PeopleSearch and segment individual users
Build a condition out of events and traits, get the exact list of people, then open any one of them and read their whole history.
For E-commerce
This runs on your own data in under a minute.
What it is good for
Every aggregate eventually needs a name on it. People lets you go from a number straight to the individuals inside it, with their full cross-device history, and then act on that list. It is also the fastest way to sanity-check a report: if the list looks wrong, the report is wrong.
- Turning a segment into an actual list of people
- Reading one customer’s complete history across devices
- Checking that a report means what you think it means
- Exporting or pushing a list to the tool where the work happens
How different businesses use people
The report is the same. What changes is the question you point it at.
E-commerce
Build the win-back list out of behaviour rather than a date field.
Bought at least twice, no activity in 14 days, sorted by lifetime value.
The win-back campaign goes to people worth winning back.

Give it your URL. It does the rest.
Free to start, no card. Tracking, attribution and your first dashboard in under a minute.
Want a hand? Get a live demo