Complete Guide to Number Screening Sources: How to Identify Reliable Data Sources and Evaluate Number Quality (2025)

In B2B outbound customer acquisition, the number screening source is often overlooked, yet it directly determines your marketing conversion rate and budget efficiency. Whether you use Telegram mass messaging, WhatsApp private messages, or iMessage promotions, the validity, activity, gender, and other attributes of numbers all depend on the data detection channel behind the screening platform—that is, the “source.” If the source is inaccurate, all subsequent actions are futile. This guide will start from the definition of the screening source, gradually break down evaluation indicators, compare mainstream platforms, provide practical workflows, and help you avoid common pitfalls.

What Is a Number Screening Source? Why Does It Determine Your Customer Acquisition Results?

The screening source does not solely refer to the origin of the numbers. It includes two layers:

Data Detection Channel: The technical method by which the platform verifies whether a number is active, on which platform it belongs, and its recent activity.
Original Number Data: The quality of the number list you submit for screening (whether it is outdated, already flagged, etc.).

Together, these form the “screening source.” A reliable source means detection results are close to the real state, leading to higher marketing reach rates and lower account ban risks. Conversely, an inaccurate source causes you to waste substantial amounts on invalid numbers and even leads to account bans due to frequent failed sends.

Screening Source vs. Ordinary Number List—Essential Differences

An ordinary number list (obtained from crawlers, third-party purchases, public channels) usually contains only number strings with no status tags. You might spend 0.1 CNY per number for 100,000 numbers, but 70% may not be registered on Telegram or may have been abandoned. In contrast, data that has been screened through a proper source includes at least the following information:

Whether registered (registration detection)
Whether active (online behavior in the last 7/15/30 days)
Platform attribution (Telegram / WhatsApp / iMessage)
Some platforms can identify gender (based on avatar or nickname)

“Alive,” “reachable,” and “showing activity signals” are the thresholds for valid data. Source screening transforms an ordinary number list into executable marketing assets.

Three Costs of Source Inaccuracy: Invalid Consumption, Account Ban Risk, Misleading Decisions

Invalid Consumption: A poor source may cause over 40% of invalid numbers to be detected as “valid.” At a detection cost of 0.02 CNY per number, detecting 100,000 invalid numbers results in a loss of 800 CNY (based on 40% invalidity).
Account Ban Risk: Frequently sending messages to invalid numbers triggers platform anti-spam mechanisms, resulting in sending restrictions or account bans.
Misleading Decisions: Incorrect gender labels lead you to promote female products to male users; wrong activity indicators waste time on silent numbers, resulting in extremely low conversion rates.

Five Core Indicators for Assessing the Source Quality of a Number Screening Platform

No technical background is needed. Operations personnel can quickly evaluate whether a screening platform’s data source is reliable using the following dimensions.

Detection Method—Why “Direct Detection” Is More Trustworthy

Direct detection means the platform interacts with the target platform directly through official protocols (e.g., Telegram API, WhatsApp Business API) or direct server connections. Its advantages:

Real-time Results: The number status reflects the true state at the current moment, with no cache delay.
High Accuracy: Typically above 95% (cross-verified with known numbers).
Complete Fields: Can obtain additional information like tgid, wsid, and activity timestamps.

In contrast, proxy detection queries through third-party intermediary servers, possibly using outdated caches or falsified results. Proxy detection is cheaper but its accuracy is uncontrollable. A reliable screening source usually indicates “Direct Detection” in its documentation or console.

Data Freshness and Coverage of Number Lifecycle

Newly registered numbers may be reclaimed or abandoned within hours. Evaluate whether the platform covers multiple time windows:

Just registered (same day)
Active in last 7 days
Active in last 15 days
Active in last 30 days
Long-term silent (no behavior in 60+ days)

A good screening source provides “activity window” options so you can filter as needed. For example, if you only need Telegram users active in the last 7 days, select “7-day active” detection type to avoid mistakenly including long-term silent numbers.

Cross-Platform & Cross-Country Source Integration Capability

B2B outbound often requires multi-platform coordination (Telegram plus WhatsApp). A high-quality source should output detection results for multiple platforms in a unified format, avoiding repeated data cleaning across different platforms. For example, you upload a single number list, detect simultaneously whether numbers are registered on Telegram and valid on WhatsApp, and get results merged into one CSV. This integration capability greatly improves data pipeline efficiency.

Deduplication Mechanism—Avoid Wasting Balance on Repeated Detection

Cross-task repeated detection is a hidden cost drain. Suppose you first screen 100,000 numbers, then upload the same 50,000 numbers in another task. If the platform lacks deduplication, those 50,000 are charged again. Excellent screening platforms provide a “data deduplication repository” that automatically identifies numbers already screened in previous tasks and charges only for new numbers. This can directly save 20%–50% of costs.

