How cryptocurrency projects use TGBot to build community customer service and risk warning standard configurations

The community of cryptocurrency projects (DeFi, NFTs, exchanges or Web3 games) tends to be concentrated on Telegram. While the community is rapidly expanding, the customer service team often faces three thorny problems: massive repetitive inquiries overwhelming human agents, low communication efficiency among multi-lingual users, and agents mis-sending payment addresses resulting in asset losses. Based on the actual implementable functions, this article will explain in detail how to use the TGBot cryptocurrency project customer service solution - from precise attribution of diversion links, to multi-customer service session collaboration, to content risk control to maintain the bottom line of asset security, helping the team complete standard configuration within 1-2 hours.

Scenario pain points: The Web3 community has a large volume of inquiries and high risks, and traditional customer service is overwhelmed

A typical cryptocurrency project community may receive hundreds of messages every day:

• Bombing with repeated questions: How to purchase tokens, what is the contract address, when will the airdrop be distributed… The agent is tired of copying and pasting the same paragraph.
• Multi-language barriers: Community members come from Chinese, English, Japanese, Korean, Spanish, Russian and other regions, and agents need to frequently switch between translation tools.
• Chaos of agent collaboration: Multiple customer service staff are online at the same time, but they don’t know who is handling which session, causing users to queue repeatedly or miss orders.
• Asset Security Risk: The agent mistakenly sends a wrong payment address (such as TRC20 address) in the reply, and the assets cannot be recovered after the user transfers the money.

The accumulation of these problems not only reduces user experience, but may also cause financial losses and compliance risks. The core requirement is very clear: a TGBot cryptocurrency project customer service system that can efficiently handle traffic and manage risks in a refined manner is needed.

Diversion link: precise attribution link from advertising to manual agents

Traditional methods of attracting traffic (such as placing a Bot link on Twitter or the official website) can only bring users and cannot track the channel from which the users come. Diversion Link solves this pain point.

How to configure and use diversion links

In the TG-Staff console, generate an independent short link (such as https://app.tg-staff.com/abc123) for each promotion channel. Configuration steps:

1. Enter the “Diversion Link” page and click Create.
2. Select the Bot project to associate.
3. After generating the short link, embed it into the advertising landing page, Twitter post or official website button.
4. The user clicks on the short link → automatically jumps to the Telegram Bot → the Bot sends a welcome message and prompts the user to send a message → the message automatically enters the manual agent queue.

The system automatically captures each visitor’s IP, browser information, and source URL parameters. You can see it in the statistics later: How many inquiries did the Twitter channel bring? What is the conversion rate of Google Ads? This provides real data support for project parties to optimize advertising delivery.

Combined with session offloading rules to achieve peak workload

During peak traffic hours (such as after the airdrop announcement is released), the number of inquiries will increase instantly. At this time, the Session Diversion rule is required to automatically allocate sessions:

• Allocation in turns (default): Assign users to authorized agents in turn in order, suitable for teams with a fixed number of agents.
• Online Priority: Prioritize allocation to the currently online agents, and fall back to rotating allocation when all are offline, suitable for scenarios where agent schedules are not fixed.

You can specify “all customer service” or “some customer service” to participate in the offloading in the project settings to prevent novice agents from being assigned to difficult sessions.

Multiple customer service sessions and collaboration: No more queuing for community inquiries

How to avoid confusion when multiple agents are online at the same time? TG-Staff’s multi-customer service session mechanism provides the following collaboration capabilities:

• Session transfer: Agent A discovers a user problem and needs technical support, and transfers the session to agent B with one click, and the transfer record is traceable.
• Allocation Record: The allocation history of each session (who, when, transferred to whom) is clearly visible.
• Private Notes (Professional Edition): Agents can write internal notes during the session (for example, “This user is a VIP and needs priority”), which is only visible to the agent and does not affect the user-side conversation.

These features allow teams to manage Telegram inquiries like an enterprise-level ticketing system, so users no longer need to queue or describe issues repeatedly.

Content risk control: Prevent agents from mistakenly sending payment addresses and protect the security of project assets.

For cryptocurrency projects, content risk control (internal control management) is the most critical line of defense. If the agent mistakenly sends a wrong wallet address in the reply, it may cause the user to transfer funds to the false address, causing irreparable asset losses.

Configure risk phrase and wallet address monitoring

In the content risk control module of the TG-Staff console, you can create risk phrases, such as:

• Add the project’s official payment address (such as TRC20: TXYZ...) to the phrase to prevent agents from mistakenly sending an old or wrong address.
• Monitor specific address fragments (such as ERC20 address prefixes starting with 0x>) to prevent agents from leaking unauthorized payment information.

