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Precise Targeting and Compliance: Global Digital Marketing on LinkedIn

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Struggling with cross-border social media marketing? The system generates mobile phone numbers from India, Japan, Mexico, and the United States, and uses account activity to accurately reach potential customers worldwide.

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.

Precise Targeting and Compliance: Global Digital Marketing on LinkedIn

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.

Precise Targeting and Compliance: Global Digital Marketing on LinkedIn

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.

Precise Targeting and Compliance: Global Digital Marketing on LinkedIn

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.The cloud control system combines age, gender, and interaction frequency screening to enable marketing teams to precisely target users and improve social media conversion rates.

The system provides batch generation of mobile phone numbers for Japan, India, Mexico, and the United States, combined with social media account activity analysis, enabling targeted cross-border operations. The cloud control platform supports unified management of accounts across multiple platforms, allowing you to batch filter by age, gender, and activity level, ensuring efficient operations across Telegram, WhatsApp, LinkedIn, and Facebook.Want to quickly find highly active leads on Telegram and WhatsApp? The cloud control system intelligently filters by age, gender, and online time, eliminating wasted marketing efforts.

Managing a massive number of accounts is time-consuming? The cloud control platform supports both self-screening and proxy filtering, allowing you to batch clear out inactive and low-activity accounts, doubling your operational efficiency.Having a low hit rate on social media advertising? The system uses interaction frequency and device status to precisely target high-value users, ensuring every campaign is highly effective.

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