Organizations use real-time tracking of ad impressions and clicks to assess the effectiveness of their ad campaigns, particularly during high-traffic events like flash sales or festivals. By leveraging machine learning and AI, these analytics can refine advertising strategies, such as personalized recommendations, to enhance customer engagement and drive profits. The tutorial provides a step-by-step guide on employing Redpanda’s Snowflake connector to perform real-time ad campaign analytics without coding. It involves setting up a Redpanda cluster and Snowflake account, configuring Redpanda Connect with Snowflake Streaming API, and creating a Streamlit app for interactive data visualization. The system captures and processes data from an HTTP server, storing it in Snowflake, and visualizes it through Streamlit to provide insights into engagement metrics like impressions, clicks, and click-through rates (CTR). The process is illustrated through a tech gadget manufacturer's ad campaign scenario, ultimately demonstrating the integration of Redpanda and Snowflake for real-time analytics and insights.