US active TG source acceptance score sheet: comprehensive evaluation from format, duplication rate, opening rate to data freshness

#US active TG source acceptance score sheet: comprehensive evaluation from format, duplication rate, opening rate to data freshness

Among overseas customers, American Telegram users are a high-value group, but the quality of active TG sources in the United States is uneven. If you have purchased or generated a number list in batches, you must have encountered: the number format is disordered, the duplication rate exceeds 50%, the activation rate is only single digits, or you find that most of them have expired as soon as you get them. These problems directly lead to waste of testing costs, poor promotion effects, and low team efficiency.

How to systematically accept a piece of US TG activity data? This article will establish a set of practical rating tables, starting from four core dimensions (format completeness, repetition rate, activation rate, data freshness), and teach you step by step to evaluate the quality of US Telegram active numbers from any source. Whether you collect it yourself, buy it, or generate it through a tool, this method can help you quickly judge whether it is worth investing in the screening cost.

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Why do US active TG sources require acceptance scores?

American TG active numbers play a core role in North American community marketing, private message promotion, and fission growth. High-quality US TG active data means higher user response rates and lower invalid push costs. But the actual situation is that many teams directly submit the screening numbers after getting the number list, and they find that:

Three major costs of low-quality sources

• Waste of testing fees: Duplicate numbers are deducted multiple times, and numbers with low activation rates occupy a large amount of testing quota.
• Poor promotion effect: A large number of invalid numbers lead to failed sending, increased risk of account ban, and decreased overall conversion rate.
• Out of control time cost: Manual cleaning of formats, deduplication, and verification takes up a lot of operator time.

Core Objectives of the Acceptance Rating Sheet

The acceptance score sheet is not for the sake of scoring, but to help the team predict the quality of the data before submitting the screening task, thereby saving costs and improving screening efficiency. Through four-dimensional quantitative evaluation, you can decide in a few minutes whether to use it directly, need to clean it, or discard it.

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The four major dimensions of the US active TG source acceptance score sheet

The following are the four dimensions of the rating scale. Each dimension is scored from 0 to 25 points, with a total score of 100 points. The weight can be adjusted according to needs during actual acceptance.

Dimension 1: Format integrity - number format, country code, international format verification

Definition: Check whether each record in the number list conforms to the international phone format. In particular, the US number must contain the +1 country code, and the number must be 10 digits (when the country code is not included). Common problems include: missing country code, containing spaces/brackets, wrong digits, non-numeric characters.

Evaluation Method:

1. Randomly select 100-500 numbers and use tools (such as Excel or regular expression) to check the format.
2. Calculate the proportion of numbers with qualified format.

Scoring Criteria:

• 25 points: ≥95% of the numbers are in correct format (including +1, no special characters, 10 digits).
• 15 points: 80%–94% formatted correctly.
• 5 points: 50%–79% formatted correctly.
• 0 points: less than 50% of the format is correct.

Dimension 2: Repetition rate - cross-task deduplication and internal duplication detection

Definition: Internal duplication (duplication within the same list) and cross-task duplication (duplication with historical detected numbers) will directly lead to waste of balance.

Evaluation Method:

1. Count the number of unique numbers in the list and divide by the total number to get the repetition rate.
2. If there are already historical tasks, you can import the deduplication library (such as KK-DATA’s [Data Deduplication Warehouse] (https://docs.kkdata.cc/)) to detect cross-task duplication in batches.

Scoring Criteria:

• 25 points: repetition rate ≤5%.
• 15 points: repetition rate 6%–15%.
• 5 points: repetition rate 16%–30%.
• 0 points: repetition rate >30%.

Dimension three: activation rate - validity of US TG active numbers (registration/activity detection)

Definition: This is the core dimension, which refers to the proportion of numbers that are actually registered for Telegram and active within the specified time window. Note: “Opening rate” (registration) and “activity rate” (recent actions) are different. Priority should be paid to the activity rate when accepting.

