Number Filtering System Scoring Card Template: 7 Dimensions to Objectively Evaluate Telegram/WhatsApp Number Filtering Tools (Including Scoring Table and Comparison Guide)

Choosing a reliable number filtering system is a key step in overseas customer acquisition. Whether sending batch notifications via Telegram or precisely reaching customers through WhatsApp, the validity of phone numbers directly impacts your ROI. However, the number filtering tools on the market often have vague feature descriptions, inconsistent pricing models, and restrictive export options. Teams that rely solely on intuition or ad selection are prone to pitfalls.

A number filtering system scoring card can transform subjective evaluations into objective scores, enabling horizontal comparisons of different tools under a unified standard. This article provides a complete scoring card template covering 7 core dimensions, along with a scoring table and comparison methodology, supplemented by practical comparison guidelines for tools like 007data, thdata, and KK-DATA to help teams make scientific procurement decisions.

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Scoring Card Template Overview and Usage Instructions

The scoring card includes 7 major dimensions, each with 2–3 checkpoints, scored on a 1–5 scale (5 = fully meets requirements, 1 = does not meet). You can simply sum the scores (maximum 35 points) or assign weights based on business importance (e.g., filtering functionality weight 25%, pricing model weight 20%).

Example Scoring Table Structure:

Dimension	Sub-item	Score (1–5)	Notes/Evidence
Filtering Functionality & Platform Support	Platform Coverage	4	Supports TG/WA/iMessage, missing RCS
Filtering Functionality & Platform Support	Detection Types	3	No gender identification, only valid/active
Filtering Functionality & Platform Support	Batch Processing Capability	5	Single task 1 million numbers, stable concurrency
…	…	…	…

Before using, adjust the weight of each dimension according to your business scenario (e.g., only need Telegram filtering, need global number generation, limited budget). The purpose of the scoring card is not to achieve the highest total score, but to find the tool that best matches your needs.

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Dimension 1: Filtering Functionality & Platform Support

Platform Coverage

Evaluate whether a number filtering system covers all your target platforms: Telegram, WhatsApp, iMessage, RCS, etc. Some tools only support a single platform, while you may need cross-platform filtering (e.g., detecting which numbers from the same batch are active on both TG and WA). Additionally, whether it supports number detection in 240+ countries/regions, and includes new capabilities like RCS or carrier detection, are important bonuses.

For example, KK-DATA supports TG/WA/iMessage/RCS and continuously updates its detection capabilities; some competitors focus only on TG or WA as a single platform.

Detection Types & Accuracy

Check what types the tool can detect on each platform: valid/registered, activity level (e.g., specified 7/15/30-day activity window), gender identification (based on avatar or nickname), tgid/wsid export, etc. Note that when accuracy lacks independent third-party verification, you can refer to the platform’s own claims and industry reputation. The scoring card should note “for reference only.”

Batch Processing Capability

What is the maximum number of numbers per single task? 1 million, 500k, or 100k? Does it support concurrent tasks? Is there a task queuing mechanism? For large clients or high-frequency users, the weight of this dimension can be increased to 20%.

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Dimension 2: Pricing Model & Cost Efficiency

Pricing Transparency

Clear and transparent pricing is a key item in the scoring card. Check: Does it display an estimated cost before submitting a task? Is the unit price stable? Are there hidden deductions (e.g., additional export fees, no refund for undetected numbers)? For example, KK-DATA shows an estimated cost before task submission, and the balance can be queried in real time; some tools have vague unit prices or bundled packages, which are less friendly for light users.

Payment Convenience & Fund Risk

Overseas teams generally need anonymous USDT top-ups to avoid exposure of fund channels. Checkpoints: What payment methods are supported (USDT TRC20/ERC20, credit card, others)? How fast is the deposit arrival? Is there a refund policy? What is the minimum top-up threshold? A pay-as-you-go model (e.g., KK-DATA’s USDT top-up without subscription) is more friendly for flexible budget control, but note the balance validity period and minimum threshold.

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Dimension 3: Data Export & Subsequent Use

Format & Field Completeness

Does the exported number data retain complete detection fields: tgid, wsid, gender, activity label, update time, etc.? Can you customize export fields (e.g., export only “active female users”)? Are exported fields clear and easy to read? Are common formats like CSV, TXT, Excel all supported?

Deduplication Mechanism & Repository

A data deduplication repository is an invisible cost-saving tool. Check whether the tool supports cross-task number deduplication to avoid wasting balance on duplicate detection of the same number. Is deduplication automatic or manual? Is there a limit on repository size? KK-DATA offers cross-task deduplication, effectively reducing repeated charges.

Notifications & Integration

Can you receive notifications via Telegram, email, etc., after task completion? Are API interfaces provided for automated pipelines?

