Practical practice of base material screening: How to accurately target active users before breaking the ice in the currency circle Web3 community?

In the Currency Web3 project, community ice-breaking is a key link in user growth. However, many project parties make a mistake in the first step: taking a list of numbers collected from various channels and directly importing them into Telegram or WhatsApp for group sending, they find that a large number of numbers have not been opened for the corresponding platform, or the users have already been “zombified”. Errors in this link often lead to wasted budget and reduce the activity of the community. Basic screening is a systematic project to solve this problem - it is not a simple number verification, but a multi-dimensional cleaning of the potential user list, including effective activation detection, activity judgment, and even user portrait (gender, age) acquisition. This article will combine the KK-DATA screening platform to break down in detail the entire process of base material screening before breaking the ice in the currency community, helping you find truly active seed users at the lowest cost.

What is base material screening? Why does the currency community need to conduct background screening in the early stage?

In the context of the currency circle, base material screening refers to a series of automated verification and filtering operations on the original number list, and finally obtains a “high-purity” list of potential users. The “high purity” here is reflected in:

• Number is valid: Confirm that the number has been activated on a specific social platform (such as Telegram, WhatsApp).
• User Active: The user has recent login or usage records, not a zombie account that is idle after registration.
• User profile matching: Use fields such as gender and age to screen out users who are consistent with the project’s target group (for example, DeFi projects tend to favor male users, and GameFi projects may focus more on people aged 20-35).

Common consequences of not doing base material screening include:

• A large number of invalid numbers: After sending a group message, a large number of numbers are not registered, which directly causes the sending to fail or is displayed as unread.
• Account Banning Risk: Sending messages to inactive or blocked numbers may trigger the platform’s anti-spam mechanism, resulting in the sender’s account being restricted.
• Low conversion rate: Even if the number is valid, the user has no interest in the currency circle, the ice-breaking copy is not targeted, and the conversion rate is extremely low.

Therefore, base material screening is the infrastructure for the early operation of the currency community. It determines the efficiency of subsequent private messages, invitations, airdrops and other actions, and is the primary lever for ROI improvement.

Three major pain points faced by the selection of base materials in the currency circle

Pain point 1: Number validity cannot be guaranteed

Numbers obtained from various channels (such as competing product communities, crawler data, offline activities) often come from confusing sources, and there is no distinction between whether they are registered on the target social platform. Direct use may lead to a large investment in “empty numbers” and waste of sending resources and labor costs.

KK-DATA’s solution: Supports multi-platform activation detection such as Telegram, WhatsApp, Line, Zalo, iMessage, etc. Users only need to submit a list of numbers and select a detection type (such as Telegram activation) to quickly confirm which numbers have been registered. A single task supports up to about 1 million numbers, and batch processing is extremely efficient.

Pain Point 2: Low activity, waste of dial-up costs

Even if the number is activated on the platform, the user may not have logged in for a long time. The currency circle project needs active users - they will check the news in a timely manner and participate in community interaction. Sending private messages to inactive users often leads to nothing and consumes account credit and time.

KK-DATA’s solution: Provide activity detection function. For example, Telegram activity detection can specify active windows such as “last 7 days”, “last 15 days” and “last 30 days” to filter out users who have logged in recently. In addition, platforms such as WhatsApp and Zalo also support activity detection to help target high-value users.

Pain point 3: Lack of user portraits, ice-breaking copywriting is not targeted

The success or failure of icebreaking copywriting largely depends on whether it “tells the conversation.” If you don’t know the gender and approximate age of your target users, it’s difficult to write content that resonates. For example, projects targeting male users (such as certain DeFi protocols) and NFT projects targeting female users have completely different ice-breaking angles.

KK-DATA’s solution: The filter results of some platforms include fields such as gender, age, avatar, and race. Taking Telegram as an example, the detection type includes “telegram gender data”, which can return gender and age range (such as about 30 years old). These fields can help operators quickly build user profiles and customize more targeted ice-breaking tactics.

Note: The age field is derived from non-public data on mobile phones/social platforms. It can only infer the approximate age group and does not have identity-level accuracy. It is recommended to be used as a reference for crowd preference and not to be used as the only filtering criterion.

Standard process for selecting currency circle base materials: from number generation to data export

The following four-step process can be performed in its entirety or combined as needed. The KK-DATA platform integrates number generation, multi-platform filtering, data deduplication, and export into a unified console for smooth operation.

Step one: Targeted number generation (global number segment or custom import)

If your number list is starting from scratch, you can use KK-DATA’s global number generation function, which covers number segments in 240+ countries/regions and supports random generation or specified number segment generation. You can also directly import your own existing CSV number list.

