From 18 to 45 years old: WhatsApp opens user age structure and marketing application

At a time when global marketing has entered deep waters,rightIn-depth understanding and hierarchical operation of the age structure of WhatsApp users, has become the core strategy for efficient delivery and user life cycle management. especially inIn the main age range of 18 to 45 years old, users of different age groups show completely different usage habits, content preferences and conversion logic. If companies can develop targeted contact methods based on this, they will significantly increase conversion rates and repurchase rates.

This article will focus onThe age structure characteristics of WhatsApp users aged 18-45 years old, combined with a practical perspective, explain in detail its implementation path in marketing applications.

 

Age structure insights:Three major segments of users aged 18–45

According to the digital planet, massiveIdentification and hierarchical statistics of WhatsApp user data. Users aged 18-45 can be roughly divided into the following three core age groups:

1. 18–24 years old: primary consumer group

lfeature: Mainly students and new entrants into the workplace, with fragmented time and preference for visual expression (expressions, short videos, stickers, etc.)

lContent preferences: Discount information, interactive lottery, trendy new products

lmarketing advice: Guide to joinWhatsApp community establishes preliminary connections through "task forwarding", "content interaction", "mini game entrance", etc.

2. 25-34 years old: the main group with the strongest transformation power

lfeature: During the period of rising career, with strong consumption power, they pay attention to brand, experience and product cost-effectiveness.

lContent preferences: Professional reviews, user feedback, limited time offers, cross-border e-commerce recommendations

lmarketing advice: Suitable for establishing a one-to-one precipitation path, such as continuous verbal guidance through an aggregated chat platform, with extremely high conversion rate

3. 35-45 years old: high net worth, high decision-makers

lfeature: Stable career, obvious family roles, long decision-making cycle but high unit price per customer

lContent preferences: Education, investment and financial management, insurance planning, health management, etc.

lmarketing advice: Focus on building trust in content, suitable for regularly outputting professional knowledge-based content, or setting up high-frequency live broadcasts/voice communication

 

How to identifyWhat is the age structure of WhatsApp users?

To achieve accurate age targeting, you must first have a reliable identification method. Digital Planet Platform can provide:

Multi-factor intelligent identification

Through the user's avatar, usage equipment, registration area, active time and other behavioral parameters, with the help ofThe AI ​​model determines the age group with an accuracy of over 85%.

Deeply bound to the activated status

The system can output numbers at the same time"Whether WhatsApp is activated" + "predicted age group" + "whether active" + "device type" and other fields are convenient for users to combine and filter.

Segmented export

Support willEach segment of user data 18–24, 25–34, and 35–45 is exported separately to facilitate distribution by channel, label management, and SOP process setting.

 

Recommended delivery methods for different age structures

age group

Recommended reach channels

Suitable for content type

Precipitation method

18–24 years old

Bulk sending+Community invitation

Fun, interactive, welfare-oriented

community+game tasks

25–34 years old

One-to-one follow-up+Form collection

Product introduction, evaluation content, user feedback

Polymerization system precipitation+conversion

35–45 years old

Long-term content preparation+Live broadcast

Knowledge-based, authoritative, structured content

Content precipitation+Long-term consulting transformation

 

Practical case of advertising: How to use age structure for conversion

scene1: Selling beauty products

ltarget group:Female users aged 25–34

lOperation mode:

¢Use Digital Planet to export accounts for women of this age group

¢Set up group messaging skills: new product trial+Limited discount code

¢Guide them to enter the customer service system to receive discounts+View trial feedback

¢Improve single conversion rate38%

scene2: Educational course delivery

ltarget group:Users aged 35–45

lOperation mode:

¢Use age group and whether to cross-screen potential users

¢Send course video preview+Expert interpretation

¢Set up recurring audio lecture invitations

¢Build long-term content accumulation and user trust

 

Things to note and misunderstandings

lMisunderstanding1: Age identification can only rely on user self-filling information

→ In fact, more than 80% of the active user age groups can be automatically identified through behavioral model + AI label judgment.

lMisunderstanding2:Users aged 18–24 are worthless

→ Although the unit price per customer is low, the group is large, fissionable, and highly interactive, which is suitable for short-term explosive volume

lMisunderstanding3: Unified speaking skills are suitable for all ages

→ Age determines the way content is expressed. It is recommended to conduct at least 3 versions of speech splitting and tag matching.

 

Use age data to build your“WhatsApp User Pyramid”

fromBetween the ages of 18 and 45, WhatsApp users constitute the most potential pool of people in global cross-border marketing. With the help of Digital Planet Platform, you can achieve:

lQuickly identify registered users of different age groups

lEstablish differentiated delivery content and rhythm

lBuild a transformation path for sustainable follow-up and fission

lReduce ineffective investment and increase crowd value

In the direction of marketingIn today’s world where “thousands of people have thousands of faces”, whoever can grasp the age structure of users will have the initiative in precise advertising.

If you want to use data to drive growth and use tags to improveROI, start building your “age-stratified model” today. Need help? Learn about Digital Planet’s multi-dimensional number screening system now.


digital planetis a world-leading number screening platform that combinesGlobal mobile phone number segment selection, number generation, deduplication, comparison and other functions. It supports customers worldwideBatch numbers for 236 countriesScreening and testing services, currently supports40+ social and apps like:

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The platform has several features includingOpen filtering, active filtering, interactive filtering, gender filtering, avatar filtering, age filtering, online filtering, precise filtering, duration filtering, power-on filtering, empty number filtering, mobile phone device filteringwait.

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