Retail Enterprise AgentsMarketing & Retail Media DomainGemini Enterprise
📊 Marketing: CAC Payback Velocity & Unit Economics
Answers questions about paid and blended Customer Acquisition Cost (CAC) by channel, CAC payback velocity (months), new customer cohort repeat rates, and unit economics margin recovery. Orchestrates two sub-agents: **Data Insights**, which queries BigQuery via the Conversational Analytics API and BigQuery 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 paid vs blended Customer Acquisition Cost (CAC) by channel and which channels have the fastest payback period?" — Synthesizes internal BigQuery conversational analytics query and computes KPI summary.
Turn 2 (Market Context / Google Search):"What are current industry standards for e-commerce CAC payback periods and LTV:CAC ratios?" — Grounds analysis against external retail benchmarks and industry context.
Turn 3 (Visual Artifact / Matplotlib):"Render a bar chart comparing Paid CAC vs Target Ceiling and CAC Payback Period across channels." — Generates and renders a custom chart visualization artifact inline.
Turn 4 (Executive Canvas Presentation):"Create a 4-slide executive presentation summarizing the CAC Payback Velocity & Unit Economics analysis and recommendations above." — Automatically creates a 4-slide deck and showcases each slide via the bottom thumbnail rail.