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How can I use LinkedIn data analysis to understand job market trends?

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Through its three core capabilities—content recognition, behavior analysis, and intelligence sharing—it has built a 24/7 uninterrupted intelligent firewall, truly nipping community risks such as advertising and black market activities in the bud.

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.

How can I use LinkedIn data analysis to understand job market trends?

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.

How can I use LinkedIn data analysis to understand job market trends?

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.

How can I use LinkedIn data analysis to understand job market trends?

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 supports batch management of Telegram, WhatsApp, LinkedIn, and Facebook accounts, and integrates interaction filtering to precisely target high-value users.

Using profile and nickname filtering, you can quickly identify potential customer groups, achieving targeted and high-ROI social media marketing.The system can filter accounts by user status and online time, providing real-time insights into the dynamics of highly active users, making advertising and social media operations more efficient.

The cloud control system supports self-screening, proxy screening, and customized modes, enabling batch screening of massive accounts and improving the efficiency of operations teams.The system combines multi-dimensional filtering based on age, gender, activity level, and interaction frequency to precisely target potential customers and enhance the effectiveness of social media marketing.

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