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.
Build your business intelligence layer for free.
Askacme.com LiveFor 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.
Build your business intelligence layer for free.
Free to start, no card. Tracking, attribution and your first dashboard in under a minute.