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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.

The Challenge

Fragmented user data and zero centralized visibility into feature engagement.

Product Intelligence: Cross-Platform Analytics Reporting — cover
The strategy

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.

The result

Measurable lift

1st
Centralized product intelligence and automated reporting infrastructure built from scratch.
Unified
Cross-platform telemetry bridging the gap between web SaaS and mobile app ecosystems.
Data-Driven
Empowered product enhancements, tailored sales outreach, and marketing campaigns based on real-time engagement metrics.