Amazon Digital Marketing: How to Use Number Filtering to Improve Advertising Effectiveness?

Only by organically combining tools, methods, and execution can we truly achieve precision marketing and say goodbye to wasted effort.

WhatsApp numbers obtained through third-party procurement, social media customer acquisition, trade show collection, etc., often contain a large number of invalid resources - empty numbers, suspended numbers, canceled accounts, or even virtual numbers specifically used for bulk registration (such as Google Voice numbers in the United States and temporary mobile phone numbers in India).According to industry data from 2025, the average inefficiency of WhatsApp numbers worldwide reached 52%, and even exceeded 60% in some emerging markets (such as Southeast Asia).

If marketing content is sent directly without prior screening through the WhatsApp screening platform, it will not only waste SMS fees, API call fees, and manual operation costs, but will also trigger WhatsApp's risk control rules due to "frequently sending messages to invalid numbers," resulting in the marketing account having its sending function restricted and affecting the overall promotion plan.In 2025, WhatsApp marketing for businesses will largely target global markets, but significant differences exist in number rules and user habits across different regions: US numbers begin with "+1," and users are more concerned with "privacy and instant response."The core of precision marketing in 2025 is "sending the right content to the right people," but traditional screening methods can only determine "whether the number is registered on WhatsApp," and cannot obtain user tags such as age, gender, interests, and active time periods.

For example, when promoting maternity and baby products in the European market, if you cannot filter out users who are "women aged 25-35 + highly active + interested in maternity and baby topics", you can only target them indiscriminately, resulting in poor conversion rates.By accurately targeting specific demographics through WhatsApp's screening platform, conversion rates can be increased by 8-10 times, which is also the key to enabling leading companies to achieve "low cost and high conversion" in 2025.

As a professional WhatsApp screening platform, ITG's comprehensive screening solution has become a powerful tool for precision marketing in 2025 because it focuses on four key dimensions: accurate identification, global adaptation, tag empowerment, and efficient implementation. This comprehensive solution perfectly addresses the aforementioned pain points.

ITG's global screening breaks through the limitations of traditional methods that only verify registration status. It can perform multi-dimensional status assessments on global phone numbers, increasing the accuracy of the WhatsApp screening platform to 98%.Quickly distinguish between invalid phone numbers, suspended phone numbers, and legitimate registered accounts, directly eliminating 100% of invalid resources and reducing cost waste by more than 50%.

Identify "risky accounts" that have been banned by WhatsApp, have received numerous reports, or have abnormal device activity, to prevent your marketing accounts from being implicated due to association with these risky accounts.It can accurately identify virtual numbers such as Google Voice and TextNow, as well as temporary registration numbers from India and Southeast Asia. The user activity rate of these numbers is less than 5%, and filtering them can significantly improve the quality of ad delivery.

ITG Global Screening, a global WhatsApp screening platform, has customized exclusive screening rules for key markets that businesses are focusing on developing by 2025, including the United States, India, Southeast Asia, and Europe.Based on the rules of different countries, the system automatically completes the country code and verifies the number length (e.g., 10 digits + country code for the United States, 10 digits + country code for India) to avoid omissions in the filtering process due to formatting errors.