• Applicable scenarios: ① There are no ready-made numbers and a pool of potential users needs to be created in batches; ② There are target countries/regions (such as Southeast Asia and Latin America) and you want to generate numbers in the corresponding number range in a targeted manner.
• Note: Number generation is completely free, only subsequent screening number testing will be deducted on a per-item basis.

Step 2: Multi-platform social screening accounts (Telegram, WhatsApp, Line, etc.)

Submit the generated or imported numbers to the screening task, and select the platform and detection type to be tested. Supports detection of multiple platforms at the same time, and results in multiple dimensions can be obtained with one submission.

• Common combinations: Telegram activated + active + gender; WhatsApp activated + active; Line activated + gender; Zalo activated + active + gender (for Southeast Asia).
• Task Management: The system will display the estimated cost before submission. After the task is completed, it will be notified via Telegram (requires configuration in advance). The results can be exported in multiple formats.

Step 3: Data deduplication warehouse to avoid repeated deductions

Before submitting the number screening task, it is recommended to use the data deduplication warehouse function to compare the numbers to be screened with the numbers that have been detected in history and eliminate duplicates. This can avoid repeated deductions for the same number, and is especially suitable for multi-batch and multi-platform screening scenarios.

• Saving effect: A certain project party screened numbers three times in a row, and the actual deductions after deduplication were reduced by about 20-30% (depending on the number duplication rate).
• Operation path: Console → Deduplication warehouse → Upload number → The system will automatically mark the existing number.

Step 4: Export and subsequent import of filtering results

After the filtering is completed, the export format (CSV, TXT, etc.) can be selected on the console. The exported file contains fields such as activation status, activity, gender, age, tgid/wsid/uid, etc., and can be directly imported into social tools (such as Telegram group invitation bot, WhatsApp broadcast API) for the next step of ice-breaking.

• Warm Tips: You can filter again before exporting, for example, only retain users with “TG activated + active in the past 7 days + male” to reduce subsequent workload.

Interpretation of key fields for base material screening: How to use activity, gender, and age correctly?

After getting the screening number results, how to interpret the fields is the key to accurate screening. Here are usage guidelines for common fields:

Field	Meaning	Correct usage
Activated/valid	Whether the number is registered with the corresponding platform	As the most basic filtering condition, unregistered numbers are excluded
Activity	Whether the user has logged in recently	Used in conjunction with the “active window”, such as “active in the past 7 days” for sending time-sensitive content; “active in the past 30 days” for building long-term communities
Gender	The gender of the user (may come from platform information or inference)	Match gender-related copywriting, such as male users focusing on income, female users focusing on community atmosphere
Age	The approximate age group of the user inferred (e.g. about 30 years old)	Cannot be used as precise identity information, only for group preference reference. For example, users aged 20-30 are more receptive to GameFi

Before and after comparison: The efficiency improvement after the introduction of base material screening in a currency circle project

Before screening: blind mass mailing, large quantity and high labor cost

A Southeast Asian DeFi project team (virtual case) initially crawled 100,000 Philippine numbers directly from the entire Internet, then used ordinary number verification tools (only checking the number format) and imported them into Telegram bulk messages. Result:

• Telegram activation rate is only 25% (25,000 valid numbers).
• After further mass messaging, the effective response rate was less than 3% (about 750 people).
• The Telegram account was temporarily banned 3 times due to a large number of invalid numbers during the sending process.
• Total investment: number acquisition cost + labor + account loss, about 5,000 yuan, but less than 100 people were actually recruited.

After filtering: focus on active users and double the ROI

After switching to the KK-DATA base material screening process, the same 100,000 numbers were first tested for Telegram activation, and 25,000 activated numbers were screened out; 25,000 numbers were then activity tested (in the past 7 days), and 12,000 active users were retained; and finally, the gender field (male accounted for 70%) was used for targeted group sending.

• The effective response rate increased to 12% (about 1440 people). -Number of account bans: 0 times.
• Total investment: screening fee (about 2,000 yuan) + labor, totaling about 3,000 yuan, and recruiting more than 500 people.
• ROI increased by about 4 times (new acquisition cost dropped from 50 yuan/person to 6 yuan/person).

The above data is a comprehensive estimate based on actual feedback from the project party. The results may be different in different countries and regions and at different unit prices. Please refer to the real-time price of the console for specific costs.

Common Misunderstandings in Base Material Selection and Guide to Avoiding Pitfalls

Misunderstanding 1: Ignoring data deduplication leads to repeated deductions

Many users directly upload the original number when submitting a task, ignoring that the same number has been detected in historical tasks. As a result, the same number was detected multiple times and the balance was wasted.

