Crypto US TG Data Acquisition Guide: How Web3 Teams Efficiently Filter US Telegram Users for Overseas Marketing

For crypto teams expanding into the US market, obtaining high-quality US Telegram users (i.e., US TG data for crypto) has become a core element for Web3 teams’ cold starts, community recruitment, and airdrop user acquisition. This article breaks down the filtering logic, operational processes, and common pitfalls of US TG data for crypto from a practical perspective, helping teams control costs while improving DM conversion rates to a usable level.

What is US TG Data for Crypto? Why Do Web3 Teams Need It?

US TG data for crypto refers to datasets of Telegram users targeting the US region (area code +1), including dimensions such as “registered (registration check)”, “valid (can send/receive messages)”, “active (online within the last 7/15/30 days)”, and “gender (avatar recognition)”. For Web3 projects, the US community offers three major advantages:

• High user acceptance: US crypto users are familiar with concepts like airdrops, DeFi, and NFTs, resulting in shorter conversion paths after DM outreach.
• Language and regulatory fit: The English environment is natural for international community operations, and US regulations are relatively clear, leaving more room for compliant operations.
• Stronger community spending power: US TG users generally have higher on-chain interaction willingness and wallet holding ratios compared to other regions.

Therefore, obtaining a set of US TG data for crypto verified for activity is an effective way for Web3 teams to kickstart overseas markets at low cost.

Common Scenarios for Crypto Teams Using US TG Data for Customer Acquisition

Scenario 1: Building a US TG Community from Scratch

Data requirements: Registered + active (online within 7 days) US numbers. Operation flow: First, generate US number ranges (numbers starting with +1) using the global number generation feature, then perform Telegram registration check and activity check, export valid numbers → batch send group join invitation links.

• Manual group pulling: Manually scraping groups to add people is slow, yields low-quality numbers, and risks account bans.
• Automated number filtering: Use a platform to filter 100,000 active US numbers at once, import them into a DM tool, and send invitations in batches. The community launch cycle compresses from weeks to 3-5 days.

Scenario 2: Precisely Targeting Highly Active US Users for Airdrop Events

Airdrop projects fear “Sybils” and “zombie accounts” the most. Using activity checks (selecting users online within 30 days) can filter out numbers registered long ago but unused. Combined with gender recognition to exclude obviously mismatched targets (e.g., filter for female avatars when the project targets women), airdrop claim rates can increase by 30%-50%.

Specific steps:

1. Import your own target number pool (e.g., exported from past airdrop participation records) or generate US numbers.
2. Perform Telegram valid + active (30 days) checks.
3. Export active numbers → DM airdrop claim instructions.

Scenario 3: Inviting Users to DeFi Project AMA Events

Data requirements: US TG users active within the last 7 days. Operation flow: After filtering active numbers, first use a deduplication database to exclude numbers already invited last month, then batch send AMA event links. With multi-platform synergy, if the same number also has WhatsApp active, sending event reminders via WhatsApp can increase attendance by up to 1.5 times.

How to Obtain a Usable Set of US TG Data for Crypto?

There are two main methods, neither requiring prepaid subscription fees:

Method	Operation Description	Cost
Randomly generate US numbers	Use the global number generation feature, select country “United States”, the system automatically generates a large number of +1 numbers (supports specifying number ranges). Free to generate.	Generation: free; filtering charged per record
Import your own CSV	Upload an existing list of numbers (e.g., member IDs exported from public groups or buyer lists), the system automatically identifies and filters them.	Only filtering is charged

Key Indicators for US TG Data Filtering: How to Choose Between Registered, Valid, and Active?

Check Type	What It Checks	Use Case	Recommendation
Registration check	Whether the number is registered on Telegram	Basic verification to confirm number existence	★★★
Validity check	Whether it can send/receive messages (not deactivated/banned)	When you need numbers that are reachable	★★★★
Activity check	Whether the user was online within N days (7/15/30 adjustable)	High conversion targets like airdrops, AMAs	★★★★★

Recommendation: For US TG data for crypto, prioritize “activity check (7 days)”. US users have high fluidity; users active within 7 days are far more likely to engage with community interactions than users who only registered, reducing wasted DM costs.

