After the new product is released via Telegram, how can we use customer service plans to deal with the inquiry peak?

The launch of new products is the most nervous and exciting moment for every operations team. You carefully curate Telegram blasts to reach thousands of users instantly. But then, the amount of backend inquiries poured in like an avalanche: users asked about order status, product usage, discount details… If customer service does not respond in time, not only will conversions be missed, but it may also lead to user dissatisfaction or even loss. The success of Telegram group messaging for new product releases lies not only in the sending of messages, but also in the customer service plan after the messages are reached.

This article will break down the entire process from group planning before mass distribution, to automatic diversion and manual collaboration after mass distribution, to effect review, to help you smoothly survive the traffic peak during product launch, reservation or customer service peak periods.

Why is it easy to trigger an avalanche of customer service when new products are launched on Telegram?

Many teams focus all their energy on mass copywriting and sending nodes, but ignore the ability to undertake “after sending”. When a new product is launched and you notify users via Telegram, common scenarios include:

• Instantaneous surge in consultation volume: A large number of users clicked on the Bot menu and sent messages within the same time period. Frequently asked questions such as “When will it be shipped?” “What is the price?” “What are the steps?”
• Customer service response lag: Manual customer service cannot handle hundreds of concurrent messages at the same time, causing user waiting time to extend from minutes to hours. Users ran out of patience and closed the conversation directly, or even canceled the order.
• Multi-language issues: If your product is aimed at cross-border users, the inquiries received after mass distribution may include English, Japanese, Spanish and other languages. Without translation tools, customer service is basically helpless.
• High-value users are drowned: Inquiries from VIP users and pre-order users are mixed with inquiries from ordinary users, without prioritization, resulting in a decline in core user service experience.

For a successful Telegram mass messaging new product release, response strategies must be planned in advance for the three stages of “before mass messaging”, “first minute after mass messaging” and “peak consultation period”.

Before mass sending: How to plan Telegram mass sending content and group grouping strategy?

Avoid “one-pot” style mass distribution. Accurate grouping can not only improve the conversion rate, but also effectively reduce the amount of invalid consultations.

Grouping according to user behavior: precise contact to reduce invalid consultation

Before launching a group message, you need to divide users into groups based on their interaction history with the Bot. For example:

• Active Users: Users who have recently clicked on the Bot menu and sent messages. They know the product well, and new product notifications can focus on feature upgrades or limited-time offers.
• New Subscribers: Users who have just followed Bot. They may not be familiar with the product yet, so bulk content should include a basic introduction and guiding links.
• dormant users: Users who have not interacted for more than 30 days. You can send a wake-up message like “We are back” with new product highlights instead of detailed parameters.
• Historical purchasing users: can send exclusive repurchase discount codes.

Practical Suggestion: In the user management module of TG-Staff, you can label different groups (such as “Active-Old Users”, “New Followers-To Be Converted”), and then directly select the corresponding labels to send to groups. This avoids sending the same content to all users and reduces irrelevant inquiries.

Key elements of bulk copywriting: advance customer service entrance and frequently asked questions

Group messaging itself is the best “pressure reducing valve”. Embedding the following elements in your copy can guide users to help themselves:

1. Bot shortcut button: Below the group message, set buttons such as “View new product details”, “FAQ” and “Contact customer service”. After the user clicks the “FAQ” button, it jumps directly to the automatic reply process.
2. FAQ link: Attach a document link (such as https://docs.tg-staff.com/) in the copy, explaining that “the answers to frequently asked questions are here, no need to wait for manual labor”.
3. Clear expectations: Add “If you have any questions, the Bot will automatically reply to basic questions, and customer service for complex questions will respond within 10 minutes” at the end of the message to manage user expectations.

The first minute after mass sending: How to separate the automatic reply and command process?

1-5 minutes after a mass message is sent is when inquiries peak. At this time, manual customer service cannot respond to all users immediately and must rely on automated processes for diversion.

Building steps:

• Portal settings: Users click the “FAQ” button in the group message, or directly send the “new product” keyword to the Bot.
• Process Node:
  • Node 1: Send welcome message + menu (“Please select the issues you are concerned about: 1. Price 2. Shipping 3. Help”).
  • Node 2: The user clicks “Price”, and the automatic reply is: “The initial price of the new product is $29.99, the first 100 users will enjoy a 20% discount, click [purchase link]”.
  • Node 3: The user clicks “Ship”, and the automatic reply is: “It is expected to be shipped in the order of the order starting from
• Transfer to manual node: Automatically transfer the conversation to the web agent at the end of the process or when the user enters “manual”.

