No More Panic During Marketing Campaign Peaks: Solve Queuing Problems with Telegram Peak Multi-Agent and Diversion Rules

Marketing campaigns (airdrops, promotions, new product launches) that cause a surge in user inquiries are every Telegram operations team’s nightmare. When users flood in, the single-bot single-agent model collapses instantly—messages pile up, users wait for long periods without a reply, and ultimately many potential customers are lost during the wait, with negative feedback even spreading to the community. This article focuses on the practical strategies of Telegram Peak Multi-Agent, explaining in detail how to transform “queue waiting” into “automatic assignment and efficient handling” through session diversion, agent collaboration, and diversion links, helping teams stabilize conversion rates and reputation during campaign peaks.

Customer Service Dilemmas During Campaign Peaks: Why Do Users Always Get Lost in the Queue?

The essence of a marketing campaign is to create instant traffic. When users enter a Telegram Bot via an ad link or community QR code, they expect an immediate response. However, most teams initially configure a “single-person bot management”—which means:

• Unlimited message queue: All user messages pour into the same conversation window, and the agent can only reply manually one by one, causing waiting times for later users to grow exponentially.
• Uncontrollable response times: An agent’s maximum processing speed is about 1-2 simple questions per minute. If 50 users flood in within 10 minutes during peak hours, the last user may wait over 20 minutes.
• Negative emotion spreads: Users repeatedly send messages like “Anyone there?” or “Why so slow?” during waiting, which other users see, increasing anxiety and even leading to direct group exits or order cancellations.

Pain Points from “Single Person Struggle” to “Multi-Agent Collaboration”

When teams realize they need to add more staff, new problems arise: How to have multiple agents handle conversations on the same bot simultaneously? The traditional approach is “shared account”—multiple people log into the same bot management backend. This leads to three typical confusions:

1. Session conflicts: Two agents reply to the same user at the same time, and the user receives two different messages, resulting in a poor experience.
2. Duplicate replies: Agent A replies to User A, but Agent B doesn’t know and replies again, wasting manpower.
3. Uneven distribution: All agents pick easy questions to answer, leaving complex questions unattended, or new agents are overwhelmed by a large number of questions.

These pain points demonstrate that multi-agent is not simply adding people, but requires a systematic distribution and collaboration mechanism.

Psychological Cost of User Waiting and Business Losses

Psychological research shows that users’ anxiety starts to rise after waiting 30 seconds; after more than 2 minutes, churn rates increase significantly. In Telegram customer service scenarios, the cost of waiting is more direct:

• Decreased conversion rate: For users inquiring about “product prices” or “event rules,” each additional minute of waiting reduces purchase intent by 10%-15%.
• Damaged community reputation: Users publicly complain in the community that “customer service doesn’t reply,” affecting the trust of other potential users.
• Wasted advertising spend: If users are acquired through paid ads, churn due to waiting means the ad money is wasted.

Core Solution: Use Session Diversion for “Automatic Queuing and Intelligent Assignment”

To solve the above issues, the core is to upgrade from “manual order taking” to “systematic automatic diversion.” TG-Staff’s session diversion feature is designed for this purpose: When a user sends a message to the bot, the system automatically treats it as a “session” and, based on preset rules, fairly and automatically assigns it to currently online agents without manual intervention.

Round-Robin vs. Online-First: Applicable Scenarios for Two Main Strategies

Session diversion offers two assignment rules, and teams can choose based on campaign characteristics:

Assignment Rule	How It Works	Applicable Scenarios	Pros	Cons
Round-Robin (Default)	The system assigns new sessions sequentially according to the agent list order. For example, agents A, B, C take turns: A→B→C→A→…	Stable agent count (e.g., 3-5 people) with consistent working hours; suitable for daily customer service shifts.	Absolutely balanced workload; each agent handles a similar number of sessions.	If an agent temporarily goes offline, subsequent sessions will not automatically skip, wasting that agent’s turn in the rotation.
Online-First	The system only assigns sessions to agents currently “online”; if all agents are offline, it falls back to round-robin.	Campaign peaks (agent online rate is uncertain); or when there are part-time or remote agents with inconsistent online times.	Fastest response—new sessions are immediately assigned to online agents, avoiding offline agents occupying assignment slots.	Online agents may handle more sessions, so their workload needs monitoring.

