Tag filtering optimizes the mass sending list, WhatsApp hit rate has significantly increased

existIn the daily operation of WhatsApp mass posting, many people fall into the misunderstanding of "the more you invest, the more you will be effective", and tens of thousands of messages were sent, without opening rates, no conversions, and even an account ban warning was released. In fact, what really affects mass transmission efficiency is not the number of sends, butIs the target population accurate?. Before mass sending, you can optimize the list by filtering the tags to send the message to the right person and improve the hit rate and conversion rate. This article will introduce how to use the Digital Planet Number Screening Detection Platform, throughTags such as "activity, age, gender, activation status" and other labels are refined to filter WhatsApp mass posting lists to build a safer and more efficient marketing path.

 

The results of mass ejaculation are not ideal, and the problem is often in the population structure

Common manifestations of WhatsApp mass failure include:

lLow message opening rate and few link clicks

lNo user response after mass sending, zero feedback

lPlatform prompts abnormalities, account temporarily freezes or bans

lThe input-output ratio is imbalanced, and the transmission cost continues to rise

The root of these problems is often not the bad copywriting or the improper frequency, butUser tags are not clear, resulting in a large number of messages reaching"Low Potential" users even "unavailable" numbers.

If you have unregistered users, free accounts, and low active accounts on the list, then no matter how exciting the content is, it will be of no effect.

 

The core value of label filtering lies in"Crowd stratification"

Digital Planet Number Filtering Detection Platform supports pairs from multiple dimensionsWhatsApp users use tags, these tags can help you manage users in a layered manner. The platform supports the following tag filtering functions:

lActivation status: Identify whether the number has been registeredWhatsApp Account

lActivity tags: Highly active/ Medium active / Low active

lGender tags:male/ Female / Not identified

lAge group tags:18-24, 25-34, 35-44, 45+, etc.

lRegional information: National number segment identification, suitable for international delivery

Through the tag, you canSifting out truly valuable groups from the “messy pile of numbers”. For example:

lOnly retain"Activated + High Active" user

lScreen out"Women + 25-35 years old + active" group to promote promotion

lExclude"Not activated + deactivate + virtual account" group to avoid platform punishment

 

The selected mass post list is more accurate, and the conversion is naturally higher

Tag filtering can bring the following effects:

lIncreased delivery rate: Remove invalid and unrecognized numbers, and the message actually reaches the person

lIncreased click-through rate: The group is more accurate, and the content matches the needs more

lReduced risk of banning:reduceWhatsApp believes in "Exception Send" behavior

lOptimization of delivery cost: Mass resources are concentrated on high-value users

For example, you were going to send a group100,000 items were found after screening:

lhave20,000 unregistered users

lhave10,000 are empty or have a format error

lremainOf the 70,000 items, only 25,000 are truly active.

You just need to25,000 messages are sent, which not only saves costs, but also ensures hit rate.

 

Operation process: From tag identification to mass execution

The steps for using the Digital Planet Platform for label filtering are as follows:

Import number data

lUpload number table, support global number segments, and multiple file formats

lSystem automatic cleaning format error, duplicate, invalid number

Check the required tags

lActivation status: RegisterWhatsApp

lActivity: Near30-day behavioral analysis results

lGender and age: Marking the database behavior model and user behavior

lOverlay settings:"Female +25-35+High Active+Activated"

Perform filtering and detection tasks

lThe system runs the filtering task and completes large-scale processing in a few minutes

lAutomatically attach corresponding tags to each number

Export different tag group packages

lDepending on the tag combination, export different groups, such as:"Male + over 35 years old + medium active", "Female + activated + low active", etc.

Import the mass send system to send by packet

lImport each grouping listWhatsApp mass sending system, formulate different copywriting strategies to improve content adaptability

 

Real use scene effect display

Case1: New products on e-commerce platforms are launched

E-commerce brand selection"25-34 years old + women + high active" users promote new products, with a mass click rate of up to 7.5%, and a conversion rate increased to 3.1%, far higher than the average level.

Case2: Financial services deployment

A certain financial managementThe app only invites products to users "over 35 years old + men + activated", and its user interests are significantly more concentrated, and the registration cost is reduced by 41%.

Case3: Promotion of activities in educational institutions

Education platform mass publishingThe registration rate for summer discount course invitations for users of "18-24 years old + high active" has increased by 2.3 times compared with the unfiltered list.

 

The more accurate the combination tag, the more ideal the mass sending results are.

WhatsApp mass posting is not a one-size-fits-all operation, and different user groups need different content strategies. Through the Digital Planet’s tag filtering system, you can:

lSet multiple dimensions to combine filtering

lExport different groups of people according to demand

lImplement layered mass sending, and higher content matching

No more bet on probability,Data-driven mass sending success.

 

Mass sending is not a one-time operation, but a process of continuous optimization. Every screening is actually laying the foundation for the next conversion.

With the help of the Digital Planet Number Screening and Detection Platform, you can extract high-value user groups from complex data, build an accurate list through label filtering, and let yourWhatsApp mass sending is more stable, more accurate and more efficient.

Every message sent should be responded to. Starting with sieve, you can see a significant change.


Digital PlanetIt is a world-leading number screening platform that combinesGlobal mobile phone number segment selection, number generation, deduplication, comparison and other functions. It supports global customersBulk numbers from 236 countriesFiltering and testing services, currently supportedMore than 40 social and apps, such as:

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, Bybwait.

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

Platform providesSelf-sieve mode, sieve mode, fine-sieve mode and custom mode, to meet the needs of different users.

Its advantage lies in the integration of major social 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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