Complete guide to the integration of Teleform and TG-Staff: closed loop from form submission to Telegram manual customer service

Converting Teleform form submissions directly into Telegram Bot manual customer service sessions is a secret weapon for many cross-border teams, SaaS companies and community operators to improve conversion rates. In the traditional form process, users often have to wait for an email reply after filling in the questions. The average response time is more than 24 hours - during which most potential customers have been lost. This article will explain in detail the integration method of Teleform and TG-Staff, and use the Diversion Link to achieve a closed loop of “submit and access manual customer service”, making every form submission an instant interaction.

Why do we need to connect Teleform and Telegram customer service?

Let’s look at a typical scenario first: Your company has placed a Teleform form on its official website to collect customer inquiries or pre-sales needs. The user fills in their name, email address and problem description, clicks submit, and then… waits. Email responses can take hours or even days, during which time the user may have switched to a competitor.

This disconnected experience can lead to:

• High churn rate: No immediate feedback after form submission, user patience is limited
• Low Conversion Rate: Inability to engage in conversations at the moment when user intent is strongest
• Information Island: Form data is separated from the customer service system, and agents need to confirm user needs a second time.

After Teleform is integrated with TG-Staff, users can jump to your Telegram Bot the moment they submit the form, and automatically trigger a manual customer service session. The agent sees the content filled in by the user on the TG-Staff Web portal, and goes directly to problem solving without repeated inquiries - the entire process changes from “asynchronous email” to “instant chat”.

Preparations before integrating Teleform with TG-Staff

Integration does not require writing a single line of code, but the following prerequisite steps are required. Please operate in order.

Prepare Telegram Bot and TG-Staff projects

1. Create Telegram Bot: Search for @BotFather in Telegram, send the /newbot command, and follow the prompts to set the Bot name and username. After completion, you will receive an API Token (in the form of 123456:ABC-DEF1234ghIkl-zyx57W2v1u123ew11), save it.
2. Register TG-Staff and create a project: Visit [TG-Staff Console] (https://app.tg-staff.com/) to register an account (enjoy a 3-day free trial), enter the console, click “Create Project”, enter the project name, and paste the Bot Token you just obtained. TG-Staff will automatically complete the binding.

Prepare Teleform form and get submission URL

1. Design form fields: Create a new form in Teleform and add the fields you need - such as “Name”, “Email”, “Problem Type” (drop-down selection), “Problem Description” (multi-line text). Make sure the field names are concise to facilitate subsequent URL parameter passing.
2. Get the redirect URL after submission: Teleform usually allows setting the “redirect after submission” or “success page URL”. Make a note of this configuration location first. We will fill in the TG-Staff distribution link later.

Core integration steps: Connect Teleform and TG-Staff using a split link

This is a key link in the entire integration. We will use TG-Staff’s diversion link to replace the “Submission Success Page” of the Teleform form with a smart jump link - after the user submits the form, it will automatically jump to your Telegram Bot and trigger manual customer service assignment.

Create a diversion link in TG-Staff

1. Log in to TG-Staff Console and enter the target project.
2. Find “Diversion Link” on the left menu and click “Generate New Link”.
3. The system will generate a short link in the shape of https://app.tg-staff.com/{code}. This short link automatically captures the visitor’s IP, browser information, and URL parameters.
4. Key step: Attach custom parameters. Add parameters at the end of the URL of the redirect link to pass the form content. For example:

   https://app.tg-staff.com/{code}?source=teleform&name={name}&email={email}&issue={issue}

   The {name}, {email}, {issue} here are placeholders, and Teleform will automatically replace them with the actual values when submitting.

Embed feed link into Teleform form

1. Return to the Teleform editing page and find the “Jump after submission” or “Success Page URL” setting item.
2. Paste the diversion link (including parameters) generated in the previous step. If Teleform supports dynamic field mapping, you can map form fields directly to URL parameters. For example:

   https://app.tg-staff.com/abc123?source=teleform&name=%%name%%&email=%%email%%&issue=%%issue%%

   (Please refer to the Teleform document for specific syntax, which usually supports {{field_name}} or %%field_name%% format)
3. Save the form and publish it.

Now, when users fill out the form and click submit, they will automatically be redirected to your Telegram Bot with the information they just filled out.

