Autoplay knows what every user is doing in your product — in real time — and acts on that knowledge everywhere they are. Inside the app. In their inbox. From signup to activation.
Works with your existing stack
Autoplay is plug-and-play — nothing to rip out, nothing to migrate. Keep the analytics, support, and email tools you already run, like PostHog, Amplitude, FullStory, Intercom, Customer.io, and Klaviyo. Autoplay plugs into all of it and drives both surfaces from one behavioral layer.
Amplitude
Customer.io
Klaviyo
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Why Autoplay
Autoplay plugs into the tools you already use and adds the proactive layer they’re missing — same stack, now with eyes.
Capability
Your stack today
With Autoplay
Answers user questions
✓
✓
Sees real-time user behavior
✕
✓
Remembers each user’s history
✕
✓
Reaches out proactively, at the right moment
✕
✓
Understands product intent & friction
✕
✓
Visual, in-product guidance
✕
✓
Hands off to humans with full context
✕
✓
Personalized to each user’s journey
✕
✓
Personalizes email based on in-app behavior
✕
✓
Connects in-app and email to the same journey
✕
✓
Impact on product adoption
Indirect
Direct
WHY IT MATTERS
Most users discover less than 15% of your product. Autoplay reads every session and acts on it across in-app and email — so more users activate, stick around, and expand.
Guide every user to their aha moment in real time, before they drop off.
Catch friction and stalls early, then bring users back with email that knows exactly what they did.
Surface the right next step — and the right upgrade — based on what each user actually does.
ONE LAYER. TWO SURFACES.
Most tools pick a lane. Pendo lives in the app. Klaviyo lives in the inbox. Neither knows what’s happening on the other side. Autoplay owns both — because both run on the same real-time understanding of what each user is actually doing in your product.
🖥️ In-app
Real-time proactive guidance at the moment of friction — the agent sees what the user is doing right now and steps in before they give up.
✉️ Email
Personalized communication tied to what actually happened in the session — not a generic drip, but exactly what this user should do next.
HOW IT WORKS
One behavioral layer. Two surfaces. The full onboarding loop — no rip-and-replace.
01
Point your existing analytics — PostHog, Amplitude, FullStory — at Autoplay. It's already flowing; just a webhook, no code changes.
02
Pages visited, friction, progress, intent — Autoplay reads the full session, not just the events you track.
03
Proactive guidance at the moment it matters — the agent acts in real time, right where the user is.
04
Personalized to each user's specific journey — the email knows what they did and exactly what to do next.
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Most onboarding tools are single-surface: they show tooltips in your app, or send drip emails, or power a support chatbot — and they don't talk to each other. Autoplay is the layer underneath all of it: a single real-time view of what every user is doing in your product, driving both in-app guidance and personalized email from the same behavioral truth. We call it an OS because it's the intelligence layer other tools sit on top of, not another tool you swap in.
Those tools are rule-based: you define a tour, decide who sees it, and it fires on a schedule or a page load. Autoplay is behavior-driven — the agent reads what the user is actually doing right now and responds to that. It also has a second surface they don't: email. Your in-app guidance and your email are driven by the same session-level understanding of each user's journey.
Email tools are blind to what's happening inside your product. They see the events you explicitly track — 'signed up,' 'clicked X' — but not session-level behavior: where someone spent four minutes and gave up, what they tried and couldn't figure out, what they never discovered. Autoplay reads the full session and personalizes the email from that, then injects the content into your existing Customer.io or Klaviyo sequence. You don't replace your email tool — you make it smarter.
No. Autoplay plugs into what you already have. Your Intercom, Zendesk, or Fin stays exactly as it is — Autoplay gives it live behavioral context so it can act proactively instead of waiting to be asked. Your Customer.io or Klaviyo sequence keeps firing on its normal schedule — Autoplay writes personalized content into it before it sends. Nothing gets ripped out.
Two connections. First, point your existing analytics tool (PostHog, Amplitude, FullStory) at Autoplay — a webhook URL you paste into your analytics dashboard, no code changes. Second, connect your email tool with an API key. From there, Autoplay analyzes every new user session automatically and starts personalizing. Most customers are live within a day.
🛠️
The initial connection takes a developer about an hour. After that, the behavioral analysis and email personalization happen automatically — no ongoing engineering involvement. The in-app guidance layer has more configuration for teams that want it, but email personalization runs out of the box from the session analysis.
🤖
It means the system acts on its own judgment, not on rules you write manually. You don't define 'if user visits pricing twice, send email X.' Autoplay reads the session, understands what the user was trying to do, where they got stuck, and what they're ready for next — and generates a response to that specific situation. The agent decides what to say and when, based on behavioral context, not a decision tree.