The correct way to batch screen active social APPs: Key techniques to avoid false screening and missed screening

Many teams engaged in cross-border operations, outbound calls, private domain growth, and overseas community operations have encountered similar dilemmas:

lHundreds of thousands of numbers were imported in batches, but very few users were actually willing to reply.

lThe number of WhatsApp group messages is huge, but the click rate and conversation rate never increase

lTelegram group size is growing rapidly, but interaction within the group is very thin

lLine and Zalo seem to have a lot of friends, but there are almost no real active users.

lMessage sending volume is rising, but effective reach is declining

The fundamental problem is not that the platform is not good;"Activity" itself is not well screened.

In the operational processes of most enterprises,"Batch import → direct access" has become a habit, but there is no systematic method to filter out invalid numbers, sleeping numbers, inactive numbers, and downtime numbers in advance.

This article will start from the actual operational needs, explain clearly why companies misscreen or miss the screen, and provide a set of tools for global social networkingA truly effective batch screening active method in the APP scenario.

 

2. Why is batch screening more difficult than individual screening?

Most companies think about the problem too simply, thinking that active screening is just judgment."Whether to register" or "whether it is available", but in real practice, the complexity of batch screening is far beyond imagination.

1. Platform differences lead to the inability to unify the screening logic

The active standards for different platforms are completely different, for example:

lWhatsApp relies on number + message reachability

lTelegram emphasizes online trajectories and behavioral traces

lLine provides information and clues to the friend mechanism

lZalo, Viber, and Signal have their own status performances.

If you want to use the same method to screen all platforms, misscreening is inevitable.

2. National differences lead to completely different active behaviors

For example:

lJapan, Taiwan, Thailand, South Korea: Highly dependentLine

lVietnam:Zalo is more active than WhatsApp

lmiddle East:Telegram generally has very high daily activity

lUnited States, Mexico, Canada:WhatsApp has a high registration rate but also a high dormancy rate

If the screening logic is not adjusted according to countries, screening will inevitably be missed or misscreened.

3. Number layer logic is most easily ignored in batch processing

If the number itself is empty, out of service, or has no signal, no matter how accurate the active model is, it will be invalid.

This is also the reason why many teams fail to filter active batches: the basic number status is not filtered at all.

4. User activity changes periodically

Just because a user is active today does not mean he will still be active a month later.

Active detection must have"Dynamic update" capabilities rather than one-time judgments.

Digital Planet has a complete dynamic identification system in this regard to avoid active distortion of batch screening.

3. The most common mistakes that companies make during active batch screening5 pits

The reason why companies fail to filter out active companies is often not a tool problem, but a method problem.

pit1: Treat "registration" as "active"

This is the most common misunderstanding.

register ≠ Communicable

register ≠ active

register ≠ valuable

especiallyThere are a large number of "zombie registration accounts" on WhatsApp and Telegram.

pit2: Only screen a single platform, but users may not use that platform

For example:

you useWhatsApp only screens Vietnamese users, and the false screening rate is extremely high;

you useLine screened users outside of Japan, but also misscreened them.

Only cross-platform detection can truly screen out“Real users of the platform.”

pit3: Ignore number reachability

The user may be registered, but the ability to receive is lost.

This type of number surface"Normal", actually unable to communicate.

Batch screening is the most scary thing when it is activeFake activity that "appears normal but is actually ineffective".

pit4: Ignore account stability

In a batch operation environment, virtual registration numbers, abnormal device numbers, and banned recovery numbers are very common.

Although these accounts may display"Online" is not the user that the company really needs.

pit5: Ignore country activity differences

If the screening model is not adjusted by country, the false positive rate will be extremely high.

Digital Planet’s multi-country differentiation model is designed to solve this type of problem.

4. The correct way to activate batch screening (the most practical five steps)

The following is the fastest way to improve accuracy when enterprise batch screening is active. It is also the most mature and practical workflow in the industry.

Step 1: Number validity check

Purpose: Filter all basic invalid numbers

include:

lEmpty number

lshutdown

lArrears

lNo service

lCan't receive text messages

Validity is the first threshold for all active screening.

Digital Planet's detection system can filter out these basic invalid numbers in advance.

Step 2: Multi-platform registration status detection

The same number may correspond to different platforms in different countries:

Vietnam key screeningZalo

Japanese key screeningLine

Middle East key screeningTelegram

American Talent ScreeningWhatsApp

The registration status not only determines whether the user exists on a certain platform, but also determines whether subsequent activity detection can be performed.

