do it in vietnamMany teams have encountered similar problems when promoting Zalo mass messaging: they spent a lot of budget to purchase mobile phone numbers and sent tens of thousands of messages, but received few responses. It seems that the problem may lie in the language, time points, and sending frequency, but after digging deeper, the answer is often very heartbreaking——The target of mass messaging is not at all"living people".

Recently, the Digital Planet team conducted a batch ofZalo mass data has been tested in depth. We try to structurally optimize the original data through empty number filtering and activity filtering.Finally, the actual effect of doubling the conversion rate was achieved.. This article will take you through the entire actual measurement process to see what is happening behind the data.

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

This batch of measured data comes from a local project partner in Vietnam, totaling100,000 mobile phone numbers. Initially, the traditional mass sending system was used to push promotional information directly, and the push cycle lasted for three days. The results were frustrating:

lInsufficient mass sending success rate30%

lNumbers without any response exceed80,000

lThe number of transactions is only in 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 adjusting the copywriting was still not significantly improved, and finally decided to introduce the Digital Planet platform for a comprehensive screening process.

Step 1: Detect empty numbers and registration status in batches

We use the platform to provideZalo detection system performs full detection on raw data. The main filtering dimensions include:

lRegister or notZalo account

lWhether it is in an abnormal state (frozen, account blocked, logged out)

lIs it an account that has not been logged in for a long time?

The test results show that inAmong 100,000 numbers:

lonly about38% have registered Zalo accounts

lwhich are close to15,000 accounts have abnormal status

lThose that can actually be used as mass-sending objects are onlyAround 32,000

This also means that there are more than68,000 numbers are completely invalid, directly causing a serious waste of resources and sending costs.

Step 2: Further screen activity and basic tags

After the initial cleaning, we further segmented and screened the available accounts, with the goal of identifying users who are more likely to respond and have interactive potential:

lfilter nearLog in to an active account within 30 days

lMark users with avatars, nicknames, and basic information

lTarget the area where the target customer group is based on geographical tags (such as Ho Chi Minh, Hanoi, etc.)

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

Step 3: Re-initiate mass distribution and measure new conversion data

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

The result is as follows:

lMessage delivery rate increased to92%

lThe number of people effectively clicking on the link has doubledclose6 times

lThe actual number of transactions reached the initial targetMore than 3 times

lReduced lead collection costs42%

This set of comparison results clearly illustrates:It’s not that the group messaging tool isn’t working, or that the users are indifferent, it’s just that you didn’t find the right person to talk to.

The marketing logic behind empty account filtering

The essence of empty number filtering is not to"Beautify the data", but to build a more sensitive 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 of Zalo private domain marketing.

And, filtering is not limited toThe difference between "with a number" and "without a number". With the development of platform technology, screening systems like Digital Planet have supported more dimensions:

lFilter gender and age preferences (suitable for women’s categories)/education placement)

lFilter cold accounts and zombie accounts (increase open rate)

lMark whether to set an avatar (representing the user’s active intention to use it)

lFilter promotion scope by regional tags (increase conversions)

These functions are far more than simple"Cleaning data" goes one step further. It directly improves the core of conversion and ROI.

Which businesses are suitable to start using?Zalo data filtering?

We recommend that the following types of businesses be prioritized for introduction:Zalo data detection and screening process:

lDoZalo mass messaging and customer service operation team

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

lSmall and medium-sized brands that need low-cost starting quantities

lEducation and training, virtual services, course projects

lLocal agents or operating companies focusing on the Vietnamese market

Especially for projects that are in the bottleneck period of user growth, empty account cleaning and data reconstruction are often done at once.The beginning of "deep healing".

At Digital Planet, we develop every screening tool around marketing effectiveness. If you have it in your handZalo bulk data needs to be optimized. Welcome to the platform to start a higher quality customer communication road.

digital planetis a world-leading number screening platform that combinesGlobal mobile phone number segment selection, number generation, deduplication, comparison and other functions. It supports customers worldwideBatch numbers for 236 countriesScreening and testing services, currently supports40+ 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, Bybwait.

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 filteringwait.

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.

You can find it on the official channelt.me/xingqiuproGet more information and verify the identity of business personnel through the official website. official businesstelegram:@xq966

(Warm reminder: When searching for the official customer service number on Telegram, be sure to look for the username.xq966), you can also verify it through the official website personnel:https://www.xingqiu.pro/check.html, confirm whether the business contact you is a planet official