Do it in VietnamZalo mass promotion, many teams have encountered similar problems: they spent a lot of budgets to buy mobile phone numbers, and sent tens of thousands of messages in a group, but they did not receive a few responses. It seems that the problem may lie in the speech, time nodes, and transmission frequency, but after digging deeply, the answer is often very heartbreaking -The mass object is not"Living person".

Recently, the Digital Planet team has been working on a group ofZalo mass data was tested in depth. We try to optimize the original data through empty number filtering and activity filtering.Finally, the actual effect of double conversion rate was achieved. This article will take you into the entire test process and see what exactly happened behind the data.

The root cause of mass sending failure: too many invalid numbers

This batch of measured data comes from a Vietnamese local project partner,100,000 mobile phone numbers. Initially, the traditional mass sending system was used to directly push promotional information, and the push cycle lasted for three days, and the result was frustrating:

lInadequate success rate of mass30%

lNo response number exceeds80,000

lThe transaction number is only single digits.ROI is close to zero

The project leader initially suspected that it was a content design problem, but after comparative testing, the effect after copywriting adjustments was not significantly improved. Finally, he decided to introduce the Digital Planet platform for a comprehensive screening process.

Step 1: Batch detection of empty numbers and registration status

We use the platform providedZalo detection system, conducts full detection of original data. The main filter dimensions include:

lRegister or notZalo account

lIs it an abnormal state (freeze, block, and cancel)

lIs it a long time not logged in to an account

The test results show thatAmong 100,000 numbers:

lOnly approx38% are registered Zalo accounts

lThere are close15,000 accounts have abnormal status

lActually, it can be used as a mass object, onlyAbout 32,000

This also means that there are more than the original data68,000 numbers are completely invalid, directly causing serious waste of resources and transmission costs.

Step 2: Further filtering activity and basic labels

After the initial cleaning, we further segmented and screened the available accounts, with the goal of finding users who are more responsive and have interactive potential:

lFilter nearLog in to your active account within 30 days

lUsers marked with avatar, nickname, and basic information

lLock the area where the target customer group is located according to the regional tag (such as Ho Chi Minh, Hanoi, etc.)

Through this round of operations, we finally screened out17,000 high-quality Zalo accounts, create an optimized delivery list.

Step 3: Re-initiate mass sending and test new conversion data

The new mass-send action is still tested using the original copy and the same time period, and the sending target is changed to this17,000 high-quality accounts.

The results are as follows:

lThe message delivery rate has increased to92%

lThe number of people who clicked on the link has been translatedclose6 times

lThe actual number of transactions reached the first placementMore than 3 times

lReduced lead collection cost42%

This set of comparison results is very clear:It’s not that the mass sending tools are not good, nor that the users are indifferent, but that you are not talking to the right person.

Marketing logic behind empty number filtering

The essence of empty filtering is not for"Beautify data", instead establishing a keen perception of user portraits.

When you skip invalid and abnormal accounts and focus your budget on real users with basic information and behavioral records, every word and every piece of information you say becomes more valuable--This isThe first lesson in Zalo private domain marketing.

And, filtering is not limited toThe difference between "signed" and "no" is. With the development of platform technology, screening systems like Digital Planet have supported more dimensions:

lSelect gender and age preferences (suitable for female categories/Educational delivery)

lFilter cold numbers and zombie numbers (increase opening rate)

lTag whether to set the avatar (represents the user's willingness to use it actively)

lScreen promotion scope by region label (improve conversion)

These functions are much more pure than"Cleaning data" needs to go a step further, and it directly improves the core of conversion and ROI.

Which companies are suitable for startingZalo data filtering?

We recommend that the following types of businesses be given priority to introducingZalo data detection and filtering process:

lDoZalo mass delivery and customer service operation team

lCross-border e-commerce or Southeast Asia local e-commerce marketing team

lSmall and medium-sized brands that need to start at low cost

lEducational training, virtual services, course projects

lLocal agents or agents mainly in the Vietnamese market

Especially for projects that are in the bottleneck period of user growth, empty number cleaning and data reconstruction are often the same.The beginning of “deep healing”.

On the Digital Planet Platform, we always develop every filtering tool around marketing effectiveness. If you have itZalo mass data needs to be optimized. Welcome to the platform to open a higher-quality customer communication path.

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.

You can use the official channelt.me/xingqiuproGet more information and verify the identity of business personnel through the official website. Official Businesstelegram:@xq966

(Warm reminder: You must identify the username when searching for the official customer service number on Telegramxq966), you can also verify through the official website:https://www.xingqiu.pro/check.html, confirm whether the business you are in contact with is a planet official