First-party data is information collected directly from the people who use a product, through that product itself. There is no middleman. When a recovery residence records an intake, logs a discharge, or tracks where a resident goes next, that record comes straight from the point of service.
It stands apart from two other kinds of data. Second-party data is someone else's first-party data, shared directly with you. Third-party data is aggregated and resold by companies with no direct relationship to the people in it, the model that powered most online ad tracking and that has steadily lost ground to privacy regulation and browser changes.
The distinction matters for recovery housing because the field has long relied on small, dated studies and self-reported survey snapshots. First-party operational data is different. It is captured as care happens, across many homes, on a continuous basis. When it is properly aggregated and de-identified, it becomes a source of real-world evidence at a scale and recency that published research rarely reaches.
That is what we are beginning to publish. The figures below are aggregate, de-identified data drawn from recovery residences using Sobriety Hub across 300+ organizations and more than 1,000 homes.
Type of activity: Real-world / observational outcome data Period: 2026 year to date
For 2026 year to date, the network shows:
Each figure reflects the stays where that field was recorded, which is why the sample size varies by metric. The full dataset covers 13,468 stays for 2026 year to date.
This is observational data, not a controlled trial. It does not establish causation. What it does offer is large-scale, current evidence that corroborates controlled findings at a scale and recency most studies cannot match. It also shows that the outcomes worth measuring in recovery housing can be captured consistently at the point of service.