Marketing Mix Optimization: 6-Week Proof of Concept

This comprehensive approach is designed to help you achieve your marketing goals and drive results, providing organizations with a way to consolidate, visualize, and comprehend historical marketing spending. We can develop a solution that uses an Azure reference architecture to help accelerate the implementation using Azure Data Factory, SQL/Data Lake, Databricks and integrate them with Power BI for consumption. For instance, it can help marketers understand the contribution each marketing channel makes toward sales and provides them with the tools needed to evaluate multiple scenarios to optimize investments across channels.

Target Customers

• Machine learning engineers
• Data scientists
• Business analysts
• IT professionals

Agenda

• Initial Consultation: Understanding your business goals and current marketing efforts
• Market Analysis: Engaging with business users to understand the target audience
• Assessment: Evaluating the current marketing mix and identifying areas for optimization
• Strategy Development: Developing data-driven marketing strategies to improve ROI
• Implementation: Implementing a statistical model that uses internal and external factors to determine the impacted sales over a period
• Data will be preprocessed using the ADF templates and accelerators available as part of the Marketing Mix Optimization Proof of Concept (POC) and will be stored in the Azure Data Lake Storage Gen2
• ML models will be built and trained in custom Python and Azure Machine Learning using custom algorithms available as part of the Marketing Mix Optimization POC
• Azure Databricks will be used for computation

Deliverables

• An assessment of the current marketing mix (identifying areas for optimization, etc.).
• Data-driven marketing strategies to improve ROI.
• Regular progress reports and recommendations for improvement.
• Presentation of final results and recommendations for future marketing efforts.

Benefits

• To implement a marketing mix model that helps marketers to understand and simulate the effect of advertising and to optimize tactics and delivery medium
• Data-driven marketing strategies to improve ROI
• Regular progress reports and recommendations for improvement
• Presentation of final results and recommendations for future marketing efforts