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Want to Improve Data Accuracy? Use AI to Filter Profile Photos and Filter Invalid Accounts2025-11-02 07:30:49【comprehensive】4 人已阅读
简介Having low conversion rates from social media campaigns? The cloud-based control platform uses multi-dimensional filtering based on profile pictures, nicknames, age, and gender to precisely target potential users and enhance marketing effectiveness.
Having low conversion rates from social media campaigns? The cloud-based control platform uses multi-dimensional filtering based on profile pictures, nicknames, age, and gender to precisely target potential users and enhance marketing effectiveness.
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.

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.

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.

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.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.
Achieving a 90% risk reduction is not an exaggeration, but an inevitable result of the empowerment of intelligent technology.Embracing intelligent management is not only a choice to improve efficiency, but also an inevitable strategy to ensure the long-term stability of the community.
In the fierce competition of Telegram community operations, the real value lies not in the simple accumulation of the number of members, but in the ability to accurately identify and activate those high-quality active users.Many administrators struggle with the "zombieification" of groups—a seemingly large number of members, yet only a handful are actively interacting. The key to overcoming this predicament lies in a deep understanding and effective use of Telegram screening functions.
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Want to Improve Data Accuracy? Use AI to Filter Profile Photos and Filter Invalid Accounts名片
职业:MasterCard Number Filtering in the Retail Industry 程序员、TG Activity Screening 设计师
工作室:Cash Screening Data Analysis and Optimization 团队
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