How to screen male and female WhatsApp users? How to use existing gender data with account status

做WhatsApp客户分组时,男女标签确实可以帮助安排不同内容,但前提是性别资料本身有可靠来源。WhatsApp账号状态主要解决号码有没有对应账号、能不能进入WhatsApp沟通渠道,性别则更适合来自会员资料、表单、CRM或客户主动填写的信息,两类数据配合起来使用会更稳妥。

DoWhen WhatsApp customers are grouped, the male and female labels can indeed help arrange different content, but only if the gender information itself has a reliable source. WhatsApp account status mainly solves whether the number has a corresponding account and whether it can enter the WhatsApp communication channel. Gender is more suitable for information from member information, forms, CRM or customers actively filling in. It will be more reliable to use the two types of data together.

WhatsApp account status and customer gender are not the same thing

Mobile phone number has been activatedWhatsApp can only show that there is a corresponding account basis, but it cannot directly determine whether the real user behind the account is male or female.

Similarly, accounts with avatars and nicknames are not suitable to be directly used as a basis for true gender. The avatar may not be that of the person, and the nickname may not be gender specific.

Therefore, if there is no reliable gender information in the original customer information, you can keep it first"Unknown", there is no need to forcibly fill in the label for customer grouping. Wrong gender labels may affect subsequent marketing content.

Which gender profiles are more appropriate to continue using?

If the customer has previously volunteered gender information, this data can continue to be retained.

Common sources include:

lOfficial website registration form;

lMember information;

lCRM already has fields;

lEvent registration information;

lAccount information filled in by the customer themselves;

lThe business already has reliable tags in the order or user system.

These gender fields can continue to correspond to the mobile phone number, and then cooperate withWhatsApp account status for subsequent screening.

For example, it is already known that a certain batch of customers are female users, and then confirm which numbers among them haveBased on the WhatsApp account, you can further arrange corresponding customer operations.

FirstComplete the WhatsApp channel and then divide it into male and female groups

When there is a lot of customer data, you can first sort out the account channel layer.

Digital Planet supports those who already have numbersWhatsApp account-related filtering can sort out the activation status and corresponding account base of a large number of customer mobile phone numbers, and then combine them with the original gender, region, product interest and other tags.

For example:

Female customers +WhatsApp has been activated + recent inquiry

You can give priority to follow up on corresponding products.

Male customers+WhatsApp has been activated + historical transactions

It can be combined with repurchase or new products to maintain old customers.

Gender tag already exists + not detectedWhatsApp activated

Keep the phone number,Telegram, LINE, email and other existing channels.

soWhatsApp detection is responsible for the communication entrance, and gender tags are responsible for assisting customer grouping. The two parts will not be mixed together.

It is best to match the male and female labels to product interests.

Knowing whether a customer is male or female alone is not enough.

For the same female customers, some focus on beauty, some focus on digital, and some buy household products; male customers may also be in completely different consumption and business scenarios.

Therefore, in actual operation, the conditions can be combined:

gender;

Region;

product interest;

Recent inquiries;

Purchase history;

Customer source;

WhatsApp account status.

Use this information together to make a"Men's List" and "Women's List" are of more practical value.

There are already tags for men and women, so don’t let everyone post the same content.

Just because customers are of the same gender does not mean their current needs are the same.

For example, two female customers have already openedWhatsApp, one just inquired about a new product yesterday, and the other has not had any interaction for half a year, and the follow-up contact rhythm should definitely not be used exactly the same.

Customers who have recently consulted are more suitable to follow up on products and quotations. Customers with historical transactions can do repurchase maintenance. Customers who have been silent for a long time can reduce the frequency and reactivate after new products, price changes or other reasonable reasons.

Therefore, gender is only an auxiliary condition in customer stratification and should not be the only criterion.

When you don’t know your gender, it’s better to keep it unknown.

It is very common for customer data to be incomplete.

If there is no reliable source of gender, rather than guessing based on avatar, nickname or account information, it is better to keep"Unknown" label, continue to conduct customer operations based on product interests and real business behavior.

For example, although a customer does not know his gender, he has recently taken the initiative to inquire,The WhatsApp account is normal and the product needs are clear. This data can still be a high-priority clue.

Conversely, a client whose gender is already known but who has not had any interaction in years is not necessarily worthy of immediate follow-up.

This shows that true needs are always more important than a single gender label.

Gender screening is ultimately to make the content more suitable

The value of WhatsApp male and female user screening is not to simply split customers into two lists, but to allow existing customer information to be used together with account channels, product interests, and recent needs.

Digital Planet can be completed firstWhatsApp account-related screening is used to sort out data with corresponding communication foundations; customers with reliable gender tags will continue to be grouped based on region, product and business stage. This will make subsequent customer operations clearer and reduce content mismatches caused by incorrect labels.

if inIf you have any questions about WhatsApp male and female user screening, account status detection, customer tag sorting, or other overseas social platform data screening, you can directly contact the official customer service of Digital Planet. Digital Planet provides free consultation and can assist in choosing a more appropriate screening method based on actual customer data, target markets and operational scenarios.

 

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