Digital Planet can simultaneously identify the existence status of multiple platforms for the same batch of numbers to avoid missing out.

Step Three: Reachability Detection

This is the most critical link when batch screening is active.

Even if the user is registered, the following may occur:

lMessage cannot be delivered

lAccount is frozen

lHas not been online for a long time

lNo longer using this platform

Batch reachability identification can filter out a large number of fake active accounts, greatly improving the subsequent reach rate.

digital planet inPlatforms such as WhatsApp and Telegram have complete reachability recognition logic.

Step 4: Behavioral activity analysis

Activity is not a simple online tag, but the accumulation of behavioral traces:

For example:

lWill it be online soon?

lWhether to continue using

lIs there a conversation record?

lIs there any active platform operation?

lAre there any traces of device login?

The active behaviors of different platforms are different and need to be handled separately. digital planet for everyoneThe APP establishes a behavioral model to ensure that active judgments are as realistic as possible.

Step 5: Risk filtering (stability judgment)

This is the most easily overlooked part of enterprise batch screening activity.

Risk accounts include:

lvirtual number

lBatch registration number

lAbnormal device registration number

lJust unblocked number

lHigh frequency switching environment number

These numbers are active but unstable, leading to an increased failure rate.

Digital Planet will automatically filter out unstable accounts to ensure that companies acquire truly high-value users.

5. Different platform strategies for active batch screening (adapted by country)

No matter how many platforms are screened, strategies must be segmented by country, otherwise the accuracy will be compromised.

Here are the most common global regional differences:

1. Southeast Asia (Vietnam, Thailand, Indonesia)

Key screening:Zalo, Line, WhatsApp

Zalo has a huge presence in Vietnam.

2. Middle East (Saudi Arabia, UAE, Qatar)

Key screening:Telegram, WhatsApp

Telegram’s daily activity is much higher than WhatsApp.

3. North America (United States, Canada, Mexico)

Key screening:WhatsApp, Messenger

However, the proportion of sleeping numbers is high and accessibility must be filtered.

4. Japan, South Korea

Key screening:Line

Behavior is closely related to data integrity.

Digital Planet's multi-country identification logic has these differences built into it, making filtering results more accurate.

6. How does an enterprise handle"Filter active results" for maximum value?

Screening is not for good looks, but to improve reach efficiency.

Here are the best ways to use it:

1. Prioritize highly active users for marketing

Can generate conversations and conversions instantly.

2. Incorporate low-active users into the automated training pool

For example, long-term push and regular contact.

3. Secondary grouping by country and platform

Reaching by platform is always more effective than reaching by chaos.

4. Filter risk numbers and invalid numbers

Reduce sending costs and account losses.

5. Keep updated

Activity is a dynamic attribute and must be detected periodically.

The one-stop screening capabilities provided by Digital Planet can help enterprises automate these processes.

7. Conclusion: The active core of batch screening is not technology, but structured methods

Why can't companies screen out activity? It’s not that the tools are not good, it’s that the correct method is lacking.

The correct approach is always: number validity → Registration status → Accessibility → Active behavior → Risk filtering → Country distinction → Platform adaptation

Digital Planet uses a multi-platform, multi-country, and multi-dimensional screening system to allow companies to invest every message and marketing budget into real active users, fundamentally improving reach rates, conversion rates, and operational efficiency.


digital planet is a world-leading number screening platform that combinesGlobal mobile phone number segment selection, number generation, deduplication, comparison and other functions . It supports customers worldwide Batch numbers for 236 countries Screening and testing services , currently supports 40+ social and apps like:

whatsapp/line, twitter, facebook, Instagram, LinkedIn, Viber, zalo, binance, signal, skype, DISCORD, Amazon, Microsoft, Truemoney, Snapchat, kakao, Wish, GoogleVoice, Botim, MoMo, TikTok, GCash, Fantuan, Airbnb, Cash, VKontakte, Band, Mint, Paytm, VNPay, Moj, DHL, Okx, MasterCard, ICICBank, Byb wait.

The platform has several features includingOpen filtering, active filtering, interactive filtering, gender filtering, avatar filtering, age filtering, online filtering, precise filtering, duration filtering, power-on filtering, empty number filtering, mobile phone device filtering wait.

Platform providesSelf-screening mode, generation screening mode, fine screening mode and customized mode , to meet the needs of different users.

Its advantage lies in integrating major social networking and applications around the world, providing one-stop, real-time and efficient number screening services to help you achieve global digital development.

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