Batch detection of Zalo empty numbers and activity to create an efficient mass pool

existIn the Zalo ecosystem, the ultimate success or failure of marketing mass delivery often depends on a basic issue:Is your target user really"Online"?

After investing a lot of manpower and material resources to build a private domain system, many companies found that there was no response to mass messages, the opening rate was extremely low, and the conversion was difficult to promote. The root of the problem is often not the lack of speech or service, but the mass sender itselfAn empty account, zombie account or account that has not been active for a long time.

This article will revolve around"How to screen out Zalo active users through batch detection", build a step by stepEfficient mass pool,letZalo marketing really runs.

 

The biggest trap of Zalo mass-sending failure: more invalid numbers than you think

In daily projects, we found that there are three types of high-frequency problems in the initial delivery list:

1.Empty number: The mobile phone number has been cancelled and has never been registeredZalo;

2.Cold number: Although registeredZalo, but has not logged in for more than half a year;

3.Zombie number: There is basic information, but there is no avatar, no interactive record, and no friend relationship.

The common points of these three types of accounts are:No interactive value, but it occupies the sending resources and budget. EspeciallyZalo has certain restrictions on frequent mass sending behavior. The more objects sent, the easier it is for the system to determine it as an advertising behavior, which directly affects account security.

 

Step 1: Batch detection of empty numbers and cut off invalid data

The empty number detection is the first threshold for cleaning data. Through the Digital Planet Platform, we can import in batchesThe system will determine whether the Zalo account has been registered one by one.

It was found during actual testing,Among many mobile phone numbers with unknown sources, the proportion of empty numbers can be reached.60%~70%. Especially for some second-hand data packets or unverified data sources, the proportion of empty numbers is extremely high.

Only after filtering out the empty numbers can you ensure that the mass message is"Send to people" instead of "send to air".

 

Step 2: Detect account activity and exclude cold accounts and zombie accounts

Even registeredZalo account may have not been logged in for many years. To determine whether an account is worth marketing, the key is to look at its "activity":

lIs it close or notLog in to Zalo within 30 days?

lDo you set avatar and nickname?

lAre there any friend interactions or group behaviors?

lHave you published status or changed information recently?

By detecting the above dimensions, we can further eliminate sleeping users and only retainActive, real, and personalized account.

In the platform's activity filtering function, we recommend settingThree time windows: 30 days, 15 days and 7 days, layered screening is carried out according to the marketing urgency.

 

Step 3: Mark basic portrait labels and refine the construction of mass pools

After filtering empty and cold numbers, although the remaining accounts are real, they still need toFurther refinement of the portrait:

lGender tag (male/Female/Unset)

lAge group estimation (can be judged based on username, nickname, and behavioral data)

lIs there avatar (the avatar user is more active)

lIs there a personal signature set?/Nick name

lWhether it is located in a specific area (such as Ho Chi Minh, Da Nang, Hanoi)

Although this information is not 100% accurate, it can be used for batch labelingGrouping of delivery strategies,Accurate operations such as A/B testing, differentiated content distribution, etc..

The final mass pool is no longer"A lot of mobile phone numbers" are a clear structure, clear behavior, and recognizable labels.Operating group.

 

Step 4: Establish a delivery strategy in a hierarchical manner to achieve high conversion distribution

After the mass pool is built, it does not mean that the work is over. The next step is to layer-based management of this batch of data according to activity, labels, and behavioral intentions, and formulate different delivery frequency and content strategies respectively.

For example:

lHighly active users: It can push promotions, private domain group entry, and red envelope content;

lActive users: Focus on educational content and gradually guide transformation;

lavatar+Nickname full user: Suitable for image brand communication;

lCold number not completely excluded users: Suitable for trying one-time mass tests and setting a jump strategy.

After hierarchical management,Every timeZalo messages have clear goals and path planning, thereby improving marketing efficiency and reducing the risk of account ban.

 

Platform recommendation: Digital PlanetZalo data detection system

As a technical platform that deeply cultivates social data marketing, Digital Planet currently provides a one-stop serviceZalo sieving capacity, including but not limited to:

lBatch inspectionZalo registration status, empty number filtering

lIdentify near30-day active users

lDetermine whether to set avatar, nickname, and data integrity

lVisual grouping tag export

lSupport direct dockingZalo private domain system performs subsequent sending management

There is no need to write scripts or technical team intervention. Just upload the mobile phone number file, and the system can automatically complete the filtering and output structured results.

Welcome to use the digital planet to build your ownZalo efficient mass pool. Start testing now and ask for results from each release.


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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