Innovation and future development of Botim number screening technology

Interaction frequency and online time filtering help operations teams target high-value users, increasing social media engagement and advertising conversion rates. The cloud control system combines self-screening, proxy screening, and detailed screening modes to enable efficient batch management of accounts across multiple platforms, improving team operational efficiency.

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.In traditional customer acquisition, businesses only use basic verification to determine whether a number is an "inactive or dead number," but they cannot obtain basic attribute data of potential customers.

Before using the Telegram number screening platform, a cross-border e-commerce company pushed 3C product information to 100,000 "valid numbers". However, due to the lack of understanding of customer age segmentation, it pushed digital products targeting younger customers, resulting in a conversion rate of only 0.7%, far lower than the industry average of 2.5%.ITG's comprehensive filtering platform, as an excellent Telegram number filtering platform, is not simply a "number filtering tool." Instead, it helps businesses gain a comprehensive understanding of potential customers through three core capabilities: "basic data extraction, behavioral data analysis, and trend data prediction."

A good Telegram contact filtering platform can not only analyze existing data, but also help businesses anticipate the behavior of potential customers through trend prediction.A good Telegram number filtering platform is far more than just a "number filtering tool"; it's a "data hub" for businesses to gain insights into potential customers—it can clearly identify "who the customers are" through basic data extraction.