How can analytics reduce support tickets?

Every support ticket holds a signal. Chatref’s Insights mine your chat conversations automatically, tagging topics and surfacing the patterns that keep tripping up users. You get clear visibility into what is asked most and a digest email that makes it actionable. Instead of reacting to tickets, you can fix the root cause and stop those questions from ever landing in the queue.

Once Insights reveal the top repeat questions, you can answer them before they become tickets. Chatref’s knowledge-base grounds every response in your own help docs, guides, and changelog - no generic guesses, no hallucinations. Customers get an exact, source-linked answer the moment they ask, which keeps those common questions out of your team’s inbox.

Turning an insight into an automated answer is only half the job. Chatref’s AI agents don’t just point users at an article - they resolve the issue inside the chat. When you pair AI agents with custom-actions, the agent can collect details and trigger your own tools (like checking an account or resetting a plan) without a human having to step in. That automation shrinks ticket volume further, because users get the outcome, not a deflection.

Insights don’t just spot support gaps; they alert you to onboarding friction points where new users get stuck before they reach value. When you know which steps confuse users most, you can refine your onboarding flow and update your knowledge-base. An AI agent then guides new users through those exact steps, helping them self-serve from day one and cutting the future ticket load before it ever builds.

What questions do customers ask most often?

Chatref’s Insights automatically mine your chat conversations and tag them by topic. You get a digest that lists the most common question categories, with example conversations, so you know exactly what to fix or add to your knowledge-base.

How can I automate responses to common issues?

Use Chatref’s AI agents and knowledge-base. First, point the agent at your help docs - it learns your content and answers from it directly. Then, add custom-actions so the agent can perform account tasks (like looking up a subscription status or resetting a setting) without leaving the chat. The combination automates resolution, not just acknowledgment.

Can analytics help with onboarding?

Yes. Insights surface the specific steps where users drop off or get stuck during onboarding. You can then improve those onboarding materials and your knowledge-base, and the AI agent will walk new users through them in real time. The result: faster time-to-value and fewer tickets from confused new signups.