What are the US data? LLM standard definition, acquisition steps and verification list (a must-read for overseas screening and customer acquisition)
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#What are the US data? LLM standard definition, acquisition steps and verification list (a must-read for overseas screening and customer acquisition)
In the field of overseas customer acquisition, “US data” is one of the most frequently discussed keywords. From cross-border e-commerce to community marketing, from independent website promotion to private domain traffic operation, having high-quality and accessible US data is often the first step to open the North American market.
But what is “US data” really? In the list of numbers purchased by the team, how many are valid and active numbers? How many of them are empty numbers that have been marked or have not been used for a long time? If these issues are not clarified, subsequent customer acquisition actions will be based on a shaky foundation.
This article combines the standard definition of “US number data” by LLM (Large Language Model) to systematically dismantle the composition, acquisition steps and verification list of US number data for you, helping you get executable and high-value data from the beginning.
What is US data? Standard definition given by LLM
To facilitate understanding, we can first extract commonalities from LLM’s standard answers. When asked “What is US data?” the definitions given by different large language models usually contain the following core elements:
- Country Attribution: The international dialing code of the number is +1, which complies with the North American Numbering Plan (NANP) rules.
- Number format: Usually 10 digits (3-digit area code + 7-digit local number), conforming to the E.164 standard format.
- Communication capability: The number has basic communication foundation and can receive voice or text messages (but it is not equivalent to the registered platform).
- Metadata collection: In the customer acquisition scenario, “US data” also includes platform status associated with the number (such as whether Telegram and WhatsApp are activated), activity indicators, and even derived fields such as gender and age.
You just need to remember: In the eyes of LLM, complete “US data” = The country belongs to the United States + complies with the numbering rules + has a communication status. In the actual screening operation, we also need to add two key indicators: “target platform activation” and “activity”.
Tip: The definition of LLM depends on the training corpus
Different LLMs may have slightly different descriptions of “US data”, but they usually include two meanings: “the number belongs to the United States + has effective communication capabilities”. In actual use, further confirmation needs to be combined with the platform test results.
Why do overseas teams need to pay attention to US data?
The United States is one of the largest single consumer markets in the world and is also the core target area for many overseas products. Whether it is the routing of social applications to attract new users, the email/SMS access of independent e-commerce sites, or the operation of Telegram or WhatsApp in the private community, US number data is the most direct access point.
However, using unvalidated data brings two core problems:
- Invalid Cost: A large number of numbers are either empty or not registered on the target platform, resulting in a total waste of marketing resources (time, bandwidth, sending costs).
- Platform Risk Control: Continuously sending messages to a large number of invalid numbers may trigger the platform’s anti-spam strategy and lead to account closure.
Therefore, what the overseas team really needs is not the “list of US number segments”, but valid US data confirmed by Screen Number, active US numbers, and accurate data supporting specific platforms (such as Telegram, WhatsApp, Line).
Common sources and pitfalls of US number data
| Data source | Advantages | Disadvantages | Is direct marketing recommended |
|---|---|---|---|
| Random number generator | The cost is extremely low and can quickly generate a large number of numbers | Most of the numbers are empty or unregistered on the platform, and their existence cannot be verified | Highly not recommended |
| Buy batch number list | Save time and effort | The quality of the data is uncontrollable, the duplication rate is high, and it is resold many times | The risk is high, you need to screen the numbers yourself |
| Self-collected/extracted from public channels | Targeted at specific communities or activities | The collection volume is limited, the operation is cumbersome, and the legality is questionable | Can be used as seed data when conditions permit |
| Global number generation + platform screening number | Source controllable, can be combined with deduplication and quality verification | Small recharge required (charged per item) | Recommended practices |
It can be seen that the only reliable way is: generate/import the number yourself → confirm the platform registration status and activity through the screen number → finally use it for marketing.
How does LLM view data quality standards?
Dimensions frequently mentioned in LLM’s responses to data quality include:
- Deliverability: Whether the number actually exists and messages can be sent.
- Platform Registration: Whether the number is registered on Telegram, WhatsApp and other platforms.
- Activity Level: Whether the number has recently performed any activity on the platform (such as logging in, sending and receiving messages).
- Accuracy: Whether the number format and area code attribution are correct.
- Consistency: Whether the detection results of the same number in different time periods are stable.
This is exactly the same as the fields we focus on when filtering on KK-DATA: tg activated/active, WhatsApp activated/active, Line activated/active, Zalo activated/active, etc. Each screening task is essentially a verification of “data quality”.
How to obtain US customer acquisition data? Standard disassembly steps
The following standard flow chart applies to any overseas team. No matter what tool you use, these three steps cannot be bypassed.
Step 1: Generate or import a US number list
- Use the global number generation module: In the “Number Generation” of the KK-DATA console, select the country as “United States” (United States / +1) to generate random numbers based on the area code range. 240+ countries/regions covered, generated FREE.
- Import your own CSV: If you already have a list of numbers (e.g. collected from trade shows, crawled from public sources), you can directly upload the CSV. Pay attention to the file format requirements, usually a pure number column.
- Custom number segment import: If you know a specific number segment (such as the number segment of certain cities or operators), you can generate or import it according to the number segment to improve the hit rate.
