Retail Enterprise AgentsMarketing & Retail Media DomainGemini Enterprise
📊 Marketing: Churn Prediction & Win-Back Triggers
Answers questions about customer churn risk scoring, category repurchase lapse intervals, automated win-back promotional offers, and reactivation cohort ROI. 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 are our current customer churn risk distributions and which departments have the highest lapsing rates?" — Synthesizes internal BigQuery conversational analytics query and computes KPI summary.
Turn 2 (Market Context / Google Search):"What are industry standard reactivation rates and discounting strategies for lapsed retail customers?" — Grounds analysis against external retail benchmarks and industry context.
Turn 3 (Visual Artifact / Matplotlib):"Render a bar chart showing lapsing rates by department and reactivation ROI multipliers." — Generates and renders a custom chart visualization artifact inline.
Turn 4 (Executive Canvas Presentation):"Create a 4-slide executive presentation summarizing the Churn Prediction & Win-Back Triggers analysis and recommendations above." — Automatically creates a 4-slide deck and showcases each slide via the bottom thumbnail rail.