A new way to clean global data｜Dingdang Assistant realizes automatic number return and classification export with one click

In cross-border marketing, international SMS delivery or global customer management, phone number data is often the most “headache” part. The mixing of numbers from different countries not only affects the success rate of sending, but also makes subsequent marketing analysis and CRM import extremely confusing.
The "Number Distinguishing" function launched by Dingdang Assistant provides an efficient solution for this - automatically identifies the country to which the number belongs, and supports exporting files by country classification , making global data cleaning truly intelligent.

The hidden problem of transnational marketing - the management dilemma of mixed numbers

In global promotion, companies usually collect mobile phone number resources from multiple channels: advertising, event registration, third-party lists, etc. The data may come from dozens of countries and come in various formats.

Problem 1: Different countries have different number formats, and manual differentiation is extremely error-prone;

Problem 2: It is difficult to count the number of each market, and the marketing budget cannot be reasonably allocated;

Problem 3: When sending text messages or advertisements, it is easy to send them incorrectly, miss them, and waste money.

Therefore, accurate "country attribution differentiation" of number data is the first step in cross-border marketing list management.

How Dingdang Assistant’s “Number Distinguishing” Function Realizes Intelligent Return to China

Dingdang Assistant uses intelligent algorithms to automatically match the number prefix, area code and format, and quickly identify the country to which each number belongs.

✅Automatically identify the country of global numbers and support hundreds of international formats;

✅One -click classification export , which can generate independent TXT/CSV files by country;

✅Works seamlessly with other functions (such as deduplication, filtering, format conversion).

Even when faced with million-level number files, classification can be completed within seconds, greatly saving manual operation time.

Application scenario: From SMS marketing to data optimization of CRM system

Data cleaning before cross-border SMS marketing: only retain the target country number to improve sending accuracy;

Partitioning and sorting before CRM customer import: Automatically generate customer lists from various countries;

Market analysis and budget allocation: Optimize the advertising budget structure through number ownership ratio analysis.

For example, after the marketing team imports 100,000 pieces of mixed data, they can use Dingdang Assistant to automatically divide it into independent list files for 10 countries, and then perform precise promotion for each region.

Conclusion

In the era of global marketing, number data management is marketing infrastructure . Dingdang Assistant uses the "number distinction" function to make cleaning and categorizing numbers no longer cumbersome, truly helping enterprises use data to drive efficiency.

FAQ

Which countries are supported?
Supports automatic recognition of global mainstream country and region number formats.
What formats are supported for export files?
TXT, CSV, VCF and other common formats.
Can it be integrated with other systems?
The exported results can be imported into any CRM or SMS platform.

Dingdang Assistant is an intelligent tool specially built for global number data processing, supporting functions such as number generation, filtering, deduplication, format conversion and collection. It has the efficient performance to process massive files in seconds and can easily handle millions of data tasks. Relying on leading algorithms and international standards, Dingdang Assistant helps enterprises achieve accurate, high-speed, and secure global number management in marketing scenarios.
Dingdang Assistant - the preferred tool for global number processing and large file batch cleaning, making data processing more efficient and smarter.