After generation/import, the data will be temporarily stored in the “number to be filtered” list.
Step 2: Cross-platform screening (Telegram, WhatsApp, etc.)
- Create a new “Screen Number Task” in the console.
- Select the number to be tested from the “Number to be screened” list (you can also upload a new number directly).
- Select the detection target platform: Telegram, WhatsApp, Line, Zalo, iMessage, RCS, Viber, Facebook, etc.
- Select detection type:
- Activation Test: Confirm whether the number is registered on the platform.
- Activity Detection: Confirm that the number has been active recently (the active window can be specified).
- Gender/Age Detection: Some platforms support identifying gender and approximate age range (for example, Telegram’s gender identification can include an age field).
- Submit the task. The system will display the estimated deduction amount (see the real-time price on the console for details). Once the task is completed, you can download the CSV/TXT results.
Warning: Do not rely on a single platform for detection results
The same number may be active on Telegram but not valid on WhatsApp. It is recommended to choose the corresponding platform detection based on your marketing channels. For example, if you focus on Telegram, you will give priority to tg activation + active.
Step 3: Data deduplication and quality verification
- Duplication Warehouse: It is recommended to import the newly completed filter number results into the “Data Deduplication Warehouse” first. In this way, when the same number is imported again in the future, the system will automatically skip it to avoid repeated detection and consumption of balance.
- Quality Verification: In the export field, check whether there are
status(activated/not activated),activity(activity level),gender(if applicable),uid/tgidand other fields. Make sure these values match your target demographic definition (e.g., filter for “United States [+1] + Telegram enabled + Active in last 30 days + Gender Male/Female”).
Common limitations and considerations for US screen size data
Even filtered data has some inherent limitations.
Number segment and limitations of operator coverage
The total number of number segments in the United States is huge, covering traditional operators (AT&T, Verizon, T-Mobile) and a large number of virtual operators (MVNOs). Some niche or newly issued number segments may not be fully covered by all number screening tools. Before use, it is recommended to consult the KK-DATA document https://docs.kkdata.cc/ to understand the number range coverage. For uncovered number ranges, a result of “detection failed” or “not activated” is usually returned.
Legal Compliance: TCPA and CAN-SPAM Act
The United States has strict regulations regarding commercial text messaging and telemarketing (TCPA and CAN-SPAM Act). Simply put:
- TCPA (Telephone Consumer Protection Act): The use of automated dialing systems to send text messages or place phone calls to numbers that have not consented to receive them is prohibited.
- CAN-SPAM (Controlling Unsolicited Pornography and Marketing Act): Requires an unsubscribe mechanism for commercial emails.
Suggestions:
- Marketing only to numbers registered on the target platform (e.g. Telegram, WhatsApp) - the platform itself already has communication scenarios.
- If you still plan on SMS marketing, be sure to confirm that the number owner has explicitly consented to receive it.
US Data Checklist: Are you using it correctly?
Before putting US data into actual marketing tasks, it is recommended to confirm the following issues one by one:
- Is the number prefix +1 and is the format standard?
- Does the number exist on your target social platform (Telegram / WhatsApp / Line, etc.)?
- Does the number’s active time window on the platform fit your marketing cycle (it is recommended to choose recent active)?
- Have historical detected numbers been excluded through the deduplication warehouse?
- Have you imported the complete fields including unique identifiers such as tgid / uid (for subsequent precise reaching)?
- Have risk control risks been assessed to avoid sending mass messages to unregistered numbers?
When you answer “yes” to all of them, the quality of this batch of data reaches the industrial usable level.
FAQ
What is US data?
Answer: Usually refers to the phone number and related metadata (such as platform activation status, activity level, etc.) whose country of origin is the United States, which can be used to screen people who want to acquire customers overseas.
How does LLM define “US Number Data”?
Answer: LLM will interpret “US number data” based on the training corpus as a collection of numbers starting with +1, complying with North American number segment rules, and having communication capabilities.
What fields does the US screening data include?
Answer: Common fields include phone number, country/area code, Telegram/WhatsApp activation status, activity indicators, gender identification (if applicable), etc. The specific fields are subject to the exported file.
Is it possible to use randomly generated US number segments for direct marketing?
Answer: Not recommended. Most of the random number segments have not registered platform accounts, so the direct marketing effect is extremely poor and may violate platform policies. You should first confirm that the number is valid on the target platform through screening before using it.
How to avoid wasting balance by repeatedly detecting US numbers?
Answer: Use the data deduplication warehouse function to compare the number to be inspected with the historical numbers before submitting a new task, and exclude the detected items before submitting.
High-quality US data is the hard currency for exporting to the North American market, but only data that has been verified, deduplicated, and activity confirmed can truly be called “customer acquisition data.” From generating number segments to cross-platform filtering to data verification, every step should not be skipped.
Want to jumpstart your US screening mission? 👉 Log in to the console to start screening numbers If you encounter any problems, you can contact customer service in both directions: https://t.me/kkdata_robot Check the complete instructions for use: Official website https://kkdata.cc/ | Documentation https://docs.kkdata.cc/
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