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WS ecological four-dimensional activity detection
WS middle-class and high-net-worth user number screening
WS account real-time online screening
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WS account ban screening
WhatsApp account activity detection
WhatsApp account opening detection
WhatsApp account gender and age detection
Mobile
Real-time detection of mobile phone device models
Carrier format filter
High-risk complaint number screening
iOS blue label filtering
Empty number detection
Real-time detection of empty numbers when global numbers are turned on and off
Global Apple Android Device Screening
Global IOS blue label screening
Comprehensive filtering of number types
Line
Line activation screening
Line active filter
Line comprehensive filtering
Telegram
Telegram account activity detection
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TG username filtering
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Zalo
Zalo account gender and age filter
Zalo account opening screening
Binace
Binance account opening screening
Binance mailbox detection is enabled
Facebook
Facebook account opening filter
Facebook account UID filtering
Real-time detection and activation of Facebook mailbox
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Linkedin account opening screening
Amazon account opening screening
SnapChat account opening screening
DHL account opening screening
Moj account opening screening
Paytm account opening screening
Magicbricks account opening screening
Temu account opening screening
Cian account opening screening
Flipkart account opening screening
CoinW account opening screening
KuCoin account opening screening
Web3 Fusion Cellular Filtering
Vantage account opening screening
Signal account opening test
Instagram account opening filter
Twitter account opening filter
Hh account opening screening
Shopee account opening screening
Noon account opening screening
Bukalapak account opening screening
Coupang account opening screening
Economictimes account opening screening
MoniePoint account opening screening
Band account opening screening
KakaoTalk screening registration opened
Microsoft
Micosoft account opening screening
Microsoft Teams account activation screening
Viber
Viber account opening screening
Viber account active screening
Bitom
BOTIM account opening screening
BOTIM account gender and age screening
TikTok
TikTok account opening screening
Full format collection of TikTok blogger fans
RCS
RCS system type filtering
RCS account Android filtering
RCS account opening screening
Mail
Global mailbox real-time detection is effective
RobinHood mailbox real-time detection enabled
CoinW mailbox real-time detection is activated
HTX mailbox real-time detection and activation
Real-time detection and activation of KuCoin mailbox
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15
2026-07
4 ideas for identifying high-end customer groups to quickly target users with high consumption potential
If you want to identify high-end customer groups more efficiently and quickly build a high-quality user database, you can use Digital Planet. Digital Planet supports multiple functions such as number screening, device identification, user tag management, and active user analysis, helping the operation team to quickly find people with greater consumption potential from massive data, making customer acquisition, marketing, and customer operations more accurate, and allowing every data analysis to truly transform into a driving force for business growth.
13
2026-07
LinkedIn high net worth user detection: accurately find valuable business groups
The number of users on LinkedIn is huge, but the more users that can truly bring business value, the better. Many companies often encounter a problem when developing overseas customers: they have a large amount of LinkedIn user data, but they don’t know which people are worth following up on. The mixing of ordinary users, low-active accounts and business people with real decision-making ability not only increases screening costs, but also reduces customer development efficiency.
23
2026-06
Smart Cash App account verification tool guide to accurately identify real active user accounts
If you are building your own user pool, you might as well start with data verification. Many problems will often be solved in advance.
17
2026-06
Analysis of online consumer user detection methods, targeting high-value consumer groups in 5 major dimensions
Traffic is getting more and more expensive, which has become a common feeling among many e-commerce teams, brands and private domain operators. In the past few years, we could rely on large-scale advertising to continuously acquire new users. Now, with the same budget, the number of new users we can bring is increasingly limited. Instead of continuing to blindly expand, many teams began to focus on another thing: finding people who are truly willing to consume.
16
2026-06
Construction of high-value user screening model, identifying high-quality customers in 5 major dimensions
The selection of high-value users is changing from "empirical judgment" to "model calculation". More and more teams no longer rely solely on sales feeling or operational intuition, but try to use unified standards to define what kind of users are worthy of focusing resources. Especially as traffic costs continue to rise, the cost of spending budget on low-value users is getting higher and higher.
22
2026-04
Instagram female mature users are becoming more expensive, why this kind of data is becoming more and more popular
In Instagram user screening, a recent obvious change among female mature users is that the cost of acquisition is rising. Not only is the cost of launching higher, but the data itself is also becoming more and more difficult to obtain. When many teams are doing accurate customer acquisition on Instagram, they will obviously feel that such users are becoming more and more "expensive". What’s expensive here is not only the price, but also the difficulty of acquisition, screening and stability costs.
21
2026-04
The marketing needs of users over 25 years old and those over 35 years old are different, so the screening stage should be separated.
In terms of user stratification, users over 25 years old and users over 35 years old were often put into the same category of mature users, but now this approach is becoming more and more problematic. Although these two age groups do not belong to young general traffic, the differences in consumption habits, information judgment, and exposure rhythm are actually very obvious. If the screening stage is not separated in advance, many subsequent marketing actions will often lead to situations where the crowd seems to be accurate, but the conversion is not stable.
16
2026-04
When GOK single brands do IG promotions, they are less and less directly eating the traffic, and more of them are screening images first.
In the Instagram delivery system, Gawker’s single-brand strategy is undergoing significant changes. Compared with the past, which relied on interest tags to directly cover the market traffic, now more emphasis is placed on completing user portrait screening before launching. The core logic is simple: high-customer single products have higher requirements for crowd matching. Once the crowd deviates, no matter how large the traffic is, it will be difficult to form effective conversions.
05
2025-11
Practical tips for WhatsApp number dimension detection: How to accurately identify high-value active users?
In overseas private domain operations, WhatsApp number dimension detection has become a key step in judging user value. Many companies will ask a core question before batch launch and precise reach: How to accurately identify high-value active users? This article will explain in detail the WhatsApp number dimension detection method in terms of dimension definition, practical skills, screening strategies, etc., and introduce how to improve identification efficiency with the help of Digital Planet’s system tools.
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