How to comply with group messaging after the Telegram customer service system is established: group strategy, frequency control and agent follow-up guide

After you build a Telegram customer service system, sending group messages is a common method to activate users, push notifications, or recall lost customers. However, if the mass sending strategy is inappropriate, at least users will complain and unsubscribe, or at worst, it will trigger Telegram platform risk control, causing the Bot to be restricted or even banned. This article will focus on the compliance operations of Telegram customer service mass messaging, explain in detail the grouping strategy, frequency control, and how agents can efficiently follow up user sessions after mass messaging, to help you reach customers safely and efficiently.

Why does the customer service system need built-in mass messaging capabilities?

Many teams split customer service and mass messaging into two sets of tools: Telegram Bot + agent backend for customer service, and an independent message push platform for mass messaging. This approach can easily lead to data fragmentation and user resentment.

Customer service mass messaging vs. marketing mass messaging: core scenario differences

The purposes and compliance requirements of the two are completely different. The following table will help you quickly distinguish:

Dimension	Customer service mass messaging (service notification)	Marketing mass messaging (promotion)
Purpose	Order status, account changes, service expiration reminders	Promotional activities, new product releases, brand exposure
Content	Notification information triggered or subscribed by the user	Commercial promotion without the user’s explicit consent
Frequency	Low frequency, sent on demand (such as once a week)	High frequency, maybe multiple messages per day
Compliance Requirements	Usually allowed by Telegram, subject to API restrictions	Easily judged as spam, requiring user active consent
User Expectation	Users expect this message, the response rate is high	Users may be disgusted, the unsubscribe rate and complaint rate are high

Customer service mass messaging should focus on service notifications rather than unbridled marketing promotions. A customer service system with built-in mass messaging capabilities allows you to complete the closed loop of “notification → reply → follow-up” in the same backend to avoid user data being scattered.

Unified management: Reduce tool switching and data fragmentation

Suppose that after you send a group message in tool A, the user replies to the bot of tool B, and the agent has to manually switch to tool B to view it - this is both inefficient and prone to message leakage. In platforms such as TG-Staff that integrate customer service and mass messaging, mass messaging tasks and agent sessions share the same user portrait and conversation records, and agents can directly receive all responses in the web console without switching tools.

Preparatory work before setting up mass distribution: user grouping and compliance review

Before mass posting, two things must be completed: User Grouping and Content Compliance Check. If you skip these steps, group messaging will most likely turn into harassment.

How to effectively segment users based on their behavior and portraits

Mass messaging without grouping is equivalent to “carpet bombing”, which is not only ineffective but also easy to annoy users. It is recommended to group according to the following dimensions:

• Activity: such as “Users who have interacted with the Bot in the past 7 days” vs “Silent users who have not interacted with the Bot for more than 30 days”
• Tags: Tag based on user portraits (such as “paid customers”, “inquired about refunds”, “interest category A”)
• Channel Source: Track which advertising or social media channel the user comes from through Diversion Link
• Last interaction time: Avoid sending the same content repeatedly to users who have just replied

Best Practice: First send service notification messages to “highly active + paid” users, and then gradually send recall messages to silent users. Before each group sending, check whether the grouping conditions exclude unsubscribed users.

Content risk control: use internal control function to intercept illegal messages

No matter how well the segmentation is done, the content itself may hit a minefield. Especially in Web3, exchanges, NFT and other scenarios, agents mistakenly sending sensitive words or encrypted wallet addresses may bring serious compliance risks.

TG-Staff’s Content Risk Control (Internal Control Management) function can help you automatically intercept illegal messages. You can create risk phrases in the console, such as “sensitive political words”, “abusive language” and “specific TRC20/ERC20/BTC address fragments”. When an agent enters a message in the group sending editor, the system will detect it in real time: after hitting a risk word, a pop-up window will ask for a second confirmation or directly block sending.

Practical Suggestion: In the group sending module, first enable content risk control, and then edit the message. This can block risks before the message is sent and avoid manual review and omissions.

Six steps of practical operation: Complete a compliance mass distribution in TG-Staff

The following steps are based on the TG-Staff console interface, assuming that you have completed user grouping and content risk control configurations.

1. Log in to the console and select the target project Enter app.tg-staff.com and select the Bot project you want to send in bulk (multi-project management is supported).

2. Enter the “Group Message” module and select “Send by Group” Find “Group Message” on the left menu, click “Create Mass Task”, and select “Send by Group”.

3. Set grouping conditions For example: “Users who haven’t responded in the past 7 days” + “Label contains ‘paid’”. The system will display the number of eligible people in real time.

4. Edit the message content and enable the “Content Risk Control” check Supports text, pictures, buttons and other formats. Check “Enable content risk control” and the system will automatically scan the content and a warning will pop up if there are any risky words.

5. Set sending time and frequency limit

   • Choose “Send Now” or “Send Scheduled” (accurate to the minute is supported).
   • Set “the same user can only receive 1 message every 3 days” or “send a maximum of 1 message per day” to avoid excessive exposure.

