How to automatically classify users attracted by advertisements? WhatsApp tag management skills
Anyone who has used WhatsApp to attract fans knows that attracting traffic is only the first step. The real difficulty lies in: how to manage these users?When you acquire hundreds of new WhatsApp customers every day through Facebook ads, TikTok videos, short link jumps, etc., if you still use "chat history + memory" to distinguish them, it will only become more and more confusing. The advertising budget is burning, and customers are joining in, but you have no idea who has high intention, who is a potential conversion, and who is a useless addition...The key to solving this problem is to label users.
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Why is it necessary to classify users after traffic generation?
Not classifying is like "casting a net to catch powder" but never "selecting fish". The final result is:
l High potential customers are drowning in messages and no one follows up
l Customer service doesn’t know who should respond first and what content to send
l Mass messages are sent randomly, and users receive irrelevant information, which causes disgust
l Active customers do not continue to operate, and the churn rate is extremely high in the long run
However, as long as customers are labeled with "source, interest, and behavior" in a timely manner after being attracted, all problems can be gradually solved.
Tag management = fan acquisition efficiency × conversion quality × long-term value of private domain.
What types of WhatsApp labels can be divided into?
A good labeling system can help you quickly identify key customers from the "pile of fans", guide precise interactions, and save communication costs.
The following are common label dimensions, which are recommended to be used in combination:
✅Source tag
l Facebook advertising traffic
l TikTok organic traffic
l Event-specific short link
l Jump from group to private chat
Used to determine which channel the customer came from, so as to facilitate tracking of advertising effects
✅Regional tags
l Indonesian customers
l Vietnamese customers
l Philippines Customers
l Malaysia Customers
Customers in different countries receive information in different ways, and the language versions should also be differentiated.
✅Intent tag
l Inquiry but no order
l Comparing products
l Transaction Customers
l After-sales customers
The foundation of customer lifecycle management, making it easier for customer service to set priorities
✅Product /interest tags
l Interested in: Course services
l Interested in: Physical products
l Follow promotions
l Like the video content
Used to personalize push content and increase click-through rate and purchase rate
✅Activity Tags
l Active chat customers
l Forwarded content
l Unread for more than 48 hours
l Group message has been opened
Used to filter silent users or secondary conversion targets that need to be activated
fbsee: An automated tag management system that adapts to the WhatsApp fan acquisition process
fbsee is a social platform management tool specially designed for fan merchants and cross-border marketing scenarios . Its built-in "label system" can perfectly cooperate with WhatsApp's fan-acquisition process to achieve "automatic identification + automatic classification + automatic operation".
fbsee tag management core functions:
✅Automatic labeling
l When customers add through different advertising short links, the system automatically adds a "source tag"
l Automatically identify the user's region based on the country code/IP segment and add a "country tag"
l Keywords sent by customers for the first time, such as "price" and "activity", can trigger "interest tags"
✅Customized label system
l Support unlimited tag types
l You can set the color, name, remarks, and group
l Supports multi-label overlay, modification, merging, and batch management
✅Tag + quick reply linkage
l Customers with different labels can receive different welcome messages/product introduction templates
l For example: Indonesian customers receive the Bahasa Indonesia template, and promotional customers receive the discount link template
✅Tag + group messaging
l When sending group messages, you can filter customers with a certain label to push.
l You can set a combination tag of "language = Thai & activity = high" to accurately send content to groups
l Reduce invalid harassment and increase interaction rate
✅Label + data report linkage
l You can view the percentage of new customer tags added every day
l Which channel has high customer intention and high conversion rate? The system will automatically count
Practical process: How to use tags to manage WhatsApp traffic?
Step 1: Design the label framework
l Initially set labels based on the four dimensions of "origin + country + intention + product"
l Example: Facebook Ads - Philippines - Course Interest - No Orders Placed
Step 2: Set the short link binding tag
l When placing an ad, use a different short link for each creative/landing page
l In fbsee, bind these short links to tags, such as "from FB ad A = tag A"
Step 3: Automatic classification after adding customers
l The system identifies the customer's source, language, keywords and tags them
l Customer service does not need to manually classify, just check the label to determine the customer status
Step 4: Configure automatic reply content based on tags
l For example, "English customers" automatically receive an English welcome message
l “High-intent customers” receive a coupon link
l "Course-interested customers" receive course introduction information
Step 5: Send content regularly by tag
l Active customers: Send holiday promotions
l Cold customers: send activation reminders
l Purchased customers: Send new products or after-sales satisfaction surveys
Case reference: How an advertising plan combines tags to improve conversion
You run a set of WhatsApp ads on Facebook, targeting Vietnam, promoting an online course.
The process is as follows:
1. Create a short link on fbsee and set the tag "Facebook Course Ads-Vietnam"
2. After the customer clicks on the ad and adds you to WhatsApp, the system automatically recognizes the language as Vietnamese and tags it with the language tag "Vietnamese"
3. The customer sends the keyword "price", and the system adds the tag "course interest"
4. The system immediately pushes the Vietnamese course introduction template, with the registration link attached
5. For users who have not converted within three days, a "limited time discount reminder" will be sent to all users.
6. All users with the "Course Interest + Not Purchased" tag will automatically be added to the next event reminder list
After going through this whole process, you not only attract customers, but also promote conversions more accurately.
Conclusion
When doing advertising to attract traffic, you should not only look at the "number of fans", but also look at "how many followers + how many conversions".
Label management is the bridge connecting "traffic" and "results".
If you are still taking notes manually and categorizing customers based on impressions, it’s time to try a systematic tag management solution.
With fbsee's automatic tagging system, you can identify high-value customers more quickly, communicate accurately, and operate over the long term, truly turning fans into orders.