Correct approach: Before each submission, clean the number list through the “Data Deduplication Warehouse”. The platform will automatically mark the existing numbers to avoid repeated deductions.

Misunderstanding 2: Only check the activation but not the activity

Some teams only check whether the number has Telegram/WhatsApp enabled and then consider it “valid”. As a result, the response rate after mass sending is extremely low. The user may not have logged in for months, and the message has been lost forever.

Correct approach: Conduct further activity detection on the activated number, and at least screen out users with login records in the past 30 days. For time-sensitive activities (such as airdrops and exchanges), it is recommended to be active in the past 7 days.

Misunderstanding 3: Over-reliance on a single platform screen number

Users in the currency circle usually use it across platforms. For example, a user may have both Telegram and WhatsApp, but if only Telegram is detected, clues about users on WhatsApp may be missed.

Correct approach: Based on the target user distribution of the project, select multiple platforms to filter numbers at the same time. For example, when targeting users in Southeast Asia, detecting Telegram, WhatsApp and Zalo at the same time can cover a more complete user group.

Misunderstanding 4: Not paying attention to platform unit price differences

The unit prices for different platforms and different detection types are different. Telegram is usually the cheapest to activate the test, while gender and age tests are more expensive. If you blindly choose full testing, it may lead to budget overruns.

Correct approach: Check the real-time price in the console and select the detection type based on budget priority. For example, give priority to opening + activeness, and then add gender if you have spare time.

Build a complete data pipeline before breaking the ice in the currency community

Base material screening is not an isolated link, it should be embedded in the entire customer acquisition chain. An efficient pipeline is as follows:

1. Number acquisition: Collect original numbers through global number generation, third-party purchases, offline activities, etc. (pay attention to compliance).
2. Base material screening: Use KK-DATA for multi-platform screening, including activation, activity, gender, age, etc., and use the deduplication warehouse to remove duplication.
3. Data Export: Export the filtered results to CSV/TXT, including necessary fields (such as tgid).
4. Import private message tool: Combine with Telegram private message bot, WhatsApp API or Line official account to conduct targeted icebreaking.
5. Community conversion: Use ice-breaking techniques to guide users into the community and complete follow-up activities.

KK-DATA plays the core role of “data cleaning + portrait generation” in this chain. It supports up to 1 million tasks per task and is billed per task (no subscription fees), making it suitable for projects and studios of all sizes.

FAQ

Question: What is base material screening? What is the difference from ordinary number verification?

Answer: Base screening is an industry term in the cryptocurrency community, which refers to multi-dimensional cleaning of the potential contact list. It not only verifies whether the number has opened Telegram/WhatsApp, but also detects activity, gender and even age range, thereby screening out high-value users. Ordinary number verification usually only checks the number format or operator status, with fewer dimensions and cannot determine whether the user is truly active.

Question: When selecting base materials for currency circle projects, which platforms should be tested first?

Answer: It depends on the target user distribution. Telegram is the first choice for encrypted communities and is recommended to be checked; if it is for Vietnamese/Southeast Asian users, you can overlay Zalo; for European and American users, consider WhatsApp or iMessage; for Chinese communities, you can join Line. For specific costs, see the real-time unit price of the console.

Question: Can base material screening ensure that 100% of the numbers screened out will become active users in the community?

Answer: No. Base material screening improves the quality of numbers, but there is no guarantee that users will be willing to join the community or participate in activities. It is recommended to use the screening results as a “seed list” and combine it with high-quality icebreakers and welfare incentives to maximize the conversion rate. The goal of base material screening is to eliminate ineffective and low-active users and reduce waste, rather than to replace operational ideas.

Question: How is KK-DATA’s screening fee calculated? Do I need to precharge?

Answer: The platform adopts the balance recharge + item deduction model, and there is no subscription package. The minimum deposit is about 50 USDT (TRC20), and you can submit the task after the deposit is received. The cost of each test varies depending on the platform and test type. See the real-time price on the console for details. The estimated cost will be displayed before the task is submitted and will be deducted from the balance after the task is completed.

Question: Can the same batch number be screened multiple times? Will there be repeated deductions?

Answer: You can filter multiple times, but it is recommended to use the “Data Deduplication Warehouse” function first to check whether the number has been detected. If the number already exists, no fee will be deducted for testing again (provided it is the same detection type). If you choose a different platform or a different detection type (for example, last time you only detected activation, but this time the detection is active), it will be considered a new task and charges will be deducted.

---

Basic material screening is done well, and the ice-breaking in the currency circle community will be more effective with less effort. Log in to the KK-DATA console now to start your journey of accurate customer acquisition.

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