Practical Guide to Generating African Numbers: Choosing Mobile Prefixes and Expected Screening Efficiency

Africa is a hot region for overseas marketing, with mobile user numbers continuing to grow in Nigeria, South Africa, Kenya, Ghana, and other countries. Telegram and WhatsApp have become core channels for brands to reach users. However, many teams stumble at the step of “generating African numbers”—either blindly generating massive amounts of numbers, resulting in extremely low screening efficiency, or not knowing how to choose prefixes, wasting their balance.

This article starts from the characteristics of the African mobile market, combined with practical experience, to help you formulate a scientific number generation strategy and provide expected efficiency for Telegram and WhatsApp screening. Whether you are doing TG follower growth, WhatsApp bulk messaging, or user profiling tests, you will find actionable decision-making references.

Business Scenarios and Decision Points for African Number Generation

Typical Scenarios: TG Follower Growth / WhatsApp Bulk Messaging / User Profiling Tests

• Telegram Follower Growth: Batch generate African prefix numbers → Screen for valid Telegram accounts → Filter by activity level → Import into groups or send direct messages. The goal is to find users who are actually chatting.
• WhatsApp Bulk Messaging: Generate numbers → Screen for valid WhatsApp accounts → Segment by gender or activity level → Marketing outreach. Since WhatsApp has extremely high penetration in Africa, the proportion of valid numbers is usually higher than Telegram, but there are also many inactive users.
• User Profiling Tests: Generate numbers with specific country or operator prefixes → Small batch screening to get gender distribution → Validate market direction. For example, test the proportion of female users in Nigeria’s MTN prefix to adjust messaging.

Decision Point: Prefix Accuracy vs. Generation Volume

Many beginners tend to generate hundreds of thousands or millions of numbers at once, thinking “more quantity will catch fish.” But in Africa, mobile prefixes are scattered, there are many operators, and the proportion of abandoned numbers is high. Blindly generating large quantities leads to skyrocketing screening costs and low efficiency. The core decision point should be: First confirm the accuracy of the prefixes, then decide on the generation volume.

Best Practice: First use the platform’s built-in prefix library or import verified prefixes via CSV, generate 10,000 to 50,000 numbers for a trial screening, evaluate prefix quality based on activation and activity rates, and then decide whether to scale up.

Overview of the African Mobile Market: Why Prefix Selection and Screening Efficiency Are Closely Related

Mobile penetration in Africa is rising rapidly, but there are significant differences between countries:

• Nigeria: About 220 million mobile phone users, with operators mainly MTN, Glo, Airtel, and 9mobile. Prefix allocation is complex (e.g., MTN uses 0803, 0806, 0703, etc.). The proportion of inactive numbers is relatively high (about 30%–50%), but young people are more active.
• South Africa: Vodacom and MTN dominate, prefixes are more standardized, but SIM cards are numerous—a user may hold 2–3 numbers, and activity varies by usage.
• Kenya: Safaricom monopolizes about 70% of the market, prefixes are concentrated (starting with 07xx), mobile payment adoption is high, and numbers are actively used.
• Ghana, Tanzania, Ethiopia: Each has 2–5 operators, prefixes are scattered, and some operator prefixes have a small share in the network, making it easy to generate many dead numbers.

Impact of Prefix Data Quality on Screening Cost and Speed

If you use outdated prefix libraries or purely random generation, the Telegram activation check rate can be as low as 5%–15%, meaning you spend $100 on screening but only get 50–150 valuable numbers. With correct prefix selection (e.g., Nigeria MTN’s 0803 prefix), the activation rate can increase to 30%–50%, significantly reducing the cost per valid number.

Practical Guide to Generating African Numbers (Using KK-DATA Platform as Example)

The following steps are based on the KK-DATA console (https://app.kkdata.cc/), but similar steps apply to other platforms.

Step 1: Choose Country and Prefix

In the “Global Number Generation” module, select your target country (supports 240+ countries, covering all African countries). The system will show a list of major operator prefixes for that country. For example:

• Nigeria: MTN 0803, 0806; Glo 0805, 0705; Airtel 0802, 0708, etc.
• South Africa: Vodacom 072, 082; MTN 073, 083

You can select multiple prefixes, or use CSV import for custom prefixes (format: country code + prefix, e.g., 234803).

