WhatsApp middle-aged user screening, how to group customers over 35 years old to make it more practical

BundleAll people over the age of 35 are put under the label of "middle-aged users", which seems to be trouble-free, but it is easy to lose focus when actually doing customer operations. The consumption scenarios of a 35-year-old and a 55-year-old may be completely different. The same 45-year-old customer will also have great differences due to product interests, family stage, historical purchases and recent consultations.

WhatsApp's middle-aged user screening is more suitable to be based on the age information that the company already has, and then combined with WhatsApp account status, product interests and recent business behavior to continue segmentation, rather than directly judging the age when seeing a mobile phone number.

The over-35s are not exactly the same group of people

The most common problem with age screening is that the range is drawn too broadly.

For examplePeople aged 35-44 may pay more attention to family consumption, career development, education, quality of life, etc. Users aged 45-54 and those over 55 may have completely different needs for some products.

If a product itself is obviously affected by age, put allIf you put customers over 35 years old together, the subsequent content and sales follow-up will still be confusing.

Therefore the purpose of age grouping is not to label customersThe “middle-aged” label allows people at different stages to see more relevant products and information.

Age must come from existing customer data

A WhatsApp number alone cannot reliably determine a user's true age.

If the company's own official website registration, membership system, event registration,If there is already age or birth year provided by the customer in the CRM or historical business data, you can continue to use these fields for grouping.

If you only have a mobile phone number and no age information, it is not suitable to guess based on avatars, nicknames, names or other superficial features.

Customers whose age is unclear can be directly retained as"Age unknown".

In this way, although not every item in the list will have an age, the data itself will be more reliable.

How to classify age groups over 35 years old?

There is no need to set an age range that is the same for all industries.

For more common methods, please refer to:

l35-44 years old: mature consumption stage of young and middle-aged people

l45-54 years old: mature customer group

lOver 55 years old: more mature age users

lAge unknown: information is temporarily incomplete

But this is just a basic stroke.

If the product is primarily intended forUsers over 40 years old can also reclassify directly from 40-49, 50-59, or over 60 years old.

If the number of customers is not large,The 35-49 and 50+ groups may also be available.

There is only one real standard: after grouping, whether the subsequent products, content or sales methods will change.

Age tags should be used together with product interests

Screen out individuallyThe range of WhatsApp users aged 35-44 may still be very large.

For example, in the same age group, some people care about skin care, some care about household products, some consult about courses, and some just sign up for historical activities.

A really more practical combination could be:

35-44 years old + pay attention to product A

45-54 years old + history of purchasing product B

Over 55 years old + recent consultation C service

Over 35 years old + age confirmed + no clear product interest

In this way, sales no longer see just age, but know what needs this customer is currently closer to.

Digital Planet can addWhatsApp account status

For example, the company's own customer data already has an age field:

American customers,42 years old, consulted product A on the official website;

French customers,51 years old, history of purchasing product B;

German customers,58 years old, recently re-inquired;

UK customers,46 years old, no new interactions for a long time.

This age and business information comes from the company's own existing customer records.

In the future, you can use Digital Planet to check the mobile phone numbers in it.WhatsApp account activation related screening, the platform status is restored to the original customer information.

After sorting out, the company's own customer system can form:

42 years old + WhatsApp account status + official website consultation for product A

51 years old + WhatsApp account status + historical purchase of product B

58 years old + WhatsApp account status + recent re-inquiry

46 years old + WhatsApp account status + long-term no interaction

What Digital Planet adds here isWhatsApp account status, age, product interests, historical orders and recent inquiries still come from the company's own business data, and cannot be written into Digital Planet to directly detect these customer attributes.

Being over 35 years old does not mean that you have greater spending power

The older you are, the stronger your spending power will be. This judgment is not reliable.

oneA 50-year-old customer may be just an ordinary browser; a 36-year-old customer may have actively inquired about prices, confirmed quantity and delivery date.

What really determines sales priority is whether there are clear business actions.

So age is more appropriate to decide"How to divide the content" rather than directly deciding "who is the most valuable".

If you want to arrange the sales order, you can continue to look at recent consultation, orders, replies, quotations and repurchase records.

New customers and old customers should be treated separately

Same thing45-year-old WhatsApp users, new customers and old customers should also be handled differently.

The new customer has just submitted the form and can focus on confirming product requirements.

Old customers who have purchased products before can continue from the historical purchase and repurchase cycle.

Long-term silent customers do not need to be remarketed immediately just because their age matches the target group.

Age only narrows the crowd, and it is the customer relationship stage that determines how to communicate later.

Different industries have different priorities for classifying middle-aged users.

Consumer products are more likely to focus on age and life stage.

For example, clothing, care, education, household products, travel, and hobby products, age may significantly affect the content direction.

When doing industrial equipment, enterprise software, and cross-border logistics, age is usually less important than industry, position, company, and procurement needs.

This typeEven if the B2B business has an age field, there is no need to put it in the first level of filtering conditions.

soScreening middle-aged WhatsApp users is not necessary for all businesses. This label is valuable only when age really affects customer needs.

Middle-aged customers who have recently consulted again need to be upgraded again

Age grouping is not done once and then fixed.

For example a48-year-old historical customers who have not purchased in half a year can enter general maintenance first; if they have recently re-inquired about new products, they should immediately increase their priority.

oneA 55-year-old customer used to make frequent purchases, but has made no new actions in the past year. He can also gradually reduce the current frequency of follow-up.

Customer status should change with business behavior, rather than always being placed at the top just because the age meets the target.

It is best to eventually formThe combination of “age + demand + WhatsApp status”

When it is actually used for operations and sales, there is no need to make dozens of complex tags.

country, age group,WhatsApp account status, customer source, products of interest, latest interaction, and current follow-up stage can already solve most problems.

For example, a piece of customer information is the United StatesA 42-year-old user, the relevant WhatsApp account status has been added. He consulted product A through the official website 3 days ago, and can enter the focus of follow-up in the near future.

The other one is FranceA 53-year-old historical customer whose WhatsApp-related status has been confirmed, but has no new orders for a year, can continue to be placed in the maintenance group.

The really useful part of WhatsApp's middle-aged user screening is not to simply find people over 35 years old, but to use existing age data to separate customers at different stages, and then combine product interests, WhatsApp account status and recent business behavior to determine how to operate in the future. Being over 35 years old is just a starting point. What really affects a customer's value is what he is paying attention to now and whether he has generated new needs recently.

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