Connects AI assistants like Claude and Cursor to a Bayesian Marketing Mix Modeling platform for natural language data upload, model building, budget optimization, and scenario forecasting.
Sponsored
Simba is an open-source Model Context Protocol (MCP) server designed to bridge AI assistants with Simba, a powerful Bayesian Marketing Mix Modeling (MMM) platform built on PyMC-Marketing. This tool empowers users to perform a full marketing analytics workflow—from uploading marketing data and building sophisticated MMM models to measuring channel ROI, optimizing budgets, and running 'what-if' scenario forecasts—all through natural language commands within AI clients like Claude or Cursor. It democratizes advanced marketing analytics by eliminating the need for code, leveraging transparent Bayesian models for robust insights into media attribution and future planning.
主要功能
01Broad MCP Client Compatibility
021 GitHub stars
03Marketing Mix Modeling via AI Assistants
04Transparent Bayesian Models with PyMC
05Comprehensive Marketing Mix Modeling Workflow
06Budget Optimization and Scenario Planning
使用案例
01Building and analyzing Bayesian Marketing Mix Models through natural language prompts.
02Optimizing marketing budgets across various channels based on ROI and contribution insights.
03Running 'what-if' scenarios to forecast revenue changes from proposed marketing spend adjustments.