How to Send Group Messages by Tags in TG Bot? Complete Guide to TG-Staff User Profiling and Segmented Broadcasting

Running a Telegram Bot community or customer service system, what’s the worst fear? Not that users are inactive, but that you spend time writing an event notification, send it out, and half the users feel disturbed and block you, while the other half ignore it because the message is irrelevant. Indiscriminate mass messaging is slowly eroding your user trust.

Truly effective operations are about sending the right message to the right person. That’s the core value of tg bot group messaging by segments. This article will guide you step by step through TG-Staff’s tagging system, user profiling, and broadcasting features to upgrade from “broadcast” to “precision targeting.”

Why Do You Need “Segmentation” for Group Messages? From Broadcast to Precision Targeting

Suppose you run a cross-border e-commerce Telegram Bot with users from ad campaigns, customer referrals, and self-searches. Sending the same “new product launch” notification to all users creates two problems:

High Disturbance Rate: New users who just came in via ads may not have completed their first order yet, but they’re flooded with promotional messages.
Low Conversion Rate: Returning customers might care more about logistics updates or exclusive discounts than new product intros.

The value of segmented broadcasting is that you can divide users into different groups based on their behavior, source, activity, etc., and send customized messages to each group. For example:

For “ad source, not yet ordered” users → send first-order coupons
For “VIP, active in last 7 days” users → send priority shipping notifications
For “inactive for 30 days” users → send comeback rewards

This improves message open rates and reduces user churn. TG-Staff’s broadcast module is designed for such scenarios, and with its tagging and user profiling features, you can easily achieve tg bot group messaging by segments.

Pre-Broadcast Preparation: Tag System and User Profiling

Before starting a broadcast, you need to set up user tags and profiles. It’s like organizing your address book—without classification, broadcasting is just blind firing.

Creating and Assigning Tags

In the TG-Staff console, navigate to “User Management” in the left menu to create custom tags. Tag names should be clear and countable, for example:

User attributes: VIP, 新用户, 已弃单
Behavior markers: 点击过链接, 参与过活动, 投诉过客服
Source markers: 广告_Google, 广告_Twitter, 老客推荐

There are two ways to assign tags:

Manual Tagging: In the chat window, when talking to a user, click the “Tag” icon next to their avatar to select an existing tag or create a new one. This is suitable for customer service agents to tag users based on their descriptions during service.
Automatic Tagging: Using TG-Staff’s split link feature, you can automatically capture source parameters (e.g., utm_source=google) when a user clicks a link, and assign the corresponding tag to that user. For example, you can use https://app.tg-staff.com/{code}?utm_source=google links in ad campaigns, and users clicking them will be automatically tagged as “ad_Google”.

User Profile Data Dimensions

The Pro version provides richer user profile data, which is very useful for segmentation filtering:

Data Dimension	Description	Segmentation Use Case
First conversation time	When the user first interacted with the bot	Distinguish “new users” from “old users”
Last active time	When the user last sent a message	Filter “active users” or “churned users”
Conversation count	Total number of conversations with the bot	Identify “high-interaction users”
Language preference	User’s commonly used language (auto-detected from messages)	Segment by language for multilingual broadcasts
Source channel	Source parameter from split link entry	Ad attribution and segmentation

These data points are available as filter criteria in the broadcast interface, helping you precisely target your audience.

Filtering Users by Tags and Profiles: Core Operations for Segmented Broadcasting

Once your tag system and user profiles are in place, you can apply segmentation filters in TG-Staff’s broadcast module. Follow these steps:

Enter the Broadcast Module: Click “Message Broadcast” in the left menu of the console.
Select Target Project: If you manage multiple bots, choose the project to broadcast to.
Set Filter Criteria: In the “Filter Users” area, you can combine multiple conditions. TG-Staff supports “AND/OR” logic for complex segmentation needs.

For example, to filter “VIP users who haven’t been active in the last 7 days” to send comeback rewards, set:
- Condition 1: Tag → Contains → VIP
- Condition 2: Last active time → Less than → 7天前
- Logic: All conditions must be met (AND)
To filter “all users from ad sources,” set:
- Condition 1: Tag → Contains → 广告_Google
- Or Condition 2: Tag → Contains → 广告_Twitter
- Logic: Any condition met (OR)
Preview User List: Click “Preview Users” to see the filtered results and confirm it’s your target group.

Tip

The filter conditions support “AND/OR” logic. It is recommended to test the segmentation results with a small number of users first, and then send in bulk after confirming accuracy. For example, you can first filter 10-20 users and manually send a test message to verify the tag accuracy.

