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Integration

Connect Chatref to Make for smarter customer support automations

Priya NairHead of Customer Experience
11 min readAug 23, 2026

You have a Make scenario that fires when a form is submitted. It creates a contact, sends a Slack alert, and logs a row in a sheet. Smooth. But a customer on your website just asked a question in chat, and that chat sits in its own world. You manually copy the email, paste it into your CRM, and tag the conversation topic from memory. By the time you do it, the lead has cooled. That gap – between a live chat interaction and the rest of your automated workflows – costs you speed and accuracy every day.

Chatref closes that gap. It’s an AI customer-support tool that learns your business and answers questions in your brand’s voice. When you connect it to Make, every chat becomes a trigger for real work. You can capture leads, tag conversations, kick off follow-up sequences, and keep a human in the loop – all without writing a line of code. This guide shows you how the two tools work together, which workflows matter most, and how to set things up in minutes.

Why connect Chatref and Make

Chatref handles the front line of customer conversation. Its AI agent answers questions from your website, Slack, email, or WhatsApp. The agent pulls answers from your own docs, site, and files, so replies stay factual. But support doesn’t stop at the reply. You often need to record who asked what, alert the right person, or move data into other tools.

Make is a visual automation platform. You build scenarios that connect apps and move data between them. When you pair Chatref with Make, you turn a chat into the start of a multi-step process. A new conversation can create a lead in your CRM, add a tag for reporting, and notify a sales rep – all automatically.

You don’t need to replace your existing tools. You simply let Chatref and Make carry the repetitive work that slows your team down.

Common workflows to automate

Busy support and CX leads often start with a handful of high-impact automations. Here are the ones that save the most time by many teams’ accounts.

  • Lead capture to CRM: When a website visitor asks about pricing or a demo, Chatref can recognize the intent. Make then sends the contact details to your CRM, like HubSpot or Pipedrive, and assigns a follow-up task.
  • Conversation tagging for analytics: Chatref can auto-label chats by topic – “billing,” “technical issue,” “returns.” Make can log those tags in a reporting tool or a Google Sheet, so you see trends without manual sorting.
  • Slack or email alerts for specific topics: If a chat mentions a VIP customer or a high-priority issue, Make can ping a dedicated Slack channel or send an email to the right team member.
  • Follow-up sequences: After a chat ends, Make can trigger an email sequence in your marketing tool, sending a thank-you note or a feedback survey.
  • Custom actions from chat: Chatref can collect information like an order number or a preferred callback time. Make can then look up the order status in your backend and return a summary to the chat, or schedule a callback in your calendar.

These workflows all start with a real customer question. Chatref handles the conversation, and Make extends the outcome into the rest of your business.

Setting up the integration

You don’t need a developer to connect Chatref and Make. Both tools are built for non-technical teams.

First, you’ll need an active Chatref workspace with an AI agent trained on your content. If you haven’t set one up yet, you can start free and get an agent live on your site with a single snippet. The agent learns from your knowledge base – your help docs, website pages, or uploaded files – so its answers are grounded in your own information.

In Make, you’ll create a new scenario. Chatref provides a webhook or API endpoint that fires when certain events happen in a chat. You can set up a webhook in Make to listen for those events. Common triggers include:

  • A new conversation starts
  • A conversation gets a specific tag
  • A lead is captured
  • A custom action is requested

Once the webhook receives the event, you can add any modules you need: create a row in Google Sheets, add a subscriber in Mailchimp, send a message in Slack, or update a contact in your CRM. Make offers hundreds of app connectors, so the possibilities are wide.

The setup typically takes less than an hour for the first scenario, and you can clone it for other workflows. Because Chatref uses prepaid credits and no per-seat fees, you can test and iterate without worrying about a ballooning bill.

Capturing leads from chat into your CRM

One of the most immediate wins is lead capture. When a visitor on your website asks a question, Chatref can ask for their name and email if it’s relevant. That information becomes a lead record.

With Make, that lead doesn’t sit in a chat log. It flows directly into your CRM. For example, you can create a scenario that watches for a “lead captured” event from Chatref. The scenario then:

  1. Checks if the contact already exists in your CRM.
  2. Creates a new contact if needed, filling in name, email, and the chat transcript snippet.
  3. Assigns a task to a sales rep to follow up within an hour.
  4. Adds a tag like “chat-lead” for reporting.

This happens in seconds, while the lead is still warm. Your team sees the context immediately, without copy-pasting. And because Chatref’s AI agent answers in your brand’s voice, the initial interaction feels personal and helpful, not robotic.

Auto-tagging conversations for better reporting

Support teams often spend time manually labeling chats to understand what customers ask about. Chatref can apply conversation tags automatically based on the content of the chat. For instance, if a customer mentions “refund” or “return,” the chat gets tagged “returns.” If they ask about “login” or “password,” it gets “account access.”

