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Characteristics and screening techniques for Indian phone numbers

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Through intelligent filtering based on unused numbers, active status, and online time, you can easily eliminate invalid accounts, ensuring cleaner marketing data and helping operations teams accurately target potential customers. The system offers self-screening, proxy screening, and detailed filtering modes, allowing flexible filtering by profile picture, nickname, mobile number, and area code to meet the marketing needs of different business scenarios.

In traditional WhatsApp marketing, companies often fall into the dilemma of "casting a wide net but finding few fish" - blindly pushing messages to a large number of numbers, with over 50% of them being unavailable or silent, resulting in serious waste of marketing costs and making precise reach a mere empty talk.In cross-border marketing, businesses often face the dilemma of "high investment, low return"—spending a large budget on WhatsApp push notifications, but due to a large number of invalid numbers mixed in with the customer list, the message reach rate is low, the conversion effect is poor, and the marketing resources are seriously wasted.

Characteristics and screening techniques for Indian phone numbers

WhatsApp account filtering is key to solving this problem: by filtering WhatsApp accounts, businesses can accurately filter out invalid accounts such as inactive numbers, dead numbers, and accounts that are not targeted at them, allowing marketing resources to be focused on high-value customers.Leveraging the professional tool ITG Global Filtering, invalid numbers can be identified and filtered more efficiently, reducing cross-border marketing costs from the source.In cross-border marketing, WhatsApp push notifications require investment in SMS channel fees and manual operation costs. If pushes are sent to invalid numbers or unregistered accounts, these investments will be completely wasted.

Characteristics and screening techniques for Indian phone numbers

A cross-border e-commerce company pushed new product information to 100,000 unfiltered accounts. Subsequent screening using WhatsApp accounts revealed that 42,000 of these were invalid numbers and 23,000 were unregistered WhatsApp accounts. This resulted in a waste of over 65% of the push cost and no conversions.By filtering WhatsApp accounts, we identify and exclude "empty numbers, unregistered WhatsApp accounts, and virtual numbers," ensuring that every penny of our push notification budget is used on valid accounts.

Characteristics and screening techniques for Indian phone numbers

While eliminating invalid numbers, we also used WhatsApp account filtering to identify high-value customers who are "highly active and have high demand," allowing us to focus our operational efforts on customers with conversion potential.

By segmenting customers through WhatsApp account filtering, scarce marketing resources (such as offers and exclusive services) can be precisely targeted to high-value customers, avoiding the waste of resources on invalid accounts.Both boot-up and online screening provide real-time insights into the activity patterns of potential customers, providing accurate data support for advertising and social media operations.

The cloud control platform supports batch generation of mobile phone numbers for India, Japan, Mexico, and the United States, combining account activity analysis to achieve targeted marketing in cross-border markets.The system filters by profile picture and nickname, quickly targeting target customers, transforming social media operations from blind outreach to efficient and precise conversions.

The flexible combination of self-screening, proxy-screening, and detailed screening modes meets the account screening needs of different business scenarios and improves team operational efficiency.The multi-platform account batch export function supports unified management of Telegram, WhatsApp, LinkedIn, and Facebook, enabling rapid implementation of marketing tasks. The system screens potential customers based on multiple dimensions, including age, gender, frequency of interaction, and online time, ensuring accurate social media promotions and high conversion rates.

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