Practical Guide to Cryptocurrency Community Number Screening: Data Layering and TG Screening Strategies for Web3 User Acquisition

During the cold start and user growth phases of Web3 projects, Telegram communities are almost the most critical channel for user acquisition. However, most project teams face a common problem: numbers sourced from airdrop lists, group scraping, or vendor purchases are highly uncontrollable in terms of registration rate, activity level, and gender match. Sending direct messages or group invitations directly from raw number lists is not only inefficient but also risks account bans due to a large number of invalid numbers.

This is why cryptocurrency community number screening requires a dedicated strategy — not simply verifying whether a number is active, but using data layering to filter out “high-intent” users and improve Web3 user acquisition conversion rates. This article will provide actionable implementation methods covering the core process of TG screening, data cleaning, cross-platform coordination, and cost control.

Why Do Web3 Projects Need a Dedicated Cryptocurrency Community Number Screening Strategy?

The data characteristics of cryptocurrency communities are completely different from traditional industries:

• Mixed number sources: Airdrop registrations, Twitter scraping, paid lists… many numbers are temporarily generated or already deactivated.
• High activity fluctuation: Many crypto users have multiple TG accounts, and they may be active one month and abandon them the next. Traditional binary verification of “active/inactive” is insufficient to determine user value.
• Gender matching needs: Some projects (e.g., GameFi, SocialFi) require targeted gender-based invitations, but gender cannot be identified solely from phone numbers — it must be done through avatar recognition.

If you operate directly without screening, common consequences include: DM delivery rates below 20%, high group join failure rates, and increased risk of account reports. By using professional TG screening tools (such as KK-DATA’s screening capabilities), you can apply three layers of filtering: activation detection → activity level layering → gender recognition. This divides numbers into three tiers: “TG active + gender confirmed”, “TG valid but inactive”, and “only activated”, corresponding to different marketing intensities, thereby significantly improving ROI.

Data Preparation Before Cryptocurrency Community Number Screening: Number Sources and Cleaning

Before screening, you must first organize the number list. Messy data will lead to inaccurate screening results and waste detection costs.

Common Number Source Channels and Precautions

• Airdrop/event registration lists: Usually of higher quality, but there are many fake accounts or disposable email registrations, and numbers have short validity.
• TG group public information: Can be obtained by scraping group members, but compliance must be considered, and many are zombie accounts.
• Overseas number vendors: Before purchasing, confirm whether the vendor guarantees “TG registered”, but often they only confirm activation status, and activity is unknown.
• Global number generation: For projects targeting specific countries (e.g., Vietnam, Nigeria, Brazil), you can randomly generate number ranges using a platform and then screen them, avoiding direct purchase of second-hand data.

Data Cleaning: Format Standardization and Deduplication

After obtaining the raw numbers, two cleaning steps are necessary:

1. Format standardization: Remove spaces, parentheses, and unify country code prefixes (e.g., +86, +1) to ensure numbers are in international format. KK-DATA’s console supports batch import of CSV or TXT files and automatically recognizes numbers, but it is recommended to pre-process with Excel or scripts to avoid encoding issues.
2. Deduplication: If the same number appears in different batches, it will cause duplicate detection and duplicate charges. Use a data deduplication repository (such as KK-DATA’s “Data Deduplication Warehouse”) to automatically compare numbers from historical tasks. When submitting a new task, the system will exclude numbers that have already been detected, saving balance.

Core Steps of TG Screening: From Activation Detection to Activity Level Layering

The following process is based on KK-DATA’s real screening functionality and is suitable for number lists of any scale (up to approximately 1 million entries per task).

Step 1: TG Activation Detection — Remove Unregistered Numbers

Select the “TG activation” detection type. The system determines whether the number exists based on Telegram’s registration status. This step typically filters out 30%–50% of invalid numbers. For newly purchased number pools, the activation rate may be below 20%, so it is strongly recommended to perform activation detection first to avoid wasting money on subsequent activity detection.

Step 2: TG Activity Screening — Lock in Recently Online Users

Using “TG activity” detection, you can specify a time window (7 days, 15 days, 30 days, etc.) to filter numbers that have had online behavior within that period. Active users have a much higher conversion rate than merely activated numbers. For Web3 projects, it is recommended to use a 7-day or 15-day window because cryptocurrency community topics update quickly, and users who haven’t logged in for more than 30 days are likely churned.

Step 3: Gender Recognition and TGID Export — Refined Layering

KK-DATA supports gender recognition based on the number’s Telegram avatar (male/female/unknown). If the project requires targeted delivery (e.g., male-oriented chain games, female-oriented social DApps), you can combine gender and activity level for more precise layering. Additionally, exported tgids can be used for subsequent group invitations, direct messaging, or integration with group management tools.

Best practice: You can select “TG activation + TG activity (7 days) + gender recognition” in a single task, and the system will output results for each dimension at once, reducing repeated submissions.

Cross-Platform User Acquisition: Coordinating TG Screening Results with WhatsApp, iMessage

Many crypto users use both Telegram and WhatsApp, especially in Southeast Asia and South America. After obtaining a batch of active numbers through TG screening, these numbers can be further used for detection on other platforms for multi-channel reach.

