WhatsApp users are filtered by gender and age, and the mass sending efficiency has been significantly improved

The success of WhatsApp mass posting depends largely on whether it is "talking conversations to people". If all users receive the same content, regardless of gender, age, or behavioral preferences, the result is that the message is ignored, the link is not clicked, and even the account is complained. To improve mass sending efficiency, you must do a good job of user stratification in the early stage, andGender and age label filtering, is the most effective step before mass sending. This article will combine the digital planet number screening and detection platform to explain clearly how to identify gender and age in advance, and establish an efficient grouping and mass sending strategy based on these tags.

 

Whether the mass content is right or not is more important than how many people are posted

Many companies or operators are doingWhen sending WhatsApp mass, you will fall into a misunderstanding: you think that the more data, the better the result. In fact, it was found:

lThousands of messages, not many are actually opened

lThe link click rate is low, and the advertising image is ignored

lAfter sending it in a group, not only does the conversion rate be poor, but the account may also be blocked due to user dislike.

This is because of lack of mass content"User Match". A 25-year-old male and a 45-year-old female have completely different interests in content. When receiving the same information, there will naturally be no response.

So, before mass posting, the first step is not to write copywriting,Confirm who you want to send. User gender and age are the most basic but most effective hierarchical dimensions.

 

Digital Planet Platform supports gender+Age Multi-label filter

To help marketers filter and classify in advanceWhatsApp targets people, the Digital Planet Number Screening and Detection Platform provides a complete tag identification system. The platform can automatically tag your mobile phone number with gender and age through behavioral characteristics, external information and data matching.

Supportable tags include:

lGender tags:male/ Female / Not clear yet

lAge group tags:Commonly used stratifications such as 18-24, 25-34, 35-44, 45 or above

lOpen status tag: Whether it is enabledWhatsApp

lActive Tags: Is it a highly active user

lCombined tag output:like"Female +25-34+ enabled + high active" such crowd pack

Through these tags, you can no longer blindly post it, but instead accurately reach the target population based on the portrait.

 

Optimization of mass sending strategy: Different users are divided into different documents

After completing the gender and age tag screening, the mass strategy can be from"Massive sending for all members" is upgraded to "group sending for groups". You can do it in detail like this:

lFemale users: More suitable for receiving emotional, shopping, and life content. Copywriting should be emotional, relaxed, and emphasize practicality.

lMale user: Can focus on financial management, information, and tool content. Copywriting is direct, profitable, and emphasizes logic.

lUsers aged 18-24: Like interactive, interesting and highly formal content, such as red envelope lottery and emoticon style advertising.

lUsers over 35 years old: Prefer practical and clear service-oriented information, such as discount reminders, card applications invitations, medical insurance notifications, etc.

A mass send becomes multiple groups of sending each group, and each group is sent to the most suitable user, so that the content will be truly read and responded.

 

Filtering process: From importing numbers to exporting group sending lists

Using the Digital Planet Platform for Gender and Age Screening is very simple:

Upload number data

lPrepare the mobile phone number list, support multiple country number segments, and the system automatically cleanses abnormal numbers

lFile format supportMainstream formats such as Excel and CSV

Select the tag identification module

lCheck in the test item"Gender Tags" and "Age Tags", you can also select "Open Status" and "Activity" on top of the list

Start filtering test

lThe system processes all numbers in parallel, quickly completes labeling, and tens of thousands of pieces of data only take a few minutes.

Export tag grouping data

lExport different population packages according to the filter results, such asThe group "Female +25-34+High Active" and the group "Male +35+Medium Active" are directly used for mass transmission system import

 

Case practice: Use tag filtering to improve mass distribution effectiveness

Case1: Female users send discount information in groups

A daily chemical brand targetsFemale users aged 25-34 pushed coupons, screened out this group and targeted WhatsApp mass posts, with a click rate increased from 1.6% to 5.9%, and the conversion rate increased by nearly 3 times.

Case2: Insurance companies recommend mass term insurance for middle-aged men

Filter out"Male + over 35 years old + highly active" people have pushed a periodic insurance plan, and the number of mass sending has decreased by 40%, but the number of contracted users has increased by more than 20%.

Case3: Educational institutions push open class invitations to young people

Positioning by age screeningUser groups aged 18-24, group interactive copywriting is sent, guided to enter the video course platform, and the number of applicants increased by 132% within 7 days.

 

The more accurate the tag combination, the more obvious the mass conversion

The Digital Planet Platform not only recognizes a single tag, but also supports combined filtering. Common combinations include:

lfemale+High active + Activate WhatsApp

l25-34 years old + male + activated + recently logged in

l35++activated+low active (can be used to activate copywriting)

These combination tags are yours"Distribute keys." You can design exclusive copywriting, exclusive time periods and exclusive strategies for each subdivided user group to improve the hit rate of each mass sender.

 

Want to letWhatsApp mass sending becomes efficient not by increasing the number of sending, but by screening out "people suitable for receiving". Gender and age label filtering is your first step toward achieving this goal.

The Digital Planet Number Screening and Detection Platform helps you start with your mobile phone number, build a complete user portrait, label it well, manage it in a layered manner, and push it accurately. Rather than sending it blindlyIt is better to select 30,000 people to reach them accurately than to choose 100,000 people.

Before the next mass send, filter the tag list first. You will find that the number is less, but the effect is doubled.

 

Digital PlanetIt is a world-leading number screening platform that combinesGlobal mobile phone number segment selection, number generation, deduplication, comparison and other functions. It supports global customersBulk numbers from 236 countriesFiltering and testing services, currently supportedMore than 40 social and apps, such as:

whatsapp/line, twitter, facebook, Instagram, LinkedIn, Viber, zalo, Binance, signal, skype, DISCORD, Amazon, Microsoft, Truemoney, Snapchat, kakao, Wish, GoogleVoice, Botim, MoMo, TikTok, GCash, Fantuan, Airbnb, Cash, VKontakte, Band, Mint, Paytm, VNPay, Moj, DHL, Okx, MasterCard, ICICBank, Bybwait.

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

Platform providesSelf-sieve mode, sieve mode, fine-sieve mode and custom mode, to meet the needs of different users.

Its advantage lies in the integration of major social and applications around the world, providing one-stop, real-time and efficient number screening services to help you achieve global digital development.

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