How to Choose a Multi-Platform Number Filtering System? A Comprehensive Guide to TG / WS / iMessage / RCS Capabilities and Costs

In the customer acquisition chain for overseas markets, the multi-platform number filtering system acts as the first filter — helping you eliminate invalid numbers, identify highly active users, and even distinguish genders before reaching users in bulk. In the past, many teams relied on a single platform (e.g., only filtering Telegram or only WhatsApp). However, as social media channels become more fragmented, the need to cover channels like iMessage and RCS is emerging. This article compares mainstream solutions from four dimensions: platform coverage, detection dimensions, billing models, and data quality, to help you choose the right TG/WS filtering tool that truly reduces costs and improves efficiency.

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What is a Multi-Platform Number Filtering System? Why Do You Need It for Overseas Customer Acquisition?

A multi-platform number filtering system is a tool that can perform batch validity checks, activity recognition, and even gender or ID export for numbers across multiple instant messaging or social platforms (Telegram, WhatsApp, iMessage, RCS, etc.). In overseas marketing, number quality directly determines the success rate of adding friends, the delivery rate of private messages, and ultimately the conversion cost. A good filtering system can help you:

• Eliminate empty or deactivated numbers: Save invalid consumption when sending messages on Telegram/WhatsApp;
• Lock onto highly active users: Screen by activity windows of 7/15/30 days to improve engagement after reach;
• Unified multi-platform management: Clean the registration status of the same batch of numbers across different platforms at once, avoiding duplicate work.

Below we will compare the detection capabilities of each platform in detail, then delve into costs and operational specifics.

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Which Social Platforms Do Mainstream Filtering Systems Support? Comparing TG, WS, iMessage, and RCS Coverage

Currently, few systems on the market cover all four platforms (TG, WS, iMessage, RCS) and provide advanced detection dimensions. The table below provides a reference framework (specific support depends on actual features available in the console):

Platform	Basic Detection	Advanced Detection	ID Support	Notes
Telegram	Registered (registration check)	Active (7/15/30 days), Gender (avatar recognition)	Supports tgid export	Highest maturity
WhatsApp	Valid number detection	No activity/gender dimension	Supports wsid export	Mainly basic detection
iMessage	Registration/empty number detection	No activity/gender	No ID support	Limited detection capability
RCS	Registration/carrier detection	No activity/gender	No ID support	Newer, fewer supported platforms

Telegram Filtering Capabilities: Registered/Valid/Active/Gender Identification/tgid

Telegram is one of the most popular channels for overseas customer acquisition. A mature Telegram filtering tool should include:

• TG registered detection: Identify whether a number has registered on Telegram, eliminating unregistered numbers;
• TG valid detection: Further verify whether the number can normally receive messages (not banned, not privacy-restricted);
• TG active detection: Identify recent online frequency using custom windows (7 days, 15 days, 30 days, etc.). Active users have higher conversion rates;
• TG gender identification: Determine gender based on avatar AI model, providing basis for subsequent targeted promotion;
• TG id export: Directly export the user’s unique ID on Telegram, facilitating precise audience modeling.

WhatsApp Filtering Capabilities: Valid Detection/wsid Export

WhatsApp detection usually focuses on basic validity: determining whether the number is registered on WhatsApp and whether it can receive messages. Some systems support wsid export, returning the WhatsApp account identifier (wsid) after detection, convenient for subsequent bulk message pushes via official API or commercial solutions. However, WhatsApp activity level is harder to judge, and most platforms currently do not offer this dimension.

iMessage and RCS Filtering Capabilities: Empty Number/Carrier Detection Status

iMessage and RCS filtering are relatively new needs, mainly used to verify whether numbers support Apple or Android native messaging channels. Detection scope usually includes:

• iMessage empty number detection: Determine whether the number has registered iMessage and can receive iMessage messages;
• RCS support detection: Confirm whether the carrier has deployed RCS service and whether the number is activated.

Because the coverage and detection accuracy of these two channels are heavily influenced by regional carriers, mainstream platforms currently provide limited detection dimensions (no activity, no gender). They are more suitable as supplementary cleaning for your number pool rather than core filtering methods.

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Detection Accuracy and Data Dimensions: Which Filtering Results Can Truly Improve Customer Acquisition Conversion?

The core value of number filtering lies not in “being able to detect” but in “detecting accurately with rich dimensions.” The following three key points determine subsequent customer acquisition conversion efficiency:

1. Granularity of number validity labeling: Simply marking “registered/not registered” is far from enough. A good system distinguishes between “valid (can send and receive normally),” “restricted (may be reported/banned),” “unreachable,” etc., allowing you to adopt different strategies for numbers of different qualities.
2. Timeliness of activity windows: 7-day active users have high recent online frequency, suitable for time-sensitive promotions; 30-day active users have a larger base, suitable for brand exposure. Supporting multiple window options gives more flexibility than a single fixed window.
3. Accuracy of gender identification: Gender data based on avatar AI recognition has limited reference value if accuracy is below 70%. You should choose models validated with large samples.

In actual tests, we observed that compared to only doing registered detection, adding activity screening improved private message pass-through rates by 40%–60% on average. Adding gender dimensions further improved targeted promotion click-through rates by 15%–25%. Therefore, when choosing a filtering system, besides platform coverage, you should also evaluate whether the detection dimensions for each platform are deep enough.

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Per-Number Billing vs. Subscription Packages: How to Choose a Billing Model for Teams of Different Sizes?

Per-Number Deduction Model: Pay as You Go, Suitable for Low-Budget Testing

The core advantage of per-number billing is zero threshold: no need to prepay a high subscription fee. After recharging, each completed task deducts according to the actual number of detections. If the balance is insufficient, new tasks cannot be submitted. This model is particularly friendly to small and medium teams because:

• During the testing phase, you can verify data quality with a small budget;
• No monthly minimum consumption pressure; flexible cost control when demand fluctuates;
• No subscription freeze period; you can stop anytime.

Subscription packages usually include a fixed monthly detection quota. If you exceed it in a month, you need to purchase additional numbers; unused numbers are wasted. This may be suitable for large teams with stable business, but for teams just starting overseas expansion or cross-platform validation, per-number billing is more controllable.

Batch Task Size and Concurrency: How Many Numbers Can Be Processed at Once?

Whether you choose per-number billing or subscription packages, the processing limit and concurrency are key in actual operations. For example, can a single task handle 100,000, 500,000, or even 1 million numbers? Does the system support queuing and progress tracking after task submission? These directly determine workflow efficiency. It’s recommended to confirm the system’s maximum single-task capacity and daily concurrency quota (e.g., can you submit 5 million-level tasks simultaneously?). For large-scale cleaning scenarios, a system with a low single-task limit forces you to split tasks multiple times, increasing waiting time.

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Data Deduplication and Privacy Protection: How to Avoid Wasting Balance and Leaking Numbers?

Another indispensable capability of a filtering system is cross-task deduplication. If you have number pools from multiple sources (e.g., generated from different platforms), duplicate detections waste your balance. A good system provides a “deduplication warehouse” that automatically identifies previously detected numbers and skips them, only charging for new numbers.

In addition, export formats (CSV, TXT) should support custom field combinations (e.g., export only numbers that are active + gender = female) for easy import into downstream tools. Regarding privacy, after detection, the platform should have data encryption storage and periodic destruction mechanisms. Special reminder: When using any filtering system, always operate through official channels (such as the official website or official customer service accounts) to avoid scams impersonating customer service. Most legitimate platforms provide anti-fraud query entries in their documentation or console.

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How to Quickly Evaluate the Overall Cost-Effectiveness of a Multi-Platform Filtering System?

Based on the above dimensions, you can quickly filter using the following evaluation framework:

Evaluation Dimension	Key Questions
Platform Coverage	Does it cover the TG, WS, iMessage, RCS you need? What detection types does each support?
Detection Depth	Can it detect activity (custom windows)? Does it have gender identification? Does it support tgid/wsid export?
Accuracy	Is there a public accuracy test report? Or can you apply for a small batch test?
Billing Model	Per-number or subscription? Is the unit price transparent? Can partial deduction be made when balance is insufficient?
Task Capacity	What is the maximum number per single task? How many tasks can be submitted simultaneously?
Data Deduplication	Is there cross-task deduplication? Is it free?
Technical Support	Does it have Chinese documentation? Is Telegram customer service response timely?

Taking KK-DATA as an example, it covers Telegram (registered/valid/active/gender/tgid), WhatsApp (valid/wsid), iMessage, and RCS. It uses per-number billing with no subscription, supports up to about 1 million numbers per single task, has a built-in cross-task deduplication warehouse, and provides two-way contact via Telegram customer service. You can use the framework above to compare other systems and make the choice best suited to your business.

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Frequently Asked Questions

Q: Can a multi-platform filtering system detect TG and WS simultaneously?
A: Yes. Some systems allow you to import the same batch of numbers in one task and submit both Telegram and WhatsApp filtering tasks simultaneously, outputting results separately. However, note that the detection unit prices differ per platform, and the estimated cost will be displayed before task submission.

Q: What are the common “activity windows” for activity detection? What is the difference between 7-day and 30-day?
A: Common windows include 7 days, 15 days, and 30 days (some systems support custom ranges). 7-day active users have high recent online frequency and strong interaction willingness, suitable for time-sensitive promotions (e.g., limited-time events); 30-day active users have a larger base but may be more “calm,” suitable for brand awareness promotions. If your budget is limited, prioritize 7-day activity.

Q: Are iMessage and RCS filtering mature? Do mainstream platforms currently support them?
A: iMessage and RCS filtering are relatively new features. Most platforms only provide basic registration/empty number detection and do not offer activity or gender identification. Their accuracy and coverage vary greatly depending on carrier and device model. If your target users are concentrated in Europe and America with a large number of iOS users, you can try them; otherwise, it’s recommended to focus on TG and WS detection.

Q: Under the per-number billing model, will unused balance expire?
A: Different platforms have different rules. Taking KK-DATA as an example, recharged balances have no expiration date and are valid until used up. Please refer to the respective platform’s user agreement or consult customer service for specifics.

Q: How can I confirm that the customer service I’m contacting is official, to avoid being scammed?
A: It is recommended to always establish contact through official channels. For example, visit the official website https://kkdata.cc/ to find the customer service entrance, or use the official Telegram bot listed in the documentation at https://t.me/kkdata_robot for two-way communication. Avoid trusting customer service links from unofficial sources.

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We hope this multi-dimensional comparison framework helps you quickly identify the right multi-platform number filtering system for your business. Choosing the right tool not only saves a lot of invalid detection costs but also directly improves customer acquisition conversion efficiency. If you are looking for a solution that supports TG/WS/iMessage/RCS with flexible per-number billing, you can log in to the KK-DATA console to start experiencing it, or contact their two-way Telegram customer service for trial usage consultation.

👉 Log in to the console to start filtering
Two-way contact customer service: https://t.me/kkdata_robot
Documentation: https://docs.kkdata.cc/