Evaluation Method:

1. Extract 200-500 numbers and use screening tools (such as KK-DATA’s Telegram screening capabilities) to detect “tg activation” or “tg active”.
2. Calculate the proportion of active numbers after detection. KK-DATA’s “tg active” detection can specify the active window (such as within 7 days, within 30 days).

Scoring Criteria:

• 25 points: activity rate ≥ 40% (common benchmark for US numbers).
• 15 points: activity rate 20%–39%.
• 5 points: activity rate 10%–19%.
• 0 points: The activity rate is less than 10%.

Dimension 4: Data freshness - the impact of number generation/collection time on active status

Definition: The longer the source of the number, the greater the change in the number status (logout, dormancy, number change). If the data generated by the number segment is based on the latest number segment rules, it will generally be fresher; however, public collection packages from a few years ago may be invalid in large numbers.

Evaluation Method:

1. Ask for the date the data source was generated or collected.
2. If there is no date information, you can infer by detecting the activity rate on a small scale: If the activity rate is lower than the benchmark in the same region, it is likely because the data is stale.
3. The freshness of the data generated by the number segment is related to the update time of the number segment library.

Scoring Criteria:

• 25 points: Data generation/collection time is within the last 1 month.
• 15 points: within 1–3 months.
• 5 points: within 3–6 months.
• 0 points: more than 6 months or no clear time mark.

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How to manually accept a copy of US active TG data?

If you don’t want to use tools for the time being, you can follow the steps below to quickly accept manually:

1. Sampling: Randomly select 500 numbers from the list as samples.
2. Format Check: Use a text editor or Excel to check whether it contains +1 and whether the length is 11 digits (including +1) or 10 digits (exclusive). Record the number of nonconformities.
3. Duplicate Statistics: Use Excel’s “Delete Duplicates” or formula to count the number of duplicates.
4. Small-scale verification: Submit the sample to the KK-DATA console (https://app.kkdata.cc/), select the “tg active” test, and the fee is billed on a per-item basis (see the console’s real-time price for details). Check the activity rate after the detection is completed.
5. Judge freshness: Comprehensive evaluation based on activity rate and source time.

Manual acceptance is applicable when the data volume of a single task is less than 10,000. When the amount of data is larger, it is recommended to use automated tools.

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How to use tools to automatically complete the acceptance of active TG sources in the United States?

When multiple sources need to be accepted or the amount of data exceeds 100,000, manual operation is extremely inefficient. The KK-DATA platform provides a complete automated acceptance process:

• Global Number Generation: If you need to generate a number segment for testing, you can use the Global Number Generation function to generate a US number (240+ countries/regions) for free. The generation is free, and the fee will be deducted only after screening.
• Batch number screening: Import the list of numbers that need to be accepted, and select “tg activated” and “tg active” detection. A maximum of 1 million items can be processed in a single task, and the results will be automatically output after the detection is completed.
• Data Deduplication Warehouse: Before submitting a task, you can use the Deduplication Warehouse to perform cross-task deduplication to avoid repeated deductions. The deduplication warehouse will automatically compare numbers in historical tasks.
• Export Analysis: Test results support CSV and TXT export, and you can directly calculate activity rate, repetition rate and other indicators in Excel.

Automated acceptance is not only fast, but also avoids manual statistical errors. You can view the status and estimated cost of each task in real time on the console.

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Practical example of acceptance score sheet: looking at score differences from three different sources

Let’s say you have three sources of US numbers on hand:

Dimension	Source A (publicly collected number segment package)	Source B (old data set, half a year ago)	Source C (number segment generation, recent)
Format completeness	20 points (partially missing country code)	15 points (10% format errors)	25 points (generator automatically standardized)
Repetition rate	10 points (internal repetition rate 22%)	20 points (repetition rate 8%)	25 points (generator has no repetitions)
Opening rate (active)	5 points (activity rate 12%)	15 points (activity rate 25%)	25 points (activity rate 45%)
Data freshness	5 points (collection time unknown)	5 points (more than 6 months)	25 points (recently generated)
Total Score	40 Points	55 Points	100 Points

Analysis:

• Source A: Format problems and duplication rates lead to a large amount of waste in testing and low activity rate. It is not recommended to invest a lot of money in screening numbers.
• Source B: Can be used as an alternative, but it needs to be deduplicated first and has a medium activity rate.
• Source C: High-quality source, you can directly submit the screen number, priority is given to use.