Practical advice: During campaigns, it is strongly recommended to switch to “Online-First.” The reason is simple: during peak campaign times, all agents should remain online; if someone temporarily disconnects, the system can automatically skip them, preventing users from being assigned to an agent who is not on duty and thus receiving no reply. After the campaign ends, you can switch back to “Round-Robin” to balance daily workloads.

Project Agent Scope: Fine-Grained Control Over Who Handles Which Inquiries

Many teams have multiple bot projects, e.g., one for pre-sales inquiries, one for after-sales support, and another for technical feedback. If all agents can see all projects, it leads to inefficiency in handling cross-domain issues—technical agents are forced to answer pre-sales questions.

TG-Staff supports setting “agent scope” at the project level. You can:

• Assign 3 sales agents to the “Pre-Sales Project.”
• Assign 2 after-sales agents to the “After-Sales Project.”
• Assign 1 technical agent to the “Technical Project.”

Thus, when a user sends a message via the after-sales bot, the session is only assigned to after-sales agents, without disturbing the sales or technical teams. Fine-grained permission allocation lets professionals handle their expertise.

Diversion Links: Seamless Jump from Ad Click to Human Handling

Campaign traffic often comes from diverse sources: Twitter posts, Telegram community announcements, Google ads, email marketing. How to accurately direct users from different channels to the bot and track their origins? TG-Staff’s Diversion Link provides the answer.

A diversion link is a short URL (e.g., https://app.tg-staff.com/{code}). When a user clicks it:

1. They are automatically redirected to your Telegram bot.
2. During the redirect, the system captures the user’s IP, browser information, and your custom URL parameters (e.g., utm_source=twitter&campaign=summer_sale).
3. Once the user enters the bot, they are immediately assigned to an online agent, forming a complete closed loop of ad traffic → bot auto-reply → human agent handling.

Scenario Example: You posted a tweet about an airdrop campaign with an exclusive referral link. Users click the link and enter the Bot, which automatically replies with the campaign rules and prompts: “If you need human assistance, please leave a message.” After the user types a question, the conversation is immediately assigned to an online agent. The agent can see in the chat interface that the user came from Twitter, and can even trace back to the specific tweet URL. This traceable conversion loop is crucial for evaluating marketing ROI.

Practical Deployment: Customer Service Configuration Checklist Before, During, and After Campaign

Below is an actionable checklist to help you quickly set up and adjust your multi-agent customer service system throughout the campaign lifecycle.

Before Campaign: Agent Account Setup and Routing Rule Pre-configuration

1. Create Agents: Based on your plan quota (Standard supports 3/5/20 agents), create the corresponding number of agent accounts in your TG-Staff project and invite team members to log in.
2. Create Project and Bind Bot: Create a project in the console, enter your Telegram Bot Token, and complete the binding.
3. Configure Routing Rules:
   • Go to Project Settings → Routing Rules.
   • Select “Online First” (recommended during campaigns).
   • Configure project service scope: if the campaign involves multiple business lines, assign agent groups as needed.
4. Create Routing Links: Generate short links in the “Routing Links” module and replace all old links in ads and social media posts.
5. Test Everything: Use a test account to simulate a user clicking the routing link → entering the Bot → sending a message → confirming that the agent side can receive and reply normally. Make sure all agents log into the Web console in advance to verify account permissions and network connectivity.

During Campaign: Real-time Monitoring and Conversation Transfer

• Monitor Real-time Status: In the agent panel, you can view the number of online agents and pending conversations.
• Use Conversation Transfer: When an agent encounters an issue they cannot resolve (e.g., user complaint escalation), they can transfer the conversation to a supervisor or specialized agent with one click. The transfer includes previous chat history, preventing the user from repeating themselves.
• Use Private Notes (Pro): If an agent needs to record key user information (e.g., order number, special requests), they can add private notes visible only to themselves, without affecting the user side.

