NFT Community Acquisition Practical Guide: Boosting Community Growth ROI with Active Screening and Number Filtering Strategies

NFT projects often face an awkward situation in community management: the number of group members appears huge, but interaction rates are low, airdrop claim rates are poor, and secondary market trading activity is insufficient. A large number of bot accounts, one-time registered users, and silent members act like “digital foam,” not only diluting community value but also wasting marketing budgets. To achieve efficient NFT community acquisition, the key lies in filtering out truly valuable numbers from the source—those high-potential users who are consistently active on Telegram and have authentic profiles. This article will start with number filtering strategies, combining tools such as number generation, activity detection, and gender identification, to provide NFT teams with a practical growth workflow.

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Core Pain Points of NFT Community Growth: Junk Numbers and Low Activity

In the early stages of promotion, NFT projects often rapidly recruit users through airdrops, whitelists, referral bonuses, etc. However, among the large numbers acquired, there are three types of “invalid users”:

• Bot accounts: Automatically registered, never participate in any conversation, created solely for airdrop farming.
• One-time users: Joined the group but never spoke, or went offline immediately after receiving rewards.
• Silent members: Occasionally log in but do not interact, contributing very little to the community long-term.

These issues lead to:

• Distorted community interaction data, making it difficult to judge true engagement.
• Wasted operational resources on valueless members.
• Lack of confidence in the secondary market, affecting the long-term value of the project.

Therefore, precisely filtering out invalid numbers and locking in high-activity users has become a necessary path for NFT community growth.

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Why Active Screening Is a Key Step for NFT Community Acquisition

TG active (meaning the user has logged in or performed actions within a specific past period) is a core indicator to determine whether a number belongs to a real person. For NFT projects, the value of active users is reflected in:

• Airdrop interaction: Active users are more likely to complete tasks such as joining groups, following, sharing, etc.
• Community contribution: Discussions, feedback, secondary creations, etc., enhance community vitality.
• Transaction conversion: Genuine interest in rarity, floor price, airdrop value, thus driving the secondary market.

Manual screening of active users is nearly impossible—facing tens of thousands or even hundreds of thousands of numbers, checking status one by one is time-consuming and labor-intensive. Using a number filtering platform, you can automate TG activity detection (active within the last 7 / 15 / 30 days), batch output high-potential numbers, and focus efforts on high-quality user operations.

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Three Steps to Implement TG Activity Screening: From Numbers to Usable Users

Taking the KK-DATA platform as an example, performing a TG activity screening requires only three steps:

Step 1: Batch Generate or Import Target Numbers

• Generate new numbers: Use the “Global Number Generation” feature to randomly generate numbers by country/region (e.g., USA, Japan, UK) and number segments. Generation is free, and numbers from 240+ countries are available.
• Import your own list: If you already have a user phone number library (e.g., collected from events), directly upload a CSV or TXT file.

It is recommended to generate or import numbers targeting your chosen country first to avoid using detection quota on invalid numbers.

Step 2: Configure Active Screening Conditions (7 days / 15 days / 30 days)

In the number filtering task, select the TG Active type and set the time window:

• 7-day active: Suitable for marketing scenarios requiring quick response (e.g., limited-time airdrops).
• 15-day active: Balances scope and precision, suitable for regular community invitations.
• 30-day active: Obtains long-term online users, suitable for deep community management.

After submitting the task, the system automatically detects each number’s registration status and last online time, returning an “active” or “inactive” label.

Step 3: Export Valid Users and Import into Community Tools

After the task is completed, the screening results support export in CSV / TXT format. You can:

• Import active numbers into Telegram groups (via invitation links or API).
• Import into CRM or direct messaging tools for subsequent outreach.

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Gender Identification: Adding a New Dimension for NFT Marketing User Segmentation

In addition to activity, gender identification (based on AI recognition of profile pictures) can provide more segmentation dimensions for NFT community operations.

Adjust Community Operation Strategies Based on Gender Profile

• Female users: More focused on the artistic value, visual design, and community atmosphere of NFTs. Push content can highlight creator stories, design concepts, and limited-edition aesthetic collections.
• Male users: More focused on rarity, floor prices, and investment returns. Push content can emphasize market analysis, rarity rankings, and secondary market trading strategies.