In this way, 80% of basic problems are solved on the Bot side, and human customer service only needs to deal with the remaining 20% ​​of complex problems.

Peak consultation period: How can real-time two-way chat and automatic translation work together to improve efficiency?

When automated processes cannot meet all needs, human customer service requires tools to work efficiently.

Automatic translation: breaking language barriers for cross-border new product launches

If your new product is aimed at global users, the inquiries received after mass distribution may come in a variety of languages. TG-Staff’s automatic translation function solves this pain point.

• Standard Edition: Includes AI translation to meet most daily communication needs.
• Professional Edition: Additional support for Google professional translation and DeepL professional translation, suitable for business scenarios that require higher translation accuracy.

Workflow: Foreign language messages received by customer service on the Web will be automatically translated into Chinese. After the customer replies in Chinese, the message will be automatically translated into the user’s language and sent. There is no need to switch translation software during the entire process, and the response speed is increased by at least 3 times.

User portraits and tags: Prioritize high-value customers

In a flood of inquiries, not all users are equally important. You need to quickly identify and prioritize high-value users.

• User Portraits: The professional version provides user portraits, including historical purchase records, interaction frequency, user sources, etc. When a VIP user sends a message, the agent interface will display the “VIP Customer” label to remind you to process it first.
• Session pinning and labeling: Customer service can pin conversations of important users to the top and label them with “pre-order users”, “suspected BUG”, etc. to facilitate team collaboration and follow-up.

Review of mass distribution effects: How can data statistics be used to optimize the next release?

After the new product release is over, review is the key to improving the effectiveness of the next Telegram mass new product release.

Core data to pay attention to:

• Group open rate: Which groups have the highest open rate? You can get priority next time.
• Inquiry Conversion Rate: The proportion of users from Bot consultation to final purchase.
• Customer Service Response Time: Is the average response time within the target range? If it is too long, you need to add automation nodes or adjust the clustering strategy.
• Frequently Asked Questions Statistics: Which questions have been asked the most? Next time, you can advance these questions to the first option on the menu, or write them directly into the mass copy.

Frequently Asked Questions (FAQ)

The number of inquiries after mass mailing is too large. Is the free version enough?

The free trial provides 3 days of fully functional experience, suitable for testing before official release. However, as we enter the peak consultation period, it is recommended to upgrade to the Standard or Professional Edition**. The Standard Edition (approximately 8.99/month) is suitable for small teams; the Professional Edition (approximately 16.99/month) provides unlimited translation quota, unlimited group sending and user portrait functions, and is more suitable for medium and large teams to cope with traffic peaks. Please see the official website package page for specific prices.

How to avoid user complaints about “harassment group posting”?

• Control Frequency: It is recommended that new product launches be sent in bulk no more than 2 times a month.
• Provide unsubscribe option: Set an “unsubscribe” button or command (such as /unsubscribe) in the group message. After the user unsubscribes, they should be automatically removed from the group and no longer receive subsequent group messages.
• Broadcast: Don’t send the same content to all users. Only send to users who may be interested.

Summary: From mass distribution to acceptance, what preparations are needed for a successful new product launch?

A smooth Telegram group messaging for new product releases is by no means “sending the message and then it’s done”. It requires:

1. Before mass sending: Accurately group users based on their behavior, and embed FAQ and Bot quick access in the copy.
2. After mass dispatch: Basic issues are automatically triaged through the visual command process, and manual customer service efficiently handles complex inquiries with the help of real-time chat, automatic translation and user portraits.
3. Review: Use data statistics to optimize grouping strategies and process content.

Tool selection is crucial. TG-Staff integrates group messaging, automatic processes, real-time chat, automatic translation, user portraits and other functions into a web console to help teams reduce the need to switch between multiple tools and focus on serving users.

If your team is preparing for your next product launch or booking an event, try planning ahead. You can now register for a 3-day free trial of TG-Staff (https://app.tg-staff.com/), and check the documentation (https://docs.tg-staff.com/) for more process building tutorials. If you have any questions, you can directly contact the customer service Bot: @tgstaff_robot.