TG-Staff Customer Service System Best Practices: 7-Day Quick-Start Checklist

Building the best Telegram customer service system with TG-Staff may sound complex, but by following the steps, you can go live in a week. This checklist covers key stages from registration, agent configuration, session routing to content moderation, helping you avoid common pitfalls and quickly implement a professional customer service system. Whether you are a cross-border team, Web3 project, or community operator, you can follow it directly.

Day 1: Registration and Project Initialization—Laying the Foundation for Your Customer Service System

The core of Day 1 is to complete TG-Staff account registration, bind a Bot, and perform basic configuration. Once this step is solid, all subsequent features will have a solid foundation.

Registration and 3-Day Free Trial

Visit the TG-Staff official website or go directly to the application console, register with your email, and you will automatically receive a 3-day free trial. No payment method is required, allowing you to experience all features with zero barriers.

Key Action: Immediately after registration, check your trial status and expiration time on the ‘My Subscription’ page to avoid mid-term expiration causing configuration interruptions.

Create Your First Bot Project and Bind the Telegram Bot Token

1. Open Telegram, find BotFather, create or select an existing Bot, and copy its Token (format like 123456:ABC-DEF1234ghIkl-zyx57W2v1u123ew11).
2. Go back to the TG-Staff console, click ‘Create Project’, enter a project name (e.g., ‘Main Customer Service Bot’), and paste the Token.
3. After saving, the system will automatically verify the Token validity and establish a Webhook connection.

Configure Bot Profile (Avatar, Name, Description) and Chat Background

TG-Staff allows you to edit the bot’s avatar, name, and description directly in the console without needing to switch to BotFather. Navigate to Project Settings → Bot Profile.

• Avatar & Name: We recommend aligning them with your brand so users immediately recognize the source when they see the bot.
• Description: Provide a brief explanation of the bot’s functionality, e.g., “Online customer service inquiries (Mon-Fri 9:00-18:00)”, which helps manage user expectations.
• Chat Background: The Standard plan supports solid-color backgrounds; the Pro plan allows switching between Telegram’s light and dark themes for visual consistency. We suggest Pro users choose a dark theme that matches their brand colors.

Days 2–3: Configure Agents and Team Collaboration – Get Your Support Team Ready

Agents are the operational layer of your customer service system. Over these two days, you need to invite team members, assign permissions, and ensure everyone is familiar with the Web portal.

Invite Agents and Set Project Access Scope

In the Agent Management section, click Invite Agent and enter the recipient’s email or TG-Staff username. The system will send an invitation link; once accepted, the agent can log into the Web portal.

Key Permission Settings:

• Each agent can be assigned independent accessible projects. If your team manages multiple bots simultaneously, you can restrict someone to handle conversations only for specific projects.
• We recommend role-based permissions: Team leads can access all projects and have configuration rights; frontline agents can only handle assigned conversations.

Understanding Agent Limits and Plan Restrictions

TG-Staff provides agent quotas based on your plan:

• Standard: 3 agents
• Pro: 5 agents
• For higher quotas, check the official pricing page

If your team exceeds the current quota, you need to upgrade your plan or optimize agent assignments. One agent account can handle multiple conversations simultaneously, so you don’t necessarily need a “one person per seat” approach—scheduling shifts can cover peak times.

Conversation Transfer and Private Notes (Pro)

When an agent cannot resolve a user’s issue, they can transfer the conversation to another agent or supervisor. Transfer logs are clear and auditable, preventing users from repeating their problems.

Private Notes (Pro): Agents can add notes visible only to themselves in the conversation sidebar, useful for recording to-dos or user traits (e.g., “This user prefers English replies; switch language proactively next time”). For collaborative teams, this is a practical feature to avoid information gaps.

Day 4: Set Up Conversation Routing and Routing Links – Automate Reception

Manually assigning conversations is inefficient, especially when inquiry volumes fluctuate. Day 4 focuses on letting the system automatically handle users.

Routing Rules: Round Robin vs. Online First

Configure rules under Project Settings → Conversation Routing:

Rule	Use Case	Description
Round Robin	Agents have balanced abilities, no priority needed	Polls authorized agents in order, distributing evenly
Online First	Agents have inconsistent online times, want efficient staffing	Prioritizes currently online agents; falls back to round robin when all are offline

Best Practice: Use “Round Robin” for small teams where agents are online simultaneously; use “Online First” for cross-timezone or part-time teams to avoid assigning conversations to offline agents.

Routing Links (Magic Links) and Ad Attribution

Routing links are short URLs under TG-Staff’s official domain (e.g., https://app.tg-staff.com/{code}) that automatically redirect users to your bot. Their key value lies in:

• Capturing visitor info: IP, browser type, source URL parameters.
• Ad attribution: Using different routing links in Google Ads, Facebook, or social media posts allows you to track user volumes from each channel.

Creation path: Marketing Tools → Routing Links → Generate new link. We recommend creating a unique link for each ad channel and annotating the source in URL parameters (e.g., ?utm_source=google).

Day 5: Build Automation Flows – Visual Command Flows and Broadcasts

Handle repetitive queries with automation to free up agent time. Day 5 focuses on the visual flow editor and message broadcasts.

