Should US data be filtered through Telegram, WhatsApp or other platforms? Selection guide for reaching channels according to target market
关于作者
KK-DATA 获客数据筛号平台官方内容团队。
Should US data be filtered through Telegram, WhatsApp or other platforms? Selection guide for reaching channels according to target market
When overseas teams obtain U.S. data, the most common problem they encounter is not “not enough numbers” but “not knowing which platform to screen.” Different instant messaging applications in the United States have huge differences in user structure, usage scenarios, and reach efficiency. Choosing the wrong platform will not only waste screening costs, but may also affect the overall customer acquisition effect due to low message reach rates.
This article starts from the ecological characteristics of various platforms in the U.S. market, helps you select platforms based on target groups and business types, and provides a practical screening strategy. If you have a batch of US number data in your hand, but are not sure which channel to test first, you will be able to find your own priority after reading this article.
What instant messaging applications are used by American users? ——Ecological differences between different platforms
U.S. mobile users may have Telegram, WhatsApp, iMessage, and Facebook Messenger installed on their phones, or they may use native text messaging through RCS. However, their user profiles and usage habits are completely different and need to be taken apart.
Telegram: A gathering place for crypto communities and blockchain users
Although Telegram’s daily active users in the United States are not as high as WhatsApp’s, its penetration rate is extremely high among specific groups: cryptocurrency investors, technology developers, open source community members, and young, middle-aged and high-income groups who value privacy. Telegram has strong group functions and users are highly receptive to group messages and channel messages, making it suitable for community operations and B2B reach.
- Core group: technology practitioners, Web3 participants, high net worth users
- reach advantage: group/channel message opening rate is high, and can be used with tgid export for detailed operations
- Screen number key: Prioritize detection of tg activation + tg active (specify 7/30 day window) + gender/age field, send differential words in groups
WhatsApp: Cross-platform communication and bridging the Hispanic market
WhatsApp has more total users than Telegram in the United States, but usage intensity is slightly lower than in Latin America and Europe. It is worth noting that the Hispanic community in the United States is a deep user group of WhatsApp. If you sell consumer goods, cross-border services or household products for the Hispanic market, WhatsApp is a must-choice channel.
- Core Population: Hispanic immigrants, family users, small and medium-sized businesses
- reach advantage: stable across platforms (both iOS/Android), the open rate of private messages is higher than that of emails
- Key points of screening: WhatsApp activation + active detection, cooperate with wsid export; if you need to distinguish gender, you can do WhatsApp gender screening
iMessage vs. RCS: The value of iOS/Android native channels
iMessage is the native communication tool for iOS users and has a very high market share in the United States (about 55% or more). Its advantage is that messages are sent directly to the device, without the need for users to install additional apps, and the opening rate and reading rate are much higher than third-party push. RCS is the benchmark protocol on the Android side. Although coverage is still growing, it is already available to some Verizon/T-Mobile users in the United States.
- Core group: iOS users (high overall quality, medium price sensitivity per customer)
- Contact Advantage: No need to download the App, messages are displayed as native blue bubbles/chat boxes, and the trust level is strong
- Key points of screening: iMessage detection can return iOS device status (blue number), RCS detection can identify Android native channel availability
Selection Tips: Determine the crowd first and then the platform
There are obvious differences in user portraits, usage time periods, and message opening rates corresponding to different platforms. For example, Telegram users are highly receptive to group messaging, while iMessage’s private message opening rate is generally higher than push apps. It is recommended to clarify the target group profile first, and then select 1–2 major platforms for in-depth screening, rather than rolling out all channels at once.
Make platform selection based on target groups—where are your American customers?
The type of business determines which platform you should prioritize. The following gives selection ideas for three typical scenarios.
B2B and blockchain projects: Telegram screen number is the core breakthrough
If your product is a SaaS tool, blockchain protocol, developer service, or high-net-worth investment product, Telegram is a must-cover channel. Telegram users themselves have the habit of “actively obtaining information”. They are willing to join groups to learn about products, participate in airdrops, and test tools.
- Recommended combination: Telegram as the main screen, iMessage as the supplement (for iOS decision-makers)
- Key fields: tg activated → tg active (7-day/30-day window) → tg gender/age → export tgid
- US Data Value: Use the filtered list of active users for group invitations or private messaging, and the response rate is usually higher than general marketing
Cross-border e-commerce and independent websites: WhatsApp + iMessage combination
Independent websites, Amazon sellers, and brand DTC teams targeting U.S. consumers are recommended to focus on WhatsApp (covering Hispanics and ordinary families) and iMessage (covering all iOS users). The private message experience of iMessage is like ordinary text messages but richer, suitable for sending promotional links, logistics notifications, and repurchase reminders.
