Case Study: Wellthy captures $80,000 in revenue with Hightouch

Wellthy automates data-driven alerts to capture $80,000 in revenue

Wellthy, a care concierge platform supporting nearly 2 million lives, needed a better way to manage rapidly changing member eligibility and prevent onboarding issues caused by inaccurate data. With teams manually reconciling information across systems and no centralized view of members, the company turned to Hightouch, along with Snowflake and dbt, to build a more reliable data foundation and alerting workflow.

Using Hightouch, Wellthy implemented exception-based and look-forward alerts powered by Slack to surface data issues without interrupting dbt jobs or downstream reporting. The solution saved more than 27 hours of manual work per month and helped Wellthy capture $80,000 in annual lost revenue from just two alerts, while Snowflake became the single source of truth and dbt supported over 325 models and 2,500 tests.

Wellthy

Kelly Nelson Pook

Sr. Analytics Engineer