Marketing Mix Models are often discussed as if the hardest problem is fitting the model. In practice, fitting the model is only the beginning. The harder challenge is turning a complex, uncertain statistical model into something that can reliably support real-world decisions. Our approach is built around a simple idea: separate learning the system from using...
Category: RADaR Analytics
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Campaign Performance Analyst Architecture Update
The Campaign Performance Analyst (CPA) project at RADaR has shifted from standard AWS/Snowflake tools to a custom Python architecture featuring proprietary custom AI agents and Anthropic's Model Context Protocol (MCP) Server. This overhaul significantly improved flexibility and cut query response times from two minutes to under 20 seconds. -
Campaign Intelligence Technical Architecture Research
As we move into development of our latest tool, Campaign Intelligence, we need to take a look at the high-level architecture and available resources before moving forward. This document serves as a reference for the research we did, the benefits and drawbacks of using specific integrations for our product, and the reasoning behind any decisions...