Make can take those tags and push them into your analytics tools. You might:

  • Log each chat with its tags in a Google Sheet for a weekly review.
  • Send tagged chats to different Slack channels – billing questions to #finance-help, technical issues to #tech-support.
  • Create a dashboard in a tool like Google Data Studio that shows tag trends over time.

This gives you a clear, real-time picture of what your customers need, without anyone on your team doing the sorting. You can spot a spike in “shipping” questions during a holiday rush and adjust your knowledge base or staffing accordingly.

Triggering custom actions from chat

Sometimes a customer needs more than an answer. They might want to check an order status, book a call, or start a return. Chatref’s custom actions let the chat collect the needed info – like an order number – and then hand off to Make.

Make can connect to your order management system, look up the status, and send the result back to Chatref. The customer sees the update right in the chat window. Or, if they want a callback, Make can create a calendar event in Google Calendar and confirm the time.

These actions feel seamless to the customer because they never leave the chat. For your team, it eliminates the back-and-forth of “let me check and get back to you.” The AI agent and Make do the checking and getting back, instantly.

Keeping a human in the loop

Automation doesn’t mean removing the human touch. Chatref’s shared inbox lets your team watch live chats and step in whenever needed. If a conversation gets complex or sensitive, a person can take over with full context.

Make can help here too. You can set up a scenario that monitors for certain keywords – like “manager” or “urgent” – and immediately alerts a senior support agent via Slack or SMS. The agent can then open the Chatref shared inbox and join the conversation.

This hybrid approach gives you speed and consistency from the AI, plus empathy and judgment from your people. It’s not about replacing your team. It’s about making sure they spend time only on chats that truly need them.

How Chatref fits alongside other support tools

You might already use a helpdesk like Zendesk, Intercom, or Freshdesk. Chatref doesn’t force you to rip that out. Instead, it can sit on your website as the first point of contact, answering common questions instantly. When a chat needs a human, your team can jump in from Chatref’s shared inbox, or you can route the conversation to your existing helpdesk via Make.

Similarly, if you use a CRM like HubSpot or Salesforce, Chatref captures leads and hands them off through Make. Your sales team works where they always have. They just get better, faster data from the chat.

Chatref’s omnichannel support also means one AI agent works across web, Slack, email, and WhatsApp. Make can unify those interactions into a single view. For example, a customer might start on WhatsApp, continue on the web, and get a follow-up email. With Chatref and Make, that journey stays connected and visible.

What you need to get started

You can start with a free Chatref account. The setup is straightforward:

  1. Sign up and create a workspace.
  2. Train your AI agent by pointing it to your website, help docs, or uploading files.
  3. Customize the chat widget to match your brand – colors, logo, greeting – no code needed.
  4. Add the widget to your site with one snippet. It goes live in minutes.
  5. In Make, create a scenario using the Chatref webhook trigger and connect your apps.

Chatref’s pay-as-you-go model means you load prepaid credits and use them as conversations happen. There are no per-seat fees, so your whole team can use the shared inbox without extra cost. The AI agent answers in 11 languages automatically, which is helpful if you serve a global audience.

Key takeaways

  • Chatref’s AI agent answers customer questions from your own content, keeping replies accurate and on-brand.
  • Connecting Chatref to Make lets you automate lead capture, tagging, alerts, and custom actions without code.
  • A human can always step into a live chat from the shared inbox, so automation never locks you out.
  • You pay only for what you use with prepaid credits, and there are no per-seat fees.
  • The integration works alongside your existing CRM, helpdesk, and communication tools.

Frequently asked questions

Do I need a developer to connect Chatref and Make? No. Both platforms are built for non-technical users. You set up a webhook in Make and point it to Chatref’s events. The whole process is visual and guided. Most teams get their first scenario running in under an hour.

Can Chatref work with my existing CRM? Yes. Make connects to hundreds of apps, including popular CRMs like HubSpot, Salesforce, and Pipedrive. When Chatref captures a lead, Make can create or update that contact in your CRM automatically.

What if the AI gives a wrong answer? Chatref’s agent answers from your own knowledge base, so it sticks to facts you’ve provided. If it’s unsure, it can flag the chat for a human. Your team can also review conversations in the shared inbox and update the knowledge base to improve future answers.

How does billing work with Chatref? You buy prepaid credits and use them as conversations happen. There are no monthly per-seat charges. You can start free to test the integration and see how many credits your volume requires.

Can I use Chatref on channels other than my website? Yes. Chatref supports web, Slack, email, and WhatsApp. You can set up one AI agent to handle all these channels, and Make can unify the data from each into your workflows.

Start connecting Chatref and Make today to turn every customer chat into an automated, trackable action. You’ll spend less time on manual data entry and more time helping customers who really need you. Sign up free at https://app.chatref.ai/sign-up and see how quickly your first scenario comes together.

Priya Nair · Head of Customer Experience

Priya has spent over a decade helping support teams answer faster and stress less. She writes about the day-to-day of great customer support and how AI can carry the load.

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