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How big is the difference in TG effectiveness across countries? A comprehensive analysis of regional differences and number segment filtering strategies

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How Big Is the Gap in TG Validity Rates Across Countries? A Complete Guide to Regional Differences and Number Segment Screening Strategies

If you’re running Telegram community management, direct message marketing, or TG follower growth, you’ve definitely faced this question: Why do the same number of phone numbers get a pass rate of less than 20% in some countries but over 80% in others? This is the real-world gap in TG validity rates across countries. The TG validity rate (the ratio of numbers that pass registration checks) directly impacts your customer acquisition cost and reach. Ignoring country differences and casting a wide net blindly can waste your already tight budget on invalid numbers. This article will systematically help you optimize your TG number pool by using country-based number screening, covering regional differences, influencing factors, practical testing, and screening strategies.


What Is the TG Validity Rate? Why Must Cross-Border Marketers Pay Attention to This Metric?

The TG validity rate usually refers to the proportion of numbers that pass Telegram’s registration check (i.e., “TG registered”) out of all tested numbers. For example, if you generate 1,000 Indonesian numbers and after submitting them for TG testing you get 820 valid numbers, the validity rate is 82%. This is the most basic metric. But in more refined scenarios, you also need to pay attention to the activity rate—whether these valid numbers have had any online behavior on Telegram in the last 7, 15, or 30 days.

TG Validity Rate vs. Activity Rate: Which Is More Critical?

  • Registered Valid (TG Registered): The number exists and can receive messages. Ideal for large-scale content broadcasting.
  • Recently Active (TG Active): Has logged into Telegram within a specified time window. Suitable for interactive marketing that requires immediate user response (e.g., verification codes, direct message replies).

For cross-border customer acquisition, we recommend first filtering out useless empty numbers and virtual numbers using “TG registered,” then using “TG active” to screen for truly online users. Combining both can significantly improve message delivery rates and conversion rates.

The Cost of Ignoring Country Screening: A Real Scenario

Suppose you plan to test 100,000 random numbers, of which 30% come from high-TG-penetration countries (validity rate 85%), 50% from medium countries (60%), and 20% from low-penetration countries (25%). Overall validity rate = 30% × 0.85 + 50% × 0.60 + 20% × 0.25 = 0.255 + 0.30 + 0.05 = 0.605, i.e., 60.5%. But if you use completely random global numbers and the proportion of low-efficiency countries is higher, the validity rate could drop below 40%. This means: to get the same number of valid users, you need to test more than 50% extra numbers, consuming more balance and time. Screening by country in advance lets you spend your budget where it counts.


Global TG Validity Rate Comparison by Region (Based on Industry Observations)

The following data is summarized from extensive user feedback on the KK-DATA platform and public market information. It is not fixed. Actual validity rates change over time, with number pools, and operator policies—strongly recommended to use real screening tasks to obtain current data.

RegionTypical CountriesTG Validity Rate Reference RangeNotes
Middle EastSaudi Arabia, UAE, Iran, Turkey70%–90%Very large Telegram user base, high registration rate, high number quality
Southeast AsiaIndonesia, Malaysia, Thailand, Philippines60%–85%Especially Indonesia, where TG is one of the mainstream social apps
EuropeGermany, France, Italy, Netherlands40%–65%High privacy awareness; some users use virtual numbers or are subject to GDPR restrictions
South AsiaIndia, Pakistan, Bangladesh35%–55%WhatsApp dominates, TG penetration is relatively low
East AsiaJapan, South Korea, China15%–40%Local apps (Line, KakaoTalk, WeChat) squeeze TG
Latin America/AfricaBrazil, Argentina, Nigeria50%–75%Depends on the country’s telecom infrastructure and TG adoption

High Validity Rate Regions: Middle East and Parts of Southeast Asia

In the Middle East (e.g., Saudi Arabia, UAE), TG users exceed 50% of the local population. Numbers are mostly real SIM card registrations, with high validity and activity. Southeast Asian countries like Indonesia and Malaysia are also TG strongholds, with high user activity, making them suitable for priority investment.

