Campaign Analytics Automation for Victory Beyond the Cup
An analytics and marketing automation case study showing how campaign activity can become structured reporting and decision support.
What this demonstrates
Campaign analytics reporting data flow
Conceptual visual overview
This is a conceptual representation of the architecture or workflow, not a full production diagram.
Data pipeline to activation
Customer data moving toward usable business workflows
Source Systems
Data Pipelines
Warehouse / CDP
Segmentation
Activation
Reporting
Problem
Manual campaign reporting makes it difficult to evaluate performance quickly, compare segments, and turn campaign activity into decisions while the campaign is still active.
Approach
Planned an automation model that captures campaign engagement, form submissions, UTM parameters, order signals, and segmentation attributes into dashboard-ready data structures.
Architecture
The design uses Salesforce Marketing Cloud automations and SQL to normalize campaign data, Google Sheets for operational review where appropriate, and dashboard-ready tables for reporting and decision support.
Tools
Outcome
- Reduced manual reporting effort
- Improved campaign visibility across engagement and conversion signals
- Created cleaner feedback loops for segmentation and journey decisions
- Turned campaign data into operational decision support
Lessons learned
- Campaign analytics should be designed before launch, not reconstructed afterward.
- Useful reporting connects audience, behavior, and outcome data in one operating view.