Retail Enterprise AgentsMarketing & Retail Media DomainGemini Enterprise
📊 Marketing: Geotargeted & Local Store Marketing
Answers questions about local store trade area demographics, geofenced mobile advertising campaigns, physical store foot-traffic lift, and localized promo code redemptions. 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 foot traffic lift and cost per store visit across local store digital campaigns, and which stores saw the highest promo redemptions?" — Synthesizes internal BigQuery conversational analytics query and computes KPI summary.
Turn 2 (Market Context / Google Search):"What are industry benchmarks for local mobile geofencing campaigns driving retail store foot traffic?" — Grounds analysis against external retail benchmarks and industry context.
Turn 3 (Visual Artifact / Matplotlib):"Render a bar chart comparing foot traffic lift % and cost per visit across store campaigns." — Generates and renders a custom chart visualization artifact inline.
Turn 4 (Executive Canvas Presentation):"Create a 4-slide executive presentation summarizing the Geotargeted & Local Store Marketing analysis and recommendations above." — Automatically creates a 4-slide deck and showcases each slide via the bottom thumbnail rail.