numbers as base material. Note: Generated numbers are only random numbers or segment fillings; they have not been verified as registered on Telegram, so they cannot be used directly for marketing.

Step 2: Multi-Dimensional Screening (Validity + Activity + Gender)

Import the generated numbers into a screening task (or directly use the export file from the generation module) and select the following detection types:

• TG activation (validity)
• TG active (specify 7/15/30 days)
• Gender recognition

After submitting the task, the platform will perform asynchronous detection. Upon completion, each number will be tagged with labels such as valid, active_7d, gender, etc. Charges are deducted based on the actual number of detections (specific unit price can be seen in the console real-time pricing).

Step 3: Deduplication and Export

Many marketing teams frequently import new numbers, causing the same number to be detected multiple times and wasting balance. Using the platform’s data deduplication warehouse feature, duplicate numbers can be automatically identified across tasks and only detected once. The screening results can be exported in CSV or TXT format, and later imported directly into Telegram sending tools, CRM systems, or advertising platforms.

Practical Steps for US TG Number Quality Assessment (Using KK-DATA as an Example)

Below is a complete quality assessment process for you to copy and use:

1. Collect numbers: Obtain a list of US numbers from your channel (purchase, collection, or generation), formatted as one number per line (including country code +1).
2. Import into the system: Log in to KK-DATA Console, create a new task, and upload the number file.
3. Configure detection indicators: Select “TG activation”, “TG active” (suggest testing 7-day window first), and “gender recognition”. The system will display estimated costs (charged per detection; see console real-time pricing for details).
4. Submit the task: Confirm sufficient balance and submit. Task progress can be viewed in the console, and you will be notified via Telegram notification upon completion.
5. View task report: Export the results to get each number’s validity status, whether active within 7 days, and gender label (male/female/unknown).
6. Analyze quality metric distribution: Calculate validity rate = number of valid numbers / total detected numbers; activity rate = number of active numbers within 7 days / number of valid numbers. For example: total detected 1000, valid 720 (validity rate 72%), of which active 480 (activity rate 66.7%). Gender distribution can assist subsequent targeting.
7. Decide whether to use for marketing: Based on your standards (e.g., validity rate >70%, activity rate >50%), decide whether to use the entire batch. If quality fails, discard or change the source.

Notes:

• Do not submit large tasks when the balance is insufficient to avoid task failure.
• Take the average of multiple spot checks to reduce single-time random errors.
• Use the data deduplication warehouse to avoid duplicate detection of the same number.

How to Optimize Your Telegram Marketing Strategy Based on Quality Metrics?

After obtaining the detection report, don’t just look at the numbers; translate them into action:

• Low validity rate (less than 50%): Immediately stop using that number source, change suppliers or collection methods. Also check if the number segments tend to be recycled.
• High validity rate but low activity rate (less than 30%): Indicates many “zombie numbers” that were registered but long unused. Such numbers are not suitable for immediate interaction marketing. You can try reducing contact frequency or abandon them.
• High activity rate (>60%): This part is a high-quality pool; increase contact frequency and conduct A/B testing to boost conversions.
• Gender labels: For products targeting specific genders (e.g., female cosmetics, male games), prioritize numbers identified as the corresponding gender. For numbers with unknown gender, include them in general push campaigns.

Additionally, choose different strategies based on the activity window: use 7-day active pool for time-limited activities and promotional notices; use 15-30 day active pool for brand content and educational pushes. Regularly re-sample the same number pool because activity status changes dynamically.

FAQ

Q: Can US TG numbers be tested for multiple dimensions in one detection? Does it require multiple tests?
A: Mainstream screening platforms support simultaneous detection of multiple dimensions in a single task, such as validity, activity, and gender. It is recommended to configure all needed indicators at once to avoid duplicate charges. For example, when creating a task in the KK-DATA console, check multiple detection types, and export multi-tag results upon completion.

Q: How to choose the activity rate window (7/15/30 days)?
A: Depends on your marketing goal. If pushing promotions or time-limited offers, choose a 7-day activity window for the highest user response probability; for brand content or long-cycle conversions, 15 or 30 days are sufficient to avoid over-screening and shrinking the pool too much. It’s recommended to test the 7-day window first and adjust based on results.

Q: What is the deduction rule for balance after number screening?
A: Charges are based on the actual number of detections. Different platforms or detection types have different unit prices; see the console real-time pricing for details. The system shows an estimated cost before the task starts; insufficient balance prevents submission. Recharge using USDT (TRC20), minimum about 50 USDT; balance updates automatically after arrival.

Q: Why is the validity rate of my tested numbers very low?
A: Possible reasons include: the number source is old data, carrier recycling segments, fake registrations, etc. It is recommended to change number segments or channels and request a recent sample report from the supplier before purchasing. Also note that network fluctuations during detection may cause occasional misjudgments; you can repeat the sample test for verification.

Q: Is gender recognition accurate? Can it be fully relied upon?
A: Avatar-based gender recognition accuracy is affected by avatar content (e.g., cartoon, scenery, group photos), generally reaching 70%-85%. It works better for real-person avatars. It is recommended to use gender labels as an auxiliary targeting condition, not the sole criterion. Combined with high-activity numbers, the effect is more stable.

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By scientifically evaluating US TG number quality, you can spend your marketing budget on users who can actually be reached. From sampling to full-scale screening, to optimizing strategies based on indicators, every step saves costs and improves results. Try it now: 👉 Log in to the console to start screening; if you have any questions, you can contact customer service. For more documentation, visit https://docs.kkdata.cc/.