Help prospects find value during evaluation, with behavior-aware chat that knows what they've explored.
Trial and anonymous-visitor traffic is where most signup-to-revenue funnels leak. People sign up because the pitch resonated, then bounce because the first session didn't connect their problem to the right surface in your product. By the time anyone notices, the trial has cooled off. Generic onboarding tours and reactive chat don't catch this — they treat every trial user identically, regardless of what the person actually came to do.
Autoplay closes that gap by giving your chat the same product-context the visitor has. It knows which pages they read before signing up, which feature they keep returning to, which steps they got stuck on, what they searched in your docs. When the AI engages — proactively or in response to a question — it does so already knowing the person's intent. The conversation can lead with the answer that matters to *them*, not the generic version.
For anonymous traffic this is even more valuable. Most pre-signup chat is a black box — visitor asks, AI answers, visitor disappears. With behavior context the AI can recognize evaluation signals (pricing page → docs → pricing again, comparing two features, repeated returns over multiple days), engage proactively at the right moment, and route serious buyers to demo booking instead of treating them like every other tire-kicker.
Higher visitor-to-trial conversion, higher trial-to-paid conversion, fewer trials that go silent, more qualified demo bookings from anonymous traffic.