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Many people who do overseas marketing have had this scenario: you have thousands of customer numbers in your hands, but you don’t know which one is a girl, which one is a boy, and which one is20 years old, which one is 50 years old. You want to promote skin care products, but you are pushing it to a bunch of big men; you want to sell parenting courses, but you are sending it to a bunch of users who have no children. Can accurate marketing data check gender and age? How to quickly screen the crowd? This is a core issue that more and more marketers want to solve.
This article revolves around this issue and explains clearly the identification, selection methods, and how to use gender and age data in the current market.Digital Planet Number Screening and Detection PlatformSieve out user groups that meet the conditions in one step.
Can gender and age information be checked? Depends on what data source you use
Let’s talk about the conclusion first:Can check, but only if you useData source with tagsOr with the help ofA screening platform with identification capabilities. The mobile phone number itself will not tell you gender and age. Only when it is bound to social platform accounts, user behaviors, registration information, etc. can the corresponding user portrait be identified.
There are many so-called"Precise data" is actually a bunch of mobile phone numbers. You don't know which platform to open, nor can you tell who the user is, let alone what gender and age are. This kind of data is not accurate at all.
But if you use professional platforms, such as the Digital Planet Screening System, it can extract user attributes in the following ways:
lLinked social account behavior analysis to determine gender usage preferences (such as nickname, avatar, group chat interaction, etc.)
lRefer to registration information or third-party behavior data to assist in identifying age groups
lAutomatically marking through the platform labeling system:Women aged 25-35, men over 35, etc.
This system is not"Guess" is judged based on the real social behavior logic.
How to quickly filter customers of the specified gender and age group?
Take digital planets as an example, if you want to find them"Female WhatsApp users under 30 years old" only takes a few steps on the platform:
lSelect the target platform:WhatsApp
lFilter Tags: Female
lFiltering age group:18-30 years old
lFilter active status:Active on 3 days or active on 7 days
lFiltered regions (optional): Southeast Asia, Latin America, Europe and the United States and other countries
The platform will directly return the data set that meets the criteria after you submit a filter request. These users not only have clear gender and age, but also have available account status and active social platforms, which truly have conversion value.
How did these tags come about? Is it accurate?
Many users listenA question that the "labeling system" worrys about: Are these gender and age labels accurate?
The Digital Planet Platform usesCombination judgment logic, it is not just about labeling users with just one signal. For example, judging gender will combine the following factors:
lWhether the nickname and username are gender-oriented words (such asGrace, Tom)
lIs the avatar real and has identifiable gender characteristics?
lGender composition and interaction frequency of group chat
lGender declaration information in the platform's data (such asLine certain registration information)
Age judgment is:
lAccording to registration time+Estimate possible age group for the first time of the platform
lMatching based on user behavior, topics to follow, and content attributes of joining group chat
lConnect with third-party social information (such asCross-comparison of Facebook, LinkedIn data residues)
The accuracy is not100%, but can meet the available standards at the marketing level, especially with extremely high cost-effectiveness in batch screening.
Examples of practical application scenarios: Different people's screening methods are different
Different products and services require different population screening logic. Here are a few common cases:
lBeauty product promotion:female+20-35 years old + highly active + WhatsApp registered user
lMaternal and infant content delivery:female+25-40 years old + have joined the parenting group chat
lFinancial consulting services:male+Above 35+Telegram active users
lOverseas e-commerce clothing category:female+18-30 years old + LINE or Instagram users + active in the past week
Through the custom tag function of Digital Planet, filtering conditions can be flexibly configured according to business goals, thereby achieving high matching customer extraction.
How to use these data after filtration?
The data filtered out by the platform can be exported in the formatExcel or CSV, the following usages are supported:
lImportWhatsApp or Telegram automatic powder adding tool
lDockingFbsee customer service system manages and distributes customers
lPush customized messages in batches by tags (such as women of different ages send different copywriting)
lUse the advertising system to do audience testing and precise delivery
If you cooperate with the automated distribution system, you can even realize that different customers can see different content, so as to truly achievePrivate domain marketing with thousands of people.
Summarize
Can accurate marketing data screen out gender and age? The answer is yes. The key is whether you use the right tools. The Digital Planet Number Screening and Detection Platform not only recognizes the platform's activation status and active tags, but also supports the extraction of high-quality customer lists by gender and age. Whether you are doing e-commerce, courses, financial management, insurance, adult content or cross-border services, as long as the customer profile is clear, screening can help you save half of your effort.
Precision marketing is not metaphysics, but a combination of tools and data. Next time, before attracting new products, promoting products, or advertising, spend a few minutes to screen the crowd accurately, which may bring double the conversion returns.
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:
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
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