6. Confirm the preview before sending, or send the test version first It is recommended to send the test version to your own test account first, and confirm that the format and content are correct before sending it officially.

Agent follow-up after mass sending: from batch contact to manual acceptance

After the group message is sent, the user’s reply will directly enter the conversation queue of TG-Staff. How efficiently the agent handles these conversations determines the final effect of mass messaging.

• How does the agent view the conversation list after group sending In the Conversation module, all user responses are sorted by time. You can use the Source filter to specifically view conversations from bulk tasks.

• Utilize “online first” diversion rules to ensure immediate response In the project settings, set the offloading rule to “Online First”. When the user replies, the system will prioritize assigning the conversation to the currently online agent to avoid a backlog of messages.

• Use “User Portraits” to quickly understand user background Professional version users can see the user’s tags, historical session records, access sources and other portrait data in the session sidebar. The agent does not need to repeatedly ask for basic information and can go directly to the service topic.

Real Scenario: You sent an “Order Expiration Reminder” to 2,000 users, and 30 of them responded to the inquiry. These sessions automatically enter the “to be allocated” queue, agents A and B are online at the same time, and the system distributes the 30 sessions evenly according to the “online priority” rule. Agents all responded within 1 minute, and user satisfaction was significantly improved.

Bulk sending frequency and compliance red lines: avoid account bans and user complaints

In addition to the API limitations of the Telegram platform, you also need to proactively set up a “cooling off” and “unsubscribe” mechanism.

• Telegram restrictions on bot unsolicited messages

  • Maximum of 30 messages per second (stricter for the same chat_id).
  • The upper limit of the total number of Bot messages per day is dynamically evaluated by Telegram, but high-frequency group messages can easily trigger risk control.
  • It is recommended that no more than 5,000 people be sent in a single group message, and the interval between two group messages should be at least 24 hours.

• How to set up the “cooling off period” and “unsubscribe” mechanism

  • In the group sending task, check “The same user will only receive 1 message every N days”. This is the cooling off period.
  • Add the prompt “Reply ‘unsubscribe’ to no longer receive notifications” at the end of the group message. TG-Staff supports automatic processing of unsubscription logic through the command process.

• Use diversion links to track user sources and avoid repeated sending If you drive traffic through multiple channels (such as Twitter, Google Ads, Telegram groups), it is recommended to generate independent distribution links for each channel. This way, you can count which channels have the highest user response rates and avoid sending the same content to the same users repeatedly.

Mass messaging effect evaluation and optimization: What core indicators should we pay attention to?

Mass messaging is not the end, but the starting point. The following metrics can help you evaluate performance and iterate on your strategy:

• Open rate (click on diversion link): whether the user clicked a button or link in the message. Diversion links can count clicks and source channels.
• Reply Rate: Whether the user replied to the message. The higher the response rate, the more relevant the content is.
• Unsubscribe rate: whether the user has performed an unsubscribe operation. If the unsubscribe rate exceeds 5%, it means there is a problem with the grouping or content.
• Complaint Rate: Whether the user reported the message to Telegram. A complaint rate close to 0 is considered safe.

Optimization Suggestion: After each group sending, compare the response rates of different groups and different time periods. If the response rate for “silent users” is less than 1%, consider reducing the frequency of blasts to this group, or adjusting the type of content.

FAQ

**Q: Will group messages be judged as spam by Telegram? ** Answer: Yes. Please ensure that you obtain user consent (e.g. via the bot’s /start command) and strictly adhere to the rate limits of the Telegram Bot API. It is recommended that the bulk content be mainly service notifications (such as order status, account changes) and avoid high-frequency marketing content.

**Q: Does the group sending function of TG-Staff support scheduled sending? ** Answer: Supported. You can select “scheduled sending” when creating a group sending task and set a specific sending date and time. The system will automatically execute the sending at the specified time.

**Q: If a user replies to a group message, how does the agent automatically take over? ** Answer: After the user replies, the conversation will automatically enter the “pending assignment” queue of TG-Staff. If you configure the “online priority” offloading rule, the system will give priority to allocating sessions to the currently online agents to achieve second-level response.

**Q: Can I recall a sent group message? ** A: Telegram Bot does not support recalling sent messages. Therefore, please be sure to preview the content carefully before sending, and it is recommended to send a beta version to test users for verification first.

**Q: What types of risk words can the content risk control function identify? ** Answer: Supports custom risk word grouping, such as: sensitive political words, abusive language, specific cryptocurrency wallet addresses (such as TRC20/ERC20/BTC addresses or address fragments). Suitable for compliance and internal control in Web3, exchanges, NFT and other scenarios.

---

Experience TG-Staff’s mass messaging and agent collaboration functions now: Sign up for [3-day free trial] (https://app.tg-staff.com/), no credit card required. If you need help, check the Document Center or contact the customer service Bot @tgstaff_robot.