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Dimension 4: Data Security & Fraud Prevention

Evaluation dimensions include: whether the platform provides official customer service verification channels (e.g., unique Telegram official account ID), whether number data is encrypted, whether top-ups are anonymous, and whether there have been any historical data breaches. For teams with large pay-as-you-go volumes, this dimension should account for at least 15% of the weight.

Fraud prevention query is a particularly important feature for overseas teams. Many teams lose top-up funds due to falling for fake customer service. We recommend adding “official customer service verification channel” as a sub-item in the scoring card (e.g., KK-DATA provides anti-fraud reminders on its website and TG channel).

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How to Use the Scoring Card for Horizontal Comparison (Example: 007data, thdata, KK-DATA)

Below is a hypothetical scoring comparison example (method demonstration; please fill in actual scores based on real usage):

Evaluation Dimension	007data	thdata	KK-DATA	Notes
Filtering Functionality & Platform Support	4	3	5	KK-DATA wide platform coverage (TG/WA/iMessage/RCS); 007data focuses on TG; thdata fewer platforms
Pricing Model & Cost Efficiency	3	3	4	KK-DATA transparent pricing, pay-as-you-go; others vague packages
Data Export & Deduplication	3	2	5	KK-DATA includes dedup repository and multi-field export
Data Security & Fraud Prevention	2	2	4	KK-DATA provides official customer service verification, comprehensive anti-fraud tips
Interface & Ease of Use	3	3	4	Clean console, clear documentation
Customer Support	3	2	4	Telegram support with relatively fast response
Update Frequency & New Features	2	2	4	KK-DATA continuously adds RCS, gender identification, etc.
Total Score (out of 35)	20	17	30	Unweighted, for reference only

Decision Tips: If you only need Telegram filtering, have a limited budget, and don’t prioritize data security, 007data may be suitable; if you need cross-platform batch filtering, value deduplication, anti-fraud, and data quality, KK-DATA is a better choice. We recommend combining the scoring card as a “veto” and “quantitative scoring” approach — for example, exclude any tool with a fraud prevention dimension score below 2.

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Free Resources & Tool Recommendations and Evaluation Points

Although many overseas teams prioritize free tools, please note:

1. Free tools usually have number limits (e.g., 1000 numbers per day), fewer detection types, no deduplication, incomplete exports, and are suitable only for very small-scale testing.
2. In the evaluation scoring card, you may set the pricing transparency of free tools to 5 (completely free, no hidden fees), but functionality and batch processing capability will be significantly reduced.
3. For long-term, high-frequency batch filtering, choose a pay-as-you-go platform like KK-DATA or similar to avoid data fragmentation from frequent tool switching.

Key Evaluation Points Summary:

• Don’t just look at the unit price; also check whether it supports deduplication, export format, and task limits.
• Be wary of “free” features in number filtering systems — they may profit by charging extra for exports or reducing detection accuracy.
• Prioritize integrated platforms that offer Telegram number filtering tools and WhatsApp valid number detection to reduce cross-platform switching costs.

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Frequently Asked Questions

Q: Can the scoring card completely replace a trial?

A: No. The scoring card is suitable as an initial screening and horizontal comparison tool to quickly eliminate obviously unsuitable tools. Before making a final decision, be sure to apply for a trial or small-scale test order to verify actual detection accuracy and stability.

Q: How to determine whether a number filtering platform’s detection is genuine?

A: You can verify through small sample tests: prepare a batch of numbers that are known to be valid, invalid, and unregistered, then compare detection results with actual status. You can also refer to user reviews in industry communities (e.g., Telegram groups), but be cautious of fake reviews.

Q: Is Telegram activity detection really reliable?

A: Reliable number filtering platforms (like KK-DATA) provide different activity windows (7/15/30 days), and detection results are based on Telegram server responses, with relatively high accuracy. However, no detection method can be 100% accurate; activity detection should only be used as a reference, combined with other indicators for comprehensive judgment.

Q: Our small team has a limited budget. How should we choose a number filtering tool?

A: We recommend prioritizing pay-as-you-go platforms without subscription fees (e.g., KK-DATA), along with deduplication repository functionality. Avoid wasting balance on duplicate detection. Also, control top-up amounts based on actual detection volume to reduce fund risk.

Q: How to identify fake customer service of a number filtering platform?

A: Legitimate platforms will prominently display official customer service contact information and anti-fraud tips on their website. For example, KK-DATA’s official customer service is only @kkdata_cc, and the website has an “anti-fraud query” entry. Do not trust any customer service messages from unofficial channels.

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Action Guide: Download the scoring card template (or create your own table based on this article’s structure) and start horizontal comparison of number filtering systems like 007data, thdata, and KK-DATA. If you want to quickly start cross-platform number filtering, you can directly log into KK-DATA Console to experience pay-as-you-go and deduplication repository features, or refer to the documentation for more details. Official customer service @kkdata_cc is also available for specific needs.