How to Avoid Common Pitfalls with US TG Data?

Pitfall 1: Using Numbers Without Verification

Problem: Imported numbers may be invalid (deactivated, unused long-term, banned). Sending DMs directly wastes costs and may trigger anti-spam mechanisms. Solution: Must pass “registration” or “validity” check; it is recommended to use the deduplication database feature, which automatically remembers already-checked numbers, skipping them intelligently on next submission to avoid duplicate charges.

Pitfall 2: Not Using Deduplication Database, Causing Repeated Charges

Problem: Submitting the same numbers across multiple tasks wastes balance (each screening charge is deducted again). Solution: Enable the platform’s built-in “data deduplication database”. When submitting tasks, the system automatically filters out previously checked numbers. Especially in multi-round filtering (e.g., first test registration, then activity), the deduplication database can save 30%-50% in costs.

Pitfall 3: Ignoring Gender Recognition, Mass Sending Blindly

Problem: Some Web3 social projects need to filter users by gender (e.g., women receive priority benefits). Blind mass sends result in many male users participating but failing to reactivate later. Solution: Use the gender recognition function (via avatar recognition) to output gender labels and precisely target the target audience. KK-DATA supports avatar recognition and outputs gender labels.

How to Combine US TG Data for Crypto with WhatsApp and iMessage Data?

Multi-platform synergy amplifies the reach value of a single number. US users typically use multiple communication tools simultaneously with high overlap. You can:

1. First, use TG activity check to filter active US community users.
2. Submit the same set of numbers to WhatsApp validity check (fees see console).
3. If the result shows the number also has WhatsApp active, send follow-up messages (e.g., event reminders, product updates) via WhatsApp.

Considerations When Using US TG Data for Crypto: Compliance and Privacy

• Adhere to local regulations: The US CAN-SPAM Act requires commercial emails/messages to offer an unsubscribe method and must not be excessively intrusive. Keep DM frequency to no more than 3 messages per person per day to avoid bans and legal risks.
• Only target public data: It is recommended to only filter user numbers from public groups or contact information voluntarily left by users. Do not obtain private data through illegal channels.
• Platform responsibility boundary: KK-DATA only provides number filtering functions (checking registration, activity, gender, etc.), does not store user chat records or personal privacy, and does not participate in any DM sending process. Users bear the primary responsibility for their acquisition actions.

Frequently Asked Questions

Q: Are all numbers in US TG data for crypto from the US area code? A: Not exactly. The number generation function supports specifying the US country code (+1), but actual number location needs further confirmation through carrier detection. It is recommended to first generate numbers using the global number generation function with country set to “United States”, then filter and verify registration status.

Q: How to ensure filtered US TG users are Web3-related? A: The platform cannot identify user interest tags, but you can improve hit rate by combining activity indicators (last 7-15 days usage) with importing target group lists (e.g., member numbers from crypto groups). Default number generation covers ordinary users; it is recommended to use it with your own target group CSV.

Q: How much does one round of US TG data filtering for crypto cost? A: Costs are charged per checked record, with different rates for different check types (registration, validity, activity, gender recognition). Check the estimated cost in the console before submitting the task. Actual deduction is based on balance after task completion.

Q: Can filtered numbers be directly used for DM outreach? A: Yes, but it is recommended to comply with Telegram’s account usage policies, avoid batch mass sending that could lead to account bans. It is advisable to use secondary or paid accounts and control sending frequency. KK-DATA only provides data filtering, not DM sending.

Q: What is the difference between US TG data for crypto and global TG data in terms of acquisition effectiveness? A: US TG users have higher acceptance of Web3 projects, and the English environment is beneficial for international community building; global data covers more but with larger language and cultural differences. If the budget is limited, focus on the US market first, then expand to other English-speaking countries.

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Want to start filtering active US Telegram users immediately? 👉 Log in to the console to start filtering or contact customer service via two-way link https://t.me/kkdata_robot for guidance. See more documentation at KK-DATA Documentation.