Configure session diversion rules to ensure accurate distribution of form users

The diversion link is responsible for directing the user to the Bot, and the session diversion rule determines who handles this user. TG-Staff provides two distribution modes:

Diversion mode	Working principle	Suitable scenarios
Allocation in turns	Polling authorized agents in order, each person is evenly distributed	Balanced number of agents, non-real-time response scenario
Online priority	Priority is assigned to the currently online agents, and the turn will be taken back when all are offline	Form customer service scenarios that require immediate response

For Teleform integration scenarios, it is recommended to select “Online First”. Users usually expect a quick response after submitting a form, and online priority mode can ensure that an online agent takes over as soon as possible. If all agents are offline, the system will fall back to rotational allocation, and agents can still take over the session after they come online.

Configuration path: Project Settings → Session Offload → Select “Online Priority” → Save. You can also set the “Project Customer Service Scope” here - select “All Customer Service” or specify a specific agent group to accept form users.

Cooperate with the visual command process to optimize the user experience from form to customer service

After the user jumps to the Bot, if the user directly enters the waiting state, the experience is still not good enough. Using TG-Staff’s visual command flow editor, you can design a friendly transition experience.

1. Enter TG-Staff project settings → Command process → Create new process.
2. Drag the “Welcome Message” node to set the automatic reply content. For example:

   感谢您通过 [产品名称] 表单提交咨询！
   我们已收到您的信息（问题类型：{issue}），正在为您分配专属客服，预计等待时间不超过 2 分钟。请稍候……

3. Add the “Read Parameters” node in the process, extract parameters such as name, email, issue from the offload link URL, and store them in the user portrait or session notes. In this way, the agent can see the complete form content when taking over.

Agent-side acceptance: complete link from form submission to manual reply

After the user completes the above process, the entire link looks like this:

1. User submits Teleform form → fill in name, email address, and problem description
2. Automatically jump to the diversion link → carry form parameters (source=teleform, name=xxx, issue=xxx)
3. Enter Telegram Bot → Trigger the command process and display the waiting message
4. TG-Staff assigns agents → Assign sessions to online agents according to the “online priority” rule
5. The agent takes over in the web portal → See the user portrait (including parameters submitted by the form) and session summary
6. Start Live Chat → The agent can reply directly without repeatedly asking for basic information.

For cross-border teams, TG-Staff’s automatic translation function is particularly valuable in this scenario: if a user submits a form in English, the agent can reply in Chinese, and the system automatically translates it before sending it to the user, and vice versa. The professional version also supports DeepL and Google professional translation, which is suitable for scenarios that require high-precision translation.

FAQ

**Q: Does the integration of Teleform and TG-Staff require any development or API docking? **

Answer: No need. The core integration is implemented through offloading links. You only need to fill in the offloading link generated by TG-Staff in the redirect URL after the Teleform form is submitted. There is no need to write code or call API.

**Q: After the user jumps from the Teleform form to the Bot, can the user automatically see the previously filled in form content? **

Answer: Yes. It is recommended to append parameters (such as ?name={name}&issue={issue}) to the offload link URL, read these parameters in the visual command process of TG-Staff, and display them to the user or pass them to the agent through the user portrait. In this way, the agent can see the complete form information when taking over.

**Q: Does the diversion link support advertising attribution tracking? **

Answer: Supported. Diversion links automatically capture visitor IP, browser information, and URL parameters. With custom parameters (such as utm_source=teleform), it can be used for multi-channel traffic attribution analysis. This feature is available for Standard Edition and above packages.

**Q: What happens to form users if all agents are offline? **

Answer: If the session offloading rule is set to “Online Priority” and there are no online agents, the system will fall back to the round-robin allocation mode. It is recommended to turn on TG-Staff’s offline message notification (via Bot or email) to ensure that the agent can take over the conversation after going online. You can also set an “offline prompt” in the command process to inform users of the expected response time.

**Q: Can I test the Teleform integration during the free trial? **

Answer: Yes. Sign up for TG-Staff and enjoy a 3-day free trial, including offloading link functionality. You can fully test the closed-loop process from Teleform form submission to manual customer service during the trial period without paying.

Conclusion and next steps

The integration of Teleform and TG-Staff upgrades the form from an “information collection tool” to an “instant interactive portal”. After submitting the form, users no longer passively wait for emails, but directly enter a manual customer service session - the response time is shortened from days to seconds, and the increase in conversion rate is a natural result. Whether it is pre-sales consultation, technical support or after-sales feedback, this closed loop can significantly improve user experience.

You can start experiencing it now:

1. Register for TG-Staff Free Trial
2. Create a project in the console and bind Telegram Bot
3. Generate diversion links and embed Teleform forms
4. Configure session diversion rules and command process
5. Invite agents to log in to the web portal and test the complete link from form submission to manual response

If you need help, please contact the official customer service Bot at any time: @tgstaff_robot. For detailed configuration documents, please refer to TG-Staff Documentation Center.