As developers race to personalize user experiences, Sahha’s new API offers a shortcut, converting streams of raw health data into evolving profiles
Sahha, a behavioral health data company, has launched an API that converts complex wellness metrics into intuitive user profiles. Dubbed Sahha Archetypes, the tool analyzes long-term patterns in sleep, activity, and mental wellness, giving developers a way to segment users and tailor digital experiences without the need for custom clustering models.
The API outputs weekly or monthly refreshed labels designed to reflect evolving behavioral traits. These fall into two types: ordinal labels that rank behaviors (such as ranking sleep duration from “very short” to “long”) and categorical labels such as “early bird” or “night owl.” With one integration, developers can group users by real-world behavior and trigger dynamic in-app experiences or notifications personalized to each profile.
The system also supports cohort analysis, allowing teams to compare engagement, retention or outcomes across behavioral groups, enabling more targeted strategies.
“Clicks and views alone don’t tell you much in the world of fitness and well-being,” Sahha founder Aleks Dahlberg said. “Serious companies need tangible data to build better, more relatable products. With Archetypes, we turn raw signals into living personas, so digital experiences can behave more like a coach who truly ‘gets’ you and even adapt as your habits evolve.”
As Sahha head of data and science Sugam Budhraja pointed out, Sahha Scores are the snapshot, while Archetypes are the character arc.
“Because they smooth out day-to-day noise, they’re perfect for automations, cohort analysis and long-term habit change,” Budhraja said.
The Archetypes API is now available for all Sahha partners.