Configuration steps:

1. Enter “Content Risk Control” → “Risk Phrase” → create a phrase (such as “Official Payment Address”).
2. Add the complete address or address prefix/suffix to be monitored in the phrase.
3. Associate phrases to specified items.
4. Set the trigger action: Pop-up window for secondary confirmation (after the agent clicks to send, the system pop-up window prompts “This message contains risky words, do you confirm sending?”) or Directly prevent sending.

After a hit, the system will record the trigger details: who the agent was, in which session, at what time, and which risk word was triggered. These records are stored in the audit log.

Audit log: trace every risk trigger record

Audit logs support filtering by time, agent, session, and risk phrase. For example, you can quickly search “How many times did agent Zhang San trigger the payment address risk word in the past 24 hours?” This is extremely useful for post-mortem reviews, compliance reviews, and agent training.

Automatic translation and user profiling: breaking language barriers and accumulating user data

Web3 communities are naturally global. If your agents only understand Chinese and English, how can you serve Japanese, Korean or Spanish-speaking users?

• Automatic Translation: The standard version provides AI translation and supports translation between mainstream languages; the professional version has additional access to Google professional translation and DeepL professional translation, with higher translation quality and more abundant quotas (the professional version has unlimited translation). When an agent sends a message in Chinese, the system automatically translates it into the user’s language; when a user sends a message in a foreign language, the agent sees the translated content.
• User Portrait (Professional Edition): Agents can view the user’s historical conversation records, tags, source channels and other information during the session. For example, if a user has previously clicked on a diversion link on Twitter, the agent will know which channel he came from, allowing him to provide a more personalized service.

Start with a free trial: complete configuration and go online within one week

The following is an executable online timeline, and new users are advised to follow this order:

1. Day 1 (30 minutes): Sign up for TG-Staff free trial (3 days) and create your first Bot project.
2. Day 1 (30 minutes): Generate diversion links, embed them on the official website or social media, and test the jump process.
3. Day 2 (30 minutes): Configure session diversion rules (it is recommended to use “Online Priority” first) and add 2-3 agent accounts.
4. Day 2 (30 minutes): Configure content risk control risk phrases, and at least add the official payment address of the project.
5. Day 3 (30 minutes): Turn on automatic translation and set the default language pair.
6. Day 3-7 (Continuous): Go online and monitor data, and optimize diversion rules and risk phrases based on audit logs.

FAQ

**Q: How many seats are needed for TBGot cryptocurrency project customer service? **

Answer: It depends on community activity and consultation volume. It is recommended to have at least 2-3 agents for small projects (average 50-100 inquiries per day); for medium-sized projects (average 200-500 inquiries per day), 5-10 agents are recommended. The standard version of TG-Staff supports 3 seats, and the professional version supports 20 seats, and can be upgraded as needed.

**Q: What types of wallet addresses can content risk control monitor? **

Answer: Currently, it is supported to monitor whether messages sent by agents contain customized risk phrases, including TRC20, ERC20, BTC and other on-chain wallet addresses or address fragments. You can configure the complete address or address prefix/suffix that needs to be monitored in the risk phrase. If it is hit, the system will pop up a secondary confirmation window or directly block the sending.

**Q: Can split links be used for attribution on multiple advertising channels? **

Answer: Yes. Each diversion link is an independent short link. You can generate different diversion links for different channels (such as Twitter, Facebook, Google Ads, and official website). The system will automatically capture the visitor’s IP, browser information, and URL parameters to facilitate subsequent analysis of the traffic diversion effect and conversion rate of each channel.

**Q: What languages ​​does automatic translation support? **

Answer: The standard version uses AI translation and supports translation between mainstream languages (such as Chinese, English, Japanese, Korean, Spanish, French, German, etc.), with daily quota limits; the professional version additionally supports Google professional translation and DeepL professional translation, with higher translation quality and more abundant quotas (the professional version has unlimited translation), and is suitable for multi-language communities.

**Q: Will the data be lost after the free trial expires? **

Answer: After the 3-day free trial expires, your project configuration, session records, user data, etc. will be retained for a period of time (for details, please refer to the official website instructions). You can resume use immediately after renewal. It is recommended to complete the configuration and evaluate the effect during the trial period before deciding whether to upgrade.

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Want to experience diversion links, multiple customer service sessions, content risk control and automatic translation for yourself? Sign up for a TG-Staff free trial now (https://app.tg-staff.com/), no credit card required. If you need help with personalized configuration, you can contact the customer service Bot @tgstaff_robot or consult the official documentation (https://docs.tg-staff.com/).