{
    "type": "INDUSTRY_SOLUTION",
    "requirements": {
        "code_envs": [
            {
                "name": "solution_marketing-mix-modeling",
                "lang": "PYTHON",
                "deploymentMode": "DESIGN_MANAGED",
                "pythonInterpreter": "PYTHON311",
                "packages": [
                    "dash==2.3.1",
                    "dash_bootstrap_components==1.0",
                    "google-meridian==1.0.6",
                    "plotly==5.23.0",
                    "Flask<2.3",
                    "dash==2.3.1"
                ],
                "conda": false,
                "installCorePackages": true,
                "corePackagesSet": "PANDAS22",
                "installJupyterSupport": true
            }
        ]
    },
    "version": "1.0.0",
    "meta": {
        "name": "Marketing Mix Modeling ",
        "solution_line_of_business": [
            "Marketing / Sales / Customer"
        ],
        "solution_category": [
            "Retail & CPG"
        ],
        "solution_type": [
            "Template"
        ],
        "main_industry": "retail",
        "section": "Solutions",
        "description": "Use Marketing Mix modeling and evaluate different marketing budget scenarios to optimize spending.\n\n\n",
        "long_description": "Marketing Mix Modeling (MMM) is a powerful analytical technique used to evaluate the effectiveness of various marketing strategies and their impact on sales. By analyzing historical data, MMM helps businesses understand how different marketing channels contribute to revenue, allowing for more informed decision-making regarding budget allocation.\n\nFor our project, we are utilizing Meridian, an open-source Python package developed by Google. This tool leverages Bayesian statistics to create robust marketing mix models that can easily be trained and interpreted. It is designed to be user-friendly, making it accessible for marketing teams without deep technical expertise.\n\nOur web application serves as the primary interface for you to interact with the MMM model and simulate different scenarios to compare with your current strategy. This will help you determine where to use your money most efficiently within your business's constraints.",
        "web_id": "solution-marketing-mix-model",
        "flag_release": "New Solution",
        "documentationURL": "https://knowledge.dataiku.com/latest/solutions/retail/solution-marketing-mix-model.html",
        "wordpress_url": "marketing-mix-model",
        "flag_max_date": "2026-02-07"
    }
}