Correct operation guide for extracting overseas mobile phone number segments in batches in Excel
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Last week, our team just helped a cross-border e-commerce client handle a disaster - they used Excel to organize 30,000 overseas customer mobile phone numbers, and within half an hour of sending promotional text messages in bulk, the entire WhatsApp business account was blocked. What's even worse is that these numbers are mixed with a large number of virtual operator numbers, resulting in the SMS open rate being less than 5%. According to our long-term operating experience, this is a typical operational search requirement.
Why is your marketing account always targeted by risk control?
The platform’s risk control system is more rogue than most people imagine. A 2025 DataReportal report shows that mainstream overseas social media platforms handle more than 200 million spam messages every day. Once it is detected that your account has sent a large number of similar content in a short period of time, the system will automatically mark you as a marketing account.
- Official permission configuration:Find "Message Template" - "Sending Frequency" in the WhatsApp Business backend, and adjust the daily sending limit to less than 500 messages.
- Operating environment safety:Don’t use company WiFi for batch operations, we use it for actual testingResidential Proxy IP ServicesCan reduce account ban rate by 60%
The overseas number you bought may be cheating you
Last year, a client in the Middle East market bought a batch of "highly active" mobile phone numbers cheaply. As a result, we found that 40% of the numbers had not logged into Telegram at all in the past six months. This kind of list not only wastes advertising money, but also lowers the weight of the account.
- The first step is to clean up the list:Use Excel's "data validation" function to eliminate African virtual number segments such as +20 and +30
- The second step is to perform precise screening:More than 5000 numbers must be usedNumber detection and screening service, manual checking will detect a crash.
Survival skills you must master in large-scale mass messaging
The risk control system will monitor two points in real time: the repetition rate of message content and the regularity of sending behavior. One of our customers once had the entire IP segment blacklisted because all messages carried the keyword "50% OFF".
- Scramble content and digital features:Prepare at least 5 sets of speech templates, and change the discount information to "50% off," "half price," and "half off" in rotation.
- Distributed scheduling:useLIKE.TG guest development masterSet a random value for the sending interval (30-120 seconds). A single account can send no more than 300 messages per day.
🛠️A veteran trader’s hard-core trap avoidance record
At the specific cross-border overseas execution level, our team is accustomed to checking all operating nodes once a week. The following are some practical rules that I have compiled that can be used immediately:
- I usually send them intensively at 3-5 am (working hours in the target time zone), which can increase the open rate by 20%
- Our team's actual measurement: the response rate of messages with local city names is 3 times higher than that of common words.
- Do not send links for the first 3 days before the new account. Use the plain text "Hi + customer name" to break the ice first.
❓ Cross-border frontline high-frequency FAQ
- Q1: What should I do if the numbers extracted by Excel are always mixed with invalid numbers?
- A1First use the COUNTRY function to classify by country, and then useNumber detection and screening serviceBatch filter virtual number segments
- Q2: Why is the open rate of my promotional messages getting lower and lower?
- A2To check whether the same set of templates is always used, we conducted A/B testing for cosmetics customers and found that the click-through rate of expression sets with emoji was 47% higher than that of pure text.
🚀 Only the underlying infrastructure is the solution to making money on a large scale
90% of mass messaging tools on the market use public interfaces, and we directly connect with local operators. For example, in Southeast Asia, ourPurchase social media account servicesThe numbers provided all have real call records. This difference in underlying resources is like the difference between using a kitchen knife and a chainsaw to chop down a tree.
📈 Implementation Guide
There are three core points in cross-border traffic diversion: a clean list, a stable environment, and operating like a real person. Don’t waste time manually processing data:
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