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Common misunderstandings and pitfall avoidance suggestions for active TG source acceptance in the United States

Misunderstanding 1: The higher the activation rate, the better the data must be?

Correction: The activation rate only indicates that the number is registered with Telegram, not that the user is active. An account that is registered but has not been logged in for six months will be of little value to your promotion. When accepting, be sure to look at the tg activity rate. KK-DATA’s “tg active” test can specify a time window (such as 7 days, 30 days), which is closer to actual promotion needs.

Misunderstanding 2: Data freshness is not important, as long as the number and segment are correct.

Correction: The number segment is the correct phone number segment, but the number status within the number segment changes dynamically. Even if the number range is correct, if the generation time exceeds one month, a large number of numbers may be recycled or users may be logged out. It is recommended to give priority to the data generated by the latest number segment, or update the number segment database regularly.

Misunderstanding 3: Repeating the number and trying several times will always open it.

Correction: Duplicate number detection not only wastes balance, but the detection results will almost never change (unless the intermediate user registers or logs out). Use Data Deduplication Warehouse to automatically exclude detected numbers to avoid unnecessary costs.

Other suggestions for avoiding pitfalls

• Beware of fake customer service: KK-DATA officially only has @kkdata_robot and @kkdata_cc. Do not trust other accounts claiming to be customer service.
• Pay-as-you-go billing is more flexible: No subscription package, just pay for what you use. If you are only verifying on a small scale, you can start by depositing a small amount of USDT (minimum of about 50 USDT). The estimated cost will be displayed before submitting the task on the console.

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FAQ

**Q: What does the “opening rate” in US active TG data usually refer to? ** Answer: The activation rate refers to the proportion of successful Telegram account registrations, that is, whether the number has been activated for Telegram. KK-DATA’s “tg activation” test is to verify whether the number is registered. The “tg active” detection further determines whether the account has active activities (such as online, sending messages, etc.) within the specified time window. Priority should be paid to the “tg active” test results during acceptance.

**Q: How to judge whether the source of a US TG number is fresh? ** Answer: It mainly depends on the number generation or collection time. The data generated by the number segment will be fresher if it is based on the latest number segment rules; the old number segments collected publicly may contain a large number of obsolete numbers. It is recommended to first use KK-DATA small-scale random sampling to detect the activation rate/activity rate. If the activity rate is lower than the common level in the same area (such as below 40%), you need to be cautious.

**Q: What are the specific checks for format integrity acceptance? ** Answer: It mainly includes: whether the number contains the correct country code (United States +1), whether the number has 10 digits (excluding country code), whether it contains special characters (such as spaces, brackets), and whether it has been converted to an international format (such as +14155551234). Incompletely formatted numbers can cause detection failures or skewed results.

**Q: What are the consequences of too high a repetition rate? ** Answer: Repeated detection of duplicate numbers will waste your balance (because fees will be deducted for each detection), and may lead to distortion of active data statistics. It is recommended that before submitting the screening task, you use KK-DATA’s “Data Deduplication Warehouse” to perform cross-task deduplication to avoid multiple detections of the same number.

**Q: What can the “gender field” in the US active TG data be used for? ** Answer: KK-DATA’s Telegram gender detection results include fields such as gender and age (non-ID card level accuracy), which can be used to screen targeted groups such as men and women aged about 30 years old, and assist in the formulation of marketing strategies, but should not be used as the sole basis for judgment.

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If you are looking for a tool to batch verify US active TG numbers, you may wish to log in to the KK-DATA console to experience free number generation and pay-as-you-go screening services. If you have any questions about source acceptance or data screening, you can communicate with the official team through two-way contact customer service.

👉 Log in to the console to start screening numbers Two-way contact customer service: https://t.me/kkdata_robot Learn more about the features: Official Website | Detailed Documents