- Recommended combination: WhatsApp activated + active + iMessage blue number detection, first locate two types of reachable numbers
- Key fields: WhatsApp gender (optional) → Make differentiated offers for male/female groups
- US number data screening process: Generate US number CSV → Batch check WhatsApp activation → Filter out active users → Then check iMessage status → Export in groups
Brand private domain and customer unit price products: iMessage/RCS native reach value
If your customer unit price is higher (such as luxury goods, health equipment, education courses) and requires a higher sense of trust, iMessage and RCS are channels worth investing in. When users see native blue bubbles/chat boxes, their psychological alertness is lower, and their click-through rate is better than third-party app notifications.
- Recommended combination: iMessage filter + RCS filter (dual native channels)
- Note: iMessage only supports iOS devices, and the number needs to be determined by the operator first; RCS currently covers about 50% of US operator users, but the growth momentum is good
- Key points of screening number: Only do effective iMessage detection and RCS effective detection, do not mix other platform fields, and keep the data pure
Core indicators of US number data screening: why activation ≠ effective access?
After getting the number, many teams only do a “activation test” once before sending messages. As a result, a large number of numbers are registered but have not been used for a long time, and the open rate and reply rate are extremely low. Correct approach: After activating the detection, add another round of activity screening numbers (for example, Telegram can choose 7-day/30-day active windows), and then combine the gender field for accurate grouping. This can significantly improve customer acquisition efficiency.
Comparison of differences in filter number fields across platforms
| Platform | Activation detection | Activity detection | Gender/age | Export ID | Batch limit (approximately) |
|---|---|---|---|---|---|
| Telegram | ✅ | ✅ (optional window) | ✅ with age | tgid | 1 million/task |
| ✅ | ✅ | ✅ | wsid | 1 million/task | |
| iMessage | ✅ (blue number) | ❌ (device status) | ❌ | None | 1 million/task |
| Line | ✅ | ✅ | ✅ | uid | 1 million/task |
| Zalo | ✅ | ✅ | ✅ | uid | 1 million/task |
| RCS | ✅ (Status) | ❌ | ❌ | None | 1 million/task |
Note: The age field in Telegram gender results can be used to filter/interpret people around 30 years old, but it is not ID-level accurate data, please do not over-interpret it.
Common misunderstanding: only screen for activation and ignore activity
Many teams only do a “activation test” once after generating numbers and then send messages. As a result, a large number of numbers are registered but have not been used for a long time, and the open rate and reply rate are extremely low. The correct approach: After activating the detection, add another round of activity screening numbers (for example, Telegram can choose a 7-day/30-day activity window), and then combine the gender field to make accurate grouping. This can significantly improve customer acquisition efficiency.
In the context of group and community operation, how to use filter numbers to optimize US traffic?
If you already have a batch of US numbers collected from Telegram groups, Facebook communities, Discord, etc., the quality of this batch of data is usually higher than randomly generated numbers. But it must be cleaned before direct use.
Step one: Group number import and cross-task deduplication
After summarizing the numbers of multiple groups/channels, first use the platform’s Data Deduplication Warehouse function to perform global deduplication to avoid wasting balances from being detected multiple times for the same number.
Step 2: Check activation and activity by platform
For the list of US numbers after deduplication, submit batch tasks: select combinations such as “Telegram activation + active for 7 days”, “WhatsApp activation + active”. If your goal is group marketing, it is recommended to do a full platform activation test first, and then do additional tests on active numbers.
Step 3: Group into groups according to gender/age fields and develop differentiated speech techniques
After the screening is completed, the users are divided into four groups: male/female/older/lower based on the returned gender and age range, and the words are designed respectively. For example: emphasizing functional parameters for male technology users, emphasizing convenience of use and gifts for female home users.
Comparison of different channel screens: Telegram vs WhatsApp vs iMessage vs Line vs Zalo
The table below helps you make a quick decision:
| Dimension | Telegram | iMessage | Line | Zalo | |
|---|---|---|---|---|---|
| U.S. user coverage | High (tech/encryption circle) | High (strong Hispanic penetration) | Very high (iOS original sound) | Low (mainly Asian) | Very low (mainly Vietnamese) |
| Main group portraits | Technology, encryption, privacy enthusiasts | Families, Hispanics, small and medium-sized businesses | Overall iOS users | Asians, Japanese and Korean culture enthusiasts | Vietnamese, Southeast Asian communities |
| Available fields for screen number | Activate/Active/Gender/Age/tgid | Activate/Active/Gender/wsid | Activate (iOS blue number) | Activate/Active/Gender/uid | Activate/Active/Gender/uid |
| Common contact scenarios | Community operations, airdrops, tool promotions | E-commerce notifications, private message marketing | Brand private messages, repurchase reminders | Asian market, cultural products | Vietnam market extension beauty |
| Batch processing capability | 1 million/task | 1 million/task | 1 million/task | 1 million/task | 1 million/task |
| Charge model | Billing by article, no subscription | Billing by article, no subscription | Billing by article, no subscription | Billing by article, no subscription | Billing by article, no subscription |
All platforms are no subscription packages, recharge USDT (TRC20) and then select tasks, pay as much as you use. For specific unit prices, please See the real-time price on the console for details.