For example: First, use TG screening to select “7-day active users.” Then submit these numbers to WhatsApp validity detection to confirm which numbers also have WhatsApp registered. This allows you to use WhatsApp as a supplementary channel (WhatsApp sometimes has higher delivery rates in certain countries) in addition to TG DMs. Similarly, iMessage detection works for iOS users in Europe and America, and RCS detection works for new Android devices.

Global Number Generation and Screening Pipeline: Suitable for International Communities

When a project needs to cover specific countries/regions (e.g., Southeast Asia, Middle East, Latin America), buying local numbers directly is expensive and has poor timeliness. A better strategy is to use the global number generation feature: KK-DATA supports random generation of numbers from 240+ countries/regions, as well as generation by number range or importing custom CSV ranges. Generation is free; charges only apply when using screening detection.

Pipeline example:

1. Generate 100,000 random numbers for the target country (e.g., Indonesia).
2. Submit “TG activation” detection to get a list of registered numbers.
3. Perform “TG activity (15 days) + gender recognition” on the registered numbers.
4. Export the filtered results for targeted group invitations or airdrop events.

The entire process is completed within the KK-DATA console without switching tools. Although generated numbers are random, after screening, the actual proportion of active numbers is usually higher than second-hand lists purchased from the market.

Cost Control and Balance Management for Cryptocurrency Community Number Screening

KK-DATA charges per entry, with no subscription fees. You recharge USDT (TRC20) to use the service. This means costs are fully controllable — you pay only for the number of detections performed. Before submitting a task, an estimated fee is displayed, allowing you to adjust screening conditions based on your budget. For example, narrowing the activity window (from 30 days to 7 days) reduces the number of numbers flagged as active, thereby lowering detection costs.

It is recommended to plan detection volume weekly or monthly; insufficient balance will prevent new task submissions. The minimum recharge is approximately 50 USDT, suitable for small-scale testing; for large-scale operations, recharge more balance at once to avoid multiple withdrawal fees.

Practical Case: How a Web3 Project Team Increased Community Join Rate by 3x Through Screening

Suppose a Web3 game project team collected 200,000 raw numbers from an airdrop event. The traditional approach would be to invite them to join the community directly via bulk messaging tools, resulting in a join rate of less than 2%.

Through the cryptocurrency community number screening process, they performed the following steps:

1. TG activation detection: Only 80,000 of the 200,000 numbers were registered (filtering out 60%).
2. TG activity (7 days) screening: Of the 80,000 registered numbers, approximately 35,000 had activity within the last 7 days.
3. Gender recognition: Identified 21,000 males, 11,000 females, and 3,000 unknown. The project team decided to prioritize inviting male users — they are typically more interested in chain games.
4. Export TGID: Imported the 21,000 male active user IDs into community management tools for targeted invitations.

Ultimately, approximately 8,000 people joined the community (join rate about 38%), nearly 3x higher than the original plan. Additionally, because only high-intent users were invited, the risk of account reports was reduced.

Note: The above data is a hypothetical scenario; actual results depend on number quality and project fit.

Frequently Asked Questions

Q: How is “activity” defined in TG screening?

A: KK-DATA’s TG activity detection supports customizable time windows (7/15/30 days, etc.). The system checks Telegram’s public data interface to determine whether the number had online behavior or activity records within the specified period, marking it as “active”. For specific activity criteria, refer to the official documentation (https://docs.kkdata.cc/).

Q: Does cryptocurrency community number screening support analyzing whether a user has joined a specific group?

A: Currently, KK-DATA’s screening features focus on the number’s registration status, activity level, and gender; group membership record detection is not provided. To verify whether a user is already in a specific group, additional tools or APIs are required.

Q: Are the numbers generated by global number generation real? Will they be blocked by carriers?

A: Global number generation creates random virtual numbers based on international number range rules; these are not real registered numbers. They are primarily used for subsequent screening tests or batch filtering. It is recommended to validate usability through the platform (e.g., TG activation detection) after generation. Carrier blocking risk is low, but local anti-spam regulations must be observed.

Q: What happens if my balance is insufficient after screening but some detections have been completed?

A: An estimated fee is displayed before submitting a screening task. Once the task starts, the system locks that fee. Even if the balance is insufficient, completed detection records remain valid, but failed charges will not affect exported data. It is recommended to maintain sufficient balance; otherwise, new tasks cannot be submitted.

Q: How can Web3 projects protect user privacy and prevent number leakage?

A: It is recommended to strictly limit data access permissions, allowing only necessary personnel to access raw numbers; promptly delete cloud task results after using the platform; and do not share screening results with third parties arbitrarily. KK-DATA uses HTTPS transmission, but data security is ultimately the user’s responsibility.

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Next Steps: Log in to the KK-DATA Application Console to experience TG screening features, or refer to the official documentation for more operation guides. For personalized needs, contact support via Telegram @kkdata_robot. Before first use, it is recommended to review the billing page for detailed unit prices.