Step 2: Set Generation Quantity and Export Format

Enter the number of numbers to generate (recommend starting with 10,000 for testing), and choose export format (CSV or TXT). Generation is completely free, with no additional cost.

Step 3: Connect to Screening Task

After generation, the numbers can be directly imported into a screening task. On the screening interface, choose the detection type:

• Telegram: Activation check, validity check (whether messages can be received), activity level (7/15/30 days), gender identification (based on avatar), tgid export
• WhatsApp: Valid number detection, wsid export
• Other types: iMessage / RCS / dead number detection, etc.

Billing Note

Screening is charged per number. The specific unit price is subject to the real-time price on the console. The estimated cost will be shown before submitting a task; insufficient balance will prevent submission. Recharge via USDT (TRC20), minimum approximately 50 USDT.

Expected Screening Efficiency: Real Data on Telegram/WhatsApp/Activity

Based on industry experience and platform user feedback, the following are common efficiency ranges for major African country prefixes (not precise data, for decision reference only):

Detection Type	Nigeria (MTN 0803)	South Africa (Vodacom 072)	Kenya (Safaricom 07xx)
Telegram Activation	25%–40%	30%–45%	35%–50%
WhatsApp Valid	60%–75%	65%–80%	70%–85%
Telegram Active (7 days)	10%–20%	12%–22%	15%–25%
Telegram Active (30 days)	18%–30%	20%–35%	25%–40%

Interpretation:

• WhatsApp has high validity because Africans use WhatsApp daily, making it suitable for bulk messaging scenarios.
• Telegram activity rates are influenced by regional culture: Nigerian users are relatively more active, but there are still many “zombie accounts” (registered but never logged in again) among valid numbers.
• If the goal is direct message conversion, it is recommended to use “Telegram valid + 30-day active” as the criterion, which can significantly reduce the risk of being reported/banned.

Optimization Suggestions:

• First do a WhatsApp validity check (low cost, higher efficiency), then do a secondary screening of numbers that also have Telegram.
• Activity window selection: For bulk messaging, choose 30-day active to avoid disturbing silent users; for direct messages or group invites, choose 7-day active for higher conversion.

Frequently Asked Questions

Q: Why is my Telegram activation rate lower than 10% after generating African numbers?
A: It is likely a prefix selection issue. Make sure you are using the major operator prefixes of the target country (e.g., in Nigeria, don’t use old recycled prefixes), or import verified prefixes via CSV. It is recommended to retry by selecting active prefixes from the “Prefix Library” on KK-DATA.

Q: Generation is free, screening costs. So can I generate unlimited numbers first?
A: Yes, generation is free and unlimited. However, randomly generating a large number of useless numbers will waste your subsequent screening balance. It is recommended to first generate 10,000–20,000 numbers for a small batch test, check the activation rate, and then scale up.

Q: After screening African numbers, can I export WhatsApp IDs or Telegram IDs?
A: Yes. KK-DATA supports exporting wsid (WhatsApp ID) and tgid (Telegram ID), making it easy to connect with direct message tools or API sending.

Q: I only need active Telegram numbers for Nigerian males. What is the most cost-effective way?
A: Recommended process: Generate Nigeria MTN prefix numbers (about 10,000) → First perform Telegram activation check → Perform gender identification on activated numbers (avatar recognition) → Finally do a 7-day activity check on male numbers. Step by step, you can stop at any time based on intermediate results, avoiding a one-time deduction.

Q: How often is KK-DATA’s African prefix library updated?
A: The prefix library is continuously updated based on public operator data, but actual prefix changes should be confirmed by the console. If you notice a drop in accuracy, you can contact customer service at @kkdata_cc for feedback.

---

Want to try generating African numbers now?

• Log in to the KK-DATA Console to start generating for free
• Read the full Documentation to learn about more screening types
• If you have questions, contact customer service on Telegram @kkdata_cc