Sign Up
The success of WhatsApp group messaging largely depends on whether you can “talk to people.” If all users receive the same content, regardless of gender, age, or behavioral preferences, the result will be messages being ignored, links not being clicked, and even accounts being complained. In order to improve the efficiency of mass messaging, user stratification must be done in the early stage, andFilter by gender and age tags, is the most effective step before mass sending. This article will combine the Digital Planet number screening and detection platform to explain how to identify gender and age in advance, and establish an efficient grouping strategy based on these tags.
Whether the group message is targeted to the right people is more important than how many people you send it to.
Many companies or operators are carrying outWhen sending WhatsApp group messages, you will fall into a misunderstanding: thinking that the more data, the better the results will be. In fact, we found:
lThousands of messages, not many are actually opened
lThe link click rate is low and the advertising images are ignored.
lIf you send a mass message at once, not only will your conversion rate be poor, but your account may also be banned due to user distaste.
This is due to the lack of content in group postings"User matching". A 25-year-old man and a 45-year-old woman have completely different interests in content. They will naturally not respond to the same message.
Therefore, before mass distribution, the first step is not to write copy;Confirm who you want to send to. User gender and age are the most basic but most effective hierarchical dimensions.
Digital Planet platform supports gender+Multi-label filtering by age
In order to help marketers filter and classify in advanceWhatsApp target group, the Digital Planet number screening and detection platform provides a complete tag identification system. The platform can automatically tag mobile phone numbers with gender and age through behavioral characteristics, external information and data matching.
Supported tags include:
lgender label:male/Female/Unclear yet
lAge tags:18-24, 25-34, 35-44, 45 and above are commonly used layers
lOpen status label: Is it enabled?WhatsApp
lactive tags: Whether it is a highly active user
lCombined label output:likeA crowd package like "Female + 25-34 + Opened + Highly Active"
Through these tags, you can no longer blindly advertise, but accurately reach the target group based on portraits.
Mass messaging strategy optimization: Different users have different copywriting
After completing the gender and age tag filtering, the group sending strategy can be"Group messaging to all members" was upgraded to "mass messaging in groups". Specifically, you can do this:
lFemale users: More suitable for receiving emotional, shopping, and lifestyle content. The copywriting should be emotional, relaxed, and emphasize practicality.
lMale users: Can focus on financial management, information, and tools content. The copywriting is direct, talks about benefits, and emphasizes logic.
lUsers aged 18-24: Like interactive, interesting and formal content, such as red envelope draws and emoticon-style advertisements.
lUsers over 35 years old: Prefer practical and clear service-oriented information, such as discount reminders, card application invitations, medical insurance notifications, etc.
One mass message becomes multiple groups, and each group is sent to the most suitable users, so that the content will be truly read and responded to.
Screening process: from importing numbers to exporting group sending lists
Using the Digital Planet platform for gender and age screening, the process is very simple:
Upload number data
lPrepare a list of mobile phone numbers, support multiple country number ranges, and the system will automatically clear abnormal numbers
lFile format supportExcel, CSV and other mainstream formats
Select tag recognition module
lCheck the box in the test item"Gender tag" and "age tag" can also be superimposed to select "activation status" and "activity level"
Start screening test
lThe system processes all numbers in parallel and quickly completes labeling. It only takes a few minutes for tens of thousands of data
Export label grouped data
lExport different crowd packages based on the filtering results, such as"Female + 25-34 + high activity" group, "Male + 35 + medium activity" group, directly used for importing into the group sending system
Case practice: Use tag filtering to improve the effectiveness of mass messaging
Case1: Female users send discount information to groups
A certain daily chemical brand targetsThe female user group aged 25-34 pushed coupons, and after screening this group, targeted WhatsApp mass distribution was carried out. The click-through rate increased from 1.6% to 5.9%, and the conversion rate increased by nearly 3 times.
Case2: Insurance companies recommend term insurance to middle-aged men.
filter outFor the "men + 35 years old and above + highly active" group, regular insurance plans were pushed, and the number of group sales dropped by 40%, but the number of contracted users increased by more than 20%.
Case3: Educational institutions push open class invitations to young people
Filter targeting by ageFor the user group aged 18-24, the group sent interactive copywriting to guide them into the video course platform, and the number of signups increased by 132% within 7 days.
The more precise the tag combination is, the more obvious the mass conversion will be.
The Digital Planet platform can not only identify single tags, but also supports combination screening. Common combinations include:
lfemale+High activity+Open WhatsApp
l25-34 years old + male + already activated + recently logged in
lOver 35 years old + already activated + low activity (can be used to activate copywriting)
These combined tags are yours"Distribute Keys". You can design exclusive copywriting, exclusive time periods, and exclusive strategies for each segmented user group to increase the hit rate of each mass message.
want toWhatsApp group messaging becomes efficient not by increasing the number of messages sent, but by screening out “people suitable to receive”. Gender and age tag screening is your first step towards achieving this goal.
The Digital Planet number screening and detection platform helps you build a complete user portrait starting from the mobile phone number, label it, manage it in layers, and push it accurately. Instead of sending it blindlyInstead of 100,000 people, it is better to select 30,000 people to reach them accurately.
Before the next group send, screen the tag list first. You will find that with fewer numbers, the effect is doubled.
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:
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.
Platform providesSelf-screening mode, generation screening mode, fine screening mode and customized mode, to meet the needs of different users.
Its advantage lies in integrating major social networking and applications around the world, providing one-stop, real-time and efficient number screening services to help you achieve global digital development.
You can find it on the official channelt.me/xingqiuproGet more information and verify the identity of business personnel through the official website. official businesstelegram:@xq966
(Warm reminder: When searching for the official customer service number on Telegram, be sure to look for the username.xq966), you can also verify it through the official website personnel:https://www.xingqiu.pro/check.html, confirm whether the business contacting you is a planet official
数҈字҈星҈球҈͏
