Accurate age targeting on Instagram, how to filter target users based on existing age information

DoWhen Instagram acquires overseas customers, different products target very different groups of people. For beauty, clothing, games, education, digital, home and other products, users aged 18-24 may focus on completely different content than users aged 35-44, so many people will think of Instagram’s precise age positioning and hope to separate users of different age groups first, and then arrange content and subsequent marketing. But there is a basic problem that needs to be clarified first: just using an Instagram account or mobile phone number cannot reliably determine the user’s true age. A more practical way is to use existing age data such as user registration, member information, event registration, order information, etc., and then combine it with Instagram account status, country and product interests to complete the grouping.

The real solution of age positioning is not to guess how old a user is, but to use the age information already possessed by the company to make different products target more suitable groups of people.

First find the age information from existing customer information.

If the company's own customer database has saved the year of birth, age group or age information actively filled in by the user, follow-upInstagram customer screening is relatively simple.

For example, a batch of user information already contains:

Phone number

nation

age group

Follow products

Customer source

At this time, there is no need to re-judge the age, just clean up the existing fields.

For example, divide users intoThere are several ranges of 18-24 years old, 25-34 years old, 35-44 years old, and over 45 years old, and then based on the product, it is decided which group of people should be given priority.

If the original customer information does not have an age, it is not suitable to directly determine the true age simply based on the avatar, nickname, photo or account content. This kind of judgment error is very large, and it is easy to classify the wrong customers.

soThe first step in age screening on Instagram is not to guess the age from the account, but to confirm whether the age data in hand has a reliable source.

No need to cut too finely depending on the age group

When classifying customers, many people like to be as detailed as possible. In fact, if the age classification is too detailed, it will be difficult to use.

For example, put21-year-olds, 22-year-olds, and 23-year-olds have separate lists. It is almost impossible for sales and operations to prepare different content for each age group.

A more practical way is to divide it into several easy-to-manage intervals based on product characteristics.

For young consumers, you can focus on18-24 years old, 25-34 years old.

For family, home, and some high-customer single products, you can continue to pay attention.Users over 35 years old.

If the business itself has little to do with age, there is no need to put age first.

For example doWhen it comes to B2B software, company, industry, and position are usually more important than age; when making young fashionable clothing, age tags are more valuable as a reference.

The filtering conditions should follow the product, rather than forcing age tags for age targeting.

If you are of the right age, you still have to look at the country.

Instagram itself covers many countries, and the actual needs of the same age group in different markets may be completely different.

For example, allUsers aged 25-34, users in the United States, France, Thailand, and Japan will face different languages, prices, product preferences, and communication channels.

Therefore, after the age screening is completed, you can continue to break it down by country.

USAUsers aged 25-34

FranceUsers aged 18-24 years old

ThailandUsers aged 25-34

JapanUsers aged 35-44

Do this laterWhen it comes to Instagram content, advertising creatives, or customer follow-up, there will be more direction than just age.

If dozens of countries are mixed in one table at the same time, even if the age is very accurate, subsequent operations will still be chaotic.

Product interest is closer to real demand than age

Suppose there are two25 year old user.

One took the initiative to inquire about a certain skin care product, and the other just participated in an ordinary event.

Although the ages are exactly the same, the former is obviously more worthy of priority follow-up.

soAccurate age positioning on Instagram cannot only look at age, but also continues to look at what the user has done.

You can focus on retaining this information:

What products have you seen?

What forms have been submitted?

Have you taken the initiative to consult?

Have you asked about the price?

Do you have any purchase history?

Have you had any new business interactions recently?

Age only helps narrow down the scope, and product interest and real behavior make it easier to judge demand.

If the age is appropriate but has nothing to do with the current product, the sales priority does not need to be too high.

Digital Planet can complement this layer of platform screening

After the company has obtained customer numbers and age information through normal channels such as official website registration, membership system, advertising forms, event registration, etc., it can continue to organizeInstagram related platform information.

First, unify the format of mobile phone numbers and eliminate duplicate data, and then proceed through Digital Planet based on business support.Filter Instagram related account status and re-merge the numbers that meet the target platform conditions with the original age field.

For example, the original customer information already containsFor female users aged 25-34, after adding Instagram-related platform status, a clearer list can be formed:

USA25-34 years old + Instagram related users + beauty consultation

France18-24 years old + Instagram related users + clothing form

Thailand25-34 years old + Instagram related users + historical orders

Digital Planet is responsible for organizing the existing numbers and platform status. The age is still from the company's original customer information, not throughGuess the Instagram account directly.

In this way, the boundaries of use are clearer, and the data is easier to actually use for subsequent marketing.

If the age is suitable but there is no demand, the priority does not need to be too high.

Many of the listings look in very nice condition.

The target country is suitable, the age is suitable,The Instagram account also met the filter criteria, but after being contacted by sales, no one was interested.

The reason is simple. These tags can only prove that the crowd range is relatively close, but do not mean that users have current purchasing needs.

For example, a product mainly facesFor women aged 25-34, after screening out a group of users who meet the age and market conditions, you should continue to look at who has actively consulted, who has submitted a product form, and who has purchased similar products.

People with these behaviors may be given priority.

People with only age and account tags can be placed in the general customer group and do not need to follow the same follow-up rhythm as high-intent inquiry users.

This avoids wasting sales time equally among all users.

If your age is not in the core range, it does not mean that you will not be able to make a deal.

Age labels should not be used too harshly.

For example, the main customers of a certain product are concentrated in25-34 years old, but a 42-year-old user has taken the initiative to inquire about the price, explain the purchase quantity, and inquire about delivery. Of course, he should not be excluded because his age is not in the core range.

Real needs are often more important than crowd labels.

Age is more suitable to help narrow down the scope in the early stage, and is not suitable to be the only criterion for final determination of customer value.

You can simply judge in this order:

First check if there is real demand;

Then check whether the product matches;

Then look at the population conditions such as country and age;

Finally determine sales priorities.

This is more stable than screening the list by age alone.

Instagram age targeting can also in turn help content tailoring

Age data is not just for sales, it can also helpInstagram content operation.

If long-term statistics find thatUsers aged 18-24 pay more attention to short videos, outfits and usage scenarios, so content can be increased in these directions.

ifUsers aged 35-44 pay more attention to product functions, quality, price and after-sales, so more complete information can be prepared for this group of people.

But there is no need to apply a fixed impression here either.

In the end, it all depends on the data performance of your own account.

You can continue to record which age group brings more inquiries, which content is more likely to generate forms, and which type of users make better transactions in the end.

After doing it for a while,Instagram’s precise age positioning is no longer just about age, but can help determine which group of people is more suitable for current products.

A more practical setInstagram age filter order

If the company already has age information, it can be organized directly according to this idea:

First confirm that the age field is filled in by the user or already has customer information;

Unify mobile phone number formats and remove duplicate data;

Divide age ranges according to product needs;

Continue to classify by country and product interest;

Replenished by Digital PlanetInstagram related platform status;

Combine age, country, origin, product interests and platform information;

Finally, sales priorities are arranged based on real inquiries and purchasing behaviors.

The whole process doesn't need to be complicated.

What is really important is not to put age,Instagram account status and purchase intent are mixed together.

Age helps narrow down the target group,Instagram platform status helps organize channels, and what really determines whether a customer deserves priority follow-up is whether the user has shown actual needs.

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