Marketing Mix Analysis with Python
Campaign impact and ROI visualization
Marketing Mix Analysis: Measuring Channel Impact and ROI
Marketing & Revenue Operations
Industry
About the project
This success story shows how JCG approaches measurement when performance data is spread across channels. We structured the data, clarified the metrics that matter, and created visuals that make tradeoffs easy to understand—so teams can reallocate budget with confidence.
Project Type
Analytics & BI
Data Visualization
MarTech Enablement
Tech Stack / Toolbox
Python
Pandas
NumPy
Matplotlib
Plotly
SQL / ETL
Reporting
How Jordan Consulting Group Delivered Value
JCG translated multi-channel campaign data into a clear measurement framework—connecting spend to outcomes and making optimization decisions easier for stakeholders.
- Consolidated campaign and channel data into an analysis-ready dataset.
- Defined consistent KPI logic (ROI, CAC, contribution) to reduce reporting ambiguity.
- Built visuals that highlight marginal impact and diminishing returns by channel.
- Identified optimization opportunities and created a repeatable reporting structure.
- Packaged findings in a stakeholder-friendly narrative for decision-making.
Services Rendered
Related Certifications & Licenses
Project Images
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