Archetypes

Persona, computed from real behavior.

14 archetypes, dozens of labels — like Early Riser, Highly Active, Frequent Exerciser. From weeks of passive data.

Free for 30 days · No credit card

Sahha archetypes card showing behavioral classifications.
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What you get

Labels humans and AI agents can read.

14 Archetypes across sleep, exercise & mental wellness

Who they are, not just what they did

Stable, human-readable labels — Early Riser, Short Sleeper, Highly Active — derived from weeks of data, not a point-in-time score.

Example archetypes
  • Efficient Sleeper
    sleep efficiency
  • Good Mental Wellness
    mental wellness
  • Frequent Exerciser
    exercise frequency
  • Regular Sleeper
    sleep regularity
  • Strength Oriented
    exercise type

Updated as behavior shifts

Four weeks of history land the day you integrate, then refresh weekly and monthly — with webhooks when a user moves between labels.

13 of 14 Archetypes that compute from smartphone data alone
What you build

Put archetypes to work.

Personalization

Adapt content, plans, and recommendations to each user’s archetype.

Onboarding

Tailor the first-run experience to a user’s archetype — no survey needed.

Segments & targeting

Build cohorts on stable archetype attributes in Braze, Klaviyo, or Segment.

Journey automation

Trigger flows when a user transitions between archetypes.

Risk detection

Treat a label like chronic_short_sleeper as a stable signal your care team can trust.

Reporting & BI

Profile your user base by lifestyle and habits over time.

For developers

One call. Every archetype, ready to use.

  • REST API
  • Webhooks
GET /api/v1/profile/archetypes/{externalId}
[
  {
    "name": "activity_level",
    "value": "highly_active",
    "dataType": "ordinal",
    "ordinality": 3,
    "periodicity": "weekly",
    "startDateTime": "2026-05-27T00:00:00Z",
    "endDateTime": "2026-06-03T00:00:00Z"
  },
  {
    "name": "sleep_pattern",
    "value": "consistent_late_sleeper",
    "dataType": "categorical",
    "periodicity": "monthly",
    "startDateTime": "2026-05-01T00:00:00Z",
    "endDateTime": "2026-06-01T00:00:00Z"
  }
]
Archetypes
Activity Level ordinal
moderately_active
Sleep Pattern categorical
consistent_early_riser consistent_late_sleeper chronic_short_sleeper
How it compares

Who your users are, without building it.

Sahha Archetypes Other health APIs Build it yourself
What you get back Who they are Raw numbers A blank page
History on join 4 weeks
Works from their phone 13 of 14 On you
Tells you when they change Webhooks If you build it
Live in Days Months

Other health APIs = typical wearable / health-data aggregators. None offer a behavioral persona product — they return raw metrics, leaving “who is this user over time?” to you.

Trust & compliance

Built for regulated health data.

Privacy by design

You hold the identity. We hold the data.

  • You provide an External ID for the user
  • No names, emails, phones, or other identifiers
  • DOB and gender — optional

Evidence-based

Validated, not vibes.

  • Built on published research
  • Validated across diverse demographics
  • Guards against bias in real-world populations

Compliance built in

Built for regulated environments.

  • Audited and certified
  • BAA and DPA available
  • Security documentation under NDA
FAQ

Common questions.

What is a behavioral archetype?

A stable, human-readable label — such as Early Riser, Short Sleeper, or Highly Active — derived from weeks of a user’s health and lifestyle data, rather than a single point-in-time score.

How many archetypes are there?

14 archetypes spanning sleep, exercise, mental wellness, and overall lifestyle. Each is either ordinal (a ranked scale) or categorical (a discrete bucket).

How long before a user gets an archetype?

Archetypes are observation-level and need enough history to be stable — typically a couple of weeks of data. 13 of the 14 compute from smartphone data alone; only one (sleep_efficiency) needs a wearable.

How do I use archetypes in my existing tools?

Sahha exposes archetypes over the REST API and emits webhook events on archetype transitions, so you can push them as profile attributes into CDPs and marketing platforms like Klaviyo, Braze, and Segment — and segment, route, and automate in the tools you already use.

How are archetypes different from health scores?

Scores answer “how is this user today?” Archetypes answer “who is this user over time?” — stable labels for segmentation and personalization rather than real-time state.

Know who your users are.

Connect a profile and get stable behavioral labels to segment and personalize on.

Free for 30 days · All products unlocked

  • 14 archetypes across sleep, exercise, wellness
  • Stable observations, not point-in-time scores
  • Ready for Klaviyo, Braze, or Segment
  • One integration unlocks every product
  • HIPAA, GDPR & SOC 2 compliant