Configure Bulk Message Content and Sending Strategy

After filtering target users, the next step is to configure message content and sending strategy.

Best Practices for Message Content

TG-Staff bulk messaging supports multiple message types: plain text, rich media (image + text), inline keyboard buttons, files, etc. When editing a message, you can use variables for personalization:

{用户昵称} → Automatically replaced with the user’s Telegram nickname
{标签名} → Automatically replaced with a tag name owned by the user

Example Message:

嗨，{用户昵称}！感谢你一直以来的支持。作为我们的 VIP 用户，我们为你准备了专属折扣码：VIP2024。
点击下方按钮领取优惠券 → [立即领取](https://example.com/vip-coupon)

Compliance Reminder: Avoid including sensitive words, false advertising, or content that encourages sharing. TG-Staff Pro provides a Content Risk Control feature that automatically detects risky words before sending, helping you mitigate operational risks.

Scheduled Sending and Batch Strategy

In the sending settings, you can choose:

Send Now: Suitable for urgent notifications or small-scale testing.
Scheduled Send: Specify a future time for sending. If your users are distributed across multiple time zones, we recommend sending during active hours in the target time zone, such as 10:00-12:00 or 20:00-22:00 UTC+8.
Batch Send: For large user volumes (e.g., >1000 users), send in 2-3 batches with a 5-10 minute interval between batches. This helps avoid Telegram’s rate limits and reduces instantaneous server load.

Post-Broadcast Effect Tracking and Tag Iteration

Broadcasting is not the end, but the starting point for the next round of segmentation iteration. After TG-Staff completes a broadcast, you can view the status of each message in the “Send Records”:

Status	Description	Next Steps
Success	Message sent successfully	Consider adding a “Notified” tag to the user
Failed	Message failed (e.g., user blocked the bot)	Recommend cleaning up such users periodically
Undelivered	Telegram server did not confirm delivery	Retry in subsequent broadcasts

Best Practices

After each mass send, it is recommended to automatically update labels based on user interaction behavior, forming a segmented closed loop. For example:

After sending, add the label “Received activity notification” to all recipients.
If a user clicks a link in the message, automatically mark them with “Clicked activity link” via a redirect link.
If a user replies to the message, mark them as “Interested in the activity”. This way, for the next mass send, you can target users who “clicked but didn’t purchase” with reminder messages, continuously optimizing conversions.

Through this iteration, your tg bot broadcast grouping will become increasingly precise, making every message users receive more valuable.

Frequently Asked Questions

Q: Is the broadcast feature supported in all TG-Staff plans? A: The bulk message broadcast feature is supported in both Standard and Pro plans. However, the Pro plan offers unlimited broadcast quotas, while the Standard plan has daily limits. Please refer to the official pricing page for details.

Q: Can a user have multiple tags when grouping by tags? A: Yes. A user can be assigned multiple tags. When filtering, you can choose the logic of “include any tag” or “include all tags” to meet complex grouping needs.

Q: Can personalized information like user nicknames be included in broadcast messages? A: Yes. In the message editor, you can insert variables such as {用户昵称} and {标签名}, which will be automatically replaced with the corresponding user’s information when sending.

Q: How can I know which users have opened the message after broadcasting? A: Currently, TG-Staff broadcast provides sending status statistics (success/failure/undelivered) but does not support message open rate tracking. It is recommended to embed links with UTM parameters in your messages and analyze click behavior through redirect link attribution.

Q: Can I test the broadcast feature during the free trial? A: Yes. After registration, you can enjoy a 3-day free trial. During this period, you can use the Standard plan features to test broadcasting, but the broadcast quota is the same as the Standard plan.

Conclusion and Next Steps

From indiscriminate broadcasting to precise targeted messaging based on tags and profiles, tg bot broadcast grouping is not only a technical improvement but also an upgrade in operational thinking. TG-Staff provides a complete toolchain from tag management, user profiles, group filtering to broadcast tracking, helping you achieve higher user response with fewer message touches.

If you haven’t tried it yet, now is the best time:

Visit the TG-Staff official website to register and enjoy a 3-day free trial.
Create your first tag system in the console and try using redirect links to automatically tag user sources.
Open the “Message Broadcast” module and experience the complete process of group broadcasting by tags and profiles.

If you encounter any issues during operation, feel free to contact the official customer service bot @tgstaff_robot or refer to the official documentation for detailed configuration guides.

How to Send Mass Messages by Tags in TG Bot? Complete Guide to TG-Staff User Profiling and Group Messaging

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