Full-process workflow of US customer acquisition data: from number generation to screen number export
Combined with KK-DATA’s “Generate → Filter → Export” pipeline, you can perform a set of standardized operations:
- Number generation: Select the country as “United States (US)”, use the global number generation function to randomly generate, or upload a custom number segment CSV. Generating is free and does not consume your balance.
- Screen number task configuration: Create a new task in the console and select the detection platform and type. For example: check “Telegram activated + active for 7 days + gender”, “WhatsApp activated + active”, and “iMessage detection”. Each inspection type is charged independently, and the estimated fee will be displayed before the task is submitted.
- Data Deduplication: If some numbers have been filtered before, enable automatic filtering of the deduplication warehouse.
- Execution and Notification: background processing after submission, and will be notified through Telegram after completion (a robot needs to be bound).
- Multi-format export: Supports CSV and TXT export of data containing tgid/wsid/uid, which can be directly used for group invitations or private messages after filtering by gender and activity fields.
Efficiency suggestion: Cover multiple platform detection in one task
If the same batch of U.S. numbers needs to be verified on Telegram, WhatsApp and iMessage platforms at the same time, the platform supports selecting multiple detection types within the same task, submitting the results at one time and exporting the results uniformly. Note that each detection type is charged independently (see the real-time price on the console for details), but it can significantly save task management time.
FAQ
**Q: Which platform is the most effective in screening US data? ** A: There is no absolute best platform, it depends on your target users. Telegram is preferred for B2B/blockchain projects; WhatsApp + iMessage is preferred for cross-border e-commerce/independent sites; brand private domains that focus on open rates can focus on iMessage. It is recommended to conduct A/B testing based on product types and use the screening results to guide channel placement.
**Q: What risks should we pay attention to when selecting a platform for U.S. number data? ** Answer: The main risk is sending messages without distinguishing user portraits (such as using Telegram group members as iMessage targets), resulting in low response rates and account bans. In addition, different states in the United States have inconsistent compliance requirements for digital marketing. It is recommended to confirm the privacy regulations of the target region before screening. The platform itself does not provide compliance advice, please consult professional legal counsel.
**Q: Why is iMessage filter number important? What is the difference between it and WhatsApp screen number? ** A: iMessage is a native iOS channel. Users do not need to install the app. Messages are displayed in blue bubbles and the open rate is usually higher than third-party app notifications. WhatsApp requires users to have it installed and registered, and may be blocked or restricted. The two complement each other - iMessage is suitable for high-quality brand reach, and WhatsApp is suitable for wide coverage and community operations.
**Q: How many U.S. numbers can be processed in one number screening task? ** Answer: A single task supports about 1 million numbers. If this amount is exceeded, it can be submitted in batches. The platform provides a data deduplication function to avoid wasting balances through repeated detection.
**Q: Do I need to subscribe to a package to use the filter function? ** Answer: No need. KK-DATA adopts a per-item billing model with no subscription package. After recharging USDT (TRC20), you can be deducted according to the detection volume. The unused balance is valid for a long time and there is no monthly fee pressure. For the specific unit price, please check the console’s real-time price or [official website billing page] (https://kkdata.cc/billing/).
The above is your complete guide to platform selection for US data. If you want to start screening numbers immediately, you can access through the following channels:
👉Log in to the console to start screening numbers Two-way customer service contact (Telegram): https://t.me/kkdata_robot Detailed usage documentation: https://docs.kkdata.cc/
Related Articles
US TG Male Data vs Female Data: A Guide to Differentiating List Strategies (2025 Update)
US TG male data: The difference in list strategy between US TG male data and female data. . Covers Google/Bing search intent and common questions, and is suitable for overseas teams to implement the screening process.
US ws number vs original number: a comprehensive comparison of quality, cost and access risk
Understand the core differences between US ws numbers and unfiltered original numbers in one article. From number activation rate, user activity, additional portrait fields to customer acquisition costs and platform account suspension risks, the two data sources are compared in multiple dimensions. Compared with the original number, the American WS number has been professionally screened, has high efficiency, low duplication rate, and comes with gender and age tags, which greatly reduces the cost of trial and error. Help you choose the most suitable number strategy for WhatsApp marketing in the United States.
Active TG number screening in the United States: Comparison and usage guide of Telegram and WhatsApp functions
This article compares the field differences between Telegram and WhatsApp in active number screening in the United States, covering activity detection, gender and age, number segment generation, etc., and provides the best process from number generation to deduplication screening. It is suitable for overseas teams to obtain active TG numbers in the United States for community operations and private message promotion.