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Autoplay fits anywhere you want an AI agent to understand what users are doing in your product and act before they ask for help.

Outcome-focused use cases

Pick the outcome you’re optimizing for:

🎫 Reduce human support

Scope conversations precisely with full user context so more issues resolve in AI and fewer escalated to humans. When your support AI agent has full context on what a user was doing, it can scope conversations precisely β€” even redirecting poorly framed questions toward the right answer. Better context means better responses, which means more conversations resolved by AI and fewer escalated to humans. Less cost, happier users.

πŸ”„ Improve retention

Guide users toward their aha moment before they churn with proactive CX that knows where they are in the journey. Users churn when they don’t reach value fast enough. With Autoplay, you can configure your proactive CX to guide users toward their aha moment before they give up and look elsewhere. The agent knows where they are in the journey and nudges them forward at exactly the right time.

⭐ Improve CSAT

Deliver relevant, consistent support informed by what users have actually done in your product. When every interaction is informed by what a user has actually done in your product, responses feel relevant instead of generic. Users feel understood. That consistency β€” across every session, every touchpoint β€” is what turns satisfaction scores into lasting loyalty.

πŸ“ˆ Drive natural upsells

Surface the right features to the right users inside chat, based on history and in-product behavior. Surface the right features to the right users based on their history and in-product behavior. Instead of interrupting with a push notification or a forced modal, the upgrade conversation happens inside the chat β€” contextual, timely, and friction-free. Less forced, more converting.