After Campaign: Review Conversation Data and Optimize Configuration

• Analyze Peak Hours: Use user profiling and statistics features (Pro) to view peak conversation volumes, average response times, and user satisfaction during the campaign.
• Adjust Agent Count: If you find insufficient agents during certain periods, consider purchasing additional agents in advance for the next campaign (Standard supports temporary upgrades); if agents are underutilized, downgrade to save costs.
• Optimize Routing Rules: Check if “Round Robin” caused offline agents to receive conversations; consider using “Online First” again for the next campaign.

Avoiding Pitfalls: Common Mistakes and Solutions in Multi-Agent Customer Service

Even with routing rules configured, teams can still make basic mistakes. Here are three common issues and solutions:

1. No Offline Message Notification: When all agents are offline, new users’ messages enter a queue, but users don’t know when someone will reply. Solution: Configure a Bot auto-reply message like “All agents are currently busy. We will respond as soon as possible. Estimated wait time: 5 minutes.”
2. Agents Not Logging In and Testing in Advance: After the campaign starts, agents find they cannot log into the Web console, resulting in “online but unable to accept tickets.” Solution: One hour before the campaign, conduct a full login test to ensure accounts, permissions, and network are working.
3. Incorrect Routing Rule Configuration: Mistakenly using “Round Robin” during peak campaign hours, causing offline agents to occupy assignment slots. Solution: Perform a final check of routing rules before the campaign starts to confirm it is set to “Online First.”

Summary: From “Passive Queuing” to “Active Distribution” – Customer Service Upgrade

During peak marketing campaigns, customer service pressure essentially stems from the mismatch between traffic and manpower. With Telegram Multi-Agent support features like session distribution, distribution links, and agent collaboration, teams can upgrade from “passively waiting for users to queue” to “actively assigning users to the most suitable agent.” This not only improves response speed but also frees up operational teams to focus on higher-value conversions and repeat purchases.

TG-Staff, as a one-stop customer service and operations SaaS platform, provides a complete toolchain from bot binding and distribution rules to distribution links and internal control management. Whether you are a small startup or a mid-to-large overseas enterprise, you can quickly deploy before campaigns and turn peak customer service pressure into growth momentum.

Act Now: Sign up for a free trial of TG-Staff (https://app.tg-staff.com/），在活动高峰前完成多客服配置；或查阅文档（https://docs.tg-staff.com/）了解更多分流规则细节；如有疑问，可联系 and contact @tgstaff_robot for one-on-one support.

FAQ

Q: How can I ensure all users are promptly assigned to agents during peak campaigns? A: Use the session distribution feature with an “online priority” rule. The system will automatically assign new sessions to currently online agents. If all agents are offline, you can configure the bot to auto-reply with queuing info or prompt users to try again later.

Q: Do distribution links support tracking conversion performance from different ad channels? A: Yes. TG-Staff’s distribution links can capture visitor IP, browser info, and custom URL parameters, making it easy to evaluate traffic quality and agent acceptance rates from each channel.

Q: Can I test multi-agent features during the free trial? A: Yes. Register for TG-Staff and enjoy a 3-day free trial. During this period, you can create projects, invite agents, test distribution rules and links, and experience the full multi-agent session flow.

Q: If I need more agents during a campaign, can I add them temporarily? A: Yes. You can upgrade or purchase additional agents anytime based on your plan quota (Standard plan supports 3/5/20 agents). No redeployment is needed, and you can downgrade after the campaign to save costs. See the official pricing page for details.

Q: How can I prevent multiple agents from replying to the same user in multi-agent mode? A: Once an agent picks up a session, it is automatically locked, preventing other agents from operating simultaneously. Additionally, the session transfer feature ensures complete information handover, avoiding duplicate communication.