US Data Filtering: Telegram vs WhatsApp Field Comparison and Usage Sequence Guide

In the overseas customer acquisition scenario, US data has always been a high-value target market. Whether it is social group traffic, private message promotion or cross-border e-commerce repurchase, verifying the availability and activity of the number is the first step. Telegram and WhatsApp are the two instant messaging tools with the highest user penetration in the United States. There are obvious differences in their filter fields, decision logic, and usage order. If you don’t understand these differences and blindly filter according to fixed procedures, it is easy to waste budget and reduce reach rate.

Based on the actual workflow, this article will compare the key filter fields of Telegram and WhatsApp in the US number scenario layer by layer, and give the recommended usage sequence and cross-platform linkage strategy.

Why does US data behave differently in Telegram and WhatsApp?

The registration rate and user behavior of U.S. numbers on the two major platforms are affected by product positioning. Telegram is more popular among young people, cryptocurrency communities, and private groups in the United States. Users prefer channel subscriptions and one-way messages; WhatsApp prefers business communication, family group chats, and instant calls, and users are more receptive to private messages. Therefore:

• Telegram’s active users are more concentrated in the “registered but online from time to time” state (commonly known as zombie accounts), which requires more precise active window screening.
• WhatsApp’s activity is more closely tied to mobile phone numbers, and the proportion of users changing numbers is lower. However, the gender model is limited by training data, and the accuracy is usually lower than Telegram gender recognition.

Therefore, when filtering US data, you cannot use one list to cover both platforms. You need to choose the appropriate detection fields and order based on your customer acquisition goals.

Key fields and usage order of Telegram filter numbers in the US data scenario

For Telegram’s US numbers, it is recommended to perform the number screening tasks in the following order. Each step has a clear business value.

TG activation detection and activity screening

1. Activation test (registration test): Confirm whether the number is registered with Telegram. Unregistered numbers are directly eliminated to avoid subsequent waste.
2. Activity Filter: Select an active window (such as 7 days, 30 days, 60 days). It is recommended to use a 7-day active window when promoting private messages, because the more recently active users are, the higher the probability of viewing messages. Community invitation tasks can use a 30-day window to expand the base.

Value Description: Many Telegram accounts in the US market are “discarded after registration”. The activity field can help you filter out 30%~50% of invalid users and increase the reach rate.

Interpretation of TG gender data and age fields

Telegram gender detection results contain gender (male/female) and age fields. The age field is a statistical inference value (such as “about 30 years old”), not an ID card-level accuracy. You can use it to target people of a specific age group, such as screening male users “about 30 years old” to promote cryptocurrency products, or screening female users “18-30 years old” to attract traffic to an independent beauty website.

Note: Gender/age data is not 100% accurate, but it is sufficient as a population stratification dimension to support most marketing activities.

Export field description: TG filter number supports exporting tgid, username (part), avatar link and other fields. Among them, tgid can be used for subsequent batch pull groups or calling Bot API (requires compliance).

Key fields and usage order of WhatsApp filter numbers in the US data scenario

The filter field structure of WhatsApp is slightly different from that of Telegram. It is recommended to adjust the order to: activation → active → gender.

WA activation and activity filtering

1. Activation Test: Verify whether the number is registered with WhatsApp. A certain proportion of “virtual numbers” among U.S. carrier numbers cannot be registered with WA and must be eliminated first.
2. Activity Detection: WhatsApp activity mainly includes two indicators: “online time” and “recently online”. It is recommended to select “online in the last 7 days” as the business contact window. WA activity detection is highly time-sensitive because users may temporarily change their numbers or be deactivated.

Special Tip: When WhatsApp is actively detecting US numbers, some virtual operators (such as Google Voice) may display “Unregistered” or “Invalid”. This is a normal phenomenon and is not a misjudgment.

WA gender recognition and export fields

WhatsApp gender detection is based on public information and model inference, and supports male/female orientation, but the accuracy is lower than Telegram gender recognition (training data difference). When using it, it is recommended to filter according to the activity level. For example, only push numbers that are “online in the last 7 days + male gender” to reduce the misjudgment rate.

The commonly used export fields are wsid (WhatsApp user ID), which can be used for subsequent calls to WhatsApp Business API (requires application for whitelist) or for customer profiling analysis. The specific fields are subject to the console export file, and the columns output by different task types may be different.

Telegram vs WhatsApp US filter field comparison table

Dimension	Telegram	WhatsApp
Activation test	Support (registration test)	Support
Activity window	7 days / 30 days / Custom	Last online / Online time
Activity reliability	High (server records)	High (but depends on user online status)
Gender detection	Supported (with age field)	Supported (without age field)
Age field	Yes (statistical inference, not precise)	None
tgid/wsid export	tgid (can be used in TG ecology)	wsid (can be used in WA ecology)
Data deduplication support	✅ Global deduplication across tasks	✅ Global deduplication across tasks
Applicable people	Young users, cryptocurrency, community operations	Business users, family communication, cross-border e-commerce

How to choose to screen Telegram or WhatsApp first based on customer acquisition goals?

