Everyone who's touched your product, in one list
Open People and you get the roster: every person Crossdeck knows, identified or not. Filter the list with the status chips — All, Anonymous, User, Trial, Paid, Churned — or search by ID, and you can narrow the feed to a city or country. It's how you go from "I have a lot of traffic" to "show me my paying customers" in one click.
Click a person; read the timeline
Click anyone and you land on their journey: a chronological stream of every event for that one person, newest at the top, with a header that pulls together their identity, device, and how they were acquired. The auto-captured events (page.viewed, session.started, clicks, Web Vitals) sit alongside the domain events you fire (trial_started, feature_used) and the milestones that matter most — entitlement grants and revokes, the plan they're on. The timeline even shows the time elapsed between steps, so you can see where they paused.
One record, the whole lifetime
The journey is the same canonical person record you met in Cross-platform identity. When an anonymous visitor signs in, their pre-auth device handle aliases into their user — so the pricing-page visit from before they had an account sits on the same timeline, just below the moment they signed up. You're not reading two fragments stitched together at read time; you're reading one person's continuous lifetime.
That's why the journey is the fastest way to answer "what actually happened to this customer?" — a support question, a churn post-mortem, a "did my new onboarding work?" check. Everything you set up in the last two lessons — your domain events, your super properties, your groups — is what makes each entry on this timeline worth reading.
Find a customer, read their whole story
Filter People to Paid, open a customer, and read top to bottom: how they arrived, what they did before they converted, when the entitlement was granted, and what they've done since. That's the journey — and it's complete because identity kept them as one person the whole way through.
user_847's timeline: a referral visit, the pricing page, trial_started, the entitlement granted, and the first feature used — one continuous story.