Reveal hidden user behavior
Your conversion rate dropped three points last week. You know users abandoned somewhere between signup and first purchase, but your funnel report shows nothing unusual. The data says everything's fine. Your revenue says otherwise.
This gap between what analytics show and what actually happens is why we built Tracks.
The invisible journey problem
Traditional funnels measure predefined steps: landed, signed up, added to cart, purchased. But users don't follow scripts. They browse pricing twice, return to the homepage, open the size guide, abandon the modal, come back an hour later. These detours—the events that happen out of order, the pages users visit "just to check"—determine whether someone converts.
You can't see these patterns in standard reports. You can't fix what's invisible.
What Tracks does
Tracks analyzes millions of events in your Grain data to reconstruct actual user journeys from any starting point to any goal. It reveals the paths users take—successful and failed—and surfaces the hidden moments that separate converters from abandonments.
For an e-commerce site, you might track the journey from "Product Page Viewed" to "Purchase Completed." Tracks shows you:
- Common paths: The sequences most users follow, successful or not
- Drop-off points: Where journeys end without conversion
- Hidden patterns: The out-of-order events that correlate with success
The entire journey, visualized as an interactive graph you can explore in seconds.
Convergence hubs: The leverage points
Here's what makes Tracks different: it identifies convergence hubs—events where many user journeys intersect, both successful and failed.
A hub might be a pricing page, a product comparison modal, or a size finder tool. These aren't necessarily the "important" events you'd put in a funnel. They're the events users visit organically during their journey, and they're statistically significant. Tracks uses graph theory to detect them: analyzing flow volume, connectivity patterns, and proximity to conversion.
Hubs reveal your leverage points. If 60% of converters hit the size finder before purchase, and only 10% of non-converters do, you've found something actionable. Make that tool more discoverable. Prompt users toward it earlier. Test its impact.
How it works
Create a Track by selecting a start event and a goal event. Tracks analyzes your user data to compute the paths between them.
The visualization shows each event as a node, with paths flowing between them. Start events appear on the left, goal events on the right. Hub nodes—marked with amber rings—sit at critical convergence points. Successful paths flow in green toward the goal. Dead-end paths branch in red where users abandon.
Adjust the number of paths shown to zoom into high-frequency routes or zoom out to see edge cases. The graph updates instantly, even across millions of events.
What you can do with Tracks
Optimize onboarding: Track "Signed Up" to "First Value Moment" to reduce time-to-activation. See which features early users engage with, which tutorials they skip, and where confusion causes abandonment.
Fix checkout friction: Map "Added to Cart" to "Purchase Completed" to identify where users hesitate. Discover which pages they revisit, which modals they dismiss, and which last events precede cart abandonment.
Understand feature adoption: Trace "Feature Announced" to "Feature Used" to see how users discover new capabilities. Find the hub events that correlate with activation.
Analyze re-engagement: Follow "Reactivation Email Clicked" to "Subscription Renewed" to understand what brings users back. Identify the critical moments that rebuild trust.
Available now
Tracks is live in Grain for all users. Start by defining a journey you want to understand—any start event, any goal event—and Tracks will show you what's really happening.
The paths your users take aren't linear. Your analytics shouldn't pretend they are.