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existIn WhatsApp operation and overseas marketing, more and more practitioners are beginning to pay attention to a very practical segmented tag -gender. Especially when you are doing private message mass sending, user profile classification, community layered management or precise advertising, if you can know in advance whether the user behind a mobile phone number is a man or a woman, the entire conversion process will become more efficient.
But the problem follows:How to check the gender of WhatsApp number? Is there a reliable way to judge in batches whether a mobile phone number is a man or a woman?
This is the core topic to be solved today. This article will revolve aroundThe requirement of "WhatsApp number checking gender" system introduces what tools you can use, how to do batch screening, what are the uses of these gender data, and highlights the recommendation of a practical platform that can accurately identify the gender of WhatsApp number:Digital Planet Number Screening and Detection System.
Why do itWhatsApp number check gender?
Many people think gender is not important, but the truth is exactly the opposite. In most marketing scenarios,Gender is the basic dimension that affects decision-making preferences and communication styles. For example:
lPromoting skin care, clothing, and maternal and child products requires female users
lWhen doing financial, financial and sports services, male users respond more positively
lThe content of private message scripts often has huge differences in styles depending on gender.
lDuring community management, the ratio of men and women is related to the interactive atmosphere and transformation effect
lWhen analyzing data, the gender dimension can help you define user portraits more accurately
If you know which numbers are women and which are men at the beginning, then your operational efficiency, click-through rate, and conversion rate will all show an exponential improvement.
Can be found in ordinary waysWhatsApp users are gendered?
The answer is: almost no. Many traditional methods have the following problems:
lRecognition through avatar: Time-consuming and labor-intensive, the avatar is not necessarily real, and it is easy to misjudgment
lJudging by name:WhatsApp name fields are not standardized, incomplete, and have no reference value
lTesting in private message communication: High time cost and not suitable for large-scale operations
lUse assumption ratios to"Guess": Marketing is not gambling, it cannot be based on luck
want toBatch, efficient and structured judgmentGender of WhatsApp Number, it must rely on professional data analysis and screening platforms.
Digital Planet: SupportWhatsApp number checking filtering platform
Digital Planet Number Screening and Detection Platform, is a set for cross-border e-commerce,Data filtering tools designed by SaaS, education, finance and private domain operators. It not only supports detection of whether the number is enabled WhatsApp, but more importantly, it can identify the gender tags of the user of the number and combine multiple tags for filtering in combination with other dimensions.
The core capabilities of the platform include:
lDetermine the bound mobile phone numberGender tags for WhatsApp accounts (based on behavior, registration information, social network analysis)
lSupport batch upload of mobile phone number detection and accurate output of gender fields
lSupport combination of labels such as country, age, activity, etc.
lThe filtered data supports standardized export, which is convenient for direct import into mass transmission systems, private domain systems orCRM system
lCan be used in mainstream numbers around the world (such as the Philippines, India, Saudi Arabia, Brazil, Indonesia and other countries)
This means that you can identify gender in batches with one click, instead of verifying and testing one by one.
Practical steps: How to check digital planetsWhatsApp number gender?
The following is a typical batch operation process, suitable for most promotion, community, and advertising operation scenarios:
Step 1: Log in to the Digital Planet Platform and enter"Number Filter Detection" function module
choose"WhatsApp Number Gender Identification" function enters the filter interface.
Step 2: Upload the list of mobile phone numbers to be tested
supportUploading in CSV/XLS format can also be directly imported into the international number library provided by the platform.
Step 3: Set the filter condition combination (optional)
For further accurate positioning, you can also add:
lCountry or region: such as Vietnam, Philippines, Saudi Arabia
lAge group:18-25, 26-35, 36-50, etc.
lActive status: nearLogin or active record in 30 days
lPlatform binding situation: whether to bind an email, whether to participate in marketing activities, etc.
Step 4: The system automatically recognizes gender and outputs results
The background system will make gender judgments on each number and mark it as"Male", "Female" or "Unknown" (if there is insufficient data).
Step 5: Export the filter results for subsequent operations
You can export the filtered data and directly connect to the following systems:
lWhatsApp private message mass sending system
lLine or Telegram assisted reach system
lCommunity building tools
lAutomated private domain managementCRM Platform
After checking the gender, these marketing actions will be more accurate
You may ask, how do you actually use it after checking the gender? Here are a few typical landing scenarios:
1. Male/female users will post different copy or product recommendations respectively
For example, when promoting women's skin care products, only send mass messages to women's numbers to avoid accidentally touching male users.
2. Establish communities by gender to improve interaction and transformation
Men and women have different languages, rhythms, and interests in the group, so group operation is more effective.
3. Accurate advertising testing and conversion analysis
Control male/Women two data pools, test the differences in different ad copy, click-through rate and transaction rate.
4. Optimization of the connection rate of the electric pin system
In some countries, female users are more willing to answer calls from companies, and setting dialing strategies can improve efficiency.
Real case: PhilippinesWhatsApp user gender filtering and private message conversion
An education platform plans to promote online courses in the Philippines, using the following strategies:
lUpload5000 Philippines WhatsApp numbers to Digital Planet Filter System
lFilter out female users3020 people, marked as 18-30 years old
lImportWhatsApp private message system, mass-send limited-time course discount invitations
lPrivate message opening rate:28%, click-through rate: 11.4%, number of registration conversions: 196
By knowing the gender in advance, they avoided"Non-target groups" are ineffective to reach, saving costs and improving overall conversion.
If you're still doing it"How do you know whether these WhatsApp numbers are behind men or women?" I'm worried. You might as well try the gender screening function of Digital Planet immediately, get a real and available data sample, and see how big the gap is.
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.
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