Transparency—Documentation and Real-Time Pricing

Platforms with transparent source quality clearly describe in their documentation the detection method, activity window definition, supported platform list, and unit price for each detection type. Opaque platforms hide details, making it hard for you to evaluate. Before submitting a task, the platform should show an estimated cost to avoid disputes after deduction.

Comparison of Mainstream Screening Platform Source Types and Applicable Scenarios

The following compares common screening platforms currently on the market (including 007data, thdata, KK-DATA, etc.), focusing on functional breadth, pricing transparency, data export, and deduplication capabilities. Note: Specific prices are not included; see each platform’s official website or console for real-time pricing.

Dimension	007data	thdata	KK-DATA
Main Business	Primarily Telegram number screening	Telegram / WhatsApp number screening	Multi-platform: Telegram, WhatsApp, iMessage, RCS, etc.
Detection Method	Direct detection (Telegram)	Mixed (partially direct)	Direct detection, supports multiple platforms
Activity Window	Offers 7/15/30 days, etc.	Test yourself	Clearly labeled activity window options
Cross-Platform Integration	Not supported	Supports WhatsApp but formats not unified	One upload, multi-platform detection, unified output
Data Deduplication Repository	Not disclosed	Not disclosed	Provides cross-task automatic deduplication
Billing Model	Per-number fee + packages	Per-number fee	No subscription, pure per-number fee, estimated cost shown before task
Export Format	CSV/TXT	CSV/TXT	CSV/TXT
Gender Recognition	Supported (avatar recognition)	Not clearly stated	Supported (avatar recognition)
tgid/wsid Export	Only tgid	Only wsid	Both tgid and wsid exportable

Functional Breadth: Multi-Platform All-in-One vs. Single-Point Tool

007data is known for early Telegram screening but lacks WhatsApp and iMessage support. thdata covers Telegram and WhatsApp but detection formats are not unified, requiring separate processing. KK-DATA currently supports Telegram, WhatsApp, iMessage, RCS, etc., and can detect multiple platforms in a single task, reducing data movement and format conversion—especially suitable for teams needing multi-platform outreach.

Billing Transparency: Per-Number Fee vs. Subscription Package vs. Hidden Costs

Per-number fee (e.g., KK-DATA) is friendly for startup teams and fluctuating tasks: pay as you use, no monthly fixed expenses. Subscription packages (some platforms) may force you to pay for unused quotas; subscription balances are cleared upon expiration, reducing flexibility. Hidden costs appear as undisclosed extra charges (e.g., export fees, API call fees). KK-DATA shows estimated costs before task submission and does not allow submission if balance is insufficient, preventing unexpected deductions.

Data Export and Deduplication Repository—The “Last Gate” of Source Quality

Most platforms support CSV and TXT export, but the deduplication repository is a key differentiator. 007data and thdata currently do not disclose cross-task deduplication; KK-DATA’s data deduplication repository can automatically detect duplicate numbers from historical tasks, avoiding repeated detection of the same “source,” directly saving costs. For teams processing hundreds of thousands of numbers daily, this feature can reduce detection costs by 20%–50%.

Practical: How to Build a High-Quality Customer Acquisition Data Pipeline Using a Screening Source Flow

The following uses KK-DATA as an example (not a mandatory recommendation, only for reference) to show the complete operation steps from number generation, multi-platform screening, data deduplication, to export. Other platforms are similar and can be followed accordingly.

Number Generation (Free): In the console, select country, platform (Telegram/WhatsApp/iMessage), and randomly generate 100,000 candidate numbers. Or upload a custom CSV (e.g., your customer list).
Select Detection Type: Create a new screening task. Check the platforms you want to detect: Telegram (can be detailed as “Registration Detection,” “7-Day Active,” “15-Day Active”), WhatsApp (valid detection), iMessage, etc. If gender data is needed, select “Gender Recognition.”
Submit Task: Confirm the estimated cost (shown in console). If balance is sufficient, submit. After completion, the system automatically sends a Telegram notification (bind in advance).
Data Deduplication: If the same numbers were previously screened, the deduplication repository automatically skips them, no repeated charges.
Export: Choose CSV or TXT. Fields include number, platform, whether registered, activity status, gender, tgid/wsid, etc.
Import into Your CRM or Marketing Tools: Use tgid for long-term targeting (ID remains unchanged even if the user changes numbers), use activity level for grouped sending.

The entire process from 100,000 raw numbers to the final valid list takes about 5–15 minutes (depending on platform real-time status). The key is that source filtering eliminates invalid numbers at the first step, greatly improving subsequent marketing efficiency.

