Case Study · Marketing & Product Analytics · 2024
Product Intelligence: Cross-Platform Analytics Reporting
Eliminated user behavior "blind spots" across mobile and web SaaS products by architecting the company’s first automated data visualization and intelligence suite.
Fragmented user data and zero centralized visibility into feature engagement.
Without unified cross-platform observability, product and marketing decisions relied heavily on assumption rather than data. We lacked the instrumentation to track the end-to-end user journey across web and mobile, creating an urgent need for an intuitive analytics framework that translated raw telemetry into business insights.
Four moves, sequenced
01 — Cross-Functional Architecture
Spearheaded the implementation strategy with development teams to deploy and configure Firebase (iOS/Android) and GA4/GTM (Web), ensuring clean data collection and data layer consistency.
02 — Looker Studio Synthesis
Engineered automated, multi-source dashboards in Looker Studio, blending complex app and web datasets into intuitive, high-level reporting streams tailored for executive decision-making.
03 — Governance & Alignment
Directed discovery sessions with C-suite and Product Managers to define core insights, establish custom engagement metrics, and establish a weekly automated reporting cadence.
Measurable lift
The dashboard itself wasn't the final milestone; the ultimate value was the cultural shift it enabled. By putting user demographics and feature engagement into a weekly, digestible format for leadership, we transformed roadmap planning from an exercise in opinion into a data-backed strategy.
Long-form editorial body reserved for v2.