Drag-and-Drop Flow Editor

Navigate to the Command Flows module and build bot interaction logic by dragging and dropping nodes. Common node types include:

• Welcome Message: Triggered when a user sends their first message.
• Menu: Displays button options to guide user choices.
• Conditional Logic: Jumps to different branches based on user input.
• Transfer to Human: Directs the user to an agent conversation upon clicking.

Bulk Message Broadcasting

Broadcast functionality is suitable for operational scenarios such as new product notifications, event announcements, and user follow-ups.

Steps:

1. Create a segment in “User Management” (e.g., “Active users in the last 30 days” or “Users registered via Channel A”).
2. Go to “Broadcast Message” → Select target segment → Edit message content (supports text + buttons).
3. Set send time: Avoid user rest hours (e.g., local nighttime).
4. Test before sending: Send to yourself or a test segment to confirm the message format is correct.

Notes: Broadcast frequency should not be too high (1-2 times per week is ideal) to avoid being blocked by users.

Day 6: Enable Auto-Translation and Content Risk Control (Pro) — Enhance Service and Compliance

Day 6 focuses on “language accessibility” and “compliance internal control,” two features that directly determine the professionalism of the customer service system.

Auto-Translation Configuration and Daily Quota Management

TG-Staff supports three translation engines:

• AI Translation: Available in the Standard plan, with a daily quota (specific limits can be found in the console).
• Google Professional Translation / DeepL Professional Translation: Available in the Pro plan, offering more stable translation quality suitable for business scenarios.

Configuration Path: “Project Settings” → “Auto Translation” → Enable and select engine. When an agent sends a message, they can choose “Translate and Send”; user messages can be automatically translated into the agent’s set language.

Quota Management: Translation pauses once the daily quota is exhausted and resets the next day. It is recommended to use AI Translation during off-peak hours and switch to Professional Translation during peak hours, especially for languages requiring high accuracy such as Japanese or German.

Content Risk Control: Risk Word Groups and Wallet Address Monitoring

Content risk control (internal control management) is a core feature of the Pro plan, especially suitable for scenarios like Web3, exchanges, and NFTs.

Configuration Steps:

1. Go to “Internal Control Management” → “Risk Word Groups” → Create a group (e.g., “Sensitive Payment Addresses”).
2. Add keywords: Can be full wallet addresses (TRC20/ERC20/BTC), address fragments, or specific terms.
3. Associate projects: Select the projects to monitor.
4. Set trigger actions: Pop-up for double confirmation or directly block sending.

When an agent attempts to send a message containing a risk word, the system will intercept it and display a pop-up warning. If the agent confirms sending, the record will still be kept in the audit log.

Viewing Trigger Records and Audit Logs

All risk control trigger events are recorded in “Trigger Records” and can be filtered by time, agent, and risk word group. The audit log includes: triggering agent, session ID, trigger time, risk word content, and whether the agent ultimately sent the message. This is an important basis for compliance review and team training.

Day 7: Acceptance and Optimization — Pre-Launch Checklist

On the last day, no configuration is done, only verification. Check each item below to ensure the system is stable before launch.

Final Checklist:

• Subscription and trial status confirmed: subscription not expired, plan features complete.
• Bot project bound with correct token, Webhook status set to “Connected”.
• All agent invitations completed, each agent logged in and tested reply function.
• Routing rules configured, test users correctly assigned to online agents.
• Routing links functional, clicking correctly redirects to Bot, visitor info traceable in dashboard.
• Auto-translation enabled, agents can translate and send messages normally.
• Content moderation risk phrases linked to project, test sending risk words blocked.
• User profiles (Pro) functional, able to view user history and tags.
• Broadcast messaging feature tested, segmentation accurate, messages error-free.
• Conversation transfer and private notes features working.

After completing the above checks, you can go live. It is recommended to review audit logs and conversation records daily for the first week after launch, and adjust routing rules or risk phrases promptly.

FAQ

Q: Will data be lost after the TG-Staff free trial ends?

A: No. After the 3-day trial expires, your project configurations, conversation records, and user data will be retained for 7 days. Renewing any subscription (Standard or Pro) restores access without needing to reconfigure.

Q: Can routing links (magic links) be used in Google Ads or Facebook ads?

A: Yes. Routing links are short links under the TG-Staff official domain, supporting capture of visitor IP, browser info, and URL parameters, making them suitable for ad campaign attribution. However, ensure your ad platform allows redirects to external links.

Q: Can content moderation monitor messages sent by users?

A: No. Content moderation (internal control) only monitors outbound messages sent by agents to prevent accidental or unauthorized sending of risky content, such as payment addresses. Messages sent by users are not monitored.

Q: Can one agent handle multiple conversations simultaneously?

A: Yes. TG-Staff’s multi-agent conversation feature allows an agent to handle multiple Telegram users simultaneously via the web portal, with conversations displayed in tabs that the agent can switch between.

Q: Does it support multilingual teams?

A: Yes. The control panel interface is in Chinese, but two-way chat messages between agents and users can be configured with auto-translation (AI translation or Google/DeepL professional translation), supporting multiple language pairs, suitable for cross-border customer service.

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Start building your TG-Staff customer service system now:

• Sign up for free trial
• Read full documentation
• Have questions? Contact support Bot: @tgstaff_robot