Common Misconceptions: These “Source Pits” You Might Have Stepped Into

“The Larger the Number of Numbers, the Better”—Source Filtering Is the Key

Blindly pursuing lists of hundreds of thousands or millions of numbers, if not filtered by source, may yield an effective rate under 30%. For example, 500,000 “precise customer” data purchased from public channels may have only 50,000 valid Telegram accounts. You pay for screening 500,000 numbers but only get 50,000 usable data—cost increased tenfold. The correct approach is to test a small sample first (e.g., 1,000 numbers), evaluate the source effectiveness rate, then submit in bulk.

“Free Screening Tools Are Also Usable”—Beware of Data Theft

Some free or low-cost tools may collect the number data uploaded by users, resell it to third parties, or profit from embedded ads. Worse, they may provide fraudulent detection results, leading you to believe numbers are valid, only to receive numerous failure callbacks after sending. For privacy and data security, be sure to verify the platform’s data source and privacy policy to avoid source data leaking to competitors.

Note: Hidden Costs of Free Screening

Some platforms claiming “free detection” may profit by stealing your uploaded number data, reselling it, or embedding ads. Before use, be sure to verify their data source and privacy policy to avoid source data leaking to competitors.

“One Detection Type Is Enough”—Ignoring Activity Lowers Conversion

Only doing “registration detection” and assuming numbers are usable is a common mistake. Registration detection only verifies whether the number is registered on the platform, not whether the user has been online recently. Sending to users inactive for 60 days results in very low open and reply rates, and may even be flagged as spam. It is recommended to select an activity window (e.g., 7 days, 15 days) based on marketing timeliness; the source will filter out long-idle users.

How to Evaluate Whether a Screening Platform Is Worth Long-Term Use

To continuously evaluate a screening platform/source provider, in addition to comparing the core indicators above, pay attention to the following “soft indicators”:

Documentation Completeness: Is there clear description of detection types, API documentation, and activity window definitions? The more detailed the documentation, the more professional the team.
Customer Support Response Time: When asking questions via Telegram or email, do they reply within 1 hour? Reliable sources usually have dedicated support and provide verification methods (e.g., KK-DATA official customer service).
Changelog Frequency: Are there functional updates or bug fixes every month? Platforms that stop updating for long periods may have outdated technology.
Data Security Commitment: Do they explicitly state that they will not resell your number list? Is there a privacy policy?

Tip: Test the Source with 100 Numbers First

Before submitting a batch task, test with 100 numbers of known status (e.g., numbers you confirm are valid) and compare detection results with actual status. A reliable screening source usually maintains accuracy above 95%. See KK-DATA Usage Documentation.

Frequently Asked Questions

Q: In the screening source, what is the difference between “direct detection” and “proxy detection”?
A: Direct detection means the platform verifies directly through official protocols (e.g., Telegram API, WhatsApp Business API) or direct server connections, providing real-time and accurate results. Proxy detection goes through third-party intermediary servers, which may have cache, latency, or data missing. Direct detection is a hallmark of high-quality screening sources.

Q: Which has a better screening source, 007data or KK-DATA?
A: Both are common options in the market, but evaluation dimensions differ. 007data is known for early Telegram screening; KK-DATA currently supports multiple platforms (Telegram, WhatsApp, iMessage, RCS, etc.) and provides cross-task deduplication repository. For specific detection accuracy, unit price, and source, please refer to each platform’s official website or console real-time data, and compare their export formats and console operation experience.

Q: Why is thdata’s screening source data sometimes inaccurate?
A: Possible reasons include: detection method not direct, number list too old (e.g., already reclaimed), or unclear activity judgment criteria. A reliable screening source should clearly state detection types (registration/valid/active) and activity window definitions (e.g., 7 days/15 days/30 days). It is recommended to cross-test with a small number of known numbers.

Q: Does “number generation” in the screening source count as falsifying data?
A: Not equal to falsification. “Number generation” refers to randomly generating potentially valid numbers that conform to the country/region number plan rules. These numbers may or may not be registered; they need to be confirmed through screening detection. It is the first step of data source exploration, not the final data.

Q: What is the use of exporting tgid after screening?
A: tgid (Telegram user ID) is more stable than a phone number—the ID remains unchanged even if the user changes their number. It can be used for long-term precise targeting deduplication, CRM association, or re-targeting. Screening sources that support tgid export typically provide deeper marketing data.

Further Reading:

Log in to the Application Console now to start building your screening source pipeline and acquire customers efficiently with data.

Complete Guide to Source Filtering: How to Identify Reliable Data Sources and Evaluate Number Quality (2025)

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