Detect gender by phone number: How to accurately filter gender data with Digital Planet-Wish collector

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Detect gender by phone number: How to accurately filter gender data with Digital Planet

时间：2025-11-03 23:34:18 来源：Wish collector 作者：encyclopedia

Want to reduce the impact of low-activity accounts? The system automatically removes inactive and abnormal accounts, and combined with a detailed screening mode, ensures clean promotion data and efficient operations.

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.

Detect gender by phone number: How to accurately filter gender data with Digital Planet

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.

Detect gender by phone number: How to accurately filter gender data with Digital Planet

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.

Detect gender by phone number: How to accurately filter gender data with Digital Planet

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.Is filtering through a large number of accounts complex? The system combines age, gender, activity level, and online time to precisely target users across multiple dimensions, improving social media operation efficiency.

Want more targeted advertising? The system uses both boot-up and online screening to identify patterns among high-activity potential users in real time and optimize promotion strategies.Is social media promotion conversions poor? The cloud control platform filters high-activity potential users by profile picture, nickname, age, and gender, enabling targeted marketing.

Is promoting across international social platforms difficult? The system generates mobile phone numbers from India, Japan, Mexico, and the United States, and combines them with account activity to precisely reach potential customers.Want to reduce interference from low-activity accounts? The system automatically removes unused and unusual accounts, and uses a fine-grained filtering mode to ensure clean promotional data and efficient operations.

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