Achieve Precise Segmentation by Combining Activity and Gender

By using combined filtering conditions (e.g., TG active 15 days + gender = female), you can:

• Target art enthusiasts for “aesthetic” airdrops.
• Push “rarity challenge” activities to male users.
• Mark high-activity users as community contributors and grant them whitelist or governance tokens.

This refined segmentation significantly improves conversion rates compared to a one-size-fits-all invitation approach.

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From Number Filtering to Community Growth: An NFT Project Case Workflow

Assume an NFT project plans to promote “anime-themed” collectibles in the Japanese market, aiming to attract 1000 active, anime-preferring community members:

1. Generate numbers: Use “Global Number Generation” to select Japanese number segments, generating 200,000 Japanese phone numbers (free).
2. TG activity screening: Submit a screening task with “TG active 30 days.” Expected to yield 30,000 to 50,000 active numbers.
3. Gender identification: Run “TG Gender” detection on the same batch, filter for “female” users (assuming about 40%), resulting in 12,000 to 20,000 active female users.
4. Export and invite: Export CSV, add them in batches via Telegram group invitation links, and pair with initial airdrop incentives.
5. Effect comparison: If numbers are collected manually and invited randomly, conversion rates are usually below 5%; with activity + gender screening, the 7-day interaction rate of new joiners can reach over 20%, increasing community activity by 3–5 times.

Manual vs. Screening Platform Efficiency Comparison:

Comparison Item	Manual Operation	Screening Platform
Number volume	Hundreds to thousands	Tens of thousands to millions
Activity detection	Click one by one, cannot batch	Automated detection, precise results
Gender identification	Manually check avatars, time-consuming	AI batch recognition
Total time spent	3–5 days	1–2 hours
Cost	High labor cost	Pay per record, pay as you go

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Common Considerations When Using a Number Screening Platform

When using KK-DATA or other number screening platforms, note the following:

• Billing model: No subscription plans; charges are per record. Deductions are made from the balance after each task is completed; no charge for undetected numbers. For specific unit prices, see the real-time pricing in the console or the official billing page.
• Insufficient balance: Unable to submit new tasks; you need to top up first. Recharge method is USDT (TRC20), minimum approximately 50 USDT.
• Different unit prices for different platforms: Detection fees for Telegram, WhatsApp, iMessage, RCS, etc., vary; refer to the console.
• Data deduplication: It is recommended to use the built-in deduplication repository to avoid paying repeatedly for already verified numbers.
• Task limit: A single screening task can submit up to approximately 1 million numbers; processing in batches is more stable.

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Frequently Asked Questions

Q: Will the screened TG active users definitely join my NFT community?
A: Number screening only verifies the registration status and activity of the numbers; it does not guarantee that users will accept the group invitation or participate in activities. It is recommended to combine high-quality content and incentives (such as airdrops) to improve conversion rates.

Q: Can I screen potential NFT users from multiple countries at the same time?
A: Yes. KK-DATA supports number generation and screening for 240+ countries/regions worldwide. You can select multiple countries in the task, and the platform will perform unified detection.

Q: What is the batch size limit for each screening?
A: A single screening task can submit up to approximately 1 million numbers, subject to the console settings. If you have many numbers, it is recommended to submit in batches and ensure sufficient balance.

Q: Can the filtered data be exported in Excel or TXT format?
A: Yes. Supports export in CSV, TXT, and other formats, making it convenient to directly import into Telegram groups or CRM systems.

Q: Is the screening fee charged per use or monthly subscription?
A: There is no subscription plan; it is strictly pay-per-record. After each task is completed, the corresponding fee is deducted from the balance; no charge for undetected numbers. Please refer to the real-time pricing in the console for specific unit prices.

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Ready to introduce a precise acquisition strategy for your NFT community? Log in now to the KK-DATA Console to experience the number filtering feature, check the documentation for more details, or contact official customer service directly at @kkdata_robot for one-on-one support.