Answers questions about native mobile app daily/monthly active users (DAU/MAU), push notification campaign conversion rates, full-funnel purchase conversions, in-app crash-free session metrics (99.9% SLA), and mobile e-commerce industry benchmarks. Orchestrates two sub-agents: **Data Insights**, which queries BigQuery via the Conversational Analytics API and BigQuery's built-in forecasting/contribution/anomaly-detection tools, and **Market Context**, which answers external questions via Google Search grounding.
Duration5:45 (Normal Pacing)
Resolution1080p Full HD (1920×1080)
UI Scaling1.25x High-DPI Scaled Text
Model Runtimegemini-3.5-flash (Vertex AI)
📋 Multi-Turn Conversation Flow
Turn 1 (Data Insights / BigQuery):"What is our mobile app crash-free session rate and how does it differ between iOS and Android?" — Synthesizes internal BigQuery conversational analytics query and computes KPI summary.
Turn 2 (Market Context / Google Search):"What are industry standard benchmarks for retail mobile app conversion rates and push open rates?" — Grounds analysis against external retail benchmarks and industry context.
Turn 3 (Visual Artifact / Matplotlib):"Render a funnel chart comparing mobile app purchase funnel steps between iOS and Android." — Generates and renders a custom chart visualization artifact inline.
Turn 4 (Executive Canvas Presentation):"Create a 4-slide executive presentation summarizing the Mobile App Conversion & Engagement analysis and recommendations above." — Automatically creates a 4-slide deck and showcases each slide via the bottom thumbnail rail.