The Challenge
Complete Sleep had unstructured Amplitude data creating inconsistent reporting, limited internal expertise with the platform, and disconnected marketing attribution preventing teams from linking activities to outcomes.
The Solution
Adasight implemented a four-phase approach: Amplitude audit, tracking plan structuring, enablement and training, and marketing analytics consulting.
Key Results
- 90% of key product and marketing KPIs could be answered confidently
- Full Amplitude audit and cleanup completed
- Three teams trained on self-serve analytics capabilities
- Restructured tracking to improve user state distinction
The Challenge
Complete Sleep, operating in the healthcare and sleep medicine space with insurance submissions and oral device fulfillment, struggled with three primary obstacles. Unstructured Amplitude data created inconsistent reporting and unclear insights. Limited internal expertise with Amplitude meant teams were uncertain how to leverage the platform. And disconnected marketing attribution prevented teams from linking marketing activities to user outcomes like insurance submissions or device fulfillment. These issues hindered acquisition optimization, product flow improvements, and initiative validation.
What We Did
Adasight implemented a four-phase approach:
- Amplitude Audit — Reviewed existing implementation, event schemas, page coverage, and backend event forwarding to identify gaps and inconsistencies
- Tracking Plan Structuring — Created a comprehensive event taxonomy with standardized naming conventions and user journey state tracking
- Enablement and Training — Delivered customized sessions on chart creation, dashboarding, cohorting, and analytics fundamentals for three separate teams
- Marketing Analytics Consulting — Advised on UTM integration, performance marketing funnel alignment, and tool integration with Braze, Stripe, and Tatari
The Results
After the engagement, 90% of key product and marketing KPIs could be answered confidently through Amplitude. The full audit and cleanup was completed, three teams were trained on self-serve analytics capabilities, and tracking was restructured to improve user state distinction across the customer journey.
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