Different marketing scenarios determine the screening order:

• Social Group Drainage (Web3/Cryptocurrency): It is recommended to screen Telegram first. Because the target user is active in the TG group, first use activation + 7-day active detection and filtering, and then conduct WhatsApp gender screening on the remaining numbers for subsequent cross-platform wake-up.
• Private message promotion (e-commerce repurchase/member notification): It is recommended to screen WhatsApp first. The open rate of private messages on WhatsApp is generally higher than that on Telegram, so priority is given to ensuring access channels. For numbers that have not opened WA, use Telegram to supplement them.
• Omni-channel coverage (brand exposure): Submit screening tasks for two platforms at the same time, or use KK-DATA’s cross-platform hybrid tasks to output the results of each field at once, and then allocate channels according to strategies. The platform supports up to 1 million numbers in a single task, can mix and import Telegram and WhatsApp screen number requests, and automatically distinguishes the platform logo when exporting.

The complete process of using KK-DATA to conduct multi-platform screening of US data

The following are standard operating steps from number preparation to result export:

1. Number generation (optional): If you do not have a US number database at hand, you can randomly generate numbers by state or area code in the global number generation module. The generation is free, only the screen number will be deducted.
2. Number Import: Import the number list via CSV or TXT file, or paste it directly. The system will automatically recognize the format.
3. Data Deduplication: Turn on the “Data Deduplication Warehouse” switch. The platform will compare the numbers in historical tasks and automatically skip the numbers that have been detected to avoid repeated deductions.
4. Set filter parameters: Select platform (Telegram/WhatsApp or mixed), detection type (activated, active, gender, etc.), active window, export field.
5. Preview fee: Display the estimated deduction amount before submission (see the real-time price on the console for the specific unit price).
6. Submit task: After confirmation, the task will be queued and a Telegram notification will be sent after completion.
7. Export Results: Download a CSV or TXT file containing your selected fields (tgid/wsid, gender, age, active status, etc.).

The entire process does not require a subscription package and is billed on a per-item basis. The balance is recharged via USDT (TRC20), with a minimum of approximately 50 USDT, which is available immediately after recharging.

Common misunderstandings and precautions in US data screening

• Myth 1: Activity equals reach. Even if “7 days active” is displayed, it only means that the number has been operated within 7 days, and it does not mean that the user will definitely view your messages. It is recommended to set expectations based on the industry average open rate.
• Myth 2: The age field can be accurate to the specific age. The age in Tg gender detection is a statistical inference and is used to assist targeting (such as targeting people “about 30 years old”) and cannot be used as ID card-level data.
• Misunderstanding 3: Number generation and screening number are confused. The generation function only lists the numbers according to the rules and does not verify whether they are registered; the screening number is the real detection. Many novices regard generation as a filter number, resulting in a large number of invalid numbers being exported.

FAQ

Q: How accurate is Telegram’s activity detection in US data? Answer: TG activity is based on the online time window recorded by the server. The accuracy is higher for users who are active within 7 days. The platform provides a variety of windows (such as 7 days, 30 days) to choose from. For specific prices, please see the real-time price of the console.

Q: How accurate is WhatsApp gender detection? Can it be used to target men/women? Answer: WhatsApp gender detection is based on public data and model inference, and supports male/female orientation, but cannot guarantee 100% accuracy (non-ID card level). It is recommended to use it in conjunction with activity and activation detection to reduce the misjudgment rate.

Q: When screening US data numbers, should I do the activation test or the activity test first? Answer: It is recommended to perform activation detection to filter out invalid numbers first, and then perform activity detection on successfully activated numbers, so as to save balance. For the KK-DATA task, you can choose “open + active” joint inspection to complete two steps at once.

Q: How many US numbers can KK-DATA detect at one time? Is there an upper limit? Answer: A single task supports up to about 1 million numbers. If you have larger US data, you can submit it in batches.

Q: What are the restrictions on generating a US number? Are all states covered? Answer: Global number generation covers 240+ countries/regions. The United States includes number segments for all 50 states. It supports generation by state or area code. Generating is free, and screening numbers are deducted per item. The specific number segment enumeration can be viewed on the console.

After understanding the filtering strategies for Telegram and WhatsApp US data, you can create tasks directly in the KK-DATA console to experience the cross-platform filtering and data deduplication functions. If you have customization needs or have questions about fields, you can contact official customer service for one-on-one guidance.

👉Log in to the console to start screening numbers Two-way contact customer service https://t.me/kkdata_robot More tutorials and documentation: https://docs.kkdata.cc/