Viber age filtering, sorting different user groups according to existing age information

DoWhen Viber customer data is compiled, age is often used to group users. For example, among the same group of customers, there are young users, middle-aged users, and people whose ages are not filled in completely. If there are obvious age differences in the product itself, it will be easier to arrange content, activities, and sales follow-up after these people are separated.

However, there is a prerequisite for Viber’s age screening that must be made clear first:You cannot rely on just a mobile phone number orViber account can reliably determine the user's true age. What is more suitable to use is official website registration, member information, event registration,The age or age group already provided by the user in channels such as CRM is combined with the Viber account status.

First check whether the original customer table has age information

If a batchThere is already an age field in Viber-related customer data, so subsequent processing will be relatively simple. You can first check the age for missing, duplicate, and obvious errors before deciding how to divide the interval.

For example, the original data already contains:

Mobile phone number, country, age, customer source, and products of interest.

At this time, the international number format should be unified first, then duplicates should be removed, and then the age groups should be divided according to actual business needs. can finally be organized intoThere are several groups: 18-24 years old, 25-34 years old, 35-44 years old, over 45 years old, and unknown age.

If the original customer table does not have an age field at all, do not force the age to be added to each number for the purpose of filtering. The unknown age can be kept alone and will be updated later when new user information is available.

There is no need to divide the age groups too finely.

Many customer bases like to break down the ages very finely at first, but in the end it is not easy to use.

For example, if the user pressesThe points are divided downwards at the age of 18, 19, and 20. After the sales are obtained, it has almost no practical significance. It is more practical to draw several broad age ranges according to the product audience.

Consumer goods can be18-24, 25-34, 35-44, 45 and above.

If the product is mainly for mature users, you can also do it directly25-34, 35-44, 45-54, and over 55 years old.

The real criterion is not a fixed range, but whether the subsequent marketing methods will change after grouping.

ifCustomers aged 35 and 36 end up watching the same content, so there is no need to separate them.

First separate the wrong age and blank data

DoWhen filtering by age on Viber, don’t use it as soon as you see the number.

In some forms, due to input errors, age may be written as5 years old, 150 years old, or the birthday field is mistaken for age.

Such obviously abnormal data should be put into the group to be confirmed first.

If your age is not filled in, do not directly guess based on your name, avatar or mobile phone number.

The simpler way to deal with it is:

The effective age enters the normal group;

Obvious abnormalities are entered for verification;

No age was entered into the unknown group.

Although this data does not achieve100% filled, but more reliable for later use.

digital planet onViber account status is more suitable

After the age data is sorted, you can continue processingViber channel.

If the company has obtained customer mobile phone numbers through normal business channels such as official website forms, membership systems, historical orders, event registrations, etc., it can first clear out duplicate numbers and then do so through Digital PlanetViber related account activation screening.

For example, the original customer information is:

Vietnam+28 years old + follow product A

Germany +41 years old + historical customer

France + Unknown age + Official website inquiry

Philippines+33 years old + event registration

ReplenishAfter Viber status, you can form:

Vietnam+25-34 years old + Viber has been activated + follow product A

Germany +35-44 years old + Viber has been activated + historical customers

France＋age unknown＋Viber has been activated + recent inquiries

Philippines+25-34 years old + Viber has been activated + event registration

Digital Planet is responsible for number sorting andViber platform status, age field still comes from existing customer information. The combination of the two types of information is a more reasonable Viber age filter.

In the same age group, we should also continue to look at the source of customers

The same age does not mean the customer value is the same.

twoOne of the 30-year-old Viber users just inquired about the price through the official website yesterday, and the other only attended an event two years ago. Their sales priorities must be different.

Therefore, after age grouping, it is best to continue to retain the source of customers.

Recent inquiries with clear sources will be given priority.

Old customers with historical orders can be maintained according to the repurchase cycle.

Registration for ordinary events and data that has not been interacted with for a long time can be lowered in priority.

Age is responsible for dividing the crowd, and source and behavior are responsible for determining who follows first.

Young users do not mean it is easier to complete transactions

After some people do age screening, they will subconsciously give higher priority to younger users.

This approach is not necessarily correct.

If the product is entertainment, fashion, and social products that are more commonly used by young people, the younger age group may indeed be more suitable.

But if you are doing insurance, real estate,For B2B services, durable goods or high-customer single products, more mature customers may be more in line with the target market.

So age itself is not a value label.

It just helps determine whether the product and user are a match.

Whether there is a real purchase demand depends on whether the user actively consults, inquires, fills in requirements, places an order, or comes back to communicate again.

Which businesses are Viber age screening more suitable for?

The value of age tags varies widely in different businesses.

In businesses such as apparel, skin care, education, entertainment, hobby activities, and consumer goods, age often affects content and product recommendations.

For example, young users may pay more attention to new products and trends, while middle-aged users may pay more attention to practicality and long-term value.

But if you do industrial equipment, logistics, and enterprise software, the importance of age will be significantly reduced.

These businesses should prioritize the position, company, industry and procurement needs.

so not allAll Viber customer databases must be screened by age.

If age grouping does not change subsequent content, products, or sales methods, there is no need to place too much emphasis on this field.

Age must be combined with product interests to be more useful

Separate batchesViber users aged 25-34 may still have a wide range.

What is more practical is to continue to add product interest.

for example:

25-34 years old + Viber activated + follow beauty products

35-44 years old + Viber has been activated + focus on household products

Over 45 years old + Viber has been activated + historical repeat purchase customers

Age unknown +Viber has been activated + active inquiry recently

What sales get in this way is not a pure age list, but a group of customers with product direction and business background.

If there is only age and no product demand, the accuracy is still limited.

Recent interaction time is more suitable for sales order than age

Age is more suitable for content classification, and sales priority is best to continue to depend on time.

For example, aA 45-year-old user just took the initiative to inquire about the product yesterday. Another 25-year-old user has not had any interaction for half a year. Obviously, the former should be contacted first.

Therefore, it is best to keep the latest business time in the customer table at the same time.

It can be divided into recent inquiries, normal follow-up, historical customers, and long-term silence.

In this way, even within the same age group, you can continue to find people who are truly worthy of priority.

originalViber customer table can be organized like this

Assume that there is30,000 pieces of Viber-related customer data, only country, mobile phone number, age and source.

The first step is to unify the mobile phone number format.

The second step is to remove duplicate numbers.

The third step is to check the age field and sort out errors and blank data separately.

The fourth step is to divide the age groups according to business needs.

Step 5: Filter through Digital PlanetViber activation status.

Finally, add age,Viber status, customer source, following products and recent interactions merged.

The original number list can be turned into several groups of people that can actually use it.

For example, young users with high recent intentions, mature age historical customers, users of unknown age but who have recently actively inquired, etc.

Data with unknown age can also be valuable

If the age is not filled in, it does not mean that this customer cannot use it.

If a user's age is unknown, but he just took the initiative to ask for a quote yesterday, it is still a high-value lead.

On the other hand, the age information is very complete, but there has been no business action for three years, so there is no need to be ranked first.

So don't delete the customer directly just because the age is missing.

Age is just one of the auxiliary tags and is not the only condition for whether a customer can continue development.

The truly practical way to screen Viber's age is to first use the real age information that the company has already mastered, group users into appropriate intervals, then supplement Viber account status through Digital Planet, and finally continue to determine priorities based on sources, product interests, and recent interactions.Age is responsible for dividing customers into different groups.Viber status is responsible for confirming communication channels and truly deciding who deserves to be followed first, or whether the customer has recent clear needs.

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