Medium Validity Rate Regions: Europe and North America

European users are very privacy-sensitive. Many use virtual numbers or temporary SMS for registration. After number testing, they might pass the registration check but have low actual activity. For European numbers, it is recommended to additionally filter by “TG active (30 days)” to ensure you reach recently active users.

Low Validity Rate Risk Regions: Some East Asian/South Asian Countries

In Japan, South Korea, and mainland China, local apps dominate, and TG penetration is very low. Numbers generated from these countries are likely invalid or second-hand numbers. In South Asia, while India has a significant number of TG users, the number sources are complex (high proportion of second-hand and spam numbers), resulting in a high invalidity rate. Be cautious when bidding and combine with activity detection.


Deep Factors Influencing Country-Level TG Validity Rate

Why is there such a large regional difference? Three core factors are at play:

Market Penetration and User Habits

Among Telegram’s global active users, the Middle East, Eastern Europe, and Southeast Asia have the highest shares. Citing public data (e.g., Telegram’s official country distribution), Indonesia, Saudi Arabia, Russia, and the US are among the top markets. In countries with high penetration, numbers are naturally more likely to be registered on TG. Conversely, in low-penetration countries, generated numbers may have never used Telegram, leading to invalidity.

Number Source and Quality Differentiation

  • Randomly Generated Numbers: Based on number segment rules, may include “empty numbers” not activated by operators or real numbers never registered on TG.
  • Old Number Pools/Second-hand Numbers: From previous marketing campaigns or data trades; many have been flagged by the platform or deactivated by users.
  • Self-purchased Numbers: SIM cards bought from operators or legitimate platforms; these typically have the highest validity.

The validity rate of different number sources varies greatly by country. For example, numbers purchased from Indonesian operators usually have a TG validity rate >80%, while randomly generated Japanese numbers may have a validity rate below 20%. Therefore, the composition of the number pool is more important than relying solely on the country.

Operator Policy and SMS Blocking

Some countries’ operators (e.g., India’s Jio, China’s three major carriers) strictly restrict international SMS and verification codes, preventing users from receiving Telegram registration codes normally. This also reduces the valid registration ratio, but such numbers themselves are real SIM cards that just cannot complete TG registration. They will appear as invalid in screening results.


How to Get TG Validity Rate Data by Country with KK-DATA

KK-DATA provides a complete workflow from number generation → screening → result reports, allowing you to quickly obtain TG validity rates for any country.

Practical Steps: Generate Target Country Numbers → Submit TG Validity Check → View Result Report

  1. Log in to the console ([https://app.kkdata.cc/]) and ensure sufficient balance.
  2. Go to the “Number Generation” module, select a target country (e.g., “Saudi Arabia” or “Indonesia”), enter the quantity (e.g., 500), and click generate. Generation is completely free.
  3. After generation, find the batch in the task list, click “Submit Screening”, and select the check type: “TG Registered” (or “TG Valid”/“TG Active”, etc.). The system will display an estimated cost (see real-time prices in the console).
  4. After submission, wait for the task to complete (usually minutes to tens of minutes depending on the number count). Once done, you can view the report: valid count, invalid count, active count (if activity detection was selected), gender distribution, etc.
  5. Export as CSV or TXT for country/region analysis of validity rates.

How to Interpret Country Distribution in the Result Report

The report lists the sample size, valid count, and validity rate for each country/region. You can also filter by specific date range and check type. For example, comparing validity rates of different countries in the same task helps you quickly decide which countries to prioritize.

Prerequisites for Data Accuracy

The source of your sample numbers (random generation/custom import) and the network environment during testing (specific operator/IP region) may have slight impacts on the results. It is recommended to take the average of multiple tasks as a reference. If you need to batch test real customer numbers, directly import the number list and select the TG screening function.


Number Segment Screening Strategies Based on Country Validity Rates

Once you have validity rate data for each country, you can formulate targeted number segment screening strategies.

Strategy 1: Sort by Validity Rate and Prioritize High-Rate Countries

  • High-rate countries (e.g., Saudi Arabia, Indonesia, UAE): Use for core marketing activities, mainly direct messages and community invitations.
  • Medium-rate countries (e.g., India, Turkey, Brazil): Combine with activity detection for secondary filtering to reduce invalid touch points.
  • Low-rate countries (e.g., Japan, South Korea, China): Avoid unless you have a clear audience profile, or use only for testing.

Strategy 2: Mix Number Segments to Lower Overall Cost

Although low-rate countries have low validity, generating numbers is free, and screening is charged per number. You can generate numbers from multiple countries at once (generation is free) and then submit them all for TG validity check. The high-rate countries’ valid numbers will “pull up” the overall validity rate, thus reducing the average cost per valid number. However, if the proportion of low-rate countries is too high, it may waste screening fees. It is recommended to keep the number of low-efficiency countries at no more than 20% of the total sample.

Strategy 3: Combine Active Time Windows to Further Improve Touch Efficiency

For medium-efficiency regions (e.g., Europe, South Asia), it is recommended to add “TG Active 30 Days” or “TG Active 7 Days” on top of “TG Registered”. This way, you get not only valid numbers but also recently active ones. For scenarios requiring immediate feedback (e.g., claiming coupons, participating in events), activity detection is crucial. In the KK-DATA Console, you can freely combine check types when submitting tasks.


Common Misconceptions and Cautions

  1. Do not blindly copy public penetration data: Market penetration refers to “total active users / total population”, which is not linearly related to the registration pass rate of your number pool. Your number source, number segment, and generation method all interfere with the result. The only reliable method is to run your own screening.
  2. Do not ignore number source: Even for Indian numbers, official SIM cards bought from operators and randomly generated segments can differ in validity rate by more than 30%. Prioritize using real number sources (e.g., self-purchased cards, cooperative operator data), then use platform screening.
  3. Pay attention to compliance: Before sending marketing messages to TG users, be sure to comply with local communication regulations (e.g., EU GDPR, US CAN-SPAM). Do not abuse screening results for harassment.
  4. Regularly update screening results: TG number status changes over time—users may deregister, close accounts, or change numbers. It is recommended to re-screen your active number pool monthly to avoid waste.

Note

TG validity rates are not static. There are obvious differences in the same country across different time periods, operators, and number segments. It is recommended to regularly (e.g., monthly) re-screen your active number pool to prevent invalid numbers from consuming marketing resources.


Frequently Asked Questions (FAQ)

Q: Are there public reference data for TG validity rates by country?
A: Public data are mostly market penetration rates (e.g., total active users as a percentage of total population), not precise number validity testing ratios. Actual validity rates must be obtained through real screening tasks. The KK-DATA console supports generating and testing by country/region, and the results can serve as business references.

Q: Why do numbers I generate in some countries have very low pass rates?
A: Possible reasons include: low Telegram registration rate in that country, strict restrictions by operators on international SMS/verification codes, or numbers in that country/region being mostly from virtual operators or second-hand. It is recommended to use TG activity detection for further filtering, or change to a priority region.

Q: Which countries can KK-DATA test TG numbers for?
A: The platform supports random number generation and TG screening for 240+ countries/regions. You can select the target country during generation, and the system automatically identifies the number’s country during screening and returns the test results (including registration/validity/activity/gender, etc.). See the console for the full list of supported countries.

Q: Which countries should cross-border marketers prioritize?
A: Usually, it is recommended to prioritize the Middle East (e.g., Saudi Arabia, UAE), Southeast Asia (e.g., Indonesia, Malaysia, Thailand), and Latin America (e.g., Brazil, Mexico). These regions have large TG user bases, high validity rates, and ideal activity levels. However, the final decision should be based on your own screening data.

Q: Do I need to re-screen numbers every month?
A: Strongly recommended. Number status changes with user behavior, operator policies, and platform ban rules. Especially for activity data, a user who was active a month ago may have stopped using the service. Using KK-DATA’s “Data Deduplication Warehouse” feature can avoid repeatedly